Disparities in diabetes-related outcomes in prostate cancer patients - role of social determinants of health and race
Bibliographic record
Abstract
Abstract Background Prostate cancer (PC) patients on androgen deprivation therapy (ADT) with diabetes mellitus (DM) are at increased risk of cardiovascular events (CVE) and all-cause mortality (ACM), with metformin use linked to lower ACM. Purpose To analyze the impact of low socioeconomic status (SES), low educational levels, and Non-Hispanic Black (NHB) race on the relationship between DM, and its treatments, and CVE, cardiovascular mortality (CVm), prostate cancer-specific mortality (PCsm), and ACM within 2 years of PC diagnosis in patients ± ADT. Methods We utilized SEER-Medicare (national database for individuals 65 or older covered under US federal health insurance program merged with multiple state cancer registries with ~50% US cancers covered) to study a cohort of PC patients diagnosed from 2009 to 2017, identifying PC cases with ICD-10 - C61 and DM via the Medicare chronic condition file. CVE included Afib, AMI, peripheral artery disease, ischemic stroke, and heart failure. Two patient cohorts were analyzed: those enrolled in Medicare Parts A and B with PC (cohort 1), and those exclusively on ADT (± diabetic medications) and enrolled in Medicare Part D (cohort 2). Outcomes were evaluated using Fine-Gray and Cox models, with further analysis by subgroups: NHB, SES, and education. Results We analyzed 74,052 PC patients, with 6,682 having comprehensive Part D data. Of these, 35% in cohort 1 and 16% in cohort 2 had DM, with median ages of 73 and 72, respectively. Diabetes was more prevalent among NHB men than Non-Hispanic White (NHW), 49% vs 33% in cohort 1 and 25% vs 15% in cohort 2. In cohort 1, 9% and 8.5% of overall and DM individuals were on ADT. Risk factor details are in Table 1, and CVE, CVm, PCsm, and ACM are included in Table 2, showing higher risks of various cardiovascular outcomes for DM patients, particularly for those with low-education levels. In cohort 1, we demonstrated a higher risk of all outcomes across all subgroups with DM (p<0.001). No significant interaction with race was present except in those with lower education levels, where NHW men with lower education showed an increased risk of CVE (sHR 1.15, 95%CI 1.10-1.21, P<0.001). In cohort 2, compared to metformin, the use of all other DM medications was associated with higher ACM. Additionally, those on other DM medications with lower education levels had higher CVE rates. Non-DM individuals with low SES had lower CVE rates, while NHB non-DM individuals had higher PCsm. Conclusion Our study highlights disparities in PC patients with DM in relation to cardiovascular and ACM, with NHB men and those with lower SES and educational status having worse outcomes. Metformin use in patients with low education levels was associated with reduced ACM and CVE risk, indicating its potential protective effect. These findings emphasize the need for further research on the disparities in PC and effects of diabetes medications across different subpopulations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".