Evidence map›Paper›PMID 40432621›Full record

SynthesisJournal of telemedicine and telecare2026

The physical and psychological effectiveness of mHealth-based physiotherapy for patients with chronic non-specific low back pain: A systematic review and meta-analysis.

Weihong Shi, Lixia Chen, Yuhang Zhang, Wangshu Yuan, Qing Li, Zhengwei Chen, Houqiang Zhang, Qiyang Feng, Yingshan Gan, Huiling Zhang and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of telemedicine and telecare, 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

12 authors.

Weihong ShiDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0009-0003-2101-3134
Lixia ChenDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuhang ZhangDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wangshu YuanDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Qing LiDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhengwei ChenDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Houqiang ZhangDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0003-4727-4044
Qiyang FengDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yingshan GanDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Huiling ZhangDepartment of Rehabilitation Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Di LiuJiakang Zhongzhi Technology Company, Beijing, China.
Ye LinPritzker School of Medicine, the University of Chicago, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundTo determine (a) the effect of mHealth-based physiotherapy for patients with chronic non-specific low back pain (CNLBP) on fear, anxiety, depression, and self-efficacy; (b) which is the most effective on improving individuals' pain intensity and physical disability through the comparison of the efficacy of mHealth-based physiotherapy with outpatient-based physiotherapy, home-based physiotherapy with simple supervision or unsupervision, and waiting-list group.MethodsThe systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted in PubMed, MEDLINE (via Ovid), Scopus, Embase, the Physiotherapy Evidence Database (PEDro), Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL) until September 20, 2024. Two independent reviewers (LQ and CZW) extracted information about origin, characteristics of study participants, eligibility criteria, characteristics of interventions, outcome measures and main results.ResultsA total of 37 RCTs involving 5832 participants were included. The risk of bias was generally low in the included studies. The results indicated that mHealth-based physiotherapy for individuals' CNLBP was more effective in reducing pain intensity (standardized mean difference [SMD] -0.32, 95% CI -0.48 to -0.17;

Indexed as

Chronic PainLow Back PainPhysical Therapy ModalitiesAnxietyFearHumansRandomized Controlled Trials as TopicSelf EfficacyTelemedicineLow back painmHealthmobile healthphysiotherapytelerehabilitation

Identifiers

PMID40432621
PMCPMC13070138

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.