Risk of Pancreatic Cancer and Precancerous Lesions in Patients With Chronic Pancreatitis
Bibliographic record
Abstract
INTRODUCTION: Pancreatic cancer (PC) is the third leading cause of cancer-related death in Canada. Risk factors for the development of PC are not well defined and there is limited data on the role of pancreatitis as a risk factor for PC. Here we aimed at evaluating this relationship in a meta-analysis. METHODS: A comprehensive search was performed by 2 reviewers using MEDLINE, EMBASE, CENTRAL, and Web of Science databases from inception to September 2024 for case-control studies reporting prevalence of acute or chronic pancreatitis in adult patients with PC or precancerous lesions, including pancreatic ductal adenocarcinomas (PDACs), intraductal papillary mucinous neoplasms (IPMNs), and others, as compared with controls. Data screening and extraction and risk of bias (using the ROBINS-E assessment tool) were performed independently by 2 authors. Outcomes of interest included the number of patients with a history of pancreatitis, characteristics of pancreatitis, treatments, complications, comorbidities, and prevalence of other cancers. Bayesian random effect meta-analysis was used to calculate hazard ratios for the development of PC in acute and chronic pancreatitis, along with their 95% CIs. RESULTS: A total of 28 studies included 432,588 patients: 59,151 cases of PC, 1201 cases of IPMN, and 372,236 controls. Risk of developing PC in patients previously diagnosed with acute or chronic pancreatitis was greater than those without (HR: 5.69, 95% CI: 4.41-7.36), with the risk from chronic pancreatitis (HR: 7.82, 95% CI: 5.25-11.65) being double that of acute pancreatitis (HR: 3.54, 95% CI: 1.84-6.80). Studies examining PDAC patients (n=8) presented similar findings (HR: 6.57, 95% CI: 5.31-8.14), although studies with IPMN patients (n=2) seemed to find a greater association (HR: 17.19, 95% CI: 8.83-33.46), but with limited study power and possible sampling bias. A total of 15 studies did not specify PC type but demonstrated a similar association (HR: 4.68, 95% CI: 2.75-7.94). Sensitivity analyses by age, gender, and risk of bias confirmed the results. Most studies were graded as "some concerns" when assessing for risk of bias, mainly due to unavailable protocols. CONCLUSIONS: This study showed a statistically significant increase in risk of developing PC in patients with a history of pancreatitis. Further cost-effective analyses may be required to determine the best screening modalities in this population.
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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 | 0.001 |
| 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".