Evidence map›Paper›PMID 31730171›Full record

SynthesisAmerican journal of hypertension2020

Self-monitoring of Blood Pressure in Patients With Hypertension-Related Multi-morbidity: Systematic Review and Individual Patient Data Meta-analysis.

J P Sheppard, K L Tucker, W J Davison, R Stevens, W Aekplakorn, H B Bosworth, A Bove, K Earle, M Godwin, B B Green and 20 more

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of hypertension, 2020. 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 56 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 5 pooled it
6.3field-weighted citation impact, top 3% of its field
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

56 citing papers in PubMed, 5 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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  17. Current hypertension epidemiology and contemporary approaches using the "Real-World Evidence Cycle" framework.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors at 20 institutions in 10 countries.

J P SheppardNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
K L TuckerNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
W J DavisonAgeing and Stroke Medicine, Norwich Medical School, University of East Anglia, United Kingdom.
R StevensNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
W AekplakornDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University Bangkok, Thailand.
H B BosworthCenter for Health Services Research in Primary Care, Department of Population Health Sciences, Duke University, Durham, North Carolina, USA.
A BoveCardiology, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA.
K EarleThomas Addison Diabetes Unit, St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.
M GodwinFamily Medicine, Memorial University of Newfoundland, St. John's, Canada.
B B GreenKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
P HebertDepartment of Health Services, University of Washington School of Public Health, Seattle, Washington, USA.
C HeneghanNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
N HillNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
F D R HobbsNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
I KantolaDivision of Medicine, Turku University Hospital and University of Turku, Turku, Finland.
S M KerryCentre for Primary Care and Public Health, Queen Mary University of London, London, United Kingdom.
A LeivaPrimary Care Research Unit of Mallorca, Baleares Health Services-IbSalut, Mallorca, Spain.
D J MagidColorado School of Public Health, University of Colorado, Denver, Colorado, USA.
J MantPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
K L MargolisHealthPartners Institute, Minneapolis, Minnesota, USA.
B McKinstryUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
M A McLaughlinIcahn School of Medicine at Mount Sinai New York, New York, New York, USA.
K McNamaraCentre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia.
S OmboniClinical Research Unit, Italian Institute of Telemedicine, Varese, Italy.
O OgedegbeCenter for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, Langone School of Medicine, New York University, New York, USA.
G ParatiIstituto Auxologico Italiano, IRCCS, Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Milan, Italy.
J VarisDivision of Medicine, Turku University Hospital and University of Turku, Turku, Finland.
W J VerberkCardiovascular Research Institute Maastricht and Departments of Internal Medicine, Maastricht University, Maastricht, The Netherlands.
B J WakefieldDepartment of Veterans (VA) Health Services Research and Development Centre for Comprehensive Access and Delivery Research and Evaluation (CADRE), VA Medical Centre, Iowa City, USA.
R J McManusNuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBUniversity of Turku · FIColorado School of Public Health · USDeakin University · AUDuke University · USHealthPartners · USHealth Services Research & Development · USIcahn School of Medicine at Mount Sinai · USIRCCS Istituto Auxologico Italiano · ITKaiser Permanente Washington Health Research Institute · USMaastricht University · NLMahidol University · THMemorial University of Newfoundland · CANew York University · USQueen Mary University of London · GBSechenov University · RUServei de Salut de les Illes Balears · ESSt George’s University Hospitals NHS Foundation Trust · GBTemple University · USUniversity of Cambridge · GB

Funding

Take Control of Your Blood Pressure (TCYB) StudyR01HL070713 · NHLBI · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B. · 2003 to 2007
$3.7M
Home Blood Pressure Telemonitoring and Case Management to Control HypertensionR01HL090965 · NHLBI · HEALTHPARTNERS INSTITUTE · PI MARGOLIS, KAREN L · 2008 to 2015
$3.3M
HSR&D Senior Research Career Scientist AwardIK6HX003161 · VA · DURHAM VA MEDICAL CENTER · PI Hayden B Bosworth · 2020 to 2026
–
Chief Scientist Office ARPG/07/03Department of Health NIHR-RP-02-12-015HSRD VA IK6 HX003161NHLBI NIH HHS R01 HL070713NHLBI NIH HHS R01 HL090965Wellcome Trust 211182/Z/18/Z
6 · The paper itself

Abstract

backgroundStudies have shown that self-monitoring of blood pressure (BP) is effective when combined with co-interventions, but its efficacy varies in the presence of some co-morbidities. This study examined whether self-monitoring can reduce clinic BP in patients with hypertension-related co-morbidity.

methodsA systematic review was conducted of articles published in Medline, Embase, and the Cochrane Library up to January 2018. Randomized controlled trials of self-monitoring of BP were selected and individual patient data (IPD) were requested. Contributing studies were prospectively categorized by whether they examined a low/high-intensity co-intervention. Change in BP and likelihood of uncontrolled BP at 12 months were examined according to number and type of hypertension-related co-morbidity in a one-stage IPD meta-analysis.

resultsA total of 22 trials were eligible, 16 of which were able to provide IPD for the primary outcome, including 6,522 (89%) participants with follow-up data. Self-monitoring was associated with reduced clinic systolic BP compared to usual care at 12-month follow-up, regardless of the number of hypertension-related co-morbidities (-3.12 mm Hg, [95% confidence intervals -4.78, -1.46 mm Hg]; P value for interaction with number of morbidities = 0.260). Intense interventions were more effective than low-intensity interventions in patients with obesity (P < 0.001 for all outcomes), and possibly stroke (P < 0.004 for BP control outcome only), but this effect was not observed in patients with coronary heart disease, diabetes, or chronic kidney disease.

conclusionsSelf-monitoring lowers BP regardless of the number of hypertension-related co-morbidities, but may only be effective in conditions such obesity or stroke when combined with high-intensity co-interventions.

Indexed as

Blood PressureBlood Pressure Monitoring, AmbulatorySelf CareAgedAged, 80 and overFemaleHumansHypertensionMaleMiddle AgedMultimorbidityPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicRisk FactorsTime Factorsblood pressurecoronary heart diseasediabeteshypertensionobesityrandomized controlled trialstroke

Identifiers

PMID31730171
PMCPMC7162426
OpenAlexW2986656579

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.