The TALAPRO-3 study design: a plain language summary
Bibliographic record
Abstract
SummaryWhat is this summary about? This summary is about the ongoing research study called TALAPRO-3. This study is testing the use of two medicines called talazoparib and enzalutamide. The two medicines are being used together as a treatment for patients with a type of cancer called metastatic castration-sensitive prostate cancer and changes in specific DNA repair genes within their tumors. The study began in May 2021, and includes 599 patients from 27 countries.What is metastatic castration-sensitive prostate cancer? Metastatic castration-sensitive prostate cancer is known as mCSPC for short. It is cancer that has started in the prostate and spread to other body parts. The prostate is a gland below the bladder and helps make semen (the liquid that contains sperm). Castration-sensitive means that the cancer responds to treatments that lower testosterone in the blood.Which medicines are being tested? In this study, some patients will take talazoparib plus enzalutamide while others will take a placebo plus enzalutamide. Talazoparib and enzalutamide are two different cancer medicines. Talazoparib is not currently used to treat patients with mCSPC. Enzalutamide is used to treat patients with prostate cancer. Talazoparib plus enzalutamide is being compared with a placebo plus enzalutamide to see if patients live longer without their cancer getting worse, or them dying, when taking talazoparib plus enzalutamide or when taking a placebo plus enzalutamide.What are the aims of the TALAPRO-3 study? This study aims to find out if treatment with talazoparib plus enzalutamide increases the length of time the patients in the study live without their cancer getting worse, or them dying, compared with treatment with a placebo plus enzalutamide. The study will also measure how long the patients in the study live, the number and types of side effects they have, their general health and quality of life, and whether there are changes in how patients report their pain.Clinical Trial Registration: NCT03395197 (TALAPRO-2) (ClinicalTrials.gov)
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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 | 0.079 | 0.123 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.081 | 0.016 |
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".