Assessment of prognostic factors in long-term survival of male and female patients with colorectal cancer using non-mixture cure model based on the Weibull distribution.

Azizmohammad Looha, Mehdi; Zarean, Elaheh; Masaebi, Fatemeh; Pourhoseingholi, Mohamad Amin; Zali, Mohamad Reza

Azizmohammad Looha, Mehdi; Zarean, Elaheh; Masaebi, Fatemeh; Pourhoseingholi, Mohamad Amin; Zali, Mohamad Reza.

Afiliación

Azizmohammad Looha M; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zarean E; Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran. Electronic address: elahe.zarean.ez@gmail.com.
Masaebi F; Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Pourhoseingholi MA; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: aminphg@gmail.com.
Zali MR; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Surg Oncol ; 38: 101562, 2021 Sep.

Article en En | MEDLINE | ID: mdl-33862578

Asunto(s)

Neoplasias Colorrectales/mortalidad; Modelos Estadísticos; Anciano; Neoplasias Colorrectales/epidemiología; Neoplasias Colorrectales/patología; Neoplasias Colorrectales/terapia; Terapia Combinada; Femenino; Estudios de Seguimiento; Humanos; Irán/epidemiología; Masculino; Pronóstico; Estudios Retrospectivos; Factores de Riesgo; Tasa de Supervivencia

Palabras clave

Colorectal cancer; Long-term survivors; Prognostic factors; Survival analysis; Survival rate

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Modelos Estadísticos Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male País/Región como asunto: Asia Idioma: En Revista: Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2021 Tipo del documento: Article País de afiliación: Irán

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