Evidence map›Paper›PMID 42821840›Full record

SynthesisNeurology. Clinical practice2026

Digital Health Technologies for Risk Factor Management and Secondary Prevention After Stroke: A Systematic Review and Meta-Analysis.

Shervin Badihian, Margarita Fedorova, Bradley Ashley Ong, Nicolas R Thompson, Neil Nero, Ken Uchino, Shumei Man

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neurology. Clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Shervin BadihianDepartment of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-9140-3061
Margarita FedorovaDepartment of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0003-2639-5656
Bradley Ashley OngDepartment of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0001-6507-1967
Nicolas R ThompsonEducation Institute, Floyd D. Loop Alumni Library, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-8973-5219
Neil NeroEducation Institute, Floyd D. Loop Alumni Library, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-8391-4785
Ken UchinoCerebrovascular Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0001-9468-4172
Shumei ManCerebrovascular Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-8345-6470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDigital health interventions are increasingly used in medicine to manage chronic conditions. However, the effectiveness, feasibility, and consistency of these interventions in poststroke risk factor management and secondary prevention remain uncertain. We conducted a systematic review and meta-analysis to evaluate the effect of digital health-supported interventions on vascular risk factor control among stroke survivors. We systematically searched MEDLINE, Embase, and Cochrane CENTRAL from inception through September 2025 for randomized, single-arm, and observational studies evaluating digital health interventions, defined as mobile health applications, wearable devices, or combined platforms, among adults with ischemic stroke, hemorrhagic stroke, or transient ischemic attack. Outcomes of interest included systolic and diastolic blood pressure, lipid levels, weight, physical activity, medication adherence, quality of life, and clinical events. Random-effects meta-analyses were performed for outcomes reported by ≥ 3 studies. Feasibility outcomes, including recruitment, retention, adherence, and usability were synthesized qualitatively. RECENT

findingsTwenty-nine studies encompassing 8,389 participants were included. Digital health interventions were associated with modest reductions in systolic blood pressure compared with control conditions, including usual care and minimal-intervention comparators (pooled between-group mean difference, -5.8 mm Hg; 95% CI -9.9 to -1.6). However, prediction intervals crossed the null value, and between-study heterogeneity was substantial. No consistent effects were observed for diastolic blood pressure, lipid levels, or weight. Reporting of physical activity, medication adherence, and quality-of-life outcomes was heterogeneous, precluding quantitative pooling, although most studies reported favorable trends. Overall feasibility was high, with an aggregate dropout rate of 3.6% (95% CI 3.2%-4.0%) and high user acceptability across studies. Most trials enrolled participants with mild functional impairment and short follow-up durations (median ≈3 months). Few studies were powered to assess recurrent stroke or mortality. SUMMARY: Digital health-supported interventions for secondary stroke prevention seem feasible and acceptable, with evidence of modest short-term improvements in blood pressure. However, clinical effectiveness across other vascular risk factors remains inconsistent. In addition, substantial heterogeneity, short follow-up, and limited high-quality evidence constrain causal inference and preclude conclusions regarding sustained clinical benefit.

Indexed as

Digital HealthSecondary PreventionStrokeHumansRisk Factors

Identifiers

PMID42821840
PMCPMC13631877

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.