TURALIO <sup>®</sup> Risk Evaluation and Mitigation Strategy Program (tREMS): 3-year retrospective hepatic safety assessment
Bibliographic record
Abstract
Aim: Hepatic safety data assessment from the TURALIO® (pexidartinib) Risk Evaluation and Mitigation Strategy (tREMS) Program. Methods: Retrospective 3-year assessment (August 2019 to June 2022) of hepatic events from the TURALIO® (pexidartinib) Risk Evaluation and Mitigation Strategy Program. Results: A total of 451 patients, 369 prescribers, 2 wholesalers/distributors and 2 pharmacies were enrolled and certified. Twenty-one (4.7%) patients met the criteria for a hepatic adverse event or laboratory abnormality suggestive of serious and potentially fatal liver injury, all with onset within 2 months of therapy. No new hepatic safety signals were identified. Conclusion: Results are consistent with the phase 3 ENLIVEN trial data. Liver enzyme monitoring, combined with early intervention, including dose modification and discontinuation, conducted in patients treated with pexidartinib mitigate the risk of potential hepatotoxicity.
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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 | 0.001 | 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) | 0.001 | 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".