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Record W2995200492 · doi:10.1055/s-0039-3401826

Is there a Threshold Preoperative WOMAC Score That Predicts Patient Satisfaction after Total Knee Arthroplasty?

2019· article· en· W2995200492 on OpenAlexaboutno aff
Nick D. Clement, David J. Weir, James Holland, David J. Deehan

Bibliographic record

VenueThe Journal of Knee Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACOsteoarthritisConfidence intervalReceiver operating characteristicPhysical therapyPatient satisfactionMinimal clinically important differenceTotal knee arthroplastyRetrospective cohort studyPatient-reported outcomeArthroplastyCohortQuality of life (healthcare)Area under the curveInternal medicineSurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

Abstract The aim of this study was to identify threshold preoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores that were predictive of patient dissatisfaction 1 year after total knee arthroplasty (TKA). A retrospective cohort of 3,324 patients undergoing a primary TKA was identified from an established arthroplasty database. Patient demographics, comorbidities, and the WOMAC score were collected preoperatively. Patient satisfaction was assessed at 1 year using four questions that focused on: overall outcome, activity, work, and pain. Receiver operating characteristic (ROC) curve analysis was used to identify threshold values predictive of dissatisfaction. The overall satisfaction rate at 1 year was 89.7% (n = 2982). Patients who were satisfied had a significantly greater preoperative pain (3.6, 95% confidence interval [CI] 1.6–5.6, p < 0.001) and functional (4.5, 95% CI 2.6–6.5, p < 0.001) component and total (4.2, 95% CI 2.3–6.0, p < 0.001) WOMAC scores compared with those who were dissatisfied. ROC curve analysis demonstrated the preoperative pain (p = 0.001) and functional (p < 0.001) components and total (p < 0.001) WOMAC scores were significant predictors of satisfaction. Patients scoring < 36 for the pain and function components and < 35 for the total WOMAC score were more likely to be dissatisfied with their overall outcome, but the area under the curves (AUCs) for these predictive threshold values were 0.56, 0.54, and 0.60, respectively, indicating poor prognostic value. A similar finding was observed for satisfaction with pain relief and ability to work and recreational activities; however, in addition the stiffness component was also a significant (p < 0.001) predictor with a threshold value of < 43. Again, these thresholds were of poor prognostic value with an AUC of less than 0.57 for all these satisfaction questions. Threshold values in the preoperative component and total WOMAC scores were not reliable prognostic indicators of overall patient satisfaction or for satisfaction with pain relief, ability to do work, or recreational activities after TKA.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.018
GPT teacher head0.234
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

Citations14
Published2019
Admission routes1
Has abstractyes

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