Abstract 14915: Role of Diabetes and Diabetic Medication in Cardiovascular Events and Survival Among Older Men With Prostate Cancer on Androgen Deprivation Therapy: Longitudinal SEER Medicare Analysis
Bibliographic record
Abstract
Introduction: The effect of diabetes mellitus (DM) and DM therapy on cardiovascular events (CVE) in patients with prostate cancer (PC) undergoing androgen deprivation therapy (ADT) is unclear in the contemporary era. Methods: Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database, we identified males ≥ 66-year-old with a new primary diagnosis of PC undergoing leuprolide therapy (ADT) between 2009-2017. These patients were followed for two years to identify a primary outcome of CVE that included heart failure (HF), atrial fibrillation (AF), acute myocardial infarction (AMI), peripheral artery disease (PAD), coronary artery disease (CAD), ischemic stroke (IS) and cardiovascular death. DM medications identified using part D data for this analysis were metformin, insulin, and other orals based on FDA approval dates until 2017. Adjusted Cox proportional hazards modeling was performed to estimate all-cause mortality in PC patients stratified by DM and among those with DM and on different therapies. Adjusted Fine-Gray modeling with appropriate competing risk (mortality or type of mortality) was utilized for other outcomes as presented. We adjusted for demographic factors, social determinants of health, cancer-specific factors, and other cardiovascular risk factors apart from the primary exposure of DM. Results: This study included 9,072 PC patients. Among these 2,822 (31.1%) had DM, and 5,105 (56.3%) had cardiovascular disease prior to PC diagnosis. New CVE was diagnosed in 619 (6.8%; HF = 144, AF = 107, AMI = 40, PAD = 132, CAD = 226, IS = 66) patients in a 2-year period after the PC diagnosis. DM was noted to be a risk factor for CVE [adjusted subdistribution hazards ratio (aSHR) = 1.22 (95% CI= 1.07-1.44)]. The effect of DM and DM medication on mortality is presented in Table 1. Conclusion: PC patients on ADT with DM have a higher risk of CVE and all-cause mortality. Metformin use is associated with reduced all-cause mortality.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".