Evidence map›Paper›PMID 41602452›Full record

SynthesisFrontiers in physiology2025

Meta-analysis of comparative effects of mobile app-based digital rehabilitation versus traditional rehabilitation after total knee arthroplasty.

Liang Ma, Jia-Qiang Liu, Kun Yu, Mei-Yun Tan

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in physiology, 2025. 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

4 authors.

Liang Ma *Department of Orthopedics, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Jia-Qiang LiuDepartment of Orthopedics, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Kun YuDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Chengdu Pidu District People's Hospital, Chengdu, Sichuan, China.
Mei-Yun TanDepartment of Orthopedics, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study is to compare the effect of digital rehabilitation based on mobile app and traditional rehabilitation program after total knee arthroplasty. Methods: The following electronic databases were systematically searched to identify eligible trials: PubMed, EMBASE, Web of Science, the Cochrane Library, Scopus, and CINAHL. The searches were conducted from database inception to 1 December 2025. According to the inclusion and exclusion criteria, literature screening, data extraction and evaluation of its methodological quality were carried out. RevMan5.4 software was used to conduct heterogeneity test and meta-analysis of the included studies, and Cochrane systematic review tool was used to evaluate the literature publication bias. The main outcomes were visual analogue scale (VAS) of pain, "standing walking" timing test, knee function score (KSS), knee range of motion (ROM), and 10-m Walk Test. Results: This meta-analysis included 8 studies involving a total of 694 patients. Compared with traditional rehabilitation, the app-based group showed significantly lower pain scores, as assessed by the Visual Analogue Scale (VAS), with a positive mean difference favoring the app-based group (MD = 1.03, 95% CI 0.30 to 1.75; I Conclusion: Compared with traditional rehabilitation, mobile app-based digital rehabilitation after total knee arthroplasty was associated with improved pain relief and better performance-based functional outcomes, as well as greater early gains in knee range of motion. No significant difference was observed in composite knee function scores. Given the low to moderate certainty of evidence, app-based rehabilitation may be considered as an adjunct or alternative rehabilitation strategy for selected patients, while further high-quality randomized controlled trials are needed to confirm long-term effectiveness.

Indexed as

digital rehabilitationmeta-analysismobile appstotal knee arthroplastytraditional rehabilitation

Identifiers

PMID41602452
PMCPMC12832435

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.