Development and validation of a nomogram for primary duodenal carcinoma: a multicenter, population-based study

This study aimed to develop a predictive model for patients with duodenal carcinoma. Duodenal carcinoma patients from the Surveillance, Epidemiology, and End Results database (2010–2015) and the First Affiliated Hospital of Nanchang University (2010–2021) were enrolled. A nomogram was constructed ac...

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Published in:Future oncology (London, England) England), 2022-03, Vol.18 (10), p.1245-1258
Main Authors: Yang, Qin-Yu, Tang, Chao-Tao, Huang, Yun-Feng, Shao, Dan-Ting, Shu, Xu
Format: Article
Language:English
Subjects:
China - epidemiology
Duodenal Neoplasms - diagnosis
Duodenal Neoplasms - mortality
Duodenal Neoplasms - pathology
Female
Humans
Kaplan-Meier Estimate
Lymphatic Metastasis
Male
Middle Aged
Neoplasm Grading
Neoplasm Staging
nomogram
Nomograms
primary duodenal carcinoma
Prognosis
Risk Assessment - methods
SEER Program
Surveillance Epidemiology and End Results
survival
United States - epidemiology
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Summary:This study aimed to develop a predictive model for patients with duodenal carcinoma. Duodenal carcinoma patients from the Surveillance, Epidemiology, and End Results database (2010–2015) and the First Affiliated Hospital of Nanchang University (2010–2021) were enrolled. A nomogram was constructed according to least absolute shrinkage and selection operator regression analysis, the Akaike information criterion approach and Cox regression analysis. Five independent prognostic factors were significantly associated with the prognosis of the duodenal carcinoma patients. A nomogram was constructed with a C-index in the training and validation cohorts of 0.671 (95% CI: 0.578–0.716) and 0.662 (95% CI: 0.529–0.773), respectively. The established nomogram model provided visualization of the risk of each prognostic factor.
ISSN:1479-6694
1744-8301
DOI:10.2217/fon-2021-0622