Evidence map›Paper›PMID 42082211›Full record

ArticleBMJ open2026

Optimal dose and type of exercise across cardiometabolic outcomes in adults with overweight or obesity: protocol for a Bayesian model-based dose-response network meta-analysis of randomised controlled trials.

Wanli Zang, Jiarong Wu, Qiuxia Zhang, Xianzuo Zhang

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. 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

4 authors.

Wanli ZangSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China.ORCID http://orcid.org/0000-0002-9712-4557
Jiarong WuSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China.
Qiuxia ZhangSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China qxzhang@suda.edu.cn zhangxianzuo@ustc.edu.cn.
Xianzuo ZhangDepartment of Orthopedics, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China qxzhang@suda.edu.cn zhangxianzuo@ustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOverweight and obesity are major global public health challenges and increase the risk of type 2 diabetes, dyslipidaemia, hypertension and cardiovascular disease. Exercise is a safe and cost-effective non-pharmacological strategy to improve cardiometabolic health, yet the optimal combinations of exercise modality and dose for key cardiometabolic outcomes remain uncertain. This protocol aims to synthesise evidence on the joint effects of exercise modality and dose in adults with overweight or obesity and to identify modality-dose combinations associated with the most favourable cardiometabolic profiles. METHODS AND ANALYSIS: We will search PubMed, Embase, Web of Science, the Cochrane Library, Scopus, SPORTDiscus and China National Knowledge Infrastructure (CNKI) from inception to June 2026 for randomised controlled trials of exercise interventions in adults (≥18 years) with overweight or obesity. Risk of bias will be assessed using the Cochrane Risk of Bias 2 tool. We will conduct a Bayesian model-based dose-response network meta-analysis to estimate modality-specific dose-response relationships across cardiometabolic outcomes, with exercise dose standardised as metabolic equivalent of task minutes per week. Non-linear dose-response curves will be fitted to estimate minimum effective doses and optimal dose ranges. Meta-classification and regression tree analyses will be used to explore potential effect modifiers. ETHICS AND DISSEMINATION: Ethical approval is not required because no primary data will be collected. Findings will be submitted to a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD420251229131.

Indexed as

Cardiovascular DiseasesExerciseExercise TherapyObesityOverweightAdultBayes TheoremHumansNetwork Meta-Analysis as TopicRandomized Controlled Trials as TopicResearch DesignExerciseNetwork Meta-AnalysisObesityOverweight

Identifiers

PMID42082211
PMCPMC13141191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.