A population-based predictive model predicting candidate for primary tumor surgery in patients with metastatic esophageal cancer
Author:
Publisher
AME Publishing Company
Subject
Pulmonary and Respiratory Medicine
Link
https://jtd.amegroups.com/article/download/48763/pdf
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis;Frontiers in Oncology;2022-07-22
2. The Effect of the Appropriate Timing of Radiotherapy on Survival Benefit in Patients with Metastatic Esophageal Cancer Who Have Undergone Resection of Primary Site: A SEER Database Analysis;Journal of Oncology;2022-03-16
3. A population-based predictive model to identify patients with signet ring cell carcinoma of the stomach who are most suitable for primary tumor resection;World Journal of Surgical Oncology;2022-03-16
4. A Model for Identifying Optimal Patients for Primary Tumor Resection in Patients With Metastatic Bladder Cancer;Frontiers in Oncology;2022-01-19
5. Models for Predicting Early Death in Patients With Stage IV Esophageal Cancer: A Surveillance, Epidemiology, and End Results–Based Cohort Study;Cancer Control;2022-01
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