SynthesisPLoS medicine2017
Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis.
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.
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.
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.
Effects of Manually Recorded or Automatically Transmitted Home Blood Pressures With or Without Automated Patient Feedback on Hypertension Care
Who cites it
331 citing papers in PubMed, 16 syntheses or guidelines pooled it.
- Pooled it
- Barriers and facilitators to digital health tool adoption for hypertension management: systematic review of qualitative studies.BMJ open · 2026Pooled it
- The effect of digital therapeutics intervention on improving hypertension management in adults: a meta-analysis of randomized controlled trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- Self-measurement of blood pressure at home using a cuff device for change in blood pressure levels: systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Pooled it
- 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 · 2024Pooled it
- Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Does home blood pressure monitoring improve blood pressure-related outcomes in people living with chronic kidney disease? A systematic review.Journal of clinical hypertension (Greenwich, Conn.) · 2024Pooled it
- Self-Measured Blood Pressure-Guided Pharmacotherapy: A Systematic Review and Meta-Analysis of United States-Based Telemedicine Trials.Hypertension (Dallas, Tex. : 1979) · 2024Pooled it
- Remote follow-up by pharmacists for blood pressure control in patients with hypertension: a systematic review and a meta-analysis of randomized controlled trials.Scientific reports · 2024Pooled it
- Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review.Journal of medical Internet research · 2023Pooled it
- An evaluation of the efficacy and the safety of home blood pressure monitoring in the control of hypertensive disorders of pregnancy in both pre and postpartum periods: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2023Pooled it
- Effectiveness of mHealth interventions for improving hypertension control in uncontrolled hypertensive patients: A meta-analysis of randomized controlled trials.Journal of clinical hypertension (Greenwich, Conn.) · 2023Pooled it
- Effectiveness and Cost-Effectiveness of Team-Based Care for Hypertension: A Meta-Analysis and Simulation Study.Hypertension (Dallas, Tex. : 1979) · 2023Pooled it
- Self-monitoring of blood pressure among women with hypertensive disorders of pregnancy: a systematic review.BMC pregnancy and childbirth · 2022Pooled it
- Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Applying behavior change theory to intervention design: promoting clinic-level implementation of self-measured blood pressure monitoring in safety net primary care settings.Translational behavioral medicine · 2026Trial
- Impact of Push Notifications on Physical Activity and Sodium Intake Among Patients with Hypertension: Microrandomized Trial of a Just-in-Time Adaptive Intervention.Journal of medical Internet research · 2026Trial
- Effect of a Mobile Health Intervention in the Management of Hypertension: Open-Label Cluster-Randomized Trial.JMIR mHealth and uHealth · 2025Trial
- Adopting Self-Measured Blood Pressure Monitoring Among Underserved Communities (ASPIRE): A Pilot Randomized Controlled Trial.Journal of general internal medicine · 2025Trial
271 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
29 authors.
Funding
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.
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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.