Skip to main content
Erschienen in: Systematic Reviews 1/2024

Open Access 01.12.2024 | Protocol

Screening for hypertension in adults: protocol for evidence reviews to inform a Canadian Task Force on Preventive Health Care guideline update

verfasst von: Nicole Shaver, Andrew Beck, Alexandria Bennett, Brenda J. Wilson, Chantelle Garritty, Melissa Subnath, Roland Grad, Navindra Persaud, Guylène Thériault, Jennifer Flemming, Brett D. Thombs, John LeBlanc, Janusz Kaczorowski, Peter Liu, Christopher E. Clark, Gregory Traversy, Eva Graham, Janusz Feber, Frans H. H. Leenen, Kamila Premji, Robert Pap, Becky Skidmore, Melissa Brouwers, David Moher, Julian Little

Erschienen in: Systematic Reviews | Ausgabe 1/2024

Abstract

Purpose

To inform updated recommendations by the Canadian Task Force on Preventive Health Care on screening in a primary care setting for hypertension in adults aged 18 years and older. This protocol outlines the scope and methods for a series of systematic reviews and one overview of reviews.

Methods

To evaluate the benefits and harms of screening for hypertension, the Task Force will rely on the relevant key questions from the 2021 United States Preventive Services Task Force systematic review. In addition, a series of reviews will be conducted to identify, appraise, and synthesize the evidence on (1) the association of blood pressure measurement methods and future cardiovascular (CVD)-related outcomes, (2) thresholds for discussions of treatment initiation, and (3) patient acceptability of hypertension screening methods. For the review of blood pressure measurement methods and future CVD-related outcomes, we will perform a de novo review and search MEDLINE, Embase, CENTRAL, and APA PsycInfo for randomized controlled trials, prospective or retrospective cohort studies, nested case–control studies, and within-arm analyses of intervention studies. For the thresholds for discussions of treatment initiation review, we will perform an overview of reviews and update results from a relevant 2019 UK NICE review. We will search MEDLINE, Embase, APA PsycInfo, and Epistemonikos for systematic reviews. For the acceptability review, we will perform a de novo systematic review and search MEDLINE, Embase, and APA PsycInfo for randomized controlled trials, controlled clinical trials, and observational studies with comparison groups. Websites of relevant organizations, gray literature sources, and the reference lists of included studies and reviews will be hand-searched. Title and abstract screening will be completed by two independent reviewers. Full-text screening, data extraction, risk-of-bias assessment, and GRADE (Grading of Recommendations Assessment, Development and Evaluation) will be completed independently by two reviewers. Results from included studies will be synthesized narratively and pooled via meta-analysis when appropriate. The GRADE approach will be used to assess the certainty of evidence for outcomes.

Discussion

The results of the evidence reviews will be used to inform Canadian recommendations on screening for hypertension in adults aged 18 years and older.

Systematic review registration

This protocol is registered on PROSPERO and is available on the Open Science Framework (osf.io/8w4tz).
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s13643-023-02392-1.
Nicole Shaver and Andrew Beck contributed equally to this work.
Dr. Kaczorowski also acted as a UOttawa ERSC clinical expert.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ABPM
Ambulatory blood pressure measurement
BP
Blood pressure
CCT
Controlled clinical trial
CVD
Cardiovascular disease
DBP
Diastolic blood pressure
ERSC
Evidence Review and Synthesis Centre
GRADE
Grading of Recommendation Assessment, Development and Evaluation
HBPM
Home blood pressure measurement
KQ
Key question
NICE
National Institute for Health and Care Excellence
OBPM
Office blood pressure measurement
RCT
Randomized controlled trial
SBP
Systolic blood pressure
USPSTF
United States Preventive Services Task Force

Background

Definition

Blood pressure is a measure of the force of blood pushing against arterial walls. High blood pressure, or hypertension, is a common condition in which the blood vessels sustain persistently raised pressure [1, 2]. Large-scale population-based studies have found that the relationship between blood pressure and risk of cardiovascular disease is continuous and follows a decreasing gradient with no apparent threshold, at least down to a blood pressure of 115/75 mm Hg [3, 4]. Hypertension is often first observed through office-based screening and then diagnosed with follow-up blood pressure measurements. In Canada, the 2020 Hypertension Canada guideline recommends a threshold of systolic blood pressure (SBP) equal to or greater than 135 mm Hg and/or diastolic blood pressure (DBP) equal to or greater than 85 mm Hg for automated office blood pressure measurement (OBPM) with at least three readings take during the same visit, discarding the first reading and averaging the latter two (or >  = 140/90 mm Hg for manual office blood pressure measurement) for the diagnosis of hypertension [5]. If a patient meets these blood pressure thresholds with OBPM, then ambulatory (ABPM) or home (HBPM) blood pressure measurements are recommended to rule out white coat hypertension (individuals who are hypertensive when measured in office but normotensive in other settings [6]), with thresholds of 135/85 mm Hg used for diagnosis (or >  = 130/80 for 24-h mean for ABPM). Their guidelines differ for individuals with diabetes, where a threshold of manual OBPM >  = 130/80 for 3 or more measurements on different days is recommended for hypertension diagnosis [5].
European and UK standards for the diagnosis of hypertension are similar, with an office-based measurement threshold of > 140/90 followed by confirmatory measurements [7, 8]. In the USA, the American College of Cardiology (ACC) and American Heart Association (AHA) 2017 define hypertension thresholds by stage (stage 1: SBP 130–139 mm Hg and/or DBP 80–89 mm Hg; stage 2: ≥ 140 mm Hg and/or ≥ 90 mm Hg) measured by at least two high-quality measurements obtained on two or more separate occasions [9].

Description of disease burden

Hypertension is ranked as the leading risk factor for cardiovascular morbidity and death globally [10, 11]. Hypertension is also recognized as the number one contributor to disability-adjusted life years, a measure of overall disease burden defined as the number of years lost due to poor health, disability, or death [10] and is the most common reason for primary care visits in developed countries [12]. The global age-standardized prevalence of hypertension in adults in 2010 (defined as a blood pressure greater than or equal to 140/90 mm Hg) was 31.1% in high-income countries and 31.5% in low- and middle-income countries [11, 13]. A review of population-based Canadian surveys found that while the prevalence of hypertension had remained stable between 1992 and 2009, the rates of controlled hypertension (participants with previously diagnosed hypertension with a blood pressure of < 140/90 mm Hg) had increased, reflecting increases in awareness and treatment [14]. This trend may be shifting, as more recent Canadian data from 2007 to 2017 showed deterioration in hypertension awareness, treatment, and control, especially for older women [15, 16]. Additionally, deterioration in blood pressure control may have been further exacerbated by the COVID-19 pandemic [17]. A recent UK report estimated that almost half a million individuals missed out on treatment of high blood pressure due to COVID-19 [18]. The 2016–2019 Canadian Health Measures Survey revealed a hypertension prevalence of 22.6% (defined as an average blood pressure measurement of >  = 140/90 mm Hg over five readings or self-reported use of antihypertensive medications) in Canadians aged 20–79 years and an increase from 19.6% of adults reported in 2007–2009 [19]. However, this is not age adjusted and may be reflective of the aging Canadian population.
Healthcare organizations and professionals have made substantial efforts to reduce the burden of hypertension by increasing hypertension awareness, treatment, and control [20]. One study found that 84% of Canadians aged 20 to 79 with hypertension were aware of their condition between 2012 and 2015. However, young Canadians aged 20 to 39 were much less likely to be aware of being hypertensive (65%) than older individuals [21].

Risk factors

Blood pressure is regulated by a complex system of neurohumoral factors; an imbalance in any of these factors could contribute to the development of hypertension [22]. Hypertension that is caused by other conditions, such as primary hyperaldosteronism, renal disease, or obstructive sleep apnea, is referred to as secondary hypertension [23]. Most patients (90–95%) have primary or “essential” hypertension, in which no cause has been identified [22, 23]. The pathophysiological mechanisms of primary hypertension are thought to be multifactorial, involving both lifestyle and genomic factors [22, 24]. Non-modifiable risk factors include increasing age [25, 26], family history of hypertension [25, 27], and other comorbidities, such as type 2 diabetes mellitus or chronic kidney disease [5]. Modifiable lifestyle risk factors associated with increased risk of hypertension include excessive salt intake [2830], low intake of fruits and vegetables [3134], physical inactivity [32, 35, 36], alcohol consumption [32, 37, 38], tobacco smoking [27, 39], and being overweight or obese [25, 27, 32, 40, 41]. In North America, the prevalence of hypertension is higher in Black individuals compared with white individuals, as well as in individuals with South Asian or Indigenous ancestry [42]. These differences in risk may be largely explained by dietary patterns, smoking, and social factors such as socioeconomic status [4245] in addition to other contributors [46, 47].

Consequences of hypertension

Cardiovascular consequences include increased risk of angina, myocardial infarction, congestive heart failure, peripheral arterial disease, and stroke [3]. Beyond cardiovascular disease, hypertension is also a major risk factor for chronic kidney disease [48, 49], dementia [50, 51], retinopathy [52], and encephalopathy [53]. Hypertension is a leading modifiable risk factor for cardiovascular morbidity and mortality and all-cause mortality globally, and in Canada [54, 55], high blood pressure is estimated to contribute to more than 10% of the population-attributable fraction of premature deaths worldwide [56]. Globally, high blood pressure is associated with 15.2% of all deaths and 7.4% of all premature death or disability, and there have been numerous calls to action to diagnose and control hypertension to prevent negative health effects [15, 5760]. A systematic review evaluated the risk of cardiovascular events and found those with high normal blood pressure (130–139 and 85–89 mm Hg) had an increased risk of cardiovascular events (risk difference 0.69, 95% CI 0.43 to 0.97 per 1000 person years) compared to individuals with low normal or low blood pressure [61]. Associations were also seen for those with grade 1 hypertension (1.81, 95% CI 1.34 to 2.34 per 1000 person years) and grade 2 hypertension (4.24, 95% CI 2.58 to 6.48 per 1000 person years).

Screening for hypertension

Screening aims to detect high blood pressure in people who are asymptomatic and who do not have a previous diagnosis of hypertension. As hypertension rarely has early symptoms prior to an adverse outcome, it is most often not identified without screening [62]. In a 2017 survey of Canadian family physicians, the majority of physicians reported that manual OBPM with a mercury or aneroid device and stethoscope was their most frequent method to screen patients for hypertension, with automated OBPM being the second most popular screening method [63]. OBPM is subject to sources of error, including the white coat phenomenon [6, 64] and errors in the measurement procedure by the blood pressure taker [6567]. Blood pressure measurement through ABPM and HBPM methods is therefore recognized as superior to OBPM in accuracy [68] and more strongly associated with cardiovascular morbidity and mortality [6971]. However, there is emerging evidence that unattended (no medical personnel in the room) and fully automated OBPM assessment is comparable to awake ambulatory BP readings and may therefore minimize the “white coat” effect [68]. The American College of Cardiology (ACC) and American Heart Association (AHA) 2017 guidelines recommend OBPM both as a screening method for hypertension and to confirm the diagnosis [9]. Standard screening includes routine blood pressure measurements at appropriate clinic visits, regardless of previous measures or the interval since the last measure. Although this approach is simple, it has been suggested that a more nuanced strategy around screening intervals, such as risk-based screening intervals, may be more efficient for the prevention of cardiovascular disease [7274]. Practitioners would benefit from clearly defined optimal screening methods, frequency, and target population.
Given the risk of cardiovascular disease, hypertension screening could provide a benefit if previously unrecognized hypertension is diagnosed and brought under control. Evidence supports the efficacy of treating hypertension, both through pharmacological therapies [7578] and lifestyle interventions [29, 7981]. However, screening programs for hypertension can harm persons, for example, through labeling, overdiagnosis, or overtreatment [8284]. Hypertension requires lifelong management, and potential harms, such as psychological effects, adverse effects from medications, and increased burden on both the individual themselves and the healthcare system, must be weighed against the benefits of screening.

