COX REGRESSION MODEL FOR SURVIVAL ANALYSIS IN STOMACH CANCER PATIENTS
Keywords:
Cox proportional hazards model, survival, stomach cancer, EcuadorAbstract
Stomach cancer is one of the main causes of death in the world, it is a progressive disease that is mostly detected in the terminal stage and affects more frequently the first world and developing countries. Survival in stomach cancer patients during the period 2010 - 2015 was analyzed using the Cox Regression model at the SOLCA Manabí Oncology specialty hospital, Ecuador. The study was observational, descriptive and retrospective to evaluate the survival of patients diagnosed with stomach cancer between the years 2010 - 2015. The global and disease-free survival at five years was established from the time elapsed from the diagnosis to the occurrence of the event or date of last contact. Of the 344 patients studied, 63.2% were men and 36.8% women, the age limits were between 17 and 93 years. The tumor stage was considered, where (I) represents 8.4%, (II) 7.8%, stage (III) 15.6% and finally with 68.3% stage (IV), showing that patients in advanced stages were less likely to survive. With the Cox regression model, it was possible to demonstrate a statistically significant association between tumor stage and survival. Prevention programs are essential to prevent cancer from being diagnosed in advanced stages.
Keywords: Cox proportional hazards model, survival, stomach cancer, Ecuador.
Downloads
References
American cancer society. (2018). Detección temprana, diagnóstico y clasificación por etapas ¿Se puede detectar el cáncer de ovario en sus comienzos? American Cancer Society, 1–27.
Auz, E. (2018). Factores relacionados con la supervivencia de pacientes con cáncer de próstata en el hospital SOLCA núcleo de quito durante el periodo 2003 - 2018. Pontificia Universidad Católica Del Ecuador Facultad De Medicina, 121.
Bucheli, C., Alarcón, D. F., & Montes, K. (2021). Modelo de regresión de Cox para análisis de supervivencia en pacientes con cáncer de mama en la provincia de Manabí, Ecuador. Bionatura, 3(3), 2031–2037. https://doi.org/10.21931/rb/2021.06.03.24
Lachira, C., & Chávez, K. (2020). “Influencia del tiempo de espera entre la primera consulta y el tratamiento quirúrgico en la sobrevida de pacientes con cáncer de estómago en el instituto nacional de enfermedades neoplásicas entre los años 2011 y 2015.” Journal of Chemical Information and Modeling, 53(9), 1689–1699.
Mora, P., Romero, M., & Aragon, J. (2019). Impacto de la edad en la sobrevida de pacientes con adenocarcinoma gástrico atendidos en el periodo 2003-2013 en el Hospital Oncológico Solca-Quito. Sustainability (Switzerland), 11(1), 1–14.
MSP, INEC, & OPS/MSP. (2018). ENCUESTA STEPS ECUADOR 2018 - Vigilancia de enfermedades no transmisibles y factores de riesgo. Ministerio de Salud Pública, 1–66.
Nogales, C., Porras, E., & Lara, A. M. (2009). Aplicación del modelo de riesgos proporcionales de cox a pacientes con Sida en España. Investigación Operacional, 30(3), 214–222.
Ranstam, J., & Robertsson, O. (2017). The Cox model is better than the Fine and Gray model when estimating relative revision risks from arthroplasty register data. Acta Orthopaedica, 88(6), 578–580. https://doi.org/10.1080/17453674.2017.1361130
Spitale, A., Feller, A., & Lorez, M. (2020). Trends in Stomach Cancer Survival in Switzerland. January 2013.
SPSS, I. (2017). SPSS - Google Académico. IBM SPSS Statistics for Windows, Version 25 Armonk, NY: IBM SPSS CORP.
