The risk of herpes zoster in patients with rheumatoid arthritis in the United States and the United Kingdom
Bibliographic record
Abstract
OBJECTIVE: To determine whether the incidence of herpes zoster is elevated in patients with rheumatoid arthritis (RA) and whether herpes zoster is associated with use of disease-modifying antirheumatic drugs (DMARDs) in patients with RA. METHODS: Two retrospective cohort studies were conducted using data from a US integrated managed care database (PharMetrics claims database) from 1998-2002 and the UK General Practice Research Database (GPRD) between 1990-2001. Rates of herpes zoster among patients with RA and randomly sampled non-RA patients were compared. A nested case-control analysis was performed within each RA cohort to examine the effect of current treatment on herpes zoster risk. RESULTS: A total of 122,272 patients with RA from the PharMetrics database and 38,621 from the GPRD were included. The adjusted hazard ratios of herpes zoster for patients with RA compared with non-RA patients were 1.91 (95% confidence interval [95% CI] 1.80-2.03) in the PharMetrics database and 1.65 (95% CI 1.57-1.75) in the GPRD. In the PharMetrics database, current use of biologic DMARDs alone was associated with herpes zoster (odds ratio [OR] 1.54, 95% CI 1.04-2.29), as was current use of traditional DMARDs alone (OR 1.37, 95% CI 1.18-1.59). In the GPRD, current use of traditional DMARDs was associated with herpes zoster (OR 1.27, 95% CI 1.10-1.48). In both data sources, use of oral corticosteroids was associated with herpes zoster regardless of concomitant therapies. CONCLUSION: Data from 2 large databases suggested that patients with RA are at increased risk of herpes zoster. Among patients with RA, DMARDs and/or use of oral corticosteroids appeared to be associated with herpes zoster.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".