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Record W4210245663 · doi:10.47391/jpma.495

Effect of Pilates based exercises on symptomatic knee osteoarthritis-A Randomized Controlled Trial

2022· article· en· W4210245663 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of the Pakistan Medical Association · 2022
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialExercise therapyRehabilitationOsteoarthritisMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the effects of Pilates exercises on pain, knee range of motion and functional disability in women with knee osteoarthritis. METHODS: The double-blind randomised controlled trial was conducted at the National Orthopaedic Hospital, Bahawalpur, Pakistan, from April to September 2018, and comprised female patients with knee osteoarthritis. The subjects were selected and randomised into control group A receiving isometrics and intervention group B receiving Pilates exercises. Both groups received one-hour sessions 3 times per week for 8 weeks. The groups were assessed at baseline and at the end of the 8th week using numeric pain rating scale and Western Ontario and McMaster Universities osteoarthritis index for pain and functionality level respectively. Data was analysed using SPSS 23. RESULTS: Of 44 patients, there were 22(50%) in each of the two groups. Mean age of group B was 57.60±6.34 years, and it was 55.65±7.28 in group B. Mean body mass index of group B was 25.812±4.16, and it was 26.93±4.4 in group A. The study was completed by 40(91%) patients; 20(50%) in each of the two groups. Both groups showed significant improvement for pain, range of motion and physical function post-intervention (p<0.05). Group B showed significantly more improvement in terms of pain and physical function compared to group A (p<0.05). CONCLUSIONS: Pilates exercises were found to be more effective in the treatment of patients with knee osteoarthritis. TRIAL REGISTRATION NUMBER: Chi CTR 2000030486.

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)0.011
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.262
Teacher spread0.258 · 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.

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".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

Explore more

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