Identifying risk factors for cancer-specific early death in patients with advanced endometrial cancer: A preliminary predictive model based on SEER data

This study identified key risk factors for early cancer-specific mortality in patients with advanced endometrial cancer. The preliminary nomogram model holds promise for predicting early death risk and could be valuable in clinical practice. Future work may explore its performance with additional data to ensure broad applicability.

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Publication Details

Journal
PLoS ONE
Published
2025-02-12
DOI
https://doi.org/10.1371/journal.pone.0318632
Citations
1
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
2.06

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article

Identifying risk factors for cancer-specific early death in patients with advanced endometrial cancer: A preliminary predictive model based on SEER data

Chuqiang Shu, Qiao Liu, Guang Li, Dan Jiang et al.
1 citations
PLoS ONE
Endometrial and Cervical Cancer Treatments
2.06
article

Identifying risk factors for cancer-specific early death in patients with advanced endometrial cancer: A preliminary predictive model based on SEER data

Chuqiang Shu, Qiao Liu, Guang Li, Dan Jiang, Jing Yang, Qi Tian, Yi Tang
article en
1 citations

Abstract

This study identified key risk factors for early cancer-specific mortality in patients with advanced endometrial cancer. The preliminary nomogram model holds promise for predicting early death risk and could be valuable in clinical practice. Future work may explore its performance with additional data to ensure broad applicability.

PLoS ONEVol. 20(2)
Hunan Provincial Maternal and Child Health Hospital (CN)
Natural Science Foundation of Hunan Province
Good health and well-being
Openalex Percentile: Top 18%
Endometrial and Cervical Cancer Treatments
2.06
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