Evidence-based recommendations

In 2012, the Canadian Task Force on Preventive Health Care (“Task Force”) published recommendations on screening for hypertension in adults. Based on moderate-quality evidence from their systematic review, the Task Force recommended the following: (1) blood pressure measurement at all appropriate primary care visits (“appropriate” visits may include periodic health visits, urgent office visits for neurologic or cardiovascular-related issues, medication renewal visits, and other visits where the primary care practitioner deems it appropriate), (2) that blood pressure be measured according to the current techniques described in the 2012 Canadian Hypertension Education Program (CHEP) recommendations for office and out-of-office blood pressure measurement (see Additional file 1) [85], and (3) for people with elevated blood pressure measurement during screening, the 2012 CHEP criteria for assessment and diagnosis of hypertension should be applied to determine whether patients meet diagnostic criteria for hypertension [86, 87]. In 2015, the US Preventive Services Task Force (USPSTF) recommended screening for high blood pressure in adults aged 18 years or older and obtaining measurements outside of the clinical setting for diagnostic confirmation before starting treatment [88]. Regarding screening intervals, the USPSTF recommended annual screening for adults aged 40 years or older and those at increased risk for high blood pressure (i.e., high-normal blood pressure [130 to 139/85 to 89 mm Hg], overweight or obese, and African American). They suggest adults aged 18 to 39 years with normal blood pressure (i.e., < 130/85 mm Hg) and without risk factors be rescreened every 3 to 5 years. The USPSTF released an updated evidence review [89] and hypertension screening recommendations in April 2021 and reaffirmed their 2015 recommendations [90]. Hypertension Canada released guidelines for prevention, diagnosis, risk assessment, and treatment of hypertension in adults and children in 2020. They recommended that healthcare professionals trained to measure blood pressure should assess blood pressure in adults at all appropriate visits to determine cardiovascular risk and monitor antihypertensive treatment [5]. Regarding antihypertensive treatment initiation, Hypertension Canada promotes a risk-based approach to treatment thresholds, with low-risk patient populations (no target organ damage or CVD risk factors) having a threshold of SBP >  = 160 mm Hg and/or DBP >  = 100 mm Hg. The treatment initiation BP threshold is lower (SBP ≥ 130) for those at high risk of CVD (e.g., chronic kidney disease, Framingham risk score >  = 15%, age >  = 75 years) or those with diabetes mellitus (SBP ≥ 130 and/or DBP ≥ 80) [5].

Rationale, key questions, and approach

The Task Force is updating their 2012 guideline on hypertension screening in adults because new recommendations and relevant systematic reviews have been published since the original Task Force guideline. Further, the Task Force methods have evolved since 2012 and now consider evidence on patient values and preferences for screening and of screening methods. The hypertension working group will use the evidence from the planned systematic reviews to develop updated recommendations for primary care providers on hypertension screening. The key questions to be addressed are available in Table 1. Figure 1 presents the analytic framework of the KQs, relevant population, interventions, and outcomes to be considered.
Table 1
Key questions to inform an update of recommendations by the task force on hypertension screening in adults aged 18 years and older in primary care
Key questions
KQ1
What are the benefits and harms of screening for hypertension in adults?
KQ1a
How do the benefits and harms vary by (a) screening interval and (b) age at screening?
KQ1b
What is the cumulative incidence of hypertension (a) over different screening intervals and/or (b) at different ages?
KQ2
In adults without a prior diagnosis of hypertension, how do different blood pressure measurement methods predict CVD morbidity, CVD mortality, and all-cause mortality?
KQ3
In adults without a prior diagnosis of hypertension, and taking into account measurement method, at what cardiovascular disease risk levels should primary care providers initiate discussions regarding potential interventions for hypertension?
This guideline question will be addressed in this review by answering the key question:
“What is the effectiveness of initiating antihypertensive drug treatment at differing blood pressure thresholds or cardiovascular disease risk levels?”
KQ4a
What is the acceptability of screening for hypertension when informed of the possible benefits and harms from screening in adults?
KQ4b
Does the acceptability of screening differ by measurement method?

Methods

Protocol development

This protocol was developed by the Evidence Review and Synthesis Centre (ERSC) at the University of Ottawa (A. B. 1, A. B.2, N. S., B. S., D. M., M. B., J. L., J. F., J. K., F.L., K.P.) in consultation with the hypertension working group consisting of Task Force members (B. J. W., R. G., N. P., G. T. 1, B. D.T.), and with support from working group external clinical experts (C. E. C., J. K., P. L.), and the Science Team (C. G., M. S., G. T. 2). The full Task Force has approved this final version of the protocol, and peer reviewers and stakeholders have reviewed it. The methodology planned for the systematic reviews will follow the Task Force methods manual [91] with additional guidance from the Cochrane Handbook [92] and GRADE handbook [93].
Reporting of this protocol was completed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) checklist [94] (see Additional file 2). The protocol will be registered on PROSPERO. In addition, the protocol will be available on the Open Science Framework (osf.io/8w4tz). The working group, external clinical experts, and Science Team will not be involved in selecting studies, data extraction, or data analysis but may be consulted for advice if required. The ERSC will make all final decisions, and any amendments to the reviews and this protocol will be provided in the final manuscript.
Following development of an extensive scoping and refinement exercise led by the Science Team, the hypertension working group established and finalized the key questions and related PICOTS (population, interventions, comparators, outcomes, timing, and setting) with involvement from the entire Task Force, the ERSC, and the Science Team.
For KQ1, the working group considered available systematic reviews and decided to use the recent 2021 USPSTF review and their relevant key questions (KQ1 and KQ4) on the benefits and harms of hypertension screening as it aligns with the working group’s desired criteria and was judged to be of high quality using the AMSTAR-2 tool (Additional file 3) [89]. These 2021 USPSTF key questions will also be used to examine evidence on how benefits and harms vary by screening interval or age at screening (KQ1a) or, in the absence of data, what is the cumulative incidence of hypertension over different screening intervals and/or at different ages (KQ1b). The ERSC will not undertake updated searches of the USPSTF review. This topic does not have a rapidly evolving evidence base. To our knowledge, there have not been any screening trials published since the 2012 guideline that we would expect to change screening recommendations. Any additional new harms related to HBPM will be examined through targeted searches at the time of guideline development and will be addressed narratively. De novo systematic reviews will be conducted to address KQ2 and KQ4.
An overview of reviews will be undertaken to address KQ3. An overview approach was selected to maximize review efficiency, as there is a large evidence base of primary studies addressing treatment initiation for hypertension, as well as several high-quality systematic reviews that have summarized these primary studies. An overview approach will also enable us to explore concordance/discordance between existing systematic reviews in this area, where conflicting review results have previously been reported [95]. The methodology planned for the overview of reviews will be informed by the Cochrane Handbook (Chapter 5) [96], with additional supplementary guidance on overview methodology [9799]. To maximize efficiency and avoid duplication of efforts, we will use the National Institute for Health and Care Excellence (NICE, UK) 2019 review for initiating treatment of hypertension as the basis for our overview [100]. The KQ1 of the NICE review aligns with the working group’s desired criteria for KQ3, and the review captured systematic reviews of treatment initiation published since 2000. We will examine systematic reviews that were captured in the 2019 UK NICE review for inclusion (see the “Study selection” for further details on review selection) and search for any new systematic reviews that have been published since its conduct.
For KQ2 and KQ3, members of the working group developed a list of preliminary outcomes for key questions KQ2 and KQ3. For KQ1, outcomes were limited to those included in the 2021 USPSTF systematic review [89]. Through consensus, the outcomes for KQ1–KQ3 were rated by six working group members according to GRADE methodology as critical (rated 7 to 9 out of 9), important (rated 4 to 6 out of 9), or of limited importance (rated 1 to 3 out of 9) for making guideline recommendations [101]; only critical and important outcomes were retained for the systematic reviews. Outcomes related to KQ4 (acceptability) underwent a separate rating process.
The working group initially rated 11 outcomes as critical or important. Through consensus, it was decided that individual CVD-related morbidity outcomes would be collapsed into two categories: macrovascular CVD events (e.g., myocardial infarction, stroke, peripheral arterial disease) and microvascular complications (e.g., renal disease, retinal disease), thus collapsing into two versus five outcomes. Further, ‘overtreatment,’ although originally rated as an important outcome, was excluded given adverse effects of antihypertensive treatment, and overdiagnosis is already included. Therefore, a total of seven outcomes were included (see Table 2).
Table 2
Final set of outcomes deemed to be of critical or important for guideline development and decision-making
Outcomes
Priority
Potential benefit of reduced
 All-cause mortality
Critical
 CVD-related mortality
Critical
 Macrovascular complications (e.g., myocardial infarction, stroke, peripheral arterial disease)
Critical
 Microvascular complications (e.g., renal disease, retinal disease)
Important
Potential harm of increased
 Adverse effects of antihypertensive treatment
Important
 Overdiagnosis a
Important
 Psychosocial impact of screening
Important
aThe issue of overdiagnosis in hypertension is complex. Hypertension may be considered either a disease or a risk factor for cardiovascular events. We may dichotomize individuals as being hypertensive or not or assign them a risk of future event. These distinctions and the different recommended thresholds for diagnosis are important considerations in estimating the magnitude of overdiagnosis in hypertension

Eligibility criteria

The inclusion and exclusion criteria for KQ1, KQ2, KQ3, and KQ4 are listed in Tables 3, 4, 5, and 6. The working group will rely on the 2021 USPSTF systematic review and their KQ1 and KQ4 on the benefits and harms of hypertension screening [89].
Table 3
Key question 1, 1A, 1B eligibility criteria, from USPSTF 2021 review (KQ1: What are the benefits and harms of screening for hypertension in adults? KQ1a: How do the benefits and harms vary by (a) screening interval and (b) age at screening? KQ1b: What is the cumulative incidence of hypertension (a) over different screening intervals and/or (b) at different ages?)
 
Inclusion criteria
Exclusion criteria
Aim
Screening for hypertension in a primary care setting
Studies measuring blood pressure for reasons other than screening or confirmation of a hypertension diagnosis; mathematical transformation of blood pressure results (e.g., pulse pressure, variability) or diurnal variations (e.g., morning surge, dipping) for use as additional diagnostic criteria, predicting risk, or both
Population
Adults age ≥ 18 years
Pregnant women, children (age < 18 years), inpatients, persons in institutions, patients with secondary hypertension, and highly selected groups of patients (e.g., those with chronic kidney disease or renal transplant) who do not represent a primary screening population
Patients treated for hypertension with medication
Interventions
Benefits & harms:
Clinic-based, noninvasive brachial blood pressure measurement (manual or attended/unattended automated) using any common device or screening protocol during a single encounter
Harms:
HBPM and ABPM
Benefits & harms:
Blood pressure measurement with wrist and finger monitors, forearm cuffs, or ankle and toe measures; any method not commonly used in routine blood pressure screening (e.g., invasive methods, noninvasive method of central blood pressure measurement); Osler’s maneuver
Benefits:
HBPM and ABPM
Comparator
No blood pressure measurement with the intention of screening
 
Outcomes
Potential benefits of the following:
1. Reduced all-cause mortality
2. Reduced CVD-related mortality
3. Reduced macrovascular CVD events (cardiovascular disease events, including myocardial infarction, sudden cardiac death, stroke, heart failure, and hospitalization for coronary heart disease, symptomatic peripheral arterial disease)
4. Reduced microvascular CVD events (end-stage renal disease, vascular dementia)
Potential harms:
5. Increased harms of screening (e.g., labeling, absenteeism, quality of life measures, tolerability of ABPM devices)
6. Increased overdiagnosisa
Potential benefits or harms:
7. Increased/decreased quality of life
Cardiovascular symptoms (e.g., palpitations), angina pectoris (chest pain), revascularization, carotid intima-media thickness, left ventricular hypertrophy, or patient satisfaction
Timing of outcome assessment
No restrictions
No restrictions
Setting
Eligible primary care settings must have physicians or personnel trained in blood pressure measurement, established blood pressure measurement protocols, and ongoing documentation procedures
Settings not generalizable to primary care, inpatient/residential facilities
Study design
Benefits:
Randomized controlled trials (RCTs) CTs and controlled clinical trials (CCTs)
Harms:
RCTs, CCTs, and cohort studies
Benefits & harms:
Before-after studies, time series, case series, case reports, case–control studies, and simulation studies
Harms:
Cross-sectional studies
Country
Studies conducted in countries categorized as “very high” on the 2015 Human Development Index (as defined by the United Nations Development Programme)
Studies conducted in countries not categorized as
“very high” on the 2015 Human Development Index
Language
Englishb
N/A
Study quality
Fair or good qualityb
N/A
aWe will review included/excluded studies from the 2021 USPSTF systematic review to capture any information on overdiagnosis, as this was not an outcome originally included in the 2021 USPSTF review. Overdiagnosis will be addressed as part of the analysis at the synthesis stage. Outcome data for overdiagnosis will be extracted as reported by study authors
bThe USPSTF 2021 systematic review excluded studies published in languages other than English and studies deemed to be of poor quality (i.e., fatally flawed). We will review studies excluded for these reasons at the full-text stage and include these studies if they meet our other eligibility criteria for KQ1. Citation: Guirguis-Blake JM, Evans CV, Webber EM, Coppola EL, Perdue LA, Weyrich MS (2021) Screening for Hypertension in Adults: An Updated Systematic Evidence Review for the U.S. Preventive Services Task Force. https://​www.​uspreventiveserv​icestaskforce.​org/​uspstf/​document/​final-evidence-review/​hypertension-in-adults-screening
Table 4
Key question 2 eligibility criteria (In adults without a prior diagnosis of hypertension, how accurately do different blood pressure measurement methods predict CVD morbidity, CVD mortality, and all-cause mortality?)
 
