Recent Trends in Orthopedic Surgery Aiming to Improve Quality of Life for Those with Rheumatoid Arthritis: Data from a Large Observational Cohort
Bibliographic record
Abstract
OBJECTIVE: To describe current trends in the numbers of rheumatoid arthritis (RA)-related surgeries. METHODS: The number of operations was determined for patients with RA in a large observational cohort [Institute of Rheumatology, Rheumatoid Arthritis (IORRA)] enrolled from 2001 to 2012. RESULTS: The total number of operations peaked in 2002 and gradually decreased thereafter, but began to increase again in 2008. The number of total knee replacements has decreased since 2003, while the number of wrist and foot arthroplasties and the number of artificial finger prosthesis surgeries have increased gradually. CONCLUSION: Our results suggest that the number of orthopedic surgeries may change in response to changes in the drug therapy for RA.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".