ReviewJournal of experimental orthopaedics2026
Effectiveness of real-time visual supervised telerehabilitation on functioning following knee arthroplasty compared with outpatient or home-based exercise: A systematic review of randomized controlled trials.
Review in Journal of experimental orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Trajectories of physical activity following digital education and exercise therapy-a longitudinal registry study among 15,197 persons with knee or hip osteoarthritis.BMC musculoskeletal disorders · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: With advances in digital healthcare technologies, telerehabilitation has recently been utilized to deliver rehabilitation in real time following orthopaedic surgery; in this scenario, therapeutic exercise, robotic rehabilitation and virtual reality approaches might be tailored to the patient's needs by professionals, utilizing digital smart devices, in a videoconferencing-based approach with a positive impact on the patients. There remains a relative paucity of high-quality research evaluating the effectiveness of real-time visual-supervised telerehabilitation (RTVST) compared to outpatient rehabilitation following total knee arthroplasty (TKA) in the current literature. This systematic review of randomized controlled trials (RCTs) aimed to assess the clinical efficacy of RTVST after TKA in terms of outcomes and knee function using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) compared with outpatient or home-based exercise. Methods: PubMed, Scopus and Web of Science databases were systematically searched for English-language RCTs published from 2015 to 2025. Of 577 studies identified, five RCTs were included after screening according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: The included studies, conducted across various countries and utilizing diverse telerehabilitation models (e.g., videoconferencing and wearable sensors), consistently suggest that RTVST is a feasible, safe and often noninferior alternative to traditional rehabilitation, with some studies indicating superior or faster functional recovery in specific parameters. RTVST also offered potential benefits in cost-effectiveness. However, limitations such as technological barriers for the elderly and an overall high risk of bias in the included studies were noted. Conclusions: This systematic review demonstrated that RTVST provides comparable functional outcomes and patient-reported improvements to conventional rehabilitation but highlighted the urgent need for further high-quality research with larger sample sizes and standardized telerehabilitation protocols to clarify its precise role and optimize technological applications. Level of Evidence: N/A.
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Registered trials
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.