ArticleWorld journal of gastroenterology2020
Nomograms predicting long-term survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas: A population-based study.
Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Epidemiology and outcome of individuals with intraductal papillary neoplasms of the bile duct.World journal of gastrointestinal oncology · 2023Article
- Mortality patterns of patients with tonsillar squamous cell carcinoma: a population-based study.Frontiers in endocrinology · 2023Article
- Epidemiology and prognostic analysis of patients with pancreatic signet ring cell carcinoma: a population-based study.BMC gastroenterology · 2022Article
- Establishment and verification of a nomogram for predicting survival in patients with triple-positive breast cancer.Annals of translational medicine · 2022Article
- Analyzing and predicting the LNM rate and prognosis of patients with intraductal papillary mucinous neoplasm of the pancreas.Cancer medicine · 2021Article
- Prognostic Significance of Preoperative Lymphocyte-to-C-Reactive Protein Ratio in Patients with Non-Metastatic Colorectal Cancer.OncoTargets and therapy · 2021Article
- Modern aspects of the management of pancreatic intraductal papillary mucinous neoplasms: a narrative review.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieReview
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are few effective tools to predict survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas.
aimTo develop comprehensive nomograms to individually estimate the survival outcome of patients with invasive intraductal papillary mucinous neoplasms of the pancreas.
methodsData of 1219 patients with invasive intraductal papillary mucinous neoplasms after resection were extracted from the Surveillance, Epidemiology, and End Results database, and randomly divided into the training (
resultsIn the training cohort, age, marital status, histological type, T stage, N stage, M stage, and chemotherapy were selected to construct nomograms. Compared with the American Joint Committee on Cancer 7
conclusionThe nomograms show improved predictive accuracy, discrimination capability, and clinical utility, which can be used as reliable tools for risk classification and treatment recommendations.
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