The Association of Recently Diagnosed Diabetes and Long-term Diabetes With Survival in Pancreatic Cancer Patients
Bibliographic record
Abstract
OBJECTIVES: It is unclear whether long-standing diabetes or new-onset pancreatogenic diabetes contributes to poor prognosis in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS: We investigated the influence of diabetes diagnosed shortly before PDAC and long-term diabetes on overall survival in 2792 PDAC patients who had participated in 3 PDAC case-control studies in the Pancreatic Cancer Case-Control Consortium. There were 300 patients with long-term diabetes of more than 3 years' duration (11%) and 418 patients with recently diagnosed diabetes of 3-year duration or less (15%). We performed Cox regression to determine the association of long-term diabetes and recently diagnosed diabetes with overall survival, adjusting for study site, age, sex, race, stage of disease, surgery, chemotherapy, smoking history, and body mass index at diagnosis. RESULTS: In the overall population, neither long-term diabetes (hazard ratio [HR], 1.10; 95% confidence interval [CI], 0.97-1.26) nor recently diagnosed diabetes (HR, 1.06; 95% CI, 0.94-1.18) was associated with shorter survival. When stratified by stage of disease, long-term diabetes was associated with 42% increase in rate of death in persons with resectable PDAC (HR, 1.42; 95% CI, 1.13-1.78), whereas it was not associated with survival in PDAC patients with more advanced disease. CONCLUSION: Long-term diabetes was associated with increased rate of death in patients with resectable PDAC.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".