Work disability rates in RA. Results from an inception cohort with 24 years follow-up
Bibliographic record
Abstract
OBJECTIVE: To explore rates of and reasons for work disability in an early RA cohort with median 10 years follow-up. METHODS: One thousand four hundred and sixty patients with early RA (<2 years symptom duration) and no prior DMARD therapy were recruited from nine rheumatology outpatient departments across the UK between 1986 and 1998. Standard clinical, laboratory and radiological assessments were recorded at 6-monthly and yearly intervals. Assessment of employment included details of type and hours of paid work. The main outcomes investigated were rates of and main reasons for work cessation, analysed by age of onset of RA (<45, 45-60 years) and year of recruitment to the study (before or after 1992). RESULTS: Maximum follow-up was 24 years, median 10 years. Of 647 patients in paid work at baseline, the majority were <60 years old (91%). The estimated probability of stopping work due to RA was highest in patients with older age of onset (45-60 years) who were recruited before 1992, but improved in those recruited from 1992 to 1998 (P < 0.01). There was no difference seen over the study recruitment years in younger age of onset patients. CONCLUSION: Work loss related to RA occurred much earlier than for other reasons, especially in the first 5 years of RA, but improved in the later recruitment period. Work disability is multifactorial, and the gradual changes in therapies used over time in this cohort may be one explanation for the secular differences seen.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".