SynthesisJournal of medical systems2025
Smartphone-Based Digital Health Interventions: A Comprehensive Systematic Review of Efficacy for Cardiovascular and Cerebrovascular Outcomes.
Synthesis in Journal of medical systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Behavior Change Content and Implementation of Large Language Model-Driven Conversational Agents in Cardiometabolic Care: Scoping Review.Journal of medical Internet research · 2026Article
- Cardiac Arrest Survivors' Perspectives to Inform the Co-Design of a Web-Based Support and Learning Platform: Qualitative Content Analysis.Journal of medical Internet research · 2026Article
- Understanding How a Digital Platform for Chronic Disease Management Can Enable and Limit Patient Self-Care: Qualitative Study.Journal of medical Internet research · 2026Article
- Smart Community Hypertension Management: A Narrative Review of Promises and Challenges.Journal of multidisciplinary healthcare · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital health interventions (DHIs) have the potential to transform the management of cardiovascular disease (CVD) and cerebrovascular disease (CeVD) by addressing their risk factors, including hypertension, diabetes, obesity, dyslipidemia, and physical inactivity. Despite this potential, there remains a need for a comprehensive understanding of their clinical efficacy, implementation challenges, and usability features to integrate them effectively into healthcare frameworks. This systematic review aims to evaluate the clinical efficacy, functionalities, and barriers associated with smartphone-based DHIs for managing CVD and CeVD. The protocol was first registered in PROSPERO, with the registration number CRD42024570866. A comprehensive search was conducted across PubMed, ScienceDirect, Web of Science, and DOAJ. The study selection adhered to the PICO framework, and methodological quality was assessed using Cochrane's RoB 2 tool for randomized controlled trials (RCTs) and ROBINS-I for non-RCTs. A total of 35 studies were included, primarily consisting of 2-arm RCTs (57%). The studies were largely conducted in high-income countries, with limited representation from low- and middle-income regions. Significant improvements in physical activity were observed, while clinical outcomes like blood pressure, glucose levels, lipid profiles, and body weight showed mixed results, with several changes not reaching statistical significance. This review underscores the potential of DHIs in managing CVD and CeVD risk factors. However, the variability in clinical outcomes highlights the need for tailored, personalized interventions, longer study durations, and strategies to improve retention and engagement for optimizing efficacy and scalability.
Indexed as
Identifiers
40856892What OpenQuestion holds
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 OpenQuestion graph.