Increased Surgeon Experience With Rheumatoid Arthritis Reduces the Risk of Complications Following Total Joint Arthroplasty
Bibliographic record
Abstract
OBJECTIVE: To determine the relationship between surgeon experience with, and complications following, total joint arthroplasty (TJA) in patients with rheumatoid arthritis (RA). METHODS: Using administrative data, we assembled a cohort of patients with RA who had undergone at least 1 elective primary hip or knee replacement procedure between 2002 and 2009. Cox proportional hazards, censored on death and accounting for clustering of patients within surgeons, were used to determine the relationship between overall and "RA-specific" surgeon TJA volume and the occurrence of a composite "complication" outcome (revision, infection, dislocation, or periprosthetic fracture within 2 years of the initial TJA), controlling for potential confounders (patient age, sex, comorbidity, and disease severity). RESULTS: We identified 4,762 patients with RA who were eligible for TJAs (1,515 total hip arthroplasties and 3,247 total knee arthroplasties). Among these patients, 152 (3.2%) experienced a surgical complication within 2 years of the procedure. After controlling for patient and hospital factors, greater surgeon TJA volume in patients with RA (RA TJA), but not overall TJA volume (all TJA), was associated with a reduced risk of complications (for surgeon RA TJA volume per 10 cases, adjusted hazard ratio [HR] 0.81, 95% confidence interval [95% CI] 0.71-0.93, P = 0.002; for surgeon all TJA volume, adjusted HR 0.98, 95% CI 0.97-1.00, P = 0.09). CONCLUSION: In a cohort of patients with RA who underwent hip or knee TJA, increased surgeon experience performing TJA in patients with RA, irrespective of their overall TJA experience and hospital factors, was associated with a decreased risk of surgical complications. These findings have potential implications for surgeon training and the referral practices of rheumatologists.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".