Statins are Associated with Reduced Overall and Cancer-Specific Mortality in Patients Undergoing Radical Cystectomy for Bladder Cancer
Bibliographic record
Abstract
BACKGROUND: Existing literature provides contrasting data on statin use and bladder cancer (BC) outcome. OBJECTIVE: We evaluated whether (chronic) statin use was associated with clinical outcomes in patients with BC undergoing radical cystectomy (RC). METHODS: Using provincial health administrative databases, we retrospectively identified BC patients undergoing RC in Quebec province in 2000-2015, and collected data from two years before RC until December 2016 or death. We compared patients who chronically used statins before RC to never statin users. Survival analyses were conducted using Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models. Covariates in multivariable analyses were age, sex, Charlson’s comorbidity index, year of RC, distance to hospital, hospital type, hospital’s and surgeon’s annual RC volume, and neoadjuvant chemotherapy. RESULTS: Our cohort contained 1406 chronic and 1754 never statin users. Five-year overall, BC-specific and recurrence-free survival rates were 40.5% (95% confidence interval (95% CI) 37.8–43.2%), 52.8% (95% CI 49.8–55.7%), and 50.1% (95% CI 47.2–53.0%) for chronic statin users, versus 34.9% (95% CI 32.5–37.2%), 45.5% (95% CI 42.9–48.1%), and 43.4% (95% CI 40.9–45.9%) for never statin users ( p≤0.001). In multivariable analyses, hazard ratios (HR) for death, BC-specific deaths and recurrences were 0.83 (95% CI 0.75–0.91), 0.81 (95% CI 0.72–0.91), and 0.83 (95% CI 0.74–0.93) for chronic statin users, respectively. Similar observations were made in patients with diabetes and/or cardiovascular comorbidities ( p≤0.001). Clinical outcome was not improved in patients who started statins in the year following surgery compared to never statin users ( p > 0.4). CONCLUSIONS: Chronic statin use is associated with improved clinical outcome in BC patients undergoing RC in Quebec.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".