Calcium Channel Blocker Use and the Risk for Prostate Cancer: A Population‐Based Nested Case‐Control Study
Bibliographic record
Abstract
INTRODUCTION: Calcium channels play a significant role in the regulation of cell proliferation and apoptosis. This study investigates associations between calcium channel blocker (CCB) use and the incidence of prostate cancer (PCa). METHODS: A nested case-control study was conducted using the Clalit Health Services database. We formed a population-based cohort of patients who were prescribed their first antihypertensive agent between 2000 and 2014. For each newly diagnosed PCa case in the cohort, 10 controls were matched by age, calendar year of cohort entry, and duration of follow-up. Multivariate conditional logistic regression analyses were used to evaluate the odds ratios (ORs) of PCa among CCB users compared with users of other antihypertensive drugs. RESULTS: We identified 4346 patients with newly diagnosed PCa during the median follow-up of 5.3 years. The exposure to CCBs was associated with a slight increase in risk for PCa (OR 1.10, 95% confidence interval [CI] 1.02-1.18) when compared with non-CCB antihypertensive drugs. In secondary analyses, evidence was found of a duration-response relationship, with the association for PCa increasing by 27% for every 10-year increment of CCB use (OR 1.27, 95% CI 1.04-1.56). CONCLUSIONS: The results of this large population-based study indicate a modest but significant increase in the risk of PCa among CCB users, and the risk increases with duration of use.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".