Sex differences in adverse drug reactions from Adalimumab and etanercept in patients with inflammatory rheumatic diseases
Bibliographic record
Abstract
BACKGROUND: We examine sex differences in relation to the nature, frequency, and burden of patient-reported adverse drug reactions (ADRs) in patients with inflammatory rheumatic diseases. RESEARCH DESIGN AND METHODS: Rheumatoid arthritis, psoriatic arthritis, or axial spondyloarthritis patients using etanercept or adalimumab from the Dutch Biologic Monitor were sent bimonthly questionnaires concerning experienced ADRs. Sex differences in the proportion and nature of reported ADRs were assessed. Additionally, 5-point Likert-type scales reported for the burden of ADRs, were compared between sexes. RESULTS: In total 748 consecutive patients were included (59% female). From the women 55% reported ≥1 ADR, which was significantly higher than 38% of the men that reported ≥1 ADR (p < 0.001). A total of 882 ADRs were reported comprising 264 distinct ADRs. The nature of the reported ADRs differed significantly between both sexes (p = 0.02). Women in particular reported more injection site reactions than men. The burden of ADRs was similar between sexes. CONCLUSIONS: Sex differences in the frequency and nature of ADRs, but not in ADR burden, exist during treatment with adalimumab and etanercept in patients with inflammatory rheumatic diseases. This should be taken into consideration when investigating and reporting results on ADRs and when counseling patients in daily clinical practice.
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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 | 0.000 |
| 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".