Revisiting intraperitoneal chemotherapy for advanced high‐grade serous ovarian cancer
Bibliographic record
Abstract
OBJECTIVE: To compare overall survival (OS) in patients with high-grade serous ovarian cancer (HGSOC) treated with intraperitoneal (IP) chemotherapy versus intravenous (IV) chemotherapy. METHODS: A retrospective study of Stage III HGSOC with optimal primary cytoreduction during 2007-2019, followed by adjuvant IP or IV chemotherapy. RESULTS: Overall, 54 patients were included, 23 (43%) treated by IP and 31 (57%) by IV chemotherapy. Median progression-free survival (PFS) in the IP group was 39 months (95% confidence interval [CI] 34-44 months) versus 23 months (95% CI 18-28 months) in the IV group (P = 0.294). The IP chemotherapy had superior OS compared with IV chemotherapy, with median OS not reached, versus 76 months (95% CI 37-115 months) for the IV group (P = 0.075, hazard ratio 0.45, 95% CI 0.18-1.10). At 72 months, OS was 82% for the IP group versus 53% in the IV group. In a sensitivity analysis for Stage IIIc patients only (n = 39), the median OS was 130 months (95% CI 86-174 months) in the IP group, compared with 56 months (95% CI 35-76 months) for the IV group (P = 0.152). Toxicity profiles were similar in both groups, with no Grade ≥3 toxicity. CONCLUSION: Stage III HGSOC patients treated with IP chemotherapy had significantly longer OS.
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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 | 0.002 |
| 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 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".