ArticleEClinicalMedicine2026
Digital health interventions for lipid management in atherosclerotic cardiovascular disease: a systematic review and meta-analysis of randomised controlled trials.
Article in EClinicalMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of morbidity and mortality worldwide. Lipid management is a key component of secondary prevention, but the majority of patients fail to achieve low-density lipoprotein cholesterol (LDL-c) goals. Digital health may serve as an innovative and cost-effective approach to improve lipid control, but a systematic quantitative synthesis is lacking. This study aimed to evaluate the effect of digital health interventions on LDL-c reduction and lipid target attainment in patients with ASCVD. Methods: A systematic search was performed in Medline, Embase, CINAHL, and CENTRAL from inception to May 27, 2025. Randomised controlled trials (RCTs) evaluating the effect of digital health interventions in patients with ASCVD and reporting lipid outcomes were included. The primary outcomes were change in mean LDL-c and achievement of lipid control (LDL-c < 1.8 mmol/L). Pooled estimates were calculated using random-effects models. Heterogeneity was assessed using the I Findings: Of the 4997 records identified, 18 RCTs from 11 regions (n = 12,970) were included in the systematic review. Risk of bias was scored as high across all included trials. Overall, digital health was associated with greater reductions in LDL-c compared with usual care [mean difference (MD) = -0.10 mmol/L (95% CI -0.17 to -0.04); p = 0.003; I Interpretation: Our findings suggest that digital health interventions can support LDL-c reduction and lipid control in patients with ASCVD. Multi-component interventions were most effective, particularly when combined with high-frequency delivery, bidirectional communication, and telemonitoring. High heterogeneity and high risk of bias were observed across studies, and LDL-c reduction was not a primary outcome in most trials, warranting careful interpretation. Nevertheless, digital health shows potential for integration in lipid management, and warrants future research to optimise effectiveness and support implementation in clinical practice. Funding: Innovative Health Initiative Joint Undertaking.
Indexed as
Identifiers
What 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.