Inclusion
Exclusion
Population
Adults aged 18 years or older without established or documented hypertension or CVD
A staged approach will be used to potentially consider indirect evidence for our population. We will consider populations of adults on antihypertensive medication or with documented hypertension, if we fail to find evidence on adults without documented hypertension or CVD
Pregnant women, children (age < 18 years), inpatients, persons in institutions, patients with secondary hypertension, and highly selected groups of patients (e.g., those with chronic kidney disease or renal transplant) who do not represent a primary screening population
Interventions
Blood pressure measured using any clinic-based noninvasive brachial measurement including manual OBPM and attended or unattended automated OBPM. Home or ambulatory blood pressure measurement with any measurement protocol
Non-brachial measures (e.g., blood pressure measurement with wrist and finger monitors, forearm cuffs, or ankle and toe measures), instruments requiring specialist expertise, personal wearable smartphone “apps”/devices, or similar
Comparator
Blood pressure measured using any other noninvasive brachial clinic-based, home, or ambulatory blood pressure measurement (with any measurement protocol)
Non-brachial measures (e.g., blood pressure measurement with wrist and finger monitors, forearm cuffs, or ankle and toe measures), instruments requiring specialist expertise, personal wearable smartphone “apps”/devices, or similar
Outcomes
Measures of association (e.g., risk ratios, hazard ratios) between BP levels measured at baseline using eligible measurement methods:
1. All-cause mortality
2. CVD-related mortality
3. Macrovascular CVD events (e.g., stroke, myocardial infarction)
4. Microvascular CVD complications (e.g., renal disease, retinal disease)
N/A
Study design
Eligible studies include comparative studies that follow a cohort of subjects over time and report the association of different BP measurement methods at baseline with outcomes of interest over follow-up
Eligible designs include RCTs, prospective or retrospective cohort studies, nested case–control studies, within-arm analyses of intervention studies
Non-nested case–control studies, before-after studies, time series, case series, simulation studies, editorials, commentaries
Language
English and French
Any other language
Setting
Primary care and community-based settings (e.g., pharmacy)
No country-based restrictions
Inpatient or medical specialist settings (e.g., hospital, ICU, specialist’s office)
Publication date
No limitation
N/A
Study quality
No restrictions
N/A
Table 5
Key question 3 eligibility criteria (In adults without a prior diagnosis of hypertension, and taking into account measurement method, at what cardiovascular disease risk levels should primary care providers initiate discussions regarding potential interventions for hypertension?)
 
Inclusion
Exclusion
Population
Reviews of adults aged 18 years or older who are not on current pharmacological treatment for hypertension
Reviews exclusively in individuals < 18 years, pregnant women
Reviews of patients with secondary hypertension and highly selected groups of patients (e.g., those with chronic kidney disease or renal transplant)
Interventions
Treatment initiation at a lower thresholda
• Systolic blood pressure targets: 110–119 mmHg, 120–129 mmHg, 130–139 mmHg, 140–59 mmHg, 160 mmHg, or above
• Diastolic blood pressure targets: 75–79 mmHg, 80–84 mmHg, 85–89 mmHg, 90–94 mmHg, 95 mmHg, or above
• Cardiovascular risk thresholds: (1) 5–9%, (2) 10–14%, (3) 15–19%, (4) above 20%
N/A
Comparator
Treatment initiation at higher blood pressure and/or cardiovascular risk thresholds
• Noncomparative data where all participants start at the same treatment threshold
• Studies do not stratify by two or more baseline blood pressure or CVD risk groups
Outcomes
Potential benefits
1. Reduced all-cause mortality
2. Reduced CVD-related mortality
3. Reduced macrovascular CVD events (e.g., stroke, myocardial infarction)
4. Reduced microvascular CVD complications (e.g., renal disease, retinal disease)
Potential harms
1. Increased psychosocial impact (e.g., stress)
2. Increased adverse effects from antihypertensive treatment
N/A
Study design
Systematic reviews of randomized controlled trials (RCTs)b,c
Primary studies, editorials, commentaries
Language
English and French
Any other language
Setting
Reviews in primary care and community-based settings (e.g., pharmacy)
No country-based restrictions (for systematic reviews or included primary studies)
Reviews in inpatient or medical specialist settings (e.g., hospital, ICU, specialist’s office)
Publication date
2018-present
N/A
Study quality
No restrictions
N/A
aThe BP measurement method will be recorded, and data will be presented by both BP/CVD risk threshold and measurement method, when available. Intervention treatment categories may be recategorized depending on what is reported in systematic reviews and our findings in KQ2.
bReviews will be considered systematic if they meet the four following criteria: (1) searches at least one database, (2) reports their selection criteria, (3) conducts quality or risk-of-bias assessment on included studies, and (4) provides a list and synthesis of included studies.
cSystematic reviews that include non-randomized studies will also be included if they report results from RCTs separately
Table 6
Key question 4a and 4b eligibility criteria (KQ4a: What is the acceptability of screening for hypertension when informed of the possible benefits and harms from screening in adults? KQ4b: Does the acceptability of screening differ by measurement method?)
 
Inclusion
Exclusion
Population
Adults aged 18 years or older without established or documented hypertension or CVD
Individuals < 18 years. Adults with established or documented hypertension or CVD
Interventions
Participants are provided with information on the relative magnitude of benefits and harms of screening for hypertension using any clinic-based, home, or ambulatory blood pressure measurement. An alternative is when investigators solicit the magnitude of benefits and/or harms where screening is acceptable
KQ3b: Subgroup analyses of acceptability by screening method (e.g., clinic, home, ambulatory measurement methods)
N/A
Comparator
Depending on the study design, comparator may be no screening, another form of screening, or a different form of information that does not include the magnitude of effects for benefits and harms
N/A
Outcomes
Acceptability measures
• Willingness or intentions to screen using a given measurement method
• Acceptability of screening using a given measurement method
• Others as suitable (e.g., intent to return for another screen, magnitude of benefits to make screening method acceptable)
N/A
Study design
RCTs, CCTs, observational studies with control groups that assess patient acceptability of screening
Systematic reviews, cost-effectiveness studies, qualitative studies, case report, and case series
Analyses of data that were not reported by patients (e.g., databases of health records) or on outcomes outside the perspective of individuals considering screening for hypertension
Studies reporting only access to screening and studies on knowledge or awareness about screening. Studies reporting only outcome prioritization, time trade-off, health state values, or willingness to pay
Language
English and French
Any other language
Setting
Any setting, no country-based restrictions
N/A
Publication date
No limitation
N/A
Study quality
No restrictions
N/A
Draft search strategies (Additional file 4) have been developed by an experienced medical information specialist and tested through an iterative process in consultation with the review team. Prior to running the final searches, the MEDLINE strategies for each KQ will be peer reviewed by another senior information specialist using the PRESS checklist [102] (see Additional file 5). With the exception of the additional database, Epistemonikos, searched for KQ3, all databases will be searched on the Ovid platform in multifile mode, using the Ovid deduplication feature before downloading the results. Results will be downloaded and deduplicated using EndNote (Clarivate Analytics) and uploaded to DistillerSR.
  • KQ1: No new searches will be conducted for KQ1, as we are relying on the USPSTF 2021 review.
  • KQ2: For KQ2, we will search Ovid MEDLINE® ALL, Embase Classic + Embase, APA PsycInfo, and EBM Reviews—Cochrane Central Register of Controlled Trials (CENTRAL) with no date limits. Draft strategies utilize a combination of controlled vocabulary (e.g., “blood pressure,” “cardiovascular diseases,” “risk assessment”), and keywords (e.g., “sphygmomanometer,” “cardiac disease,” “risk factor”). Vocabulary and syntax will be adjusted across the databases, and filters for RCTs, cohort studies, and other designs of interest will be applied in all databases except CENTRAL. No date limits will be applied.
  • KQ3: For KQ3, we will search Ovid MEDLINE® ALL, Embase Classic + Embase, and APA PsycInfo, as well as Epistemonikos. The draft strategies utilize a combination of controlled vocabulary (e.g., “hypertension,” “antihypertensive agents,” “heart disease risk factors”), and keywords (e.g., “high blood pressure,” “diuretic,” “risk factor”), with vocabulary and syntax adjusted across the databases. A filter for systematic reviews and meta-analyses will be applied. As the 2019 UK NICE review searched for systematic reviews prior to 2018, we will search from 2018 until present.
  • KQ4: For KQ4, we will search Ovid MEDLINE® ALL, Embase Classic + , and APA PsycInfo (no date limits). The draft strategies utilize a combination of controlled vocabulary (e.g., “hypertension,” “mass screening,” “patients/px [psychology]”), and keywords (e.g., “high blood pressure,” “early recognition,” “trade-off”). Vocabulary and syntax will also be adjusted across the databases. We applied filters for RCTs, controlled clinical trials, and observational studies. For KQ2, KQ3, and KQ4, animal-only records, opinion pieces, and conference abstracts will be removed where possible, and results will be limited to English or French.
We will supplement the electronic database search strategies with gray literature sources (i.e., sources other than peer-reviewed journals). We will follow the Canadian Agency for Drugs and Technologies in Health (CADTH) Grey Matters checklist [103] for relevant gray literature sources. The CADTH checklist includes health technology assessment agencies, guideline organizations, clinical trials registries, search engines, and additional databases. In addition to the CADTH checklist, we will search websites of relevant organizations as suggested by the working group and clinical experts. The full list of websites is available in Additional file 6.
Preprints will be eligible for inclusion in our de novo systematic reviews (KQ2/KQ4) and overview of reviews (KQ3) and handled based on the methodological considerations for use of preprints in evidence syntheses by Clyne and colleagues [104]. We will review bibliographic databases policies and coverage to ensure capture of relevant preprints. If preprints are included, we will check peer review status pre-specified intervals (full-text retrieval stage, results synthesis, search updates). If a final peer-reviewed version is found, we will check for differences between the preprint and the peer-reviewed version, and sensitivity analyses will be performed to assess the impact of inclusion of preprints on the overall review results and conclusions.

Study selection

Search results will be downloaded and deduplicated using EndNote (Clarivate Analytics) [105]. Results will be uploaded into the DistillerSR (Evidence Partners, Ottawa, Canada) online screening and extraction platform [106]. Screening forms for title and abstract screening and full-text review will be developed and pilot tested on a random sample of 50 titles and abstracts and 25 full-text articles or five reviews for KQ3. Any disagreements among reviewers will be resolved by discussion, and adjustments to the form will be completed as required. Pilot testing will continue until the disagreement rate between reviewers is low (i.e., < 5%).
Title and abstract screening will be completed independently by reviewers using the liberal accelerated approach [107]. This approach allows records that one reviewer selects as either potentially relevant (i.e., included) or unclear about relevance to advance to full-text review without a second reviewer. Any record labelled as excluded will be screened by two reviewers to confirm the decision to exclude. Resolution about disagreements will not be required during this stage. Full-text review will be completed independently and in duplicate by reviewers. Any discrepancies will be resolved by consensus among the reviewers or by a third reviewer.
If articles are not available electronically, we will request access through the university library interlibrary loan service. Further, we will contact the corresponding author (by email with a maximum of three attempts) for published or unpublished reports or data. Similarly, we will search to see if a corresponding publication exists for protocols of potentially relevant studies that we identify. Otherwise, we will contact the corresponding author to determine the publication status. We will review the included studies of related evidence-based guidelines and knowledge syntheses that were identified as part of the scoping and refinement exercise and from the electronic database and gray literature searches.
If an article lacks sufficient information for us to decide on eligibility, we will contact the corresponding author for additional information (by email with a maximum of three attempts). If a response is not received, we will exclude the article. We may consult with the working group and clinical experts for advice on potentially eligible studies. When consulting with the working group, we will anonymize the article to avoid study and data identification. The decision on eligibility will be determined independently by the ERSC. For the excluded studies, we will provide a list of excluded studies with reasons for exclusion, and the study selection process will be documented in a PRISMA flow diagram [108].

KQ1

For KQ1, a systematic review will not be conducted, and the working group will rely on the results for the relevant KQs in the 2021 USPSTF systematic review. However, we will review the 2021 USPSTF systematic review and their included and excluded studies to confirm that they meet the working group criteria and Task Force procedures (e.g., including French language publications and handling of studies deemed as of “poor quality”) [89]. We will also review included/excluded studies from the 2021 USPSTF systematic review to capture any information on overdiagnosis, as this was not an outcome originally included in the 2021 USPSTF review.

