SynthesisIrish journal of medical science2025
Effectiveness of telerehabilitation exercises in low back pain: a systematic review.
Synthesis in Irish journal of medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07248813 (Effectiveness of an Additional Telerehabilitation Program Combined With Conventional Care on Functional Improvement in Patients With Chronic Low Back Pain at the Primary Care Level in the Mexican Institute of Social Security), which is not on this map. Cited by 3 papers.
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.
Effectiveness of an Additional Telerehabilitation Program Combined With Conventional Care on Functional Improvement in Patients With Chronic Low Back Pain at the Primary Care Level in the Mexican Institute of Social Security (IMSS): A Pragmatic Randomized Controlled Trial
Who cites it
3 citing papers in PubMed.
- Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.Journal of medical Internet research · 2026Article
- Culturally tailored mHealth interventions for chronic low back pain in rural sub-Saharan Africa: a systematic review protocol.BMJ open · 2026Article
- Efficiency and accessibility of physiotherapist-led real-time telerehabilitation in chronic low back pain: An interview study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow back pain (LBP) is a leading cause of disability globally, necessitating effective and accessible treatments. Telerehabilitation, which delivers exercise interventions via telecommunication technologies, has emerged as a promising alternative, particularly for individuals with limited access to traditional care.
aimThis systematic review assessed the effectiveness of telerehabilitation exercises on pain, disability, and quality of life (QoL) in adults with LBP compared to control and other interventions.
methodsA systematic search was conducted across Scopus, Web of Science, the Cochrane Library, CINAHL, EMBASE, and PEDro databases through July 26, 2023. Ten randomized controlled trials (RCTs) involving 461 participants with chronic or subacute LBP were analyzed. Interventions included video-based exercises and web applications compared to clinic-based exercises, standard care, home exercises, waiting list, or placebo.
resultsSignificant improvements in pain in 6 of 8 studies, disability in 6 of 10 studies, and QoL in all 6 studies where it was assessed. No adverse events or worse outcomes were reported.
conclusionsThese findings suggest telerehabilitation exercises are effective, safe, and accessible alternatives to traditional rehabilitation, with cost-effectiveness and better adherence. However, the heterogeneity in methods and short follow-up durations highlight the need for high-quality, long-term RCTs to strengthen evidence and guide clinical practice.
Indexed as
Identifiers
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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.