Evidence map›Paper›PMID 41255539›Full record

SynthesisFrontiers in endocrinology2025

Bayesian network meta-analysis of the impact of exercise therapy on blood glucose in type 2 diabetes patients.

Hairong Liu, Wenli Wang, Jing Sun

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

3 authors.

Hairong LiuFaculty for Physical Education, Shanghai International Studies University, Shanghai, China.
Wenli WangFaculty for Physical Education, Shanghai International Studies University, Shanghai, China.
Jing SunFaculty for Basic Education, Shanghai Institute of Visual Arts, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate the effects of exercise therapy on glycemic control in patients with type 2 diabetes mellitus (T2DM) and compare the efficacy of different exercise regimens. Methods: Randomized controlled trials (RCTs) investigating exercise interventions in T2DM were identified through systematic searches of PubMed, The Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), VIP, Wanfang Database, and China Biology Medicine (CBM) from inception to September 2024. Methodological quality was assessed using the Physiotherapy Evidence Database (PEDro) scale. Data were analyzed using RevMan 5.4, Stata 15.1, R 4.0.5, and JAGS 4.3.0 for Bayesian network meta-analysis. Results: A total of 22 studies involving 1448 participants were included. All studies were RCTs, with PEDro scores ranging from 6 to 8, with an average score of 6.41, indicating overall high quality. Exercise therapy significantly improved fasting blood glucose (SMD = -0.58, 95%CI: [-0.77, -0.39], Conclusion: Exercise therapy is an effective non-pharmacological approach for improving glycemic control in T2DM. Based on current evidence, combined aerobic and resistance exercise for 14-48 weeks is recommended as the optimal strategy for reducing fasting blood glucose, 2-hour postprandial blood glucose, and glycated hemoglobin levels in this population. Systematic Review Registration: www.crd.york.ac.uk, identifier CRD420251069226.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Exercise TherapyBayes TheoremGlycated HemoglobinHumansRandomized Controlled Trials as TopicBlood GlucoseGlycated Hemoglobinblood glucoseexercise therapynetwork meta-analysisrandomized controlled trialtype 2 diabetes

Identifiers

PMID41255539
PMCPMC12620225

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.