Isotretinoin and the Risk of Cardiovascular, Cerebrovascular and Thromboembolic Disorders
Bibliographic record
Abstract
BACKGROUND: Case reports suggest that isotretinoin use is associated with an increased risk of cardiovascular disorders; however, the clinical significance has not been determined. OBJECTIVE: To determine whether isotretinoin increases the risk of cardiovascular outcomes. METHODS: A case crossover study was performed among subjects who filled ≥1 isotretinoin prescription during 1984-2003. Cases were defined as those with a first-ever diagnosis or hospitalization for acute myocardial infarction (MI), stroke, phlebitis/thrombophlebitis, pulmonary embolism (PE) or thrombosis. Exposure to isotretinoin in a 5-month hazard period immediately prior to the index date (calendar date of the diagnosis or hospitalization for the study outcomes) was compared to a 5-month control period. Odds ratios (ORs) along with 95% confidence intervals (CIs) were estimated using conditional logistic regression. RESULTS: Of 30,496 isotretinoin users identified, 872 (3%) cases met the inclusion criteria; 381 (43.7%) had a stroke, 268 (30.7%) phlebitis/thrombophlebitis, 133 (15.3%) MI, 61 (7.0%) PE and 29 (3.3%) thrombosis. When stratified according to type of outcome, ORs were 0.75 (95% CI: 0.38-1.47), 1.31 (95% CI: 0.64-2.69) and 2.00 (95% CI: 0.50-8.00) for stroke, phlebitis/thrombophlebitis and MI, respectively. CONCLUSION: No statistically significant association was found between isotretinoin and cardiovascular, cerebrovascular and thromboembolic outcomes.
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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".