Evidence map›Paper›PMID 26373404›Full record

Trial reportBMJ open2015

Individual patient data meta-analysis of self-monitoring of blood pressure (BP-SMART): a protocol.

Katherine L Tucker, James P Sheppard, Richard Stevens, Hayden B Bosworth, Alfred Bove, Emma P Bray, Marshal Godwin, Beverly Green, Paul Hebert, F D Richard Hobbs and 14 more

Erratum issuedAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Katherine L TuckerNuffield Department of Primary Care, University of Oxford, Oxford, UK.
James P SheppardNuffield Department of Primary Care, University of Oxford, Oxford, UK.
Richard StevensNuffield Department of Primary Care, University of Oxford, Oxford, UK.
Hayden B BosworthCenter for Health Services Research in Primary Care, Durham VAMC, Durham, North Carolina, USA.
Alfred BoveNuffield Department of Primary Care, University of Oxford, Oxford, UK Center for Health Services Research in Primary Care, Durham VAMC, Durham, North Carolina, USA Department of Cardiology, Temple University School of Medicine, Philadelphia, USA School of Psychology, University of Central Lancashire, Preston, UK Family Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada Group Health Research Institute, Seattle, Washington, USA Department of Health Services, University of Washington School of Public Health, Washington, DC, USA Department of Medicine, Turku University Hospital, Turku, Finland Centre for Primary Care and Public Health, Queen Mary University of London, London, UK Colorado School of Public Health, University of Colorado, Denver, Colorado, USA Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Health Partners Institute for Education and Research, Minneapolis, Minnesota, USA Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Midlothian, UK Clinical Research Unit, Italian Institute of Telemedicine, Solbiate Arno, Varese, Italy Division of Health and Behavior, Department of Population Health, Center for Healthful Behavior Change, New York University, Langone School of Medicine, New York, USA Departments of Cardiology, and Clinical Medicine and Prevention, University of Milano Bicocca, Milan, Italy Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK Departments of Internal Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Maastricht, The Netherlands Department of Veterans (VA) Health Services Research, Development Centre for Comprehensive Access and Delivery Research and Evaluation (CADRE), Iowa City VA Medical Centre, University of Iowa, Iowa City, Iowa, USA.
Emma P BrayDepartment of Cardiology, Temple University School of Medicine, Philadelphia, USA School of Psychology, University of Central Lancashire, Preston, UK.
Marshal GodwinFamily Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.
Beverly GreenGroup Health Research Institute, Seattle, Washington, USA.
Paul HebertDepartment of Health Services, University of Washington School of Public Health, Washington, DC, USA.
F D Richard HobbsNuffield Department of Primary Care, University of Oxford, Oxford, UK.
Ilkka KantolaDepartment of Medicine, Turku University Hospital, Turku, Finland.
Sally KerryCentre for Primary Care and Public Health, Queen Mary University of London, London, UK.
David J MagidColorado School of Public Health, University of Colorado, Denver, Colorado, USA.
Jonathan MantPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Karen L MargolisHealth Partners Institute for Education and Research, Minneapolis, Minnesota, USA.
Brian McKinstryCentre for Population Health Sciences, University of Edinburgh, Edinburgh, Midlothian, UK.
Stefano OmboniClinical Research Unit, Italian Institute of Telemedicine, Solbiate Arno, Varese, Italy.
Olugbenga OgedegbeDivision of Health and Behavior, Department of Population Health, Center for Healthful Behavior Change, New York University, Langone School of Medicine, New York, USA.
Gianfranco ParatiDepartments of Cardiology, and Clinical Medicine and Prevention, University of Milano Bicocca, Milan, Italy.
Nashat QamarPrimary Care Clinical Sciences, University of Birmingham, Birmingham, UK.
Juha VarisDepartment of Medicine, Turku University Hospital, Turku, Finland.
Willem VerberkDepartments of Internal Medicine, Cardiovascular Research Institute Maastricht, Maastricht University Maastricht, The Netherlands.
Bonnie J WakefieldDepartment of Veterans (VA) Health Services Research, Development Centre for Comprehensive Access and Delivery Research and Evaluation (CADRE), Iowa City VA Medical Centre, University of Iowa, Iowa City, Iowa, USA.
Richard J McManusNuffield Department of Primary Care, University of Oxford, Oxford, UK.

Funding

Chief Scientist Office ARPG/07/03Department of Health CDF/01/017Department of Health IS-SPC-0514-10043Department of Health NIHR-RP-02-12-015Department of Health RP-PG-1209-10051Medical Research Council MR/K022032/1
6 · The paper itself

Abstract

introductionSelf-monitoring of blood pressure is effective in reducing blood pressure in hypertension. However previous meta-analyses have shown a considerable amount of heterogeneity between studies, only part of which can be accounted for by meta-regression. This may be due to differences in design, recruited populations, intervention components or results among patient subgroups. To further investigate these differences, an individual patient data (IPD) meta-analysis of self-monitoring of blood pressure will be performed. METHODS AND ANALYSIS: We will identify randomised trials that have compared patients with hypertension who are self-monitoring blood pressure with those who are not and invite trialists to provide IPD including clinic and/or ambulatory systolic and diastolic blood pressure at baseline and all follow-up points where both intervention and control groups were measured. Other data requested will include measurement methodology, length of follow-up, cointerventions, baseline demographic (age, gender) and psychosocial factors (deprivation, quality of life), setting, intensity of self-monitoring, self-monitored blood pressure, comorbidities, lifestyle factors (weight, smoking) and presence or not of antihypertensive treatment. Data on all available patients will be included in order to take an intention-to-treat approach. A two-stage procedure for IPD meta-analysis, stratified by trial and taking into account age, sex, diabetes and baseline systolic BP will be used. Exploratory subgroup analyses will further investigate non-linear relationships between the prespecified variables. Sensitivity analyses will assess the impact of trials which have and have not provided IPD. ETHICS AND DISSEMINATION: This study does not include identifiable data. Results will be disseminated in a peer-reviewed publication and by international conference presentations.

conclusionsIPD analysis should help the understanding of which self-monitoring interventions for which patient groups are most effective in the control of blood pressure.

Indexed as

Antihypertensive AgentsBlood PressureComorbidityHumansHypertensionLife StyleMeta-Analysis as TopicQuality of LifeSelf CareAntihypertensive Agents

Identifiers

PMID26373404
PMCPMC4577873

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.