Cancer survival (SURVCANCER BRAZIL): Analysis of 132,621 cases from 19 hospital-based registries in southernmost Brazilian state comparing public and private insurance.

Juliana Giacomazzi, Fernando Cotait Maluf, Sheila Schuch Ferreira,Silvana Schneider,Rafael Jose Vargas Alves, Rodrigo Ughini Villarroel, Christina Pimentel Oppermann, Sandra Helena Comassetto Barros, Roberta Pozza, Marina Ractz Bueno, Gustavo Zerwes,Silvia Saueressig, Adriana Elisa Wilk, Rafael Armando Seewald,Rita De Cassia Costamilan, Bianca Tabajara Weiss, Marcelo Capra,Patricia Klarmann Ziegelmann

JOURNAL OF CLINICAL ONCOLOGY(2023)

引用 0|浏览9
暂无评分
摘要
6632 Background: Brazilian data for cancer survival are scarce. Therefore, we aimed to describe the 5-year overall survival (OS) of individuals with public and private insurance from Rio Grande do Sul/RS (Brazil) diagnosed with the 17 most incident tumors in the country. Methods: Data from 19 of the 27 hospital-based cancer registries from RS were integrated with the Brazilian Information System data. Individuals with confirmed cancer diagnoses between 2005-2017 were included. Passive follow-up time was calculated as the difference between diagnosis and death (from any cause) or censure date. Survival was estimated by Kaplan-Meier method. Comparison between the survival of individuals assisted by public or private insurance was evaluated using hazard ratios (HR) estimated by multivariate Frailty and Cox regression models with adjustments for age, sex, and economic status. Results: 5-year OS was higher for patients with private health insurance for 13 of the 17 cancers studied. Conclusions: The survival trends among cancer patients assisted by public and private health insurance systems reveal vast differences that may be likely attributable to differences in access to early diagnosis and optimum treatment. We hope our results will help government officials understand that ongoing cancer survival surveillance is an indispensable source of information and a key policy tool for public health decisions. [Table: see text]
更多
查看译文
关键词
survcancer brazil,brazilian state,cancer,survival,hospital-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要