KQ3

For our overview of reviews (KQ3), study selection will also be informed by a process of data mapping, as there is a high likelihood that we will detect multiple systematic reviews that address the same research question (i.e., PICO criteria). These reviews will likely rely on the same evidence base, resulting in “overlap” (multiple systematic reviews that include the same primary studies) [96]. To address overlap, once eligible systematic reviews have been identified, we will map their research questions (i.e., PICO criteria) and review characteristics (i.e., search dates, comprehensiveness, and quality, as determined by AMSTAR-2). When multiple systematic reviews address the same research question, we will compare review characteristics. Reviews will be excluded if a more recent review of similar (or higher) methodological quality has been detected and if they contain no additional primary studies of interest or analyses to a more recent review [97]. In the cases of overlap where reviews cannot be excluded, we will calculate the degree of primary study overlap across systematic reviews using the corrected covered area (CCA) [109]. CCA will be calculated according to the protocol described in Pieper et al., with CCA of 0–5% representing slight overlap, 6–10% moderate overlap, 11–15% high overlap, and > 15% very high overlap [109]. We will calculate CCA at the outcome level, as well as pairwise CCA (the degree of overlap for an outcome between two reviews). A citation matrix will also be presented for each outcome to visualize the degree of overlap [109].
We will perform this process for both the systematic reviews captured in the 2019 UK NICE review, as well as any new systematic reviews found in our search update. Mapping of review characteristics will be performed by a single reviewer with verification by a second reviewer. The decision to exclude a review will be based on the aforementioned criteria, through consensus by at least two reviewers, and with additional review by the hypertension working group. When overlapping systematic reviews are included in the overview, the level of agreement between review results will be explored (see “Synthesis of included studies” section).

Data extraction

We will develop standardized extraction forms in DistillerSR and pilot test the forms on a random sample of five included studies for each KQ [106]. Any data extraction differences among the reviewers will be resolved by discussion or consulting with a senior reviewer. Adjustments to the forms will be completed as appropriate. Data extraction will be completed independently and in duplicate by reviewers. Any discrepancies will be resolved by consensus among the reviewers or by a senior reviewer. The preliminary data extraction items for each KQ are available in Additional file 7. Data will be reformatted and presented in the text and tables of the final manuscript as needed. If information is missing or unclear, then we will contact the corresponding author of the study for the required information thrice by email over 1 month. For multiple publications of the same study, we will extract data from the most recent publication, and the previous publications will be used as secondary sources.

KQ3

For our overview of reviews (KQ3), all relevant data (Table 5) will be extracted as they were synthesized/reported in the included systematic reviews. We will also extract risk-of-bias assessments directly from the included systematic reviews. We will not consult primary studies for additional information or verification of the data reported in the systematic review. If systematic reviews report a meta-analysis for an outcome, we will collect the pooled effect estimates with their associated confidence intervals and heterogeneity tests. For reviews that do not conduct a meta-analysis, we will extract outcome data based on the reporting in the review. In the case of no optimal quantitative data, we will extract a narrative summary of findings from the reviews.
If we identify discrepant data reported from primary studies in overlapping systematic reviews, we will review both systematic reviews to attempt to identify the source of the discrepancy. If we are unable to reconcile the discrepancies, we will contact the review authors to verify the information. Similarly, if risk-of-bias assessments in the systematic reviews are flawed, incomplete, or missing, we will attempt to contact the primary study author to verify the information. If we are unable to obtain complete risk of bias assessments, we will perform new risk of bias assessments using the methods outlined in the “Risk-of-bias assessment” section for primary studies.
In the case that a systematic review is partially in scope and only some of the included primary studies meet the eligibility criteria (e.g., inclusion of trials conducted in adolescents), we will determine if the review analyses are sufficiently direct to inform our key question. We will examine the relative contribution of the primary studies to the analysis presented in the systematic review synthesis. If results/analyses in the review are stratified by this factor, we may only include data that meet our eligibility criteria (e.g., include review results for adults only). Final inclusion or exclusion will be reviewed by the working group for their input, and all decisions will be documented and transparently reported in the final overview report.

Risk-of-bias assessment

Forms for the risk-of-bias assessments will be developed in DistillerSR [106]. Reviewers will pilot test each study design form for a random sample of five included studies. Any conflicts among reviewers will be resolved by discussion or by a third reviewer. Assessments will be completed independently and in duplicate by reviewers using the appropriate study-specific tool for the design of the included study. Any disagreements in the assessments will be resolved by consensus among the reviewers or by a senior reviewer.

KQ2/KQ4

We will use study design-specific tools that best account for potential sources of bias. For randomized and non-randomized controlled trials (KQ2, KQ4), we will use the Cochrane risk-of-bias tool for randomized controlled trials (version 2.0) [110], as recommended by the Task Force methods manual [111]. The outcome-specific domains (e.g., blinding of outcome assessors) will be assessed for each outcome within the study deemed to be of critical or important consequence (see Table 2) [112]. We will use the Agency for Healthcare Research and Quality guidance on assessing outcome and analysis reporting bias [113]. For cluster randomized trials, we will assess recruitment bias (when participants are recruited after the randomization of clusters) in the “other sources of bias” domain of the Cochrane tool [114]. We will rate the overall risk of bias as “low” if all the domains are low risk, “high” if at least one domain is high risk, or “unclear” if at least one domain is unclear, and no other domains are high risk. For observational studies (cohort and case control) (KQ2, KQ4), we will use the Newcastle–Ottawa scale [115], and the QUIPS (Quality In Prognosis Studies) tool will be used for predictor finding studies (KQ2) [116].

KQ3

For our overview of reviews (KQ3), the quality of systematic reviews will be evaluated using AMSTAR 2 [117]. We will rate the overall quality of a systematic review using the algorithm by Shea et al. [117]. If any of the seven critical AMSTAR 2 items are not met by a review, then we will judge the review to have a “critical flaw.” We will deem that the review has a “noncritical weakness” if any of the remaining noncritical items are not met. Any reviews with one or more critical flaws will receive a low or critically low rating, respectively. Reviews with a maximum of one noncritical weaknesses will be judged to be of high quality, and reviews with multiple noncritical weaknesses will be judged to be of moderate quality.

KQ1

For KQ1, the working group will rely on the study design-specific criteria used by the USPSTF which assigned a quality rating of “good,” “fair,” or “poor” [118]. Risk-of-bias assessments will only be conducted if studies excluded by the 2021 USPSTF systematic review are deemed to meet working group criteria and are included (e.g., French language publications).

Synthesis of included studies

KQ1, KQ2, and KQ4

When synthesizing evidence included in our systematic reviews (KQ1, KQ2, KQ4), we will describe the study characteristics, participant characteristics, intervention and comparator details, outcome results, and risk-of-bias assessments for the included studies. Original study data may be converted to ensure consistent presentation and synthesis of the results across studies. We will present the relative risk or odds ratio with corresponding 95% confidence intervals. For calculating relative and absolute effects with 95% confidence intervals and absolute risk reduction for the summary of findings tables, we will follow GRADE guidance [119, 120]. If various measurement tools were used across studies, we will report the standardized mean difference with 95% confidence intervals. We will present the range of effects and follow guidance on narrative synthesis when describing the results narratively [121, 122]. Overdiagnosis rates will be extracted as defined and reported by study authors and descriptively analyzed or meta-analyzed if appropriate. In the absence of reported data, we will undertake our own calculations for overdiagnosis at the analysis stage. We may dichotomize individuals as being hypertensive or not or assign them a risk of future event. If hypertension is analyzed as a dichotomous outcome (i.e., present or absent), overdiagnosis will be calculated as the excess number of cases in the screening group over the total number of individuals screened, the number of individuals diagnosed with hypertension in the screening group, and per 1000 individuals screened, respectively. We will assess clinical (e.g., patient characteristics) and methodological (e.g., study design) heterogeneity of the included studies. Statistical heterogeneity will be assessed using the I2 statistic and Cochran’s Q test (threshold p-value < 0.10). We will consider the following levels of heterogeneity: low (0–25%), moderate (25–50%), substantial (50–75%), and considerable (> 75%) [123127].
If pooling of the studies is appropriate following the heterogeneity assessments, we will pool the included studies using the DerSimonian and Laird random-effects method. We will pool data from randomized controlled trials and controlled clinical trials separately from observational studies. If considerable heterogeneity (> 75%) is detected [127], we may not pool the studies and will attempt to explain possible reasons for clinical heterogeneity through subgroup analyses and meta-regression.
Where possible, we will perform separate subgroup analyses according to the following:
  • Gender/sex
  • Type of intervention/screening method
  • Setting
  • Age
  • Socioeconomic status
  • Country/area of residence
  • Race/ethnicity
To assess the robustness of our results, we may perform sensitivity analyses. This may include restricting analyses to studies only at low risk of bias, restricting by different types of publications (e.g., removing preprints), or restricting by issues considered in the risk-of-bias assessments (e.g., only including outcomes measured with validated measurement tools). Other considerations may become apparent during the conduct of the reviews that may require examination through sensitivity analyses. These additional considerations are deemed exploratory and should not be construed as a priori with a definitive hypothesis.
We will follow guidance based on random-effects models for meta-regression analyses and when we have at least 10 studies for outcome/intervention comparisons [91]. For assessing small-study effects (e.g., publication bias), we will use funnel plots and statistical tests (e.g., Egger regression test, Hedges-Olkin method, trim-and-fill method) [125, 128, 129].
For low event rates (less than 1%), we will use the Peto one-step odds ratio fixed-effect method [127]. The Mantel–Haenszel fixed-effect method will be used when group imbalances exist (e.g., control groups of unequal sizes), a large magnitude of the effect is observed, or when events are more frequent (5 to 10%) [130].
If any data or additional information is missing for our analyses, we will contact the corresponding authors of the study thrice by email over 1 month.

KQ3

For the overview of reviews (KQ3), we will present the characteristics and statistical outcomes reported in original reviews in tables, as well as a narrative summary of results. Review data may be converted to ensure consistent presentation and synthesis of the results, and, as needed, we will follow GRADE guidance to calculate relative and absolute risk differences from data reported in the reviews [119, 120]. We will present information from reviews that have undertaken subgroup/meta-regression analyses for the subgroup analyses factors described above. We will also note reviews with a focus on one of these factors in their scope (e.g., reviews blood pressure treatment initiation in adults over 50 years of age).
As an exploration of heterogeneity between overlapping systematic reviews, we will examine reasons for potential discordance using the algorithm Jadad et al. [131]. When the same primary studies are included in overlapping discordant reviews, we will examine the methodologic quality of the reviews, followed by issues in data extraction, heterogeneity testing, and methods of data synthesis in the reviews. When included primary studies differ among reviews that overlap in scope, we will investigate differences in eligibility criteria. Among reviews with the same selection criteria, this includes discordance that may be attributable in search strategies or application of selection criteria. When reviews differ in their eligibility criteria, we will explore differences in review publication status, methodologic quality of primary studies, language of review publication, and availability of patient-level data.

Grading the certainty of evidence and interpretation

For the outcomes of interest, we will grade the certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach [132, 133]. The GRADE framework involves rating (or grading) each of the following five domains for each outcome: study limitations (risk of bias), inconsistency or data heterogeneity, indirectness of evidence, imprecision of effect size estimates, and risk of publication (small study) bias. We will grade the five domains and then determine the overall certainty of the evidence for each outcome as either “very low,” “low,” “moderate,” or “high.” Trials (beginning at “high” certainty) and observational studies (beginning at “low” certainty) will be assessed separately.

KQ1

For KQ1, the working group will rely on the adapted approach by the USPSTF’s Evidence-Based Practice Center, which was based on the GRADE working group’s approach [89, 134]. This approach addresses four of the five GRADE framework domains: study limitations (risk of bias), inconsistency or data heterogeneity, imprecision of effect size estimates, and risk of publication (small study) bias. The USPSTF graded the overall strength of evidence as “high,” “moderate,” “low,” or “insufficient,” and their approach is further detailed in Additional file 9. For the working group to complete their evidence-to-decision (EtD) tables, we will address the omitted domain of indirectness of the evidence using our approach described above and revise the USPSTF overall GRADE ratings if necessary. Any modifications to the USPSTF grading will be reported in the final manuscript.

KQ2

For KQ2 (different BP measurement methods for prognosis), we will follow GRADE guidance on the assessment of evidence about prognostic factors [135]. As the best evidence for these this type of question is usually observational, these will begin at “high” certainty of evidence [135].

KQ4

For KQ4 (patient acceptability of screening), we will follow the GRADE guidance on grading the certainty of evidence on patient values and preferences [136, 137].

