Evidence mapPaperPMID 28926573Full record

SynthesisPLoS medicine2017

Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis.

Katherine L Tucker, James P Sheppard, Richard Stevens, Hayden B Bosworth, Alfred Bove, Emma P Bray, Kenneth Earle, Johnson George, Marshall Godwin, Beverly B Green and 19 more

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07397260 (Effects of Manually Recorded or Automatically Transmitted Home Blood Pressures With or Without Automated Patient Feedback on Hypertension Care), which is not on this map. Cited by 331 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
331citing papers in PubMed, 16 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.

NCT07397260 naenrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Effects of Manually Recorded or Automatically Transmitted Home Blood Pressures With or Without Automated Patient Feedback on Hypertension Care

TypeinterventionalSponsorNorthwestern UniversityRan2026 to 2028Enrolled1,304ConditionsHypertension (HTN)ArmsSelf report of home measured blood pressure via patient EHR portal, Automated feedback about home blood pressure results, Automated Transmission of Remotely Measured Blood Pressure
3 · Its place in the literature

Who cites it

331 citing papers in PubMed, 16 syntheses or guidelines pooled it.

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  5. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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  6. Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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271 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Katherine L TuckerNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-6544-8066
James P SheppardNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-4461-8756
Richard StevensNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-9258-4060
Hayden B BosworthCenter for Health Services Research in Primary Care, Durham VAMC, Durham, North Carolina, United States of America.
Alfred BoveCardiology, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, United States of America.
Emma P BraySchool of Psychology, University of Central Lancashire, Preston, United Kingdom.
Kenneth EarleThomas Addison Diabetes Unit, St. George's NHS Trust, London, United Kingdom.
Johnson GeorgeCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia.ORCID http://orcid.org/0000-0002-0326-0495
Marshall GodwinFamily Medicine, Memorial University of Newfoundland, St. John's, Canada.
Beverly B GreenKaiser Permanente Washington Health Research Institute, Seattle, Washington, United States of America.
Paul HebertDepartment of Health Services, University of Washington School of Public Health, Seattle, Washington, United States of America.
F D Richard HobbsNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-7976-7172
Ilkka KantolaDivision of Medicine, Turku University Hospital and University of Turku, Turku, Finland.
Sally M KerryCentre for Primary Care and Public Health, Queen Mary University of London, London, United Kingdom.ORCID http://orcid.org/0000-0002-7181-9107
Alfonso LeivaPrimary Care Research Unit of Mallorca, Baleares Health Services-IbSalut, Mallorca, Spain.
David J MagidColorado School of Public Health, University of Colorado, Denver, Colorado, United States of America.ORCID http://orcid.org/0000-0001-9288-0532
Jonathan MantPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Karen L MargolisHealthPartners Institute for Education and Research, Minneapolis, Minnesota, United States of America.
Brian McKinstryUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.ORCID http://orcid.org/0000-0001-9581-0468
Mary Ann McLaughlinIcahn School of Medicine at Mount Sinai New York, New York, New York, United States of America.
Stefano OmboniClinical Research Unit, Italian Institute of Telemedicine, Varese, Italy.ORCID http://orcid.org/0000-0002-7124-2096
Olugbenga OgedegbeCenter for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, Langone School of Medicine, New York University, New York, New York, United States of America.
Gianfranco ParatiDepartment of Cardiovascular, Neural and Metabolic Sciences, IRCCS, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy.ORCID http://orcid.org/0000-0001-9402-7439
Nashat QamarPrimary Care Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.
Bahman P TabaeiDivision of Prevention and Primary Care, New York City Department of Health & Mental Hygiene, New York, New York, United States of America.ORCID http://orcid.org/0000-0001-6779-1044
Juha VarisDivision of Medicine, Turku University Hospital and University of Turku, Turku, Finland.
Willem J VerberkCardiovascular Research Institute Maastricht and Departments of Internal Medicine, Maastricht University, Maastricht, the Netherlands.
Bonnie J WakefieldDepartment of Veterans (VA) Health Services Research and Development Centre for Comprehensive Access and Delivery Research and Evaluation (CADRE), Iowa City VA Medical Centre, University of Iowa, Iowa, United States of America.ORCID http://orcid.org/0000-0001-8154-0065
Richard J McManusNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0003-3638-028X

Funding

Chief Scientist Office ARPG/07/03Department of Health 12/01/52Department 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

backgroundSelf-monitoring of blood pressure (BP) appears to reduce BP in hypertension but important questions remain regarding effective implementation and which groups may benefit most. This individual patient data (IPD) meta-analysis was performed to better understand the effectiveness of BP self-monitoring to lower BP and control hypertension. METHODS AND

findingsMedline, Embase, and the Cochrane Library were searched for randomised trials comparing self-monitoring to no self-monitoring in hypertensive patients (June 2016). Two reviewers independently assessed articles for eligibility and the authors of eligible trials were approached requesting IPD. Of 2,846 articles in the initial search, 36 were eligible. IPD were provided from 25 trials, including 1 unpublished study. Data for the primary outcomes-change in mean clinic or ambulatory BP and proportion controlled below target at 12 months-were available from 15/19 possible studies (7,138/8,292 [86%] of randomised participants). Overall, self-monitoring was associated with reduced clinic systolic blood pressure (sBP) compared to usual care at 12 months (-3.2 mmHg, [95% CI -4.9, -1.6 mmHg]). However, this effect was strongly influenced by the intensity of co-intervention ranging from no effect with self-monitoring alone (-1.0 mmHg [-3.3, 1.2]), to a 6.1 mmHg (-9.0, -3.2) reduction when monitoring was combined with intensive support. Self-monitoring was most effective in those with fewer antihypertensive medications and higher baseline sBP up to 170 mmHg. No differences in efficacy were seen by sex or by most comorbidities. Ambulatory BP data at 12 months were available from 4 trials (1,478 patients), which assessed self-monitoring with little or no co-intervention. There was no association between self-monitoring and either lower clinic or ambulatory sBP in this group (clinic -0.2 mmHg [-2.2, 1.8]; ambulatory 1.1 mmHg [-0.3, 2.5]). Results for diastolic blood pressure (dBP) were similar. The main limitation of this work was that significant heterogeneity remained. This was at least in part due to different inclusion criteria, self-monitoring regimes, and target BPs in included studies.

conclusionsSelf-monitoring alone is not associated with lower BP or better control, but in conjunction with co-interventions (including systematic medication titration by doctors, pharmacists, or patients; education; or lifestyle counselling) leads to clinically significant BP reduction which persists for at least 12 months. The implementation of self-monitoring in hypertension should be accompanied by such co-interventions.

Indexed as

Blood PressureAntihypertensive AgentsBlood Pressure Monitoring, AmbulatoryHumansHypertensionLife StylePatient Education as TopicRandomized Controlled Trials as TopicAntihypertensive Agents

Identifiers

PMID28926573
PMCPMC5604965

What Socratic holds

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LicenceCC BY
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Registered trials

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 Socratic graph.