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Record W1575097324

Validation for the reduced Western Ontario McMaster Universities Osteoarthritis Index function scale

2008· article· en· W1575097324 on OpenAlexaboutno aff
Sarah L. Whitehouse, Ian D. Learmonth, Ross Crawford

Bibliographic record

VenueFaculty of Built Environment and Engineering; Institute of Health and Biomedical Innovation · 2008
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMissing dataWOMACRepeatabilityStatisticsScale (ratio)MedicineProtocol (science)MathematicsPhysical therapyOsteoarthritisGeography
DOInot available

Abstract

fetched live from OpenAlex

Aim The reduced WOMAC function scale has been developed and initial validity performed. However, further validation and recommendations for the treatment of missing values are required Method A cross-over study of 100 pre-operative TKA patients was performed for further validation. Repeatability testing was performed for full and reduced WOMAC scores. Missing value protocols were developed, examining number of valid responses, means and SDs. Results Cross-over: There was no significant difference between full and reduced scales. Test-retest: There was no significant difference between scores for either the full or reduced scales. Missing values: The frequencies of valid responses, means and SDs when using different missing value protocols (none missing, 0-1, upto 2 and upto 3 missing), indicated that the 1 or 2 missing protocol was optimal. Conclusions The reduced WOMAC function scale has been further validated. It is proposed that where 1 or 2 items are missing, the average value for the sub-scale is substituted in lieu of these missing values.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.061
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.029
GPT teacher head0.245
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueFaculty of Built Environment and Engineering; Institute of Health and Biomedical Innovation→Same topicOsteoarthritis Treatment and Mechanisms→French-language works237,207→