KQ3

For KQ3 (overview of reviews), we will provide GRADE assessments for the overall certainty of evidence for each outcome. For any systematic reviews included from the 2019 NICE review, we will rely on their GRADE assessments. Their modified approach is detailed in Additional file 8. For newly included systematic reviews, if the review authors have used GRADE methods, we will rely on their assessments for the overall quality of evidence, as well as ratings for each of the GRADE domains (i.e., risk of bias, imprecision, indirectness, inconsistency, publication bias). Primary studies will not be consulted to verify the GRADE ratings conducted in systematic reviews. If newly included reviews did not use GRADE methodology, GRADE assessments will be completed using information available from the review (e.g., risk-of-bias assessments). We may be limited by reporting issues in the systematic reviews, but we will provide our best interpretation and note any limitations we encounter in conducting the assessments using review data.
Before conducting the grading, reviewers will pilot GRADE assessments on a sample of five outcomes using GRADEpro GDT online software until reviewer agreement is high (i.e., at least four out of five domain ratings match). A senior team member will be consulted for any conflicts. The GRADE ratings will be performed independently and in duplicate by reviewers. A senior team member will be consulted for any disagreements.
For each critical and important outcome, we will create separate GRADE summary of findings tables with explanations for rating up or down for each domain [119, 120]. GRADE narrative statements will be used to communicate the findings and certainty of the evidence [120, 138, 139]. If a meta-analysis is not appropriate due to considerable heterogeneity, we will follow GRADE guidance on rating the certainty of evidence when there is no single estimate of effect [140]. Unless the outcome has a known minimally important difference around which to base our conclusions and certainty, we will initially apply a minimally contextualized approach, whereby we will rate certainty in the direction of effect (i.e., relative to the null effect) rather than a particular magnitude of effect. The minimally important difference will be discussed throughout the systematic review process and decided upon prior to the synthesis stage based on input from the working group, as informed by various potential sources (e.g., information from values/preferences studies). Upon examining the findings, the task force may decide to adopt a minimally contextualized approach using a threshold for small but important effect OR a partially contextualized approach using a range of magnitudes. In such case, we will revise ratings accordingly [141, 142]. Depending on the approach, we will rate our certainty on whether the true effect either lies on one side of the null threshold (i.e., that a non-null effect is present), on one side of a minimally important threshold (i.e., that there is an important versus trivial effect), or within ranges of specific magnitudes (i.e., no, or trivial, small, moderate, or large effect [141].
Grading of the certainty of evidence will be used in the subsequent GRADE EtD tables prepared by the working group and Science Team [143, 144]. In addition, EtD development will consider additional information beyond these planned systematic reviews (e.g., cost, feasibility) to assist the working group in developing updated clinical practice recommendations. Details on the Task Force guideline development process is available in their Methods Manual (note: currently under revision) [91].

Reporting

The de novo systematic reviews will be reported using PRISMA (KQ2 and KQ4) [108], and overview of reviews (KQ3) will be reported using the Preferred Reporting Items for Overviews of systematic reviews including harms pilot checklist (PRIO-harms) [145].

Discussion

Hypertension is a leading risk factor for cardiovascular morbidity and death in Canada and worldwide, affecting over 20% of Canadian adults. Hypertension screening can provide a benefit when previously untreated hypertension is diagnosed and brought under control, but the potential for harm must be considered. There is a need for updated recommendations on optimal screening methods, screening frequency, target population, and patient values and preferences. Since the release of the 2012 Task Force guideline on screening for hypertension in adults [86], the previous key questions require updating, and additional key questions have been developed. Findings from the planned systematic reviews will inform the Task Force on the update of their recommendations for hypertension screening in adults.

Acknowledgements

We would like to thank members of the Science Team who were involved with the working group scoping and refinement (Elizabeth Rolland-Harris, Kate Morissette, Shamila Shanmugasegaram, Alejandra Jaramillo Garcia, Nicki Sims-Jones, Rachel Rodin), the US Preventive Services Task Force (Alex H. Krist, Karina W. Davidson, Carol M. Mangione, Michael Cabana, Aaron B. Caughey, Esa M. Davis, Katrina E. Donahue, Chyke A. Doubeni, Martha Kubik, Li Li, Gbenga Ogedegbe, Lori Pbert, Michael Silverstein, James Stevermer, Chien-Wen Tseng, John B. Wong), and the Kaiser Permanente Research Affiliates Evidence-Based Practice Center authors (Janelle M. Guirguis-Blake, Corinne V. Evans, Elizabeth M. Webber, Erin L. Coppola, Leslie A. Perdue, and Meghan Soulsby Weyrich) of the systematic review work that we will rely on for KQ1 of this project. We would like to thank the members of the National Guideline Centre and the National Institute for Health and Care Excellence for the review work that we will rely on for KQ3 of the project. We would also like to thank other members of the Canadian Task Force on Preventive Health Care who are not part of the working group for their review and editing: Scott Klarenbach, Ahmed Abou-Setta, Donna L. Reynolds, Eddy Lang, Henry Yu-Hin Siu, Keith Todd, Nathalie Slavtcheva, and Patricia Li. We thank Kaitryn Campbell, MLIS, MSc (St. Joseph’s Healthcare Hamilton/McMaster University) for peer review of the MEDLINE search strategies.

Declarations

Not applicable.
Written informed consent to publish was obtained from the stakeholders who provided feedback on the protocol. A copy of the written consent is available for review by the editors in chief of this journal. The stakeholder feedback has been anonymized and included as Additional file 9.

