Prediction-model development and temporal validation for six-month cancer-specific mortality in de novo metastatic gastroesophageal junction adenocarcinoma: a SEER-based study

Lunjian Xia, Ziao Wang, Xiaoqian Guo, Xueting Men, Weikun Fan, Qifeng Lu · 2026

Read Prediction-model development and temporal validation for six-month cancer-specific mortality in de novo metastatic gastroesophageal junction adenocarcinoma: a SEER-based study by Lunjian Xia, Ziao Wang, Xiaoqian Guo, Xueting Men, Weikun Fan, Qifeng Lu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13546561.txt.

Description

Lunjian Xia and colleagues developed in 2026 a model that predicts which patients with newly metastatic cancer of the gastroesophageal junction will die of their cancer within six months. That early window shapes decisions about tolerating first-line treatment and starting palliative conversations. Records came from a national registry and covered 6,564 patients diagnosed between 2010 and 2021, most of them men with an average age of 64.

Six machine learning approaches were compared, and a gradient boosting model won out. Tested on patients from later years, it sorted people into low, medium, and high risk groups whose six-month death rates were about 20, 32, and 80 percent. The authors also show which factors drive each prediction, keeping the model interpretable for clinicians.

Catalog record

CREATORLunjian Xia, Ziao Wang, Xiaoqian Guo, Xueting Men, Weikun Fan, Qifeng Lu
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE41931
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13546561

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