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Record W2020299647 · doi:10.3138/ptc.2009-26

Comparison of the Original and Reduced Versions of the Berg Balance Scale and the Western Ontario and McMaster Universities Osteoarthritis Index in Patients Following Hip or Knee Arthroplasty

2010· article· en· W2020299647 on OpenAlexaffvenueabout
Pankaj Jogi, Sandi J. Spaulding, Aleksandra Zecevic, Tom J. Overend, John F. Kramer

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsWestern University
Fundersnot available
KeywordsBerg Balance ScaleOsteoarthritisBalance (ability)Index (typography)Physical therapyArthroplastyPhysical medicine and rehabilitationMedicineScale (ratio)Computer scienceSurgeryWorld Wide WebGeographyAlternative medicineCartographyPathology

Abstract

fetched live from OpenAlex

PURPOSE: To compare the original and reduced versions of the Berg Balance Scale (BBS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), as completed by patients following total hip arthroplasty (THA) or total knee arthroplasty (TKA), with respect to their potential utility in clinical and research settings. METHOD: Patients with THA (n=26) or TKA (n=28) were evaluated before and after 5 to 7 weeks' participation in a home-based exercise programme. They were assessed using the original versions of the BBS and the WOMAC; scores for the reduced versions of the BBS and the WOMAC were extracted from the original versions. RESULTS: Good to excellent correlations (r≥0.80) were observed between the original and the reduced versions of the BBS and the WOMAC. The index of responsiveness, evaluated using standardized response means (SRM), was similar for the original and the reduced versions of the BBS and the WOMAC function sub-scale. CONCLUSIONS: The reduced versions of the BBS and the WOMAC provided similar information to the original versions and were equally responsive. These reduced versions comprise fewer questions and may be completed in considerably less time, which suggests that they may be advantageous for clinical and research use.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.238
Teacher spread0.232 · 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".

Quick stats

Citations25
Published2010
Admission routes3
Has abstractyes

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