ArticleJournal of surgical oncology2023
Accuracy of models to prognosticate survival after surgery for pancreatic cancer in the era of neoadjuvant therapy.
Article in Journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Comparison of postoperative survival after neoadjuvant treatmentAnnals of surgical treatment and research · 2026Article
- Artificial Intelligence in Oncology: A Comprehensive Cross-Cancer Translational Readiness Analysis Across 18 Malignancies.Cancers · 2026Review
- Machine Learning to Predict Early Death Despite Pancreaticoduodenectomy.The Journal of surgical research · 2025Article
- Expert Judgment Supporting a Bayesian Network to Model the Survival of Pancreatic Cancer Patients.Cancers · 2025Article
- Improving patient stratification and selection for curative-intent treatment in localized pancreatic cancer.Hepatobiliary surgery and nutrition · 2024Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundOutcomes for pancreatic adenocarcinoma (PDAC) remain difficult to prognosticate. Multiple models attempt to predict survival following the resection of PDAC, but their utility in the neoadjuvant population is unknown. We aimed to assess their accuracy among patients that received neoadjuvant chemotherapy (NAC).
methodsWe performed a multi-institutional retrospective analysis of patients who received NAC and underwent resection of PDAC. Two prognostic systems were evaluated: the Memorial Sloan Kettering Cancer Center Pancreatic Adenocarcinoma Nomogram (MSKCCPAN) and the American Joint Committee on Cancer (AJCC) staging system. Discrimination between predicted and actual disease-specific survival was assessed using the Uno C-statistic and Kaplan-Meier method. Calibration of the MSKCCPAN was assessed using the Brier score.
resultsA total of 448 patients were included. There were 232 (51.8%) females, and the mean age was 64.1 years (±9.5). Most had AJCC Stage I or II disease (77.7%). For the MSKCCPAN, the Uno C-statistic at 12-, 24-, and 36-month time points was 0.62, 0.63, and 0.62, respectively. The AJCC system demonstrated similarly mediocre discrimination. The Brier score for the MSKCCPAN was 0.15 at 12 months, 0.26 at 24 months, and 0.30 at 36 months, demonstrating modest calibration.
conclusionsCurrent survival prediction models and staging systems for patients with PDAC undergoing resection after NAC have limited accuracy.
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