Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer: From Concept to Reality
Open accessAbstract
Research progress in diseases of the exocrine pancreas [chronic pancreatitis (CP), pancreatogenic diabetes mellitus, and pancreatic cancer] has been hampered by the disorders' heterogeneity, the limitations of previous small cross-sectional studies, the inability to safely obtain pancreatic tissue for study, and the lack of structured epidemiology tools, genetic testing, and biomarker development. Mechanism-based research of these diseases has suffered from the lack of systematically collected clinical measures in longitudinal cohort studies linked with biospecimens. Given the increasing incidence and prevalence of CP and its association to the development of pancreatic cancer, its complications, high mortality rate, and associated health care cost, the National Institute for Diabetes and Digestive and Kidney Diseases and the National Cancer Institute funded the Consortium for the Study of Chronic Pancreatitis, Diabetes and Pancreatic Cancer to identify research gaps and foster multidisciplinary collaborations to better diagnose, characterize, and manage CP and its sequelae. The CPDPC structure, governance, and research objectives are described in this article. Studies undertaken by the CPDPC are described in other articles in this journal's issue.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several studies have shown that early detection of PDAC improves outcome.
“Several studies have shown that early detection of PDAC improves outcome.”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [166]
In “What Led to Creation of CPDPC?” (page not provided), the paper calls early identification of pancreatic cancer at a treatable stage a critical goal. It does not report several studies showing that early detection improves outcomes, so the claim states the evidence more strongly than this source does. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe size of the lesion at the time of surgery is a predictor of long-term survival.
“Furthermore, the size of the lesion at the time of surgery is a predictor of long-term survival.3,166,167”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [166]
The paper’s “What Led to Creation of CPDPC?” section discusses pancreatic-cancer mortality and early detection, but not lesion size at surgery as a predictor of long-term survival. Searches for that claim and for tumor size, resection, and postoperative prognosis found no passage addressing the proposed relationship. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Siegel, R., Ma, J., Zou, Z., & Jemal, A. (2014) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21208 · Cited by 11,499 · see citing works
Rahib, L., Smith, B. D., Aizenberg, R., Rosenzweig, A. B., Fleshman, J. M., & Matrisian, L. M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0155 · Cited by 7,094 · see citing works
The Epidemiology of Pancreatitis and Pancreatic Cancer
Yadav, D., & Lowenfels, A. B. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.01.068 · Cited by 1,974 · see citing works
Pancreatic cancer in chronic pancreatitis; aetiology, incidence, and early detection
Raimondi, S., Lowenfels, A. B., Morselli‐Labate, A. M., Maisonneuve, P., & Pezzilli, R. (2010) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2010.02.007 · Cited by 624 · see citing works
Risk factors for diabetes mellitus in chronic pancreatitis
Malka, D., Hammel, P. R., Sauvanet, A., et al. (2000) · Gastroenterology · doi:10.1053/gast.2000.19286 · Cited by 326 · see citing works
Whitlock, T. L., Tignor, A. S., Webster, E., Repas, K. A., Conwell, D. L., Banks, P. A., & Wu, B. U. (2010) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2010.08.017 · Cited by 52 · see citing works
Advances in Acute and Chronic Pancreatitis: From Development to Inflammation and Repair
di Magliano, M. P., Forsmark, C. E., Freedman, S. D., Hebrok, M., Pasricha, P. J., Saluja, A. K., Stanger, B. Z., Holt, J., Serrano, J., James, S. P., et al. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.11.018 · Cited by 17 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [6]Andersen DK, Andren-Sandberg Å, Duell EJ, Pancreatitis-diabetes-pancreatic cancer: summary of an NIDDK-NCI workshop. Pancreas. 2013; 42: 1227– 1237. 24152948 PMC3878448
Cited by
Sorted by citations
Early detection of pancreatic cancer
Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30416-9 · Cited by 482 · see citing works
Self-citationArtificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
Kenner, B., Chari, S. T., Kelsen, D., Klimstra, D. S., Pandol, S. J., Rosenthal, M., Rustgi, A. K., Taylor, J. A., Yala, A., Abul-Husn, N., et al. (2021) · Pancreas · doi:10.1097/mpa.0000000000001762 · Cited by 158 · see citing works
Self-citation
- Authors
- Serrano, J., Andersen, D. K., Forsmark, C. E., Pandol, S. J., Feng, Z., Srivastava, S., & Rinaudo, J. A. S.
- Affiliations
- Division of Digestive Diseases and Nutrition, National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD;
- National Institutes of Health (US)
- University of Florida Health (US)
- Cedars-Sinai Medical Center (US)
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Andersen, Dana K.
- Venue
- Pancreas
- Published
- 2018-11
- Volume
- 47
- Issue
- 10
- Pages
- 1208-1212
- ISSN
- 0885-3177 (ISSN-L)
- 1536-4828
- PMC
- PMC6195329
- OpenAlex
- W2896684572
- Cited by
- 57
- References
- 7
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 8 · 2023: 6 · 2022: 10 · 2021: 10 · 2020: 4 · 2019: 3 · 2018: 4
- FWCI
- 5.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Pancreas (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (Z99 DK999999)
- National Institute on Alcohol Abuse and Alcoholism (P50AA011999)
- National Cancer Institute (P01CA163200)
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK108327, U01DK108326, U01DK108320, U01DK108332, U01DK108300, U01DK108306, U01DK108323, U01DK108314, U01DK108328, U01DK108334, U01DK108288, P01DK098108)
- Topics
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Rheumatology › IgG4-Related and Inflammatory Diseases
- Keywords
- chronic pancreatitis, pancreatic cancer, research consortium, multidisciplinary collaboration, disease heterogeneity, pancreatic tissue, biomarkers, genetic testing, biological specimen, longitudinal cohort, research gaps
- MeSH terms
- Diabetes Mellitus, Humans, Pancreatic Neoplasms, United States, Interdisciplinary Communication, Biomedical Research, Pancreatitis, Chronic, National Cancer Institute (U.S.), National Institute of Diabetes and Digestive and Kidney Diseases (U.S.)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
