SF-36 Mental Component Summary (MCS) Score Does Not Predict Functional Outcome After Surgery for End-Stage Ankle Arthritis
Bibliographic record
Abstract
BACKGROUND: Mental health status has been shown to influence functional outcome in a number of orthopaedic disorders. The purpose of this retrospective cohort study was to assess whether a diminished baseline Mental Component Summary (MCS) score on the Short Form-36 (SF-36) is predictive of less improvement in the Ankle Osteoarthritis Scale (AOS) score at the time of midterm follow-up after arthroplasty or arthrodesis for end-stage ankle arthritis. METHODS: Preoperative and postoperative patient scores on the SF-36 MCS and AOS questionnaires were obtained from the Canadian Orthopaedic Foot and Ankle Society (COFAS) End-Stage Ankle Arthritis Database. The relationship between the preoperative MCS score and the change in the total AOS score at the time of final follow-up was summarized with use of a Pearson correlation coefficient (r). Subgroup analyses according to the type of treatment (ankle arthrodesis versus ankle arthroplasty) and preoperative MCS score (<50 versus ≥50) were conducted. RESULTS: Of an initial 372 ankles enrolled, 337 (91%, ninety-five arthrodeses and 242 arthroplasties) were reviewed after a mean duration of follow-up of 5.2 ± 1.3 years. Analysis revealed no correlation between the preoperative MCS score and the change in the AOS score, from the preoperative baseline to either a mean 5.2 years postoperatively or two years postoperatively (r < 0.1 in both analyses). There was no difference in the change in the AOS score between patients with a preoperative MCS score of <50 and those with a preoperative MCS score of ≥50. CONCLUSIONS: In our study of patients with end-stage ankle arthritis treated with arthroplasty or arthrodesis, preoperative mental health status (as measured with the MCS score) did not predict functional outcome (as measured by the change in the AOS score) at the time of intermediate-term postoperative follow-up. AOS scores improved for all patients, regardless of the preoperative MCS score.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".