Literature DB >> 33835974

Prognostic Nomograms to Predict Overall Survival and Cancer-Specific Survival of Patients With Pancreatic Neuroendocrine Tumors: A Population-Based Study.

Zuoli Song, Sumei Wang, Yujing Wu, Jinjuan Zhang, Shuye Liu.   

Abstract

OBJECTIVE: The objective of this research was to construct and validate prognostic nomograms predicting overall survival (OS) and cancer-specific survival (CSS) in patients with pancreatic neuroendocrine tumors (pNETs).
METHODS: We extracted 3787 patients with pNETs from the Surveillance, Epidemiology and End Results database. Nomograms for estimating 3- and 5-year OS and CSS were first established. Then, we used Harrell's Concordance Index, calibration plots, and the area under receiver operating characteristic curve to evaluate the nomograms. The Kaplan-Meier curve was plotted to evaluate the different survival outcomes.
RESULTS: In the multivariate analysis, age, grade, functional status, American Joint Committee on Cancer stage, and surgery were associated with OS and CSS. The established nomograms had good discriminative ability, with a Harrell's Concordance Index of 0.830 for OS and 0.855 for CSS. The calibration plots also revealed good agreement. The area under receiver operating characteristic curve values of the nomograms predicting 3- and 5-year OS and CSS rates were 0.836, 0.816 and 0.859, 0.841, respectively. In addition, Kaplan-Meier curve indicated that patients with higher risk had worse survival outcomes.
CONCLUSIONS: We have proposed and validated the nomograms predicting OS and CSS of pNETs. They can be convenient individualized tools to facilitate clinical decision making.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33835974     DOI: 10.1097/MPA.0000000000001779

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  1 in total

1.  Prognostic Nomogram Based on the Metastatic Lymph Node Ratio for T1-4N0-1M0 Pancreatic Neuroendocrine Tumors After Surgery.

Authors:  Jingxiang Shi; Sifan Liu; Jisen Cao; Shigang Shan; Chaoyi Ren; Jinjuan Zhang; Yijun Wang
Journal:  Front Oncol       Date:  2022-04-27       Impact factor: 5.738

  1 in total

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