Breast cancer survival in Great Cuiaba, Brazil: a population-based study

Author:

Oliveira Jânia Cristiane de Souza1ORCID,Galvão Noemi Dreyer2ORCID,Páscoa Marcelino Alves Rosa de2ORCID,Azevedo Elicleia Filgueira Santiago de3ORCID,Silva Ageo Mário Cândido da2ORCID

Affiliation:

1. Universidade Federal de Rondonópolis, Brasil

2. Universidade Federal de Mato Grosso, Brasil

3. Unimed Cuiabá, Brasil

Abstract

ABSTRACT Objective: To analyze ten-year specific survival of women with breast cancer in Great Cuiaba, Mato Grosso, Brazil. Methods: A population-based cohort of 61 women diagnosed with breast cancer in 2008 and 2009, in Great Cuiabá, Mato Grosso, followed by 2018 in the regional mortality database. Specific survival was analyzed through the Kaplan-Meier curve, with adjustment of the Weibull model and Log-Weibull Regression. The survival curves of the variables were compared using the log-rank test which were statistically significance (p<0.05). Results: The mean time to death is approximately 51.1 months. Women aged ≤ 50 years and of white race/color presented the worst survival. Conclusion: We found out that age, race/color affect specific survival and there is a need for reviewing the control plan for breast cancer in order to increase the survival of women diagnosed with this pathology.

Publisher

FapUNIFESP (SciELO)

Subject

General Medicine

Reference20 articles.

1. Cancer today,2019

2. Estimativa 2018: incidência do câncer no Brasil.,2017

3. Atlas da mortalidade,2014

4. Registro de câncer: princípios e métodos;Parkin DM,1995

5. Resolução Comissão de Intergestores Bipartite/MT Ad Referendum n°001 de 20 de fevereiro de 2017. Plano de ação da atenção oncológica no estado de Mato Grosso,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3