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Record W4404152181 · doi:10.7860/jcdr/2024/71122.20263

Effectiveness of Virtual Reality-based Rehabilitation and High-intensity Exercise Program for Total Knee Arthroplasty Patients: A Randomised Controlled Trial

2024· article· en· W4404152181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2024
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyMedicineRehabilitationTotal knee arthroplastyArthroplastyRandomized controlled trialPhysical medicine and rehabilitationVirtual realityIntensity (physics)SurgeryComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Introduction: Progression of articular cartilage loss and wear and strain are the usual causes of Osteoarthritis (OA), sometimes referred to as degenerative joint disease. India had roughly 200,000 knee arthroplasty procedures in 2020 in which nearly 72% were because of OA. Rebuilding the knee joint through knee arthroplasty is a great alternative for treating symptomatic OA in patients who have not responded to conservative treatment. Aim: To determine the effect of Virtual Reality (VR)- based rehabilitation and high-intensity exercise program for Total Knee Arthroplasty (TKA). Materials and Methods: In this double-blinded randomised controlled trial, 36 participants matched the inclusion criteria who underwent Total Knee Replacement (TKR) at the Department of Physiotherapy, Saveetha College of Physiotherapy, SIMATS, Chennai, Tamil Nadu, India. The study was started in the month of October 2023 and ended in January 2024. Then the participants were randomly allotted to an experimental group-VR (n=18) and a conventional group-high-intensity exercises (n=18). Outcome measures used are the Numeric Pain Rating Scale (NPRS) pain scale, knee range of motion, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Timed Up and Go (TUG) test. A paired t-test was utilised to evaluate significant variations between the pre- and post-test measurements. In order to find any meaningful differences between the two groups, an unpaired t-test was employed. Result: The average mean±Standard Deviation (SD) of age and Body Mass Index (BMI) was found to be 51.2±5.2 yearsand 28.3±2.0 kg/m². The experimental group and the conventional group both exhibited notable changes in terms of within-group differences. Numeric Pain Rating Scale (NPRS) significantly showed the same between the groups, but the range of motion showed better output in VR-based rehabilitation than indifferently supporting the pain outcome of the experimental group (p≥0.0001). Balance, gait and functional activities were improved in the experimental group compared to the conventional group and in the VR-based rehabilitation, the functional independence of the patient was achieved in nine weeks compared to the High-intensity (HI) exercises. Conclusion: The VR-based rehabilitation showed better outcomes in pain, range of motion, balance, gait and functional independence than a high-intensity exercise programme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.164
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.164
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.423
Teacher spread0.380 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it