Trial reportJournal of neuroengineering and rehabilitation2023
Effectiveness and therapeutic compliance of digital therapy in shoulder rehabilitation: a randomized controlled trial.
Trial report in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05230056 (Effectiveness and Therapeutic Compliance of Digital Therapy in Shoulder Rehabilitation.), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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 and Therapeutic Compliance of Digital Therapy in Shoulder Rehabilitation.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effect of home exercise programs in patients with non-tears rotator cuff-related shoulder pain: a systematic review and meta-analysis.European journal of physical and rehabilitation medicine · 2025Pooled it
- Effectiveness of Virtual Reality for Pain Management in Musculoskeletal Disorders Across Anatomical Regions: A Systematic Review and Meta-Analysis.Musculoskeletal care · 2025Pooled it
- Effectiveness of Telerehabilitation in the Treatment of Shoulder Injuries: A Systematic Review of Randomized Clinical Trials.Archives of rehabilitation research and clinical translation · 2026Review
- Review
- Digital and virtual reality-based rehabilitation versus conventional therapy for rotator cuff tears and post-repair recovery: a systematic review and meta-analysis.JSES reviews, reports, and techniques · 2026Review
- Design and Validation of PACTUS 2.0: Usability for Neurological Patients, Seniors and Caregivers.Sensors (Basel, Switzerland) · 2025Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInteractive videogames, virtual reality, and robotics represent a new opportunity for multimodal treatments in many rehabilitation contexts. However, several commercial videogames are designed for leisure and are not oriented toward definite rehabilitation goals. Among the many, Playball
methodsA randomized controlled experimental design was outlined. Twenty-two adults with shoulder pathologies were recruited for a rehabilitation program of ten consecutive sessions. A control (CTRL; N = 11; age: 62.0 ± 10.9 yrs) and an intervention group (PG; N = 11; age: 59.9 ± 10.2 yrs) followed a non-digital and a digital therapy, respectively. The day before (T
resultsMANOVA analysis showed significant improvements in pain (p < 0.01), strength (p < 0.05), and PENN Shoulder Score (p < 0.001) in both groups. Similarly, patients' engagement improved, with significant increments in Self-efficacy (p < 0.05) and attitude (p < 0.05) scores in both groups after the rehabilitation. Pearson correlation showed significant correlations of the Δ scores (T
conclusionsThe investigated digital therapy resulted as effective as an equivalent non-digital therapy in shoulder rehabilitation. The reported positive relationship between the subject's enjoyment during digital therapy and intention to train at home suggests promising results in possible patient's exercise engagement at home after the rehabilitation in the medical center. RETROSPECTIVELY REGISTERED: NCT05230056.
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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.