Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis
Open accessAbstract
The survival duration for pancreatic cancer is short. Given its low lifetime risk (1.5%), established factors for the disease have insufficient specificity to identify individuals at high risk of nonfamilial cancer, and prediagnostic signs and symptoms are vague and not limited to pancreatic causes. We considered whether statistical models that incorporated both risk factors and prediagnosis symptomatology could improve prediction enough to provide practical risk estimates. We combined US Surveillance Epidemiology and End Results (SEER) incidence data from 2008 to 2010 with regression models from representative case-control data from Connecticut (2005-2009) to estimate age- and sex-specific 5-year absolute risks of pancreatic cancer diagnosis. Our risk model included current cigarette smoking (adjusted odds ratio (OR) = 3.3, 95% confidence interval (CI): 2.1, 5.0), current use of proton pump-inhibitor antiheartburn medications (OR = 6.2, 95% CI: 1.7, 23), recent diagnosis of diabetes mellitus (OR = 4.8, 95% CI: 2.2, 11), recent diagnosis of pancreatitis (OR = 19, 95% CI: 3.1, 120), Jewish ancestry (OR = 1.8, 95% CI: 1.1, 3.1), and ABO blood group other than O (OR = 1.3, 95% CI: 1.0, 1.8). In total, 0.87% of controls with combinations of these factors had estimated 5-year absolute risks greater than 5%, and for some, the risks reached more than 10%. Combining risk factors for pancreatic cancer with detectable prediagnostic symptomatology can allow investigators to begin to identify small segments of the population with risks sufficiently high enough to make screening efforts among them potentially useful.
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An artificial neural network model using US National Health Interview Survey and PLCO Trial data reached an AUC of 0.85 and included age, sex, race and ethnicity, diabetes, emphysema, asthma, stroke, cardiovascular diseases, ulcers, other cancer, hypertension, smoking status, physical activity, alcohol consumption, and family history of pancreatic ductal adenocarcinoma.
“This model reached an AUC of 0·85 and incorporated data on age, sex, race and ethnicity, diabetes, emphysema, asthma, stroke, cardiovascular diseases, ulcers, other cancer, hypertension, smoking status, physical activity, alcohol consumption, and family history of pancreatic ductal adenocarcinoma.”
From Early detection of pancreatic cancer (2020) · cites this paper as [111]
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Early detection of pancreatic cancer
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Self-citationSurveillance for neoplasia in the pancreas
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Prediction of Pancreatic Cancer Based on Imaging Features in Patients With Duct Abnormalities
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- Authors
- Risch, H. A., Yu, H., Lu, L., & Kidd, M. S.
- Affiliations
- Yale University (US)
- Corresponding author
- Risch, H. A.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-06
- Volume
- 182
- Issue
- 1
- Pages
- 26-34
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- PMC
- PMC4479115
- OpenAlex
- W2146731218
- Cited by
- 62
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 6 · 2022: 6 · 2021: 4 · 2020: 8 · 2019: 5 · 2018: 7 · 2017: 11 · 2016: 6 · 2015: 2
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01ca098870-06)
- National Cancer Institute (R01 CA098870, 5R01CA098870)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Keywords
- pancreatic cancer, absolute risk estimation, risk prediction model, cigarette smoking, proton pump inhibitors, diabetes mellitus, pancreatitis, Jewish ancestry, ABO blood group system, cancer screening
- MeSH terms
- Adult, Aged, Aged, 80 and over, Carcinoma, Connecticut, Humans, Middle Aged, Pancreatic Neoplasms, Models, Statistical, Case-Control Studies, SEER Program, Risk Assessment
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