Competing interests

David Moher was previously co-editor in chief with Systematic Reviews. Christopher E. Clark has received honoraria from Bayer and ReCor Medical; he is a member of the UK National Institute for Health and Care Excellence Hypertension and Cardiovascular Disease prevention guideline committees. The other authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Piper MA, Evans CV, Burda BU, Margolis KL, O’Connor E, Smith N, et al. Screening for high blood pressure in adults: a systematic evidence review for the US Preventive Services Task Force. 2015. Piper MA, Evans CV, Burda BU, Margolis KL, O’Connor E, Smith N, et al. Screening for high blood pressure in adults: a systematic evidence review for the US Preventive Services Task Force. 2015.
3.
Zurück zum Zitat Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, et al. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet. 2014;383(9932):1899–911.PubMedPubMedCentralCrossRef Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, et al. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet. 2014;383(9932):1899–911.PubMedPubMedCentralCrossRef
4.
Zurück zum Zitat Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. The Lancet. 2002;360(9349):1903–13.CrossRef Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. The Lancet. 2002;360(9349):1903–13.CrossRef
5.
Zurück zum Zitat Rabi DM, McBrien KA, Sapir-Pichhadze R, Nakhla M, Ahmed SB, Dumanski SM, et al. Hypertension Canada’s 2020 comprehensive guidelines for the prevention, diagnosis, risk assessment, and treatment of hypertension in adults and children. Can J Cardiol. 2020;36(5):596–624.PubMedCrossRef Rabi DM, McBrien KA, Sapir-Pichhadze R, Nakhla M, Ahmed SB, Dumanski SM, et al. Hypertension Canada’s 2020 comprehensive guidelines for the prevention, diagnosis, risk assessment, and treatment of hypertension in adults and children. Can J Cardiol. 2020;36(5):596–624.PubMedCrossRef
7.
Zurück zum Zitat Williams B, Mancia G, Rosei EA, Azizi M, Burnier M, Clement DL, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021–104.PubMedCrossRef Williams B, Mancia G, Rosei EA, Azizi M, Burnier M, Clement DL, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. 2018;39:3021–104.PubMedCrossRef
9.
Zurück zum Zitat Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71(6):e13-115.PubMed Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71(6):e13-115.PubMed
10.
Zurück zum Zitat Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 2020;396(10258):1223–49.CrossRef Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 2020;396(10258):1223–49.CrossRef
11.
Zurück zum Zitat Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441–50.PubMedPubMedCentralCrossRef Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441–50.PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Finley CR, Chan DS, Garrison S, Korownyk C, Kolber MR, Campbell S, et al. What are the most common conditions in primary care? Can Fam Physician. 2018;64:832.PubMedPubMedCentral Finley CR, Chan DS, Garrison S, Korownyk C, Kolber MR, Campbell S, et al. What are the most common conditions in primary care? Can Fam Physician. 2018;64:832.PubMedPubMedCentral
14.
Zurück zum Zitat McAlister FA, Wilkins K, Joffres M, Leenen FHH, Fodor G, Gee M, et al. Changes in the rates of awareness, treatment and control of hypertension in Canada over the past two decades. CMAJ. 2011;183(9):1007–13.PubMedPubMedCentralCrossRef McAlister FA, Wilkins K, Joffres M, Leenen FHH, Fodor G, Gee M, et al. Changes in the rates of awareness, treatment and control of hypertension in Canada over the past two decades. CMAJ. 2011;183(9):1007–13.PubMedPubMedCentralCrossRef
15.
Zurück zum Zitat Gelfer M, Bell A, Petrella R, Campbell NRC, Cloutier L, Lindsay P, et al. Take urgent action diagnosing, treating, and controlling hypertension in older women. Can Fam Physician. 2020;66(10):726–31.PubMedPubMedCentral Gelfer M, Bell A, Petrella R, Campbell NRC, Cloutier L, Lindsay P, et al. Take urgent action diagnosing, treating, and controlling hypertension in older women. Can Fam Physician. 2020;66(10):726–31.PubMedPubMedCentral
16.
Zurück zum Zitat Leung AA, Williams JVA, McAlister FA, Campbell NRC, Padwal RS. Worsening hypertension awareness, treatment, and control rates in Canadian women between 2007 and 2017. Can J Cardiol. 2020;36(5):732–9.PubMedCrossRef Leung AA, Williams JVA, McAlister FA, Campbell NRC, Padwal RS. Worsening hypertension awareness, treatment, and control rates in Canadian women between 2007 and 2017. Can J Cardiol. 2020;36(5):732–9.PubMedCrossRef
17.
Zurück zum Zitat Chamberlain AM, Cooper-DeHoff RM, Fontil V, Nilles EK, Shaw KM, Smith M, et al. Disruption in blood pressure control with the COVID-19 pandemic: the PCORnet Blood Pressure Control Laboratory. Mayo Clin Proc. 2023;98(5):662–75.PubMedCrossRef Chamberlain AM, Cooper-DeHoff RM, Fontil V, Nilles EK, Shaw KM, Smith M, et al. Disruption in blood pressure control with the COVID-19 pandemic: the PCORnet Blood Pressure Control Laboratory. Mayo Clin Proc. 2023;98(5):662–75.PubMedCrossRef
18.
Zurück zum Zitat Dale CE, Takhar R, Carragher R, Katsoulis M, Torabi F, Duffield S, et al. The impact of the COVID-19 pandemic on cardiovascular disease prevention and management. Nat Med. 2023;29(1):219–25.PubMedCrossRef Dale CE, Takhar R, Carragher R, Katsoulis M, Torabi F, Duffield S, et al. The impact of the COVID-19 pandemic on cardiovascular disease prevention and management. Nat Med. 2023;29(1):219–25.PubMedCrossRef
19.
Zurück zum Zitat Padwal RS, Bienek A, McAlister FA, Campbell NR, Outcomes research task force of the Canadian Hypertension Education P. Epidemiology of hypertension in Canada: an update. Can J Cardiol. 2016;32(5):687–94.PubMedCrossRef Padwal RS, Bienek A, McAlister FA, Campbell NR, Outcomes research task force of the Canadian Hypertension Education P. Epidemiology of hypertension in Canada: an update. Can J Cardiol. 2016;32(5):687–94.PubMedCrossRef
20.
Zurück zum Zitat Campbell NR, Feldman RD. Hypertension in Canada and the global context. The wine is vintage and the glass is two-thirds full, but is the bottle empty? Can J Cardiol. 2016;32(5):609–11.PubMedCrossRef Campbell NR, Feldman RD. Hypertension in Canada and the global context. The wine is vintage and the glass is two-thirds full, but is the bottle empty? Can J Cardiol. 2016;32(5):609–11.PubMedCrossRef
22.
Zurück zum Zitat Oparil S, Acelajado MC, Bakris GL, Berlowitz DR, Cifkova R, Dominiczak AF, et al. Hypertension. Nat Rev Primer. 2018;22(4):18014.CrossRef Oparil S, Acelajado MC, Bakris GL, Berlowitz DR, Cifkova R, Dominiczak AF, et al. Hypertension. Nat Rev Primer. 2018;22(4):18014.CrossRef
23.
Zurück zum Zitat Charles L, Triscott J, Dobbs B. Secondary hypertension: discovering the underlying cause. Am Fam Physician. 2017;96(7):453–61.PubMed Charles L, Triscott J, Dobbs B. Secondary hypertension: discovering the underlying cause. Am Fam Physician. 2017;96(7):453–61.PubMed
24.
25.
Zurück zum Zitat Parikh NI, Pencina MJ, Wang TJ, Benjamin EJ, Lanier KJ, Levy D, et al. A risk score for predicting near-term incidence of hypertension: the Framingham Heart Study. Ann Intern Med. 2008;148:102–10.PubMedCrossRef Parikh NI, Pencina MJ, Wang TJ, Benjamin EJ, Lanier KJ, Levy D, et al. A risk score for predicting near-term incidence of hypertension: the Framingham Heart Study. Ann Intern Med. 2008;148:102–10.PubMedCrossRef
26.
Zurück zum Zitat Vasan RS, Larson MG, Leip EP, Kannel WB, Levy D. Assessment of frequency of progression to hypertension in non-hypertensive participants in the Framingham Heart Study: a cohort study. The Lancet. 2001;358(9294):1682–6.CrossRef Vasan RS, Larson MG, Leip EP, Kannel WB, Levy D. Assessment of frequency of progression to hypertension in non-hypertensive participants in the Framingham Heart Study: a cohort study. The Lancet. 2001;358(9294):1682–6.CrossRef
27.
Zurück zum Zitat Lim NK, Son KH, Lee KS, Park HY, Cho MC. Predicting the risk of incident hypertension in a Korean middle-aged population: Korean genome and epidemiology study. J Clin Hypertens Greenwich. 2013;15(5):344–9.PubMedPubMedCentralCrossRef Lim NK, Son KH, Lee KS, Park HY, Cho MC. Predicting the risk of incident hypertension in a Korean middle-aged population: Korean genome and epidemiology study. J Clin Hypertens Greenwich. 2013;15(5):344–9.PubMedPubMedCentralCrossRef
28.
Zurück zum Zitat Mente A, O’Donnell M, Rangarajan S, McQueen M, Dagenais G, Wielgosz A, et al. Urinary sodium excretion, blood pressure, cardiovascular disease, and mortality: a community-level prospective epidemiological cohort study. Lancet. 2018;392(10146):496–506.PubMedCrossRef Mente A, O’Donnell M, Rangarajan S, McQueen M, Dagenais G, Wielgosz A, et al. Urinary sodium excretion, blood pressure, cardiovascular disease, and mortality: a community-level prospective epidemiological cohort study. Lancet. 2018;392(10146):496–506.PubMedCrossRef
29.
Zurück zum Zitat He FJ, Li J, Macgregor GA. Effect of longer term modest salt reduction on blood pressure: cochrane systematic review and meta-analysis of randomised trials. BMJ. 2013;346:f1325.PubMedCrossRef He FJ, Li J, Macgregor GA. Effect of longer term modest salt reduction on blood pressure: cochrane systematic review and meta-analysis of randomised trials. BMJ. 2013;346:f1325.PubMedCrossRef
30.
Zurück zum Zitat He J, Whelton PK. Commentary: Salt intake, hypertension and risk of cardiovascular disease: an important public health challenge. Int J Epidemiol. 2002;31:327–31.PubMedCrossRef He J, Whelton PK. Commentary: Salt intake, hypertension and risk of cardiovascular disease: an important public health challenge. Int J Epidemiol. 2002;31:327–31.PubMedCrossRef
31.
Zurück zum Zitat Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, et al. A clinical trial of the effects of dietary patterns on blood pressure. N Engl J Med. 1997;336(16):1117–24.PubMedCrossRef Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, et al. A clinical trial of the effects of dietary patterns on blood pressure. N Engl J Med. 1997;336(16):1117–24.PubMedCrossRef
32.
33.
Zurück zum Zitat Lee HA, Park H. Diet-related risk factors for incident hypertension during an 11-year follow-up: the Korean Genome Epidemiology Study. Nutrients. 2018;10(8):1077.PubMedPubMedCentralCrossRef Lee HA, Park H. Diet-related risk factors for incident hypertension during an 11-year follow-up: the Korean Genome Epidemiology Study. Nutrients. 2018;10(8):1077.PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat Nordmann AJ, Suter-Zimmermann K, Bucher HC, Shai I, Tuttle KR, Estruch R, et al. Meta-analysis comparing Mediterranean to low-fat diets for modification of cardiovascular risk factors. Am J Med. 2011;124(9):841–51.PubMedCrossRef Nordmann AJ, Suter-Zimmermann K, Bucher HC, Shai I, Tuttle KR, Estruch R, et al. Meta-analysis comparing Mediterranean to low-fat diets for modification of cardiovascular risk factors. Am J Med. 2011;124(9):841–51.PubMedCrossRef
35.
36.
Zurück zum Zitat Wen H, Wang L. Reducing effect of aerobic exercise on blood pressure of essential hypertensive patients: a meta-analysis. Med Baltim. 2017;96(11):e6150.CrossRef Wen H, Wang L. Reducing effect of aerobic exercise on blood pressure of essential hypertensive patients: a meta-analysis. Med Baltim. 2017;96(11):e6150.CrossRef
37.
Zurück zum Zitat Roerecke M, Kaczorowski J, Tobe SW, Gmel G, Hasan OSM, Rehm J. The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis. Lancet Public Health. 2017;2(2):e108–20.PubMedPubMedCentralCrossRef Roerecke M, Kaczorowski J, Tobe SW, Gmel G, Hasan OSM, Rehm J. The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis. Lancet Public Health. 2017;2(2):e108–20.PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Fuchs FD, Chambless LE, Whelton PK, Nieto FJ, Heiss G. Alcohol consumption and the incidence of hypertension. Hypertension. 2001;37(5):1242–50.PubMedCrossRef Fuchs FD, Chambless LE, Whelton PK, Nieto FJ, Heiss G. Alcohol consumption and the incidence of hypertension. Hypertension. 2001;37(5):1242–50.PubMedCrossRef
39.
Zurück zum Zitat Gao K, Shi X, Wang W. The life-course impact of smoking on hypertension, myocardial infarction and respiratory diseases. Sci Rep. 2017;7(1):4330.PubMedPubMedCentralCrossRef Gao K, Shi X, Wang W. The life-course impact of smoking on hypertension, myocardial infarction and respiratory diseases. Sci Rep. 2017;7(1):4330.PubMedPubMedCentralCrossRef
40.
Zurück zum Zitat Neter JE, Stam BE, Kok FJ, Grobbee DE, Geleijnse JM. Influence of weight reduction on blood pressure: a meta-analysis of randomized controlled trials. Hypertension. 2003;42(5):878–84.PubMedCrossRef Neter JE, Stam BE, Kok FJ, Grobbee DE, Geleijnse JM. Influence of weight reduction on blood pressure: a meta-analysis of randomized controlled trials. Hypertension. 2003;42(5):878–84.PubMedCrossRef
41.
Zurück zum Zitat Leenen FHH, McInnis NH, Fodor G. Obesity and the prevalence and management of hypertension in Ontario. Canada Am J Hypertens. 2010;23(9):1000–6.PubMedCrossRef Leenen FHH, McInnis NH, Fodor G. Obesity and the prevalence and management of hypertension in Ontario. Canada Am J Hypertens. 2010;23(9):1000–6.PubMedCrossRef
42.
Zurück zum Zitat Gasevic D, Ross ES, Lear SA. Ethnic differences in cardiovascular disease risk factors: a systematic review of North American evidence. Can J Cardiol. 2015;31(9):1169–79.PubMedCrossRef Gasevic D, Ross ES, Lear SA. Ethnic differences in cardiovascular disease risk factors: a systematic review of North American evidence. Can J Cardiol. 2015;31(9):1169–79.PubMedCrossRef
43.
Zurück zum Zitat Gagné T, Veenstra G. Inequalities in hypertension and diabetes in Canada: intersections between racial identity, gender, and income. Ethn Dis. 2017;27(4):371.PubMedPubMedCentralCrossRef Gagné T, Veenstra G. Inequalities in hypertension and diabetes in Canada: intersections between racial identity, gender, and income. Ethn Dis. 2017;27(4):371.PubMedPubMedCentralCrossRef
44.
Zurück zum Zitat Hozawa A, Ueshima H. Blood pressure differences by race: the importance of assessing lifestyle. Hypertens Res. 2009;32(12):1049–50.PubMedCrossRef Hozawa A, Ueshima H. Blood pressure differences by race: the importance of assessing lifestyle. Hypertens Res. 2009;32(12):1049–50.PubMedCrossRef
