Evidence map›Paper›PMID 31679511›Full record

SynthesisBMC musculoskeletal disorders2019

Technology-assisted rehabilitation following total knee or hip replacement for people with osteoarthritis: a systematic review and meta-analysis.

Xia Wang, David J Hunter, Giovana Vesentini, Daniel Pozzobon, Manuela L Ferreira

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC musculoskeletal disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 10 pooled it
14.6field-weighted citation impact, top 1% of its field
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

72 citing papers in PubMed, 10 syntheses or guidelines pooled it, 150 citations in OpenAlex.

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  20. 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

12 more citing papers are in PubMed but not listed here.

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 at 1 institution in 2 countries.

Xia WangLevel 10 Kolling Institute, Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Reserve Road, St. Leonards, Sydney, NSW, 2065, Australia. xia.wang@sydney.edu.au.ORCID http://orcid.org/0000-0003-3172-9390
David J HunterLevel 10 Kolling Institute, Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Reserve Road, St. Leonards, Sydney, NSW, 2065, Australia.
Giovana VesentiniLevel 10 Kolling Institute, Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Reserve Road, St. Leonards, Sydney, NSW, 2065, Australia.
Daniel PozzobonLevel 10 Kolling Institute, Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Reserve Road, St. Leonards, Sydney, NSW, 2065, Australia.
Manuela L FerreiraLevel 10 Kolling Institute, Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Reserve Road, St. Leonards, Sydney, NSW, 2065, Australia.
The University of Sydney · AU

Funding

Ramsay Research Foundation na
6 · The paper itself

Abstract

backgroundTo evaluate the effectiveness and safety of technology-assisted rehabilitation following total hip/knee replacement (THR/TKR).

methodsSix electronic databases were searched without language or time restrictions for relevant studies: MEDLINE, EMBASE, Cochrane Library, CINAHL, SPORTDiscus, Physiotherapy Evidence Database (PEDro); from inception to November 7th, 2018. Two reviewers independently applied inclusion criteria to select eligible randomised controlled trials (RCTs) that investigated the effectiveness of technology-based interventions, compared with usual care or no intervention for people undergoing THR/TKR. Two reviewers independently extracted trial details (e.g. patients' profile, intervention, outcomes, attrition and adverse events). Study methodological quality was assessed using the PEDro scale. Quality of evidence was critically appraised using the Grading of Recommendations, Assessment, Development and Evaluation approach.

resultsWe identified 21 eligible studies assessing telerehabilitation, game- or web-based therapy. There were 17 studies (N = 2188) in post-TKR rehabilitation and 4 studies (N = 783) in post-THR rehabilitation. Compared to usual care, technology-based intervention was more effective in reducing pain (mean difference (MD): - 0.25; 95% confidence interval (CI): - 0.48, - 0.02; moderate evidence) and improving function measured with the timed up-and-go test (MD: -7.03; 95% CI: - 11.18, - 2.88) in people undergoing TKR. No between-group differences were observed in rates of hospital readmissions or treatment-related adverse events (AEs) in those studies.

conclusionThere is moderate-quality of evidence showed technology-assisted rehabilitation, in particular, telerehabilitation, results in a statistically significant improvement in pain; and low-quality of evidence for the improvement in functional mobility in people undergoing TKR. The effects were however too small to be clinically significant. For THR, there is very limited low-quality evidence shows no significant effects.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeHumansOsteoarthritis, HipOsteoarthritis, KneeRandomized Controlled Trials as TopicTelerehabilitationWalk TestDigital healthHealthcare deliveryJoint arthroplastyTelerehabilitationVirtual reality

Identifiers

PMID31679511
PMCPMC6825714
OpenAlexW2987661604

What OpenQuestion 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 OpenQuestion graph.