Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study

The nomogram developed using age, grade, chemotherapy, surgery, and liver metastasis as predictors can reliably estimate survival outcomes for stage IV PC patients and offers a potential tool for individualized clinical decision-making.

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Publication Details

Journal
World Journal of Gastrointestinal Oncology
Published
2025-05-15
DOI
https://doi.org/10.4251/wjgo.v17.i5.102459
Citations
1
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
1.05
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article

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study

Chengrun Du, Kun Huang, Yumin He, Xin-Zhu Yuan et al.
1 citations
World Journal of Gastrointestinal Oncology
Pancreatic and Hepatic Oncology Research
1.05
article

Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study

Chengrun Du, Kun Huang, Yumin He, Xin-Zhu Yuan, Lan Xiang, Chen Zhu
article en
1 citations

Abstract

The nomogram developed using age, grade, chemotherapy, surgery, and liver metastasis as predictors can reliably estimate survival outcomes for stage IV PC patients and offers a potential tool for individualized clinical decision-making.

World Journal of Gastrointestinal OncologyVol. 17(5)
Sichuan Mianyang 404 Hospital (CN)
Openalex Percentile: Top 22%
Pancreatic and Hepatic Oncology Research
1.05
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