Analysis of Breast Cancer Cases According to County-Level Poverty Status in 3.5 Million Rural Women Who Participated in a Breast Cancer Screening Program of Hunan Province, China from 2016–2018 [post]

Xiong Lili, Liu Zhiyu, Wu Yinglan, Wang Aihua, Li Hongyun, Liang Ting, Wang Yingxia, Yang Guanghui, Chen Xianghua, Fang Junqun, Xie Donghua, Kong Fanjuan
2020 unpublished
Purpose Thus far there has been no study on the breast cancer screening program in China, especially one exploring differences between poor and non-poor areas. Therefore, we aimed to assessment the effectiveness of the population-based breast cancer screening programs, and clinical epidemiological characteristics of breast cancers in poor and non-poor counties in rural areas of Hunan province from 2016–2018.Methods 3,151,679 rural women took part in the screening program and 1,169 breast cancer
more » ... 1,169 breast cancer cases was identified. Chi-square and Fisher's exact tests, and binary logistic regression analysis were used for analyzing the difference in risk factors, clinical examination results, and clinicopathological features of breast cancer patients in poor counties compared with those in non-poor counties in rural areas of Hunan province. Results The breast cancer incidence was 37.09/105. Breast cancer incidence was lower in poor counties (29.68/105) than in non-poor counties (43.13/105). There were differences between breast cancers in poor counties and non-poor counties in cyst, margin, internal echo, and blood flow in solid masses in the right breast in ultrasonic examination, lump structure in mammography examination, and clinicopathological staging and grading in pathological examination. Breast cancer in poor counties was more likely to be diagnosed at later stages as determined from the classification in ultrasonic, mammography and pathological examination. Furthermore, indexes of the breast screening program including early detection, incidence, pathological examination, and mammography examination were reduced in poor compared with non-poor counties. Binary logistic regression analysis showed that education, ethnicity, reproductive history and the year 2017 were associated with an increased risk of breast cancer in poor counties (OR >1, P < 0.05). Conclusions Women in poor areas were more likely to be diagnosed at a later breast cancer stage than those in non-poor areas, and therefore, women should have better access to diagnostic and clinical services in poor areas in Hunan province to help rectify this situation.
doi:10.21203/rs.3.rs-39234/v1 fatcat:fv3xaqvyijcttdszhstvnq7jye