Evidence mapPaperPMID 41837141Full record

SynthesisFrontiers in endocrinology2026

The effectiveness of digital health interventions on anthropometric and healthy behavior in women with polycystic ovarian syndrome: a systematic review with meta-analysis.

Hui-Fang Zeng, Zhen Dou, Yi-Nuo Zhang, Chu-Chu Wang, Tian Xia, Jing Xu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Hui-Fang Zeng *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhen Dou *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yi-Nuo ZhangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chu-Chu WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tian Xia *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jing Xu *The People's Hospital of Wuchuan, Zunyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effects of digital health interventions (DHIs) for improving anthropometric and healthy behavior in women with polycystic ovarian syndrome (PCOS). Methods: Five databases were searched from their inception to April 2025 with no date restrictions. Standardized mean differences (SMDs) and mean differences (MDs) with 95% confidence intervals (CIs) were pooled using random-effects models. The certainty of the evidence was assessed using the GRADE approach. Results: Ten trials with 930 participants were included. In short-term (≤3 months), DHIs yielded significant reductions in BMI (MD -1.19; -1.84 to -0.55; I²=0%), waist circumference (MD -2.14; -3.11 to -1.17; I²=0%) and large improvements in total HPLP-II score (SMD 1.61; 1.20 to 2.01; I²=0%), physical activity (SMD 1.43; 1.04 to 1.83; I²=0%), health responsibility (SMD 1.02; 0.64 to 1.39; I²=0%), interpersonal relationships (SMD 0.96; 0.59 to 1.33; I²=0%), spiritual growth (SMD 1.25; 0.87 to 1.64; I²=0%) and stress management (SMD 1.17; 0.79 to 1.55; I²=0%); there was no significant change in body weight (SMD -0.04; -0.23 to 0.15; I²=0%) or HPLP-II nutrition (SMD 0.83; -0.11 to 1.78; I²=84%). In medium-term (3-6 months), DHIs continued to reduce BMI (MD -2.46; -3.04 to -1.88; I²=22%) and waist circumference (MD -4.65; -6.70 to -2.60; I²=0%), and yielded significant improvements in depressive symptoms (SMD -0.85; -1.17 to -0.53; I²=17%) and anxiety (SMD -0.95; -1.33 to -0.56; I²=42%). Conclusion: Digital health interventions confer significant short- and medium-term improvements in anthropometric and healthy behavior measures among women with PCOS. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD420251030598.

Indexed as

Health BehaviorPolycystic Ovary SyndromeAnthropometryBody Mass IndexDigital HealthDigital MediaExerciseFemaleHumansWaist Circumferenceanthropometric measuresdigital health interventionshealth behaviorpolycystic ovary syndromesystematic review

Identifiers

PMID41837141
PMCPMC12982043

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.