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Record W4417466667 · doi:10.3390/jpm15120631

Effect of Rehabilitation Program for Muscle Strength, Balance, and Gait Retraining with Visual Feedback in Older Women with and Without Knee Osteoarthritis: Clinical Trial

2025· article· en· W4417466667 on OpenAlexaboutno aff
Tatiane Silva de Souza, Daniel Borges Pereira, Rodrigo Jugue Hagihara, Carolina Tayama Fuzinato, Ana Paula Ribeiro

Bibliographic record

VenueJournal of Personalized Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBalance (ability)OsteoarthritisGaitRehabilitationTimed Up and Go testVisual analogue scaleClinical trialRandomized controlled trial

Abstract

fetched live from OpenAlex

Background: Therapeutic exercises have gained great prominence due to the benefits shown in the treatment of knee osteoarthritis (OA). However, to date, there is no evidence on the effects of an exercise program combined with balance and gait training with visual feedback. Objective: To evaluate the therapeutic effect of an intervention program combining lower-limb muscle strengthening, balance training, and gait exercises with visual feedback on the chronic pain, functional, and biomechanical aspects of older women with and without OA knee. Methods: Clinical trials study with stratified allocation based on disease status (two-arm, triple-blind—assessor, interventionist, and data manager, parallel-group). In total, 40 older women were recruited: 20 in the OA knee group (OAG, n = 20) and 20 in the control group (CG, n = 20). The intervention included a muscular resistance training program in the lower limbs, and reactive and proactive balance and gait training associated with visual feedback. Both groups received the same intervention. The primary outcomes were pain measured by the Visual Analogue Scale and the questionnaires Western Ontario and McMaster Universities Osteoarthritis Index and Lequesne Algofunctional Index. The secondary outcomes were the six-minute walk test, the Falls Risk Awareness Questionnaire, the Timed Up and Go Test, plantar load distribution during gait, and patients’ acceptability. Results: The intervention was effective in improving pain and increasing functionality in older women with OA knee, as measured pre- and post-intervention, compared to the control, with a moderate to high effect size. Body balance increased in older women with OA, as indicated by perceptions of fall risk and walk-test pre- and post-intervention. During gait, a reduction in plantar load (midfoot and rearfoot areas) was observed pre- and post-intervention in OAG compared to the CG. Both groups showed excellent acceptability, suitability, and feasibility of the intervention program. Conclusions: The intervention protocol was effective over 2 consecutive months in reducing pain and increasing knee functionality, balance, walking distance, and perception of falls in older women with OA of the knee compared with women without the condition. During gait, when visual feedback was combined with the intervention protocol, it promoted a better distribution of plantar load over the midfoot and the medial and lateral rearfoot regions in older women with knee OA. Clinical Trial: ReBEC (RBR-5w67pz4). Ethics Committee approval (number: 4.091.004).

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.352
Teacher spread0.340 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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