Fayer Vívian Assis, Guerra Maximiliano Ribeiro, Cintra Jane Rocha Duarte, Bustamante-Teixeira Maria Teresa
Programa de Pós-Graduação em Saúde Coletiva, Universidade Federal de Juiz de Fora - Juiz de Fora (MG), Brasil.
Instituto Oncológico, Hospital 9 de Julho de Juiz de Fora - Juiz de Fora (MG), Brasil.
Rev Bras Epidemiol. 2016 Oct-Dec;19(4):766-778. doi: 10.1590/1980-5497201600040007.
: Breast cancer is an important public health issue in many parts of the world. Thus, it shows relevant incidence and is considered one of the main causes of death from cancer among women.
: To analyze ten-year survival and prognostic factors in women with invasive breast cancer.
: The cohort was composed of 195 women assisted in an oncology referral center in the municipality of Juiz de Fora, state of Minas Gerais, Brazil, who were diagnosed with the disease in 2000 and 2001. Sociodemographic, tumoral, health service, and treatment-related characteristics were analyzed. The Kaplan-Meier method was used to estimate the survival functions and the Cox model of proportional hazards for the evaluation of prognostic factors.
: The ten-year survival after diagnosis was of 56.3%. The major independent prognostic factors associated with increased risk of death were tumor size > 2.0 cm (hazard ratio - HR = 1.9; confidence interval - 95%CI 1.0 - 3.2) and presence of compromised lymph nodes (HR = 3.7; 95%CI 2.1 - 5.9).
: These findings reinforce the need of adopting actions that ensure access of the target population to the recommended diagnostic and therapeutic modalities, thus contributing to achieve earlier diagnosis and better survival rates.
乳腺癌是世界许多地区的一个重要公共卫生问题。因此，其发病率较高，被认为是女性癌症死亡的主要原因之一。
分析浸润性乳腺癌女性的十年生存率及预后因素。
该队列由195名女性组成，她们于2000年和2001年在巴西米纳斯吉拉斯州茹伊斯迪福拉市的一家肿瘤转诊中心接受治疗，并被诊断患有该疾病。分析了社会人口统计学、肿瘤、卫生服务及治疗相关特征。采用Kaplan-Meier方法估计生存函数，并使用Cox比例风险模型评估预后因素。
诊断后的十年生存率为56.3%。与死亡风险增加相关的主要独立预后因素为肿瘤大小>2.0 cm（风险比-HR = 1.9；置信区间-95%CI 1.0 - 3.2）和存在淋巴结受累（HR = 3.7；95%CI 2.1 - 5.9）。
这些发现强化了采取行动的必要性，以确保目标人群能够获得推荐的诊断和治疗方式，从而有助于实现早期诊断和提高生存率。