46.
Zurück zum Zitat Helmer A, Slater N, Smithgall S. A review of ACE inhibitors and ARBs in black patients with hypertension. Ann Pharmacother. 2018;52(11):1143–51.PubMedCrossRef Helmer A, Slater N, Smithgall S. A review of ACE inhibitors and ARBs in black patients with hypertension. Ann Pharmacother. 2018;52(11):1143–51.PubMedCrossRef
47.
Zurück zum Zitat Kurtz TW, DiCarlo SE, Pravenec M, Morris RC. No evidence of racial disparities in blood pressure salt sensitivity when potassium intake exceeds levels recommended in the US dietary guidelines. Am J Physiol-Heart Circ Physiol. 2021;320(5):H1903–18.PubMedPubMedCentralCrossRef Kurtz TW, DiCarlo SE, Pravenec M, Morris RC. No evidence of racial disparities in blood pressure salt sensitivity when potassium intake exceeds levels recommended in the US dietary guidelines. Am J Physiol-Heart Circ Physiol. 2021;320(5):H1903–18.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Haroun MK, Jaar BG, Hoffman S, Comstock GW, Klag MJ, Coresh J. Risk factors for chronic kidney disease: a prospective study of 23,534 men and women in Washington County. Maryland J Am Soc Nephrol. 2003;14(11):2934–41.PubMedCrossRef Haroun MK, Jaar BG, Hoffman S, Comstock GW, Klag MJ, Coresh J. Risk factors for chronic kidney disease: a prospective study of 23,534 men and women in Washington County. Maryland J Am Soc Nephrol. 2003;14(11):2934–41.PubMedCrossRef
49.
Zurück zum Zitat Ridao N, Luño J, de Vinuesa SG, Gómez F, Tejedor A, Valderrábano F. Prevalence of hypertension in renal disease. Nephrol Dial Transplant. 2001;16(suppl_1):70–3.PubMedCrossRef Ridao N, Luño J, de Vinuesa SG, Gómez F, Tejedor A, Valderrábano F. Prevalence of hypertension in renal disease. Nephrol Dial Transplant. 2001;16(suppl_1):70–3.PubMedCrossRef
50.
51.
Zurück zum Zitat Skoog I, Nilsson L, Persson G, Lernfelt B, Landahl S, Palmertz B, et al. 15-year longitudinal study of blood pressure and dementia. Lancet. 1996;347(9009):1141–5.PubMedCrossRef Skoog I, Nilsson L, Persson G, Lernfelt B, Landahl S, Palmertz B, et al. 15-year longitudinal study of blood pressure and dementia. Lancet. 1996;347(9009):1141–5.PubMedCrossRef
52.
Zurück zum Zitat Bhargava M, Ikram MK, Wong TY. How does hypertension affect your eyes? J Hum Hypertens. 2012;26(2):71–83.PubMedCrossRef Bhargava M, Ikram MK, Wong TY. How does hypertension affect your eyes? J Hum Hypertens. 2012;26(2):71–83.PubMedCrossRef
53.
Zurück zum Zitat Miller JB, Suchdev K, Jayaprakash N, Hrabec D, Sood A, Sharma S, et al. New developments in hypertensive encephalopathy. Curr Hypertens Rep. 2018;20(2):13.PubMedCrossRef Miller JB, Suchdev K, Jayaprakash N, Hrabec D, Sood A, Sharma S, et al. New developments in hypertensive encephalopathy. Curr Hypertens Rep. 2018;20(2):13.PubMedCrossRef
54.
Zurück zum Zitat Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, et al. Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990–2015. JAMA. 2017;317(2):165–82.PubMedCrossRef Forouzanfar MH, Liu P, Roth GA, Ng M, Biryukov S, Marczak L, et al. Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990–2015. JAMA. 2017;317(2):165–82.PubMedCrossRef
56.
Zurück zum Zitat Lawes CMM, Vander Hoorn S, Rodgers A, International Society of Hypertension. Global burden of blood-pressure-related disease, 2001. Lancet. 2008;371(9623):1513–8.PubMedCrossRef Lawes CMM, Vander Hoorn S, Rodgers A, International Society of Hypertension. Global burden of blood-pressure-related disease, 2001. Lancet. 2008;371(9623):1513–8.PubMedCrossRef
59.
Zurück zum Zitat Bakris G, Hill M, Mancia G, Steyn K, Black HR, Pickering T, et al. Achieving blood pressure goals globally: five core actions for health-care professionals. A worldwide call to action. J Hum Hypertens. 2008;22(1):63–70.PubMedCrossRef Bakris G, Hill M, Mancia G, Steyn K, Black HR, Pickering T, et al. Achieving blood pressure goals globally: five core actions for health-care professionals. A worldwide call to action. J Hum Hypertens. 2008;22(1):63–70.PubMedCrossRef
60.
Zurück zum Zitat Campbell NR, Leiter LA, Larochelle P, Tobe S, Chockalingam A, Ward R, et al. Hypertension in diabetes: a call to action. Can J Cardiol. 2009;25(5):299–302.PubMedPubMedCentralCrossRef Campbell NR, Leiter LA, Larochelle P, Tobe S, Chockalingam A, Ward R, et al. Hypertension in diabetes: a call to action. Can J Cardiol. 2009;25(5):299–302.PubMedPubMedCentralCrossRef
61.
Zurück zum Zitat Luo D, Cheng Y, Zhang H, Ba M, Chen P, Li H, et al. Association between high blood pressure and long term cardiovascular events in young adults: systematic review and meta-analysis. BMJ. 2020;9:m3222.CrossRef Luo D, Cheng Y, Zhang H, Ba M, Chen P, Li H, et al. Association between high blood pressure and long term cardiovascular events in young adults: systematic review and meta-analysis. BMJ. 2020;9:m3222.CrossRef
62.
Zurück zum Zitat Sawicka K, Szczyrek M, Jastrzębska I, Prasał M, Zwolak A, Daniluk J. Hypertension – the silent killer. J Pre Clin Clin Res. 2011;5(2):4. Sawicka K, Szczyrek M, Jastrzębska I, Prasał M, Zwolak A, Daniluk J. Hypertension – the silent killer. J Pre Clin Clin Res. 2011;5(2):4.
63.
Zurück zum Zitat Kaczorowski J, Myers MG, Gelfer M, Dawes M, Mang EJ, Berg A, Grande CD, Kljujic D. How do family physicians measure blood pressure in routine clinical practice? National survey of Canadian family physicians. Can Fam Physician. 2017;63(3):e193–9.PubMedPubMedCentral Kaczorowski J, Myers MG, Gelfer M, Dawes M, Mang EJ, Berg A, Grande CD, Kljujic D. How do family physicians measure blood pressure in routine clinical practice? National survey of Canadian family physicians. Can Fam Physician. 2017;63(3):e193–9.PubMedPubMedCentral
64.
Zurück zum Zitat George S, Anastasios K, Gianfranco P, Eoin O. Office blood pressure measurement. Hypertension. 2018;71(5):813–5.CrossRef George S, Anastasios K, Gianfranco P, Eoin O. Office blood pressure measurement. Hypertension. 2018;71(5):813–5.CrossRef
65.
Zurück zum Zitat Kallioinen N, Hill A, Horswill MS, Ward HE, Watson MO. Sources of inaccuracy in the measurement of adult patients’ resting blood pressure in clinical settings: a systematic review. J Hypertens. 2017;35(3):421–41.PubMedCrossRef Kallioinen N, Hill A, Horswill MS, Ward HE, Watson MO. Sources of inaccuracy in the measurement of adult patients’ resting blood pressure in clinical settings: a systematic review. J Hypertens. 2017;35(3):421–41.PubMedCrossRef
66.
Zurück zum Zitat Hwang KO, Aigbe A, Ju HH, Jackson VC, Sedlock EW. Barriers to accurate blood pressure measurement in the medical office. J Prim Care Community Health. 2018;9:215013271881692.CrossRef Hwang KO, Aigbe A, Ju HH, Jackson VC, Sedlock EW. Barriers to accurate blood pressure measurement in the medical office. J Prim Care Community Health. 2018;9:215013271881692.CrossRef
67.
Zurück zum Zitat Thavarajah S, White WB, Mansoor GA. Terminal digit bias in a specialty hypertension faculty practice. J Hum Hypertens. 2003;17(12):819–22.PubMedCrossRef Thavarajah S, White WB, Mansoor GA. Terminal digit bias in a specialty hypertension faculty practice. J Hum Hypertens. 2003;17(12):819–22.PubMedCrossRef
68.
Zurück zum Zitat Roerecke M, Kaczorowski J, Myers MG. Comparing automated office blood pressure readings with other methods of blood pressure measurement for identifying patients with possible hypertension: a systematic review and meta-analysis. JAMA Intern Med. 2019;179(3):351.PubMedPubMedCentralCrossRef Roerecke M, Kaczorowski J, Myers MG. Comparing automated office blood pressure readings with other methods of blood pressure measurement for identifying patients with possible hypertension: a systematic review and meta-analysis. JAMA Intern Med. 2019;179(3):351.PubMedPubMedCentralCrossRef
69.
Zurück zum Zitat Dolan E, Stanton A, Thijs L, Hinedi K, Atkins N, McClory S, et al. Superiority of ambulatory over clinic blood pressure measurement in predicting mortality. Hypertension. 2005;46(1):156–61.PubMedCrossRef Dolan E, Stanton A, Thijs L, Hinedi K, Atkins N, McClory S, et al. Superiority of ambulatory over clinic blood pressure measurement in predicting mortality. Hypertension. 2005;46(1):156–61.PubMedCrossRef
70.
Zurück zum Zitat Ohkubo T, Imai Y, Tsuji I, Nagai K, Watanabe N, Minami N, et al. Prediction of mortality by ambulatory blood pressure monitoring versus screening blood pressure measurements: a pilot study in Ohasama. J Hypertens. 1997;15(4):357–64.PubMedCrossRef Ohkubo T, Imai Y, Tsuji I, Nagai K, Watanabe N, Minami N, et al. Prediction of mortality by ambulatory blood pressure monitoring versus screening blood pressure measurements: a pilot study in Ohasama. J Hypertens. 1997;15(4):357–64.PubMedCrossRef
71.
Zurück zum Zitat Clement DL, De Buyzere ML, De Bacquer DA, De Leeuw PW, Duprez DA, Fagard RH, et al. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003;348(24):2407–15.PubMedCrossRef Clement DL, De Buyzere ML, De Bacquer DA, De Leeuw PW, Duprez DA, Fagard RH, et al. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003;348(24):2407–15.PubMedCrossRef
72.
Zurück zum Zitat Chiolero A, Anker D. Screening interval: a public health blind spot. The Lancet Public Health. 2019;4(4):e171–2.PubMedCrossRef Chiolero A, Anker D. Screening interval: a public health blind spot. The Lancet Public Health. 2019;4(4):e171–2.PubMedCrossRef
74.
Zurück zum Zitat Takahashi O, Glasziou PP, Perera R, Shimbo T, Fukui T. Blood pressure re-screening for healthy adults: what is the best measure and interval? J Hum Hypertens. 2012;26(9):540–6.PubMedCrossRef Takahashi O, Glasziou PP, Perera R, Shimbo T, Fukui T. Blood pressure re-screening for healthy adults: what is the best measure and interval? J Hum Hypertens. 2012;26(9):540–6.PubMedCrossRef
75.
Zurück zum Zitat Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009;19(338):b1665–b1665.CrossRef Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009;19(338):b1665–b1665.CrossRef
78.
Zurück zum Zitat Turnbull F, Neal B, Algert C, Chalmers J, Chapman N, Cutler J, et al. Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials. The Lancet. 2003;362(9395):1527–35.CrossRef Turnbull F, Neal B, Algert C, Chalmers J, Chapman N, Cutler J, et al. Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials. The Lancet. 2003;362(9395):1527–35.CrossRef
79.
Zurück zum Zitat Sacks FM, Bray GA, Iii ERM. Effects on blood pressure of reduced dietary sodium and the dietary approaches to stop hypertension (DASH) diet. N Engl J Med. 2001;344(1):3–10.PubMedCrossRef Sacks FM, Bray GA, Iii ERM. Effects on blood pressure of reduced dietary sodium and the dietary approaches to stop hypertension (DASH) diet. N Engl J Med. 2001;344(1):3–10.PubMedCrossRef
80.
Zurück zum Zitat Lin JS, O’Connor E, Whitlock EP, Beil TL. Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2010;153(11):736.PubMedCrossRef Lin JS, O’Connor E, Whitlock EP, Beil TL. Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2010;153(11):736.PubMedCrossRef
81.
82.
Zurück zum Zitat Ioannidis JPA. Diagnosis and treatment of hypertension in the 2017 ACC/AHA guidelines and in the real world. JAMA. 2017;319(2):115–6.CrossRef Ioannidis JPA. Diagnosis and treatment of hypertension in the 2017 ACC/AHA guidelines and in the real world. JAMA. 2017;319(2):115–6.CrossRef
83.
Zurück zum Zitat Lefebvre RC, Hursey KG, Carleton RA. Labeling of participants in high blood pressure screening programs: implications for blood cholesterol screenings. Arch Intern Med. 1988;148(9):1993–7.PubMedCrossRef Lefebvre RC, Hursey KG, Carleton RA. Labeling of participants in high blood pressure screening programs: implications for blood cholesterol screenings. Arch Intern Med. 1988;148(9):1993–7.PubMedCrossRef
84.
Zurück zum Zitat Haase CB, Gyuricza JV, Brodersen J. New hypertension guidance risks overdiagnosis and overtreatment. BMJ. 2019;12:l1657.CrossRef Haase CB, Gyuricza JV, Brodersen J. New hypertension guidance risks overdiagnosis and overtreatment. BMJ. 2019;12:l1657.CrossRef
85.
Zurück zum Zitat Daskalopoulou SS, Khan NA, Quinn RR, Ruzicka M, McKay DW, Hackam DG, et al. The 2012 Canadian Hypertension Education Program recommendations for the management of hypertension: blood pressure measurement, diagnosis, assessment of risk, and therapy. Can J Cardiol. 2012;28(3):270–87.PubMedCrossRef Daskalopoulou SS, Khan NA, Quinn RR, Ruzicka M, McKay DW, Hackam DG, et al. The 2012 Canadian Hypertension Education Program recommendations for the management of hypertension: blood pressure measurement, diagnosis, assessment of risk, and therapy. Can J Cardiol. 2012;28(3):270–87.PubMedCrossRef
86.
Zurück zum Zitat Lindsay P, Connor Gorber S, Joffres M, Birtwhistle R, McKay D, Cloutier L. Recommendations on screening for high blood pressure in Canadian adults. Can Fam Physician. 2013;59(9):927–33.PubMedPubMedCentral Lindsay P, Connor Gorber S, Joffres M, Birtwhistle R, McKay D, Cloutier L. Recommendations on screening for high blood pressure in Canadian adults. Can Fam Physician. 2013;59(9):927–33.PubMedPubMedCentral
88.
Zurück zum Zitat Siu AL, U.S. Preventive Services Task Force. Screening for high blood pressure in adults: U.S. preventive services task force recommendation statement. Ann Intern Med. 2015;163(10):778–86.PubMedCrossRef Siu AL, U.S. Preventive Services Task Force. Screening for high blood pressure in adults: U.S. preventive services task force recommendation statement. Ann Intern Med. 2015;163(10):778–86.PubMedCrossRef
90.
Zurück zum Zitat US Preventive Services Task Force. Screening for hypertension in adults: US Preventive Services Task Force reaffirmation recommendation statement. JAMA. 2021;325(16):1650.CrossRef US Preventive Services Task Force. Screening for hypertension in adults: US Preventive Services Task Force reaffirmation recommendation statement. JAMA. 2021;325(16):1650.CrossRef
92.
Zurück zum Zitat Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021). 2021. Available from: Cochrane 2021. www.training.cochrane.org/handbook. Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021). 2021. Available from: Cochrane 2021. www.​training.​cochrane.​org/​handbook.
94.
Zurück zum Zitat Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;349:g7647.CrossRef Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;349:g7647.CrossRef
