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Role of physiotherapy in relieving osteoarthritis knee pain using Lysholm score

2025· article· en· W4407926882 on OpenAlexaboutno aff
Garvit Khatod, Rajendraprasad Butala, Sonali Das

Bibliographic record

VenueInternational Journal of Research in Orthopaedics · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisPhysical therapyKnee painPain scorePhysical medicine and rehabilitationSurgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: Knee osteoarthritis (OA) is a prevalent condition that significantly impacts quality of life. While pharmacological interventions are commonly used, non-pharmacological approaches like physiotherapy have gained increasing recognition. In this study, the Lysholm Knee Scoring Scale was used to assess how well physiotherapy worked in reducing knee pain and enhancing functional results for people with OA knee. Methods: A randomized controlled trial from 1st February 2023 to 31st July 2023 at Department of Orthopaedics, Padmashree Dr. D.Y. Patil Medical College and Hospital, Nerul, Navi Mumbai, Maharashtra, India was conducted with 500 participants diagnosed with knee OA. Participants were randomly assigned to either the physiotherapy group (n=250) or the control group (n=250). The physiotherapy group received a 12-week standardized program consisting of exercise therapy, manual therapy and education. The control group received standard care. The primary outcome was the Lysholm Knee Scoring Scale, assessed at baseline, 12 weeks (post-intervention) and 24 weeks (follow-up). Secondary outcomes included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), knee range of motion, muscle strength and quality of life. Results: At baseline, the groups were comparable in terms of age, gender, body mass index and clinical characteristics. The physiotherapy group demonstrated significantly greater improvements in the Lysholm Knee Scoring Scale compared to the control group at 12 weeks (mean difference: 10.2, 95% CI: 7.4, 13.0; p<0.001) and 24 weeks (mean difference: 12.2, 95% CI: 9.2, 15.2; p<0.001). Similar patterns were observed for secondary outcomes, with the physiotherapy group showing significant improvements in WOMAC pain and function, knee range of motion, quadriceps strength and quality of life (all p<0.001). Conclusions: This study provides evidence that physiotherapy interventions, including exercise therapy, manual therapy and education, are effective in relieving knee pain and improving functional outcomes in individuals with knee osteoarthritis, as measured by the Lysholm Knee Scoring Scale and other relevant clinical measures.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.407
Teacher spread0.370 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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