A plain language summary publication of patients’ survival with endometrial cancer treated with dostarlimab plus carboplatin-paclitaxel
Bibliographic record
Abstract
Summary What is the purpose of this PLS-P? The purpose of this plain language summary of publication is to help you understand recent findings from Part 1 of the RUBY study (full name ENGOT-EN6/GOG3031/RUBY trial). • Researchers sometimes study new combinations of already approved individual treatments to see if the combinations work well together and if they are safe to prescribe to patients. • In Part 1 of the RUBY study, the combination of dostarlimab with carboplatin-paclitaxel was investigated to see how well it worked for patients with primary advanced or recurrent endometrial cancer when compared with patients who were given placebo plus carboplatin-paclitaxel . • Patients in the RUBY study were divided into subgroups according to their biomarker status. This allowed researchers to see if biomarker status could help determine how well patients with specific biomarkers would respond to the combination of dostarlimab with carboplatin-paclitaxel. • This summary reports the results of the second data cut (the second time investigators looked at all of the data since the start of the study) of the RUBY study. At this time, researchers were looking specifically at how long patients lived and how safe the treatment was in patients who received dostarlimab with carboplatin-paclitaxel compared with those patients who received placebo plus carboplatin-paclitaxel .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.001 | 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".