95.
Zurück zum Zitat Brunström M, Carlberg B. Association of blood pressure lowering with mortality and cardiovascular disease across blood pressure levels: a systematic review and meta-analysis. JAMA Intern Med. 2018;178(1):28.PubMedCrossRef Brunström M, Carlberg B. Association of blood pressure lowering with mortality and cardiovascular disease across blood pressure levels: a systematic review and meta-analysis. JAMA Intern Med. 2018;178(1):28.PubMedCrossRef
97.
Zurück zum Zitat Pollock A, Campbell P, Brunton G, Hunt H, Estcourt L. Selecting and implementing overview methods: implications from five exemplar overviews. Syst Rev. 2017;6(1):145.PubMedPubMedCentralCrossRef Pollock A, Campbell P, Brunton G, Hunt H, Estcourt L. Selecting and implementing overview methods: implications from five exemplar overviews. Syst Rev. 2017;6(1):145.PubMedPubMedCentralCrossRef
98.
Zurück zum Zitat Gates M, Gates A, Guitard S, Pollock M, Hartling L. Guidance for overviews of reviews continues to accumulate, but important challenges remain: a scoping review. Syst Rev. 2020;9(1):254.PubMedPubMedCentralCrossRef Gates M, Gates A, Guitard S, Pollock M, Hartling L. Guidance for overviews of reviews continues to accumulate, but important challenges remain: a scoping review. Syst Rev. 2020;9(1):254.PubMedPubMedCentralCrossRef
99.
Zurück zum Zitat McKenzie JE, Brennan SE. Overviews of systematic reviews: great promise, greater challenge. Syst Rev. 2017;6(1):185, s13643-017-0582–8.CrossRef McKenzie JE, Brennan SE. Overviews of systematic reviews: great promise, greater challenge. Syst Rev. 2017;6(1):185, s13643-017-0582–8.CrossRef
101.
Zurück zum Zitat Guyatt GH, Oxman AD, Kunz R, Atkins D, Brozek J, Vist G, et al. GRADE guidelines: 2. Framing the question and deciding on important outcomes. J Clin Epidemiol. 2011;64(4):395–400.PubMedCrossRef Guyatt GH, Oxman AD, Kunz R, Atkins D, Brozek J, Vist G, et al. GRADE guidelines: 2. Framing the question and deciding on important outcomes. J Clin Epidemiol. 2011;64(4):395–400.PubMedCrossRef
102.
Zurück zum Zitat McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016;75:40–6.PubMedCrossRef McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016;75:40–6.PubMedCrossRef
105.
Zurück zum Zitat The EndNote Team. EndNote. Philadelphia: Clarivate Analytics; 2020. The EndNote Team. EndNote. Philadelphia: Clarivate Analytics; 2020.
107.
108.
Zurück zum Zitat Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2020;2021:372. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2020;2021:372.
109.
Zurück zum Zitat Pieper D, Antoine SL, Mathes T, Neugebauer EAM, Eikermann M. Systematic review finds overlapping reviews were not mentioned in every other overview. J Clin Epidemiol. 2014;67(4):368–75.PubMedCrossRef Pieper D, Antoine SL, Mathes T, Neugebauer EAM, Eikermann M. Systematic review finds overlapping reviews were not mentioned in every other overview. J Clin Epidemiol. 2014;67(4):368–75.PubMedCrossRef
110.
Zurück zum Zitat Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;28(366):l4898.CrossRef Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;28(366):l4898.CrossRef
111.
Zurück zum Zitat Higgins JPT, Altman DG, Sterne JA. Chapter 8: Assessing risk of bias in included studies. In: Cochrane handbook for systematic reviews of interventions. Version 5.1.0. The Cochrane Collaboration; 2011. Available from: www.handbook.cochrane.org. Higgins JPT, Altman DG, Sterne JA. Chapter 8: Assessing risk of bias in included studies. In: Cochrane handbook for systematic reviews of interventions. Version 5.1.0. The Cochrane Collaboration; 2011. Available from: www.​handbook.​cochrane.​org.
113.
Zurück zum Zitat Balshem H, Stevens A, Ansari M, Norris S, Kansagara D, Shamliyan T, et al. Finding grey literature evidence and assessing for outcome and analysis reporting biases when comparing medical interventions: AHRQ and the Effective Health Care Program. In: Methods guide for effectiveness and comparative effectiveness reviews. Rockville: Agency for Healthcare Research and Quality (US); 2013. Available from: http://www.ncbi.nlm.nih.gov/books/NBK174882/. AHRQ Methods for Effective Health Care. Cited 2018 Jun 20. Balshem H, Stevens A, Ansari M, Norris S, Kansagara D, Shamliyan T, et al. Finding grey literature evidence and assessing for outcome and analysis reporting biases when comparing medical interventions: AHRQ and the Effective Health Care Program. In: Methods guide for effectiveness and comparative effectiveness reviews. Rockville: Agency for Healthcare Research and Quality (US); 2013. Available from: http://​www.​ncbi.​nlm.​nih.​gov/​books/​NBK174882/​. AHRQ Methods for Effective Health Care. Cited 2018 Jun 20.
114.
Zurück zum Zitat Higgins J, Green S. Chapter 16: Special topics in statistics. In: The cochrane collaboration cochrane handbook for systematic reviews of interventions. 2011. Higgins J, Green S. Chapter 16: Special topics in statistics. In: The cochrane collaboration cochrane handbook for systematic reviews of interventions. 2011.
116.
Zurück zum Zitat Hayden JA, van der Windt DA, Cartwright JL, Côté P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280–6.PubMedCrossRef Hayden JA, van der Windt DA, Cartwright JL, Côté P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280–6.PubMedCrossRef
117.
Zurück zum Zitat Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;21(358):j4008.CrossRef Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;21(358):j4008.CrossRef
119.
Zurück zum Zitat Guyatt GH, Oxman AD, Santesso N, Helfand M, Vist G, Kunz R, et al. GRADE guidelines: 12. Preparing summary of findings tables-binary outcomes. J Clin Epidemiol. 2013;66(2):158–72.PubMedCrossRef Guyatt GH, Oxman AD, Santesso N, Helfand M, Vist G, Kunz R, et al. GRADE guidelines: 12. Preparing summary of findings tables-binary outcomes. J Clin Epidemiol. 2013;66(2):158–72.PubMedCrossRef
120.
Zurück zum Zitat Guyatt GH, Thorlund K, Oxman AD, Walter SD, Patrick D, Furukawa TA, et al. GRADE guidelines: 13. Preparing summary of findings tables and evidence profiles—continuous outcomes. J Clin Epidemiol. 2013;66(2):173–83.PubMedCrossRef Guyatt GH, Thorlund K, Oxman AD, Walter SD, Patrick D, Furukawa TA, et al. GRADE guidelines: 13. Preparing summary of findings tables and evidence profiles—continuous outcomes. J Clin Epidemiol. 2013;66(2):173–83.PubMedCrossRef
121.
Zurück zum Zitat Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020;16(368):l6890.CrossRef Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020;16(368):l6890.CrossRef
123.
Zurück zum Zitat Fu R, Gartlehner G, Grant M, Shamliyan T, Sedrakyan A, Wilt TJ, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the effective health care program. J Clin Epidemiol. 2011;64(11):1187–97.PubMedCrossRef Fu R, Gartlehner G, Grant M, Shamliyan T, Sedrakyan A, Wilt TJ, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the effective health care program. J Clin Epidemiol. 2011;64(11):1187–97.PubMedCrossRef
125.
Zurück zum Zitat Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002.PubMedCrossRef Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002.PubMedCrossRef
126.
Zurück zum Zitat Sutton A, Abrams KR, Jones DR, Sheldon T, Song F. Methods for meta-analysis in medical research. Chichester. Wiley; 2000. p. 3. Sutton A, Abrams KR, Jones DR, Sheldon T, Song F. Methods for meta-analysis in medical research. Chichester. Wiley; 2000. p. 3.
128.
129.
Zurück zum Zitat Shi L, Lin L. The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses. Medicine. 2019;98(23):e15987.PubMedPubMedCentralCrossRef Shi L, Lin L. The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses. Medicine. 2019;98(23):e15987.PubMedPubMedCentralCrossRef
130.
Zurück zum Zitat Sweeting MJ, Sutton AJ, Lambert PC. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. Stat Med. 2004;23(9):1351–75.PubMedCrossRef Sweeting MJ, Sutton AJ, Lambert PC. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. Stat Med. 2004;23(9):1351–75.PubMedCrossRef
131.
Zurück zum Zitat Jadad AR, Cook DJ, Browman GP. A guide to interpreting discordant systematic reviews. Can Med Assoc J. 1997;156(10):6. Jadad AR, Cook DJ, Browman GP. A guide to interpreting discordant systematic reviews. Can Med Assoc J. 1997;156(10):6.
132.
Zurück zum Zitat Guyatt GH, Oxman AD, Sultan S, Glasziou P, Akl EA, Alonso-Coello P, et al. GRADE guidelines: 9. Rating up the quality of evidence. J Clin Epidemiol. 2011;64(12):1311–6.PubMedCrossRef Guyatt GH, Oxman AD, Sultan S, Glasziou P, Akl EA, Alonso-Coello P, et al. GRADE guidelines: 9. Rating up the quality of evidence. J Clin Epidemiol. 2011;64(12):1311–6.PubMedCrossRef
133.
Zurück zum Zitat Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.PubMedCrossRef Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.PubMedCrossRef
134.
Zurück zum Zitat Berkman ND, Lohr KN, Ansari MT, Balk EM, Kane R, McDonagh M, et al. Grading the strength of a body of evidence when assessing health care interventions: an EPC update. J Clin Epidemiol. 2015;68(11):1312–24.PubMedCrossRef Berkman ND, Lohr KN, Ansari MT, Balk EM, Kane R, McDonagh M, et al. Grading the strength of a body of evidence when assessing health care interventions: an EPC update. J Clin Epidemiol. 2015;68(11):1312–24.PubMedCrossRef
135.
Zurück zum Zitat Foroutan F, Guyatt G, Zuk V, Vandvik PO, Alba AC, Mustafa R, et al. GRADE guidelines 28: use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks. J Clin Epidemiol. 2020;121:62–70.PubMedCrossRef Foroutan F, Guyatt G, Zuk V, Vandvik PO, Alba AC, Mustafa R, et al. GRADE guidelines 28: use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks. J Clin Epidemiol. 2020;121:62–70.PubMedCrossRef
136.
Zurück zum Zitat Zhang Y, Alonso-Coello P, Guyatt GH, Yepes-Nuñez JJ, Akl EA, Hazlewood G, et al. GRADE guidelines: 19. Assessing the certainty of evidence in the importance of outcomes or values and preferences—risk of bias and indirectness. J Clin Epidemiol. 2019;1(111):94–104.CrossRef Zhang Y, Alonso-Coello P, Guyatt GH, Yepes-Nuñez JJ, Akl EA, Hazlewood G, et al. GRADE guidelines: 19. Assessing the certainty of evidence in the importance of outcomes or values and preferences—risk of bias and indirectness. J Clin Epidemiol. 2019;1(111):94–104.CrossRef
137.
Zurück zum Zitat Zhang Y, Coello PA, Guyatt GH, Yepes-Nuñez JJ, Akl EA, Hazlewood G, et al. GRADE guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains. J Clin Epidemiol. 2019;1(111):83–93.CrossRef Zhang Y, Coello PA, Guyatt GH, Yepes-Nuñez JJ, Akl EA, Hazlewood G, et al. GRADE guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains. J Clin Epidemiol. 2019;1(111):83–93.CrossRef
139.
Zurück zum Zitat Santesso N, Glenton C, Dahm P, Garner P, Akl E, Alper B, et al. GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions. J Clin Epidemiol. 2019;119:126–35.PubMedCrossRef Santesso N, Glenton C, Dahm P, Garner P, Akl E, Alper B, et al. GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions. J Clin Epidemiol. 2019;119:126–35.PubMedCrossRef
140.
Zurück zum Zitat Murad MH, Mustafa RA, Schünemann HJ, Sultan S, Santesso N. Rating the certainty in evidence in the absence of a single estimate of effect. Evid Based Med. 2017;22(3):85–7.PubMedPubMedCentralCrossRef Murad MH, Mustafa RA, Schünemann HJ, Sultan S, Santesso N. Rating the certainty in evidence in the absence of a single estimate of effect. Evid Based Med. 2017;22(3):85–7.PubMedPubMedCentralCrossRef
141.
Zurück zum Zitat Hultcrantz M, Rind D, Akl EA, Treweek S, Mustafa RA, Iorio A, et al. The GRADE working group clarifies the construct of certainty of evidence. J Clin Epidemiol. 2017;1(87):4–13.CrossRef Hultcrantz M, Rind D, Akl EA, Treweek S, Mustafa RA, Iorio A, et al. The GRADE working group clarifies the construct of certainty of evidence. J Clin Epidemiol. 2017;1(87):4–13.CrossRef
142.
Zurück zum Zitat Zeng L, Brignardello-Petersen R, Hultcrantz M, Siemieniuk RAC, Santesso N, Traversy G, et al. GRADE guidelines 32: GRADE offers guidance on choosing targets of GRADE certainty of evidence ratings. J Clin Epidemiol. 2021;137:163–75.PubMedCrossRef Zeng L, Brignardello-Petersen R, Hultcrantz M, Siemieniuk RAC, Santesso N, Traversy G, et al. GRADE guidelines 32: GRADE offers guidance on choosing targets of GRADE certainty of evidence ratings. J Clin Epidemiol. 2021;137:163–75.PubMedCrossRef
143.
Zurück zum Zitat Alonso-Coello P, Schünemann HJ, Moberg J, Romina BP, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016;353:i2016.PubMedCrossRef Alonso-Coello P, Schünemann HJ, Moberg J, Romina BP, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ. 2016;353:i2016.PubMedCrossRef
144.
Zurück zum Zitat Alonso-Coello P, Oxman AD, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;30:i2089.CrossRef Alonso-Coello P, Oxman AD, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;30:i2089.CrossRef
145.
Zurück zum Zitat Bougioukas KI, Liakos A, Tsapas A, Ntzani E, Haidich AB. Preferred reporting items for overviews of systematic reviews including harms checklist: a pilot tool to be used for balanced reporting of benefits and harms. J Clin Epidemiol. 2018;93:9–24.PubMedCrossRef Bougioukas KI, Liakos A, Tsapas A, Ntzani E, Haidich AB. Preferred reporting items for overviews of systematic reviews including harms checklist: a pilot tool to be used for balanced reporting of benefits and harms. J Clin Epidemiol. 2018;93:9–24.PubMedCrossRef
Metadaten
Titel
Screening for hypertension in adults: protocol for evidence reviews to inform a Canadian Task Force on Preventive Health Care guideline update
verfasst von
Nicole Shaver
Andrew Beck
Alexandria Bennett
Brenda J. Wilson
Chantelle Garritty
Melissa Subnath
Roland Grad
Navindra Persaud
Guylène Thériault
Jennifer Flemming
Brett D. Thombs
John LeBlanc
Janusz Kaczorowski
Peter Liu
Christopher E. Clark
Gregory Traversy
Eva Graham
Janusz Feber
Frans H. H. Leenen
Kamila Premji
Robert Pap
Becky Skidmore
Melissa Brouwers
David Moher
Julian Little
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
Systematic Reviews / Ausgabe 1/2024
Elektronische ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-023-02392-1

Weitere Artikel der Ausgabe 1/2024

Systematic Reviews 1/2024 Zur Ausgabe