A Predictive Model for Gastric Cancer-Specific Death after Gastrectomy: A Competing-Risk Nomogram

We have developed a nomogram aimed at predicting gastric cancer-specific mortality in patients following gastrectomy. The model has undergone internal validation, demonstrating good accuracy and reliability. It serves as useful tool that can assist physicians and patients in making more informed clinical decisions.

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Publication Details

Journal
Iranian Journal of Public Health
Published
2024-10-19
DOI
https://doi.org/10.18502/ijph.v53i10.16722
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

A Predictive Model for Gastric Cancer-Specific Death after Gastrectomy: A Competing-Risk Nomogram

Xin Lou, Lai Wang
Iranian Journal of Public Health
Gastric Cancer Management and Outcomes
article

A Predictive Model for Gastric Cancer-Specific Death after Gastrectomy: A Competing-Risk Nomogram

Xin Lou, Lai Wang
article en

Abstract

We have developed a nomogram aimed at predicting gastric cancer-specific mortality in patients following gastrectomy. The model has undergone internal validation, demonstrating good accuracy and reliability. It serves as useful tool that can assist physicians and patients in making more informed clinical decisions.

Iranian Journal of Public HealthVol. 53(10)
First Hospital of Jiaxing (CN)
Good health and well-being
Openalex Percentile: Top 66%
Gastric Cancer Management and Outcomes
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A Predictive Model for Gastric Cancer-Specific Death after Gastrectomy: A Competing-Risk Nomogram — Xin Lou, Lai Wang · Iranian Journal of Public Health (2024) | TGRS Research Map | TGRS