Clinical Calculator of Conditional Survival Estimates for Resected and Unresected Survivors of Pancreatic Cancer
Open accessAbstract
OBJECTIVE: To calculate conditional survival estimates for patients with pancreatic adenocarcinoma. DESIGN: We constructed separate multivariate survival models adjusted for 7 clinicopathologic factors for patients who did and did not undergo radical surgical resection. PARTICIPANTS: Patients with pancreatic adenocarcinoma diagnosed between 1988 and 2005 included in the Surveillance Epidemiology End Results cancer registry. MAIN OUTCOME MEASURE: Internet browser-based calculator to compute personalized survival estimates. RESULTS: Conditional survival probabilities increased over time for all patients with pancreatic cancer regardless of patient characteristics, disease stage, or treatment. For patients with resected stage I, II, or III disease, 3-year conditional cancer-specific survival increased from 38% to 70%, 19% to 54%, and 8% to 39%, respectively, over the 3 years following diagnosis. The relative improvement in survival over time was larger for patients with advanced disease. A customizable, Internet browser-based clinical calculator was implemented that may be used to compute in real time personalized conditional survival estimates based on an individual's unique clinicopathologic profile. CONCLUSIONS: Conditional survival estimates provide a more accurate--and typically more optimistic--assessment of prognosis for patients with pancreatic cancer than traditional survival estimates that apply only at the initial diagnosis.
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Surgical resection remains the only reasonable hope for cure from PDAC.
“Surgical resection remains the only reasonable hope for “cure” from PDAC.13,14”
From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [14]
The Discussion (page not available) says resection is associated with a subgroup of long-term survivors and that far fewer long-term survivors exist without it. It does not say resection is the only reasonable hope for cure; it also cautions that recurrence and cancer-specific death remain possible after resection. (LLM, conf=0.85)
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Artificial 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
Schwartz, N. R. M., Matrisian, L. M., Shrader, E. E., Feng, Z., Chari, S., & Roth, J. A. (2022) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2020.7798 · Cited by 43 · see citing works
- Authors
- Katz, M. H. G., Hu, C.-Y., Fleming, J. B., Pisters, P. W. T., Lee, J. E., & Chang, G. J.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Katz, Matthew H. G.
- Venue
- Archives of Surgery
- Publisher
- American Medical Association (AMA)
- Published
- 2012-06-01
- Volume
- 147
- Issue
- 6
- Pages
- 513-9
- ISSN
- 0004-0010 (ISSN-L)
- PMC
- PMC3740148
- OpenAlex
- W1974337685
- Cited by
- 59
- References
- 2
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 7 · 2012: 2
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Archives of Surgery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (K07CA133187)
- 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 ductal adenocarcinoma, pancreatic cancer prognosis, radical resection, cancer-specific survival, multivariate survival models, SEER database, disease stage, clinicopathological features
- MeSH terms
- Adenocarcinoma, Aged, Female, Humans, Male, Middle Aged, Neoplasm Staging, Pancreatectomy, Pancreatic Neoplasms, Prognosis, Multivariate Analysis, Pancreaticoduodenectomy, SEER Program, Kaplan-Meier Estimate
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