SynthesisJournal of health, population, and nutrition2025
The clinical efficacy of digital health interventions in patients with polycystic ovary syndrome: a systematic review and meta-analysis.
Synthesis in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Integrating evidence-based lifestyle and adjunct therapies for long-term management of polycystic ovary syndrome: mechanistic insights and clinical implications.Frontiers in reproductive health · 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
5 authors.
Funding
Abstract
backgroundPolycystic Ovary Syndrome (PCOS) is the most prevalent metabolic and endocrine disorder among women of reproductive age. Long-term management is crucial, yet the poor compliance and low sustainability of lifestyle interventions limit their effectiveness. Digital health interventions have demonstrated the potential to improve patient compliance. Therefore, this systematic review and meta-analysis evaluates the efficacy of digital health interventions in improving PCOS management.
methodsWe conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) on digital health interventions for PCOS by searching databases from inception until November 2025. The quality of included studies was evaluated using the Cochrane Risk of Bias Tool, and publication bias was examined with funnel plots, Egger's test, and Trim and Fill method. We used RevMan 5.4 software for the meta-analysis to evaluate the efficacy of these interventions. Subgroup analyses based on intervention duration and outcome measurement tools were performed to further clarify their benefits for PCOS patients.
resultsTwenty-five RCTs were included. The meta-analysis demonstrated that digital health interventions significantly improved treatment compliance (P = 0.007), compliance behavior (P < 0.05), quality of life (P = 0.04), and healthy lifestyle modifications-including dietary rhythm, sports consciousness, dietary content, and rhythm of life (all P < 0.05). Significant reductions were observed in body mass index (P = 0.02), waist circumference (P < 0.00001), serum testosterone (P = 0.002), anxiety (P < 0.00001), and depressive symptoms (P < 0.00001). However, no significant differences were observed in luteinizing hormone (P = 0.68), follicle-stimulating hormone levels (P = 0.97), or body awareness of lifestyle changes (P = 0.24). Subgroup analysis indicated that digital health interventions significantly improved body mass index after ≥ 6 months (P < 0.05) and effectively alleviated anxiety and depression regardless of intervention duration.
conclusionDigital health interventions represent a valuable adjunct in the long-term management of PCOS, demonstrating efficacy across clinical, behavioral, and psychological domains. SYSTEMATIC REVIEW REGISTRATION: Registration number: CRD 420,251,002,149.
Indexed as
Identifiers
What Socratic 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 Socratic graph.