Evidence map›Paper›PMID 41775487›Full record

ArticleBMJ open2026

Comparative effectiveness and safety of digital health delivery models for pulmonary rehabilitation in patients with chronic obstructive pulmonary disease: a protocol for systematic review and network meta-analysis of randomised controlled trials.

Ling Xu, Xinrong Chen, Cui Yang, Mei Feng, Ying Wu

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ling XuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China.
Xinrong ChenDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China.
Cui YangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China.
Mei FengDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China wuying0917@wchscu.cn fm197711@163.com.
Ying WuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China wuying0917@wchscu.cn fm197711@163.com.ORCID http://orcid.org/0000-0001-9254-5785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic obstructive pulmonary disease (COPD) affects approximately 480 million individuals globally and is projected to reach 600 million by 2050, representing a substantial burden on healthcare systems and patient quality of life. Pulmonary rehabilitation is a cornerstone intervention for COPD management, delivering clinically meaningful improvements in exercise capacity, health-related quality of life and dyspnoea. Despite strong guideline recommendations and established efficacy, only 2%-4% of eligible patients with COPD access traditional centre-based pulmonary rehabilitation due to geographical barriers, transportation difficulties, scheduling conflicts and limited healthcare resources. Digital health technologies offer promising alternatives to overcome these access barriers while potentially maintaining therapeutic benefits. Various digital delivery models have emerged, including video-based telerehabilitation, virtual reality platforms, mobile health applications and web-based programmes. However, their comparative effectiveness remains unclear, limiting evidence-based clinical decision making. This systematic review and network meta-analysis will aim to compare and rank the effectiveness and safety of different digital health delivery models for pulmonary rehabilitation in patients with COPD, providing evidence to inform optimal intervention selection in clinical practice. METHODS AND ANALYSIS: We will conduct a systematic review and Bayesian network meta-analysis following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Network Meta-Analyses guidelines. Comprehensive searches will be performed across five electronic databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, CINAHL) from inception to January 2026, without language restrictions. Eligible studies will include randomised controlled trials comparing digital health delivery models for pulmonary rehabilitation in adults with COPD. Digital health interventions will be categorised into four distinct delivery models: video-based telerehabilitation, virtual reality rehabilitation, mobile health rehabilitation and web-based platform rehabilitation. Interventions combining multiple modalities will be categorised according to the predominant component based on intervention frequency, duration and primary therapeutic mechanism. Two independent reviewers will perform study selection, data extraction and risk of bias assessment using the Cochrane Risk of Bias 2 tool. The primary outcome will be change in 6 min walk distance. Key secondary outcomes will include disease-specific quality of life measures, dyspnoea severity, hospitalisation rates, exacerbation frequency, intervention adherence and adverse events. A Bayesian random-effects network meta-analysis will be conducted, calculating mean differences or ORs with 95% credible intervals. Treatment rankings will be estimated using surface under the cumulative ranking curve probabilities. Evidence certainty will be assessed using the Confidence in Network Meta-Analysis framework. Planned subgroup analyses will explore potential effect modifiers including disease severity, intervention duration, supervision mode and technological features. ETHICS AND DISSEMINATION: As this systematic review will use data from previously published studies, formal ethical approval is not required. Findings will be disseminated through peer-reviewed publication, presentations at relevant scientific conferences and communication to healthcare providers, policymakers and patient advocacy organisations. PROSPERO REGISTRATION NUMBER: CRD420251268701.

Indexed as

Pulmonary Disease, Chronic ObstructiveComparative Effectiveness ResearchDigital HealthHumansNetwork Meta-Analysis as TopicQuality of LifeRandomized Controlled Trials as TopicResearch DesignSystematic Reviews as TopicTelemedicineTelerehabilitationAugmented RealityChronic airways diseaseeHealthMobile ApplicationsNetwork Meta-AnalysisTelemedicine

Identifiers

PMID41775487
PMCPMC12958996

What Socratic 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 Socratic graph.