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Record W4234909321 · doi:10.1177/112070000801800207

Validation Study of a Finnish Version of the Western Ontario and McMasters University Osteoarthritis Index

2008· article· en· W4234909321 on OpenAlexaboutno aff
J.V. Soininen, P.O. Paavolainen, Mats Grönblad, Eeva Kääpä

Bibliographic record

VenueHip International · 2008
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisIndex (typography)Physical therapyGerontologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

The aim of the study was to validate a Finnish version of the internationally used Western Ontario and McMasters University osteoarthritis index (WOMAC) questionnaire, by testing its reliability validity and responsiveness. The subjects of the study were patients scheduled for elective total knee arthroplasty (TKA) or total hip arthroplasty (THA). The patients completed the WOMAC questionnaire twice prior to surgery and once postoperatively to enable reliability construct validity and responsiveness analysis. Test-retest reliability could be calculated for 67 patients (37 TKA and 30 THA). The intraclass correlation coefficients (ICCa) exceeded 0.9 with the exception of the stiffness subscale which averaged 0.8. Correlation of the preoperative WOMAC total score with the Harris Hip Score (HHS) in 30 patients and American Knee Society Score (AKSS) in 37 patients were mediocre ranging from 0.48 to 0.53. To test responsiveness, the first preoperative and the postoperative WOMAC scores of 74 subjects were compared (41 TKA and 33 THA). Standard response means (SRM) and effect sizes (ES) exceeded the recommended score of 0.8, ranging from 1.15 to 2.35. In conclusion the Finnish translation of the WOMAC questionnaire performs as the original, is valid and can be used in future studies of osteoarthritis.

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 score0.004
Threshold uncertainty score0.631

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 head0.016
GPT teacher head0.230
Teacher spread0.214 · 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

Citations55
Published2008
Admission routes1
Has abstractyes

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