Adverse events (AEs) with maintenance olaparib in newly diagnosed patients (pts) with advanced ovarian cancer (OC) and a BRCA mutation (BRCAm): Phase III SOLO1 trial.
Bibliographic record
Abstract
5539 Background: In SOLO1 (NCT01844986), maintenance olaparib provided a substantial progression-free survival benefit vs placebo in newly diagnosed pts with advanced OC, a BRCAm and clinical complete or partial response to platinum therapy (HR 0.30; 95% CI 0.23–0.41) and was well tolerated (Moore et al. NEJM 2018). We analysed the most common AEs and hematologic AEs in SOLO1. Methods: Pts received olaparib tablets 300 mg twice daily or placebo until progression unless they had no evidence of disease at 2 years, in which case treatment stopped. AEs were graded using CTCAE v4.0. Results: Of 391 pts randomized, 390 (olaparib, 260; placebo, 130) were treated and included in the safety analysis. Median treatment duration was approximately 25 months for olaparib vs 14 for placebo. Median time to first onset of the most common AEs (nausea, vomiting, fatigue/asthenia, anemia) and neutropenia and thrombocytopenia was < 3 months; the first event lasted a median of < 2 months, apart from fatigue/asthenia, which lasted a median of < 4 months (Table). AEs were usually managed with supportive therapy and/or dose modification; few pts discontinued. Conclusions: AEs in newly diagnosed pts with advanced OC treated with olaparib usually occurred early and were manageable, with few discontinuations. Clinical trial information: NCT01844986. [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".