Cardiovascular morbidity in a randomized trial comparing GnRH-agonist and antagonist among patients with advanced prostate cancer.
Bibliographic record
Abstract
5015 Background: Androgen-deprivation therapy (ADT) used in prostate-cancer may increase risk of cardiovascular disease (CVD). Limited preclinical and retrospective clinical data suggest that use of gonadotrophin-releasing hormone (GnRH)-antagonist may be associated with lower risk of CVD compared to GnRH-agonist. Methods: We conducted a randomized open-label study comparing the one year incidence of major cardiovascular and cerebrovascular event (MACCE) in prostate-cancer patients with pre-existing CVD commencing on GnRH-agonists or antagonists. Patients were followed every 3 months for the development of MACCE defined as either death, myocardial infarction (MI), cerebrovascular event (CVA), or percutaneous-coronary intervention (PCI). Serum levels of N-terminal pro-B-type natriuretic peptide (NTproBNP) were analyzed at baseline, 3, 6 and 12-months. Results: Eighty patients were enrolled (41 randomized to GnRH-antagonist, 39 to GnRH-agonist). Patients in both arms had similar age, baseline cardiovascular and prostate-cancer characteristics. During follow-up 15 patients developed a new cardiovascular event. Of these, nine patients developed MACCE (two deaths, one MI, two CVAs, and four PCI). Twenty percent (n = 8) of patients randomized to GnRH-agonists had a MACCE compared to 3% (n = 1) randomized to antagonists (log-rank p = 0.013). The absolute risk reduction for MACCE at 12 months using GnRH-antagonist was 18% (95%CI 5-31). Baseline levels of NTproBNP predicted events (AUC = 0.73 95%CI 0.54-0.91 p = 0.03) and increased over time only among patients with CV events. Conclusions: This is the first prospective study to test cardiovascular outcome among prostate-cancer patients receiving ADT. We demonstrated that in patients with pre-existing CVD, GnRH-antagonists was associated with development of fewer cardiovascular events compared to GnRH-agonists. Clinical trial information: NCT02475057.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".