Bibliographic record
Abstract
PURPOSE OF REVIEW: Although the remarkable efficacy of biological therapy has resulted in significant success in rheumatic disease management, susceptibility to infections remains a concern. Here we review the latest publications on infectious complications of biological therapy in rheumatic diseases. RECENT FINDINGS: The recent data on anti-tumor necrosis factor agents show encouraging results in relation to infections. The majority of the infections are minor, and opportunistic infections including tuberculosis are rare. The incidence of infections decreases with time on biologic therapy. Vaccination is effective while on biological agents, although live vaccines should be avoided. Biologic therapy in the setting of HIV, HCV and HBV continues to be studied, but data are accumulating in support of a favorable safety profile. There are degrees of differential susceptibility to infection across the rheumatic diseases, which should be taken into account in weighing the infectious risks of biologics in the respective diseases. SUMMARY: Biological medications have a favorable safety profile but continued vigilance is appropriate. Most infectious reported episodes are minor and the risk of infection appears to decrease with duration of treatment.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".