Evidence map›Paper›PMID 39830024›Full record

SynthesisFrontiers in physiology2024

mHealth-based exercise vs. traditional exercise on pain, functional disability, and quality of life in patients with knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials.

Liang Tang, Meng-Ming Wang, He-Xia Wang, Xiao-Ya He, Yue-Shuai Jiang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Effect of tele-rehabilitation on health outcomes in overweight and obese elderly women with locomotor disabilities from knee osteoarthritis: A randomised controlled trial.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2026
    Article
  4. Article
  5. Review
  6. Review
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.

Liang TangCollege of Physical Education and Arts Humanities, China University of Petroleum (Beijing), Beijing, China.
Meng-Ming WangLaw School, Case Western Reserve University, Cleveland, OH, United States.
He-Xia WangCollege of Physical Education and Arts Humanities, China University of Petroleum (Beijing), Beijing, China.
Xiao-Ya HeSports and Medicine Integrative Innovation Center, Capital University of Physical Education and Sports, Beijing, China.
Yue-Shuai JiangCollege of Physical Education and Arts Humanities, China University of Petroleum (Beijing), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to compare the efficacy of mHealth-based exercise interventions with traditional exercise in improving pain intensity, functional disability, and quality of life in patients suffering from knee osteoarthritis (OA). Method: Randomized controlled trials (RCTs) published from their inception to 23 August 2024 were searched in Cochrane, Embase, Medline, Web of Science. Reviewer pairs independently extracted data and evaluated bias using the Cochrane Risk of Bias tool. Results: Eleven studies, with a total of 800 participants with a mean age of 55.51 ± 6.88 years, were identified. All RCTs were performed from 2013 to 2024. There was no statistically significant difference between mHealth-supported exercise compared with the traditional exercise without mHealth in terms of pain reduction (standard mean differences [SMD] = -0.35; 95%CI: -0.74 to 0.04, P = 0.08), functional disability (SMD = -0.5; 95%CI: -0.1 to 0.01; P = 0.05), and quality of life (SMD = 0.11; 95%CI: -0.26 to 0.48; P = 0.56). However, a statistically significant difference was found between mHealth-supported exercise compared with unsupervised traditional exercise in terms of pain (SMD = -1.03; 95%CI: -1.49 to -0.57; P < 0.001) and functional disability (SMD = -0.89; 95%CI: -1.71 to -0.06; P = 0.04). Conclusion: mHealth-based exercise was found to be more effective than unsupervised conventional exercise in promoting pain relief and enhancing functional disability in patients with OA. When face-to-face exercise intervention is not feasible, mHealth-based exercise should be considered a viable option in the recovery process for knee OA. Given the significant heterogeneity observed in this study, it is important to exercise caution when extrapolating the results. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42024610393.

Indexed as

exercisemHealthosteoarthritis, meta-analysissystematic reviewtraditional exercise

Identifiers

PMID39830024
PMCPMC11739084

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.