Effects of statin, aspirin, or metformin use on recurrence free and overall survival in patients with biliary tract cancer (BTC).
Bibliographic record
Abstract
303 Background: BTCs include intrahepatic (IHC), hilar, distal bile duct (DBD), and gallbladder carcinoma (GBC). Statins, aspirin and metformin may have antineoplastic properties. The impact of their use on overall survival and the recurrence free survival of patients who had curative resection of BTC has not been evaluated. Methods: Baseline demographics and use of statins, aspirin or metformin at diagnosis were evaluated in 913 patients with BTC from 01/87 - 07/13 treated at Princess Margaret Cancer Center, Toronto. Their prognostic significance for recurrence free and overall survival was determined using a Cox proportional hazards model. Results: The median age at diagnosis for the entire cohort was 65.7 years (range 23.7-93.7). 795 patients had a performance status < 2 and 461 (50.5%) were male. The primary site was GBC in 310 (34%) patients, DBD in 212 (23%), IHC in 200 (22%) and hilar in 191 (21%). Curative surgical resection was performed in 355 (39%) patients. Among the entire cohort of 913 patients, 151 (16.5%) reported statin use at diagnosis. Atorvastatin was the statin used in 55% of patients. 146 (16%) reported aspirin use and 81 (9%) reported metformin use at diagnosis. Age (p=0.05, p<0.01), and stage (p<0.001, p<0.001) were prognostic on multivariable analysis for recurrence free and overall survival respectively. GBC (p=0.01), DBD (p<0.01) primary and performance status ≥ 2 (p < 0.0001) were also prognostic for overall survival. Recurrence free and overall survival among statin users and nonusers was similar (Hazard Ratio (HR) 1.07, 95% confidence interval (CI) 0.78-1.48, p=0.68) and (HR 0.84 (95% CI 0.67-1.05, p=0.12) respectively. Recurrence free and overall survival among aspirin users and nonusers was similar (HR 0.91, 95% CI 0.64-1.29, P=0.58) and (HR 0.98 (95% CI 0.80-1.22, P=0.88) respectively. Recurrence free and overall survival among metformin users and nonusers was also similar (HR 0.71, 95% CI 0.43-1.17, p=0.18) and (HR 0.81 (95% CI 0.60-1.08, p=0.14) respectively. Conclusions: In this large retrospective cohort of BTC patients, statin, aspirin or metformin use was not associated with improved recurrence free or overall survival.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".