The AUGIS Survival Predictor: Prediction of Long-Term and Conditional Survival After Esophagectomy Using Random Survival Forests.

Rahman, Saqib A; Walker, Robert C; Maynard, Nick; Trudgill, Nigel; Crosby, Tom; Cromwell, David A; Underwood, Timothy J

Rahman, Saqib A; Walker, Robert C; Maynard, Nick; Trudgill, Nigel; Crosby, Tom; Cromwell, David A; Underwood, Timothy J.

Afiliação

Rahman SA; School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Walker RC; Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK.
Maynard N; School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Trudgill N; Oxford University Hospitals NHS Trust, UK.
Crosby T; Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK.
Cromwell DA; Velindre Cancer Center, Cardiff, UK.
Underwood TJ; Clinical Effectiveness Unit, Royal College of Surgeons of England, London, UK.

Ann Surg ; 277(2): 267-274, 2023 02 01.

Article em En | MEDLINE | ID: mdl-33630434

Assuntos

Carcinoma de Células Escamosas; Neoplasias Esofágicas; Humanos; Excisão de Linfonodo/métodos; Esofagectomia/métodos; Carcinoma de Células Escamosas/cirurgia; Estadiamento de Neoplasias

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Carcinoma de Células Escamosas Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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