Patient-reported outcomes (PROs) in patients (pts) with primary advanced or recurrent endometrial cancer (pA/rEC) treated with dostarlimab (D) plus carboplatin/paclitaxel (CP) compared with CP in the ENGOT-EN6/GOG3031/RUBY trial.
Bibliographic record
Abstract
332 Background: In RUBY (NCT03981796), a phase 3, global, randomized, double-blind trial, D+CP demonstrated significant and clinically meaningful improvement in PFS vs placebo + CP (P+CP) in pA/rEC. Methods: 494 pts with pA/rEC were randomized 1:1 to D+CP or P+CP Q3W for 6 cycles (C), followed by D or placebo monotherapy Q6W for ≤2 y. EORTC QLQ-C30 and EN24 (prespecified secondary endpoints) were administered on day 1 of each C, at end of treatment (EOT), and at safety and survival follow-ups. Change (chg) from baseline (BL) to C7 (end of chemotherapy) and C13 (1 y) was calculated in the overall and mismatch repair–deficient (dMMR)/microsatellite instability–high (MSI-H) populations. Least-squares means (LSM) were generated using mixed models for repeated measures, adjusting for correlations across multiple assessments within a pt and controlling for BL global, pain, fatigue, and physical function (PF) scores. Results: In the overall population, PROs were similar with D+CP and P+CP through C7, and no differences between arms across the 3-y period were reported; mean chg from BL to EOT showed numerical improvement with D+CP in back/pelvic pain and deterioration with P+CP in global QOL/GHS, social function (SF), body image, and chg in taste. In the dMMR/MSI-H population, at C7, nominally significant improvements in QOL, PF, role function (RF), pain, and back/pelvic pain were seen with D+CP vs P+CP (Table). Conclusions: Dostarlimab+CP significantly improved PFS and maintained HRQOL in dMMR/MSI-H and overall populations, further supporting its use as a standard of care in pA/rEC. Clinical trial information: NCT03981796 .[Table: see text]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".