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Record W6981399973

Efficacy of Balance Training in Combination With Physical Therapy in Rehabilitation of Knee Osteoarthritis: A Randomized Clinical Trial

2019· article· en· W6981399973 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisRandomized controlled trialWOMACBalance (ability)RehabilitationTranscutaneous electrical nerve stimulationBalance trainingVisual analogue scale
DOInot available

Abstract

fetched live from OpenAlex

Objectives: The aim of this study was to assess the efficacy of balance training in combination with physical modalities in patients with knee OA. Materials and Methods: In this single-blinded randomized clinical trial, 60 patients (mean age: 56.5±0.90 years) with primary knee osteoarthritis were recruited. Participants were assigned to two groups. Physiotherapy (PT) group received routine physical therapy (hot pack, ultrasound, transcutaneous electrical nerve stimulation (TENS), and exercise) while balance training group (BT) received conventional physical therapy plus balance training using Biodex balance system (BBS). Results: The comparison between two groups revealed significant differences with regard to the visual analogue scale (VAS) pain score (P=0.023), Western Ontario and McMaster Universities Osteoarthritis (WOMAC) pain score (P=0.018), WOMAC total score (P=0.042), Lequesne index (P=0.015) as well as the score of Timed Up and Go (TUG) test (P=0.003). Similar results were observed for the fall risk score (P<0.001). The WOMAC stiffness score in the BT group significantly decreased from 2.80±0.34 to 1.70±0.32 (P<0.0 1), but it did not decrease in the PT group (P=0.096). Conclusions: The combination of balance training and physical therapy provided more pain relief and development of functional abilities in patients with knee OA.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.214
GPT teacher head0.557
Teacher spread0.343 · 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 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".

Quick stats

Citations6
Published2019
Admission routes1
Has abstractyes

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