Patient reports of the frequency and severity of adverse reactions associated with biological agents prescribed for psoriasis in Brazil
Bibliographic record
Abstract
BACKGROUND: The safety of biological agents used to treat psoriasis remains uncertain. OBJECTIVE: The authors determined the frequency and severity of adverse effects associated with use of biologic agents for psoriasis through patient-registered lawsuits to the government of Sao Paulo, Brazil. METHODS: Sources of information included legal records, dispensing pharmacy data and interviews with patients. Research staff conducted telephone interviews with patients who used biologic drugs during 2004 - 2011, inquiring about medication-related adverse drug reactions (ADRs) and serious adverse events (SAEs). RESULTS: Of the 218 patients identified, 15 proved ineligible or refused participation. 203 patients were interviewed, with 111 (54.7%) taking infliximab, 43 (21.2%) efalizumab, 35 (17.2%) etanercept and 14 (6.9%) adalimumab. Of 84 (41.4%) patients who experienced one or more ADR related to biological agents, 57 (67.9%) experienced one or more SAE. The only risk factor associated with ADRs was comorbidity odds ratio = 6.54 (95% confident interval [CI] 3.20 - 13.32), p < 0.0001. CONCLUSION: Biologic agents were associated with high rates of ADRs and SAEs. The data suggests that for patients taking a biologic agent to treat psoriasis and who have one or more comorbidities, warnings of possible adverse events and enhanced surveillance are warranted.
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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".