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September 18, 2025Science ProgressOpen Access

Development and validation of esophageal cancer prediction model based on DeepSurv model: A cohort study

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Authors

ZXZhenzhen XuMinistry of Education of the People's Republic of ChinaCXChengzhen XuHuaibei Normal UniversityFGFangzhen GeAnhui University

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Implication

Cohort study established a survival prediction model for esophageal cancer, suggesting personalized treatment strategies.

Key Points

  • The developed survival prediction model achieved a concordance index of 0.84 and 0.83 for training and test sets, indicating strong predictive performance.
  • Multivariate survival analysis revealed significant prognostic factors like race, diagnosis year, and marital status, influencing patient outcomes.
  • The model compared treatment modalities, showing a significant difference in efficacy between surgical and non-surgical groups (p < 0.001).
  • Using data from 5276 esophageal cancer patients, the model aims to provide actionable insights for tailored treatment strategies.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/68d461b631b076d99fa607d1https://doi.org/10.1177/00368504251379380
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