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Evaluation of a population-based breast cancer screening in North China

BACKGROUND: Despite mammography-based screening for breast cancer has been conducted in many countries, there are still little data on participation and diagnostic yield in population-based breast cancer screening in China. METHODS: We enrolled 151,973 eligible women from four cities in Hebei Provin...

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Autores principales: Wu, Siqi, Liang, Di, Shi, Jin, Li, Daojuan, Liu, Yanyu, Hao, Yahui, Shi, Miaomiao, Du, Xinyu, He, Yutong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423103/
https://www.ncbi.nlm.nih.gov/pubmed/37266660
http://dx.doi.org/10.1007/s00432-023-04905-w
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author Wu, Siqi
Liang, Di
Shi, Jin
Li, Daojuan
Liu, Yanyu
Hao, Yahui
Shi, Miaomiao
Du, Xinyu
He, Yutong
author_facet Wu, Siqi
Liang, Di
Shi, Jin
Li, Daojuan
Liu, Yanyu
Hao, Yahui
Shi, Miaomiao
Du, Xinyu
He, Yutong
author_sort Wu, Siqi
collection PubMed
description BACKGROUND: Despite mammography-based screening for breast cancer has been conducted in many countries, there are still little data on participation and diagnostic yield in population-based breast cancer screening in China. METHODS: We enrolled 151,973 eligible women from four cities in Hebei Province within the period 2013–2021 and followed up until December 31, 2021. Participants aged 40–74 who assessed as high risk were invited to undergo breast ultrasound and mammography examination. Overall and group-specific participation rates were calculated. Multivariable analyses were used to estimate the factors associated with participation rates. The diagnostic yield of both screening and no screening groups was calculated. We further analyzed the stage distribution and molecular subtype of breast cancer cases by different modes of cancer detection. RESULTS: A total of 42,547 participants were evaluated to be high risk of breast cancer. Among them, 23,009 subjects undertook screening services, with participation rate of 54.08%. Multivariable logistic regression model showed that aged 45–64, high education level, postmenopausal, current smoking, alcohol consumption, family history of breast cancer, and benign breast disease were associated with increased participation of screening. After median follow-up of 3.79 years, there were 456 breast cancer diagnoses of which 65 were screen-detected breast cancers (SBCs), 27 were interval breast cancers (IBCs), 68 were no screening cancers, and 296 were cancers detected outside the screening program. Among them, 92 participants in the screening group (0.40%) and 364 in the non-screening group (0.28%) had breast cancer detected, which resulted in an odds ratio of 1.42 (95% CI 1.13–1.78; P = 0.003). We observed a higher detection rate of breast cancer in the screening group, with ORs of 2.42 (95% CI 1.72–3.41) for early stage (stages 0–I) and 2.12 (95% CI 1.26–3.54) for luminal A subtype. SBCs had higher proportion of early stage (71.93%) and luminal A subtype (47.22%) than other groups. CONCLUSIONS: The significant differences in breast cancer diagnosis between the screening and non-screening group imply an urgent need for increased breast cancer awareness and early detection in China.
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spelling pubmed-104231032023-08-14 Evaluation of a population-based breast cancer screening in North China Wu, Siqi Liang, Di Shi, Jin Li, Daojuan Liu, Yanyu Hao, Yahui Shi, Miaomiao Du, Xinyu He, Yutong J Cancer Res Clin Oncol Research BACKGROUND: Despite mammography-based screening for breast cancer has been conducted in many countries, there are still little data on participation and diagnostic yield in population-based breast cancer screening in China. METHODS: We enrolled 151,973 eligible women from four cities in Hebei Province within the period 2013–2021 and followed up until December 31, 2021. Participants aged 40–74 who assessed as high risk were invited to undergo breast ultrasound and mammography examination. Overall and group-specific participation rates were calculated. Multivariable analyses were used to estimate the factors associated with participation rates. The diagnostic yield of both screening and no screening groups was calculated. We further analyzed the stage distribution and molecular subtype of breast cancer cases by different modes of cancer detection. RESULTS: A total of 42,547 participants were evaluated to be high risk of breast cancer. Among them, 23,009 subjects undertook screening services, with participation rate of 54.08%. Multivariable logistic regression model showed that aged 45–64, high education level, postmenopausal, current smoking, alcohol consumption, family history of breast cancer, and benign breast disease were associated with increased participation of screening. After median follow-up of 3.79 years, there were 456 breast cancer diagnoses of which 65 were screen-detected breast cancers (SBCs), 27 were interval breast cancers (IBCs), 68 were no screening cancers, and 296 were cancers detected outside the screening program. Among them, 92 participants in the screening group (0.40%) and 364 in the non-screening group (0.28%) had breast cancer detected, which resulted in an odds ratio of 1.42 (95% CI 1.13–1.78; P = 0.003). We observed a higher detection rate of breast cancer in the screening group, with ORs of 2.42 (95% CI 1.72–3.41) for early stage (stages 0–I) and 2.12 (95% CI 1.26–3.54) for luminal A subtype. SBCs had higher proportion of early stage (71.93%) and luminal A subtype (47.22%) than other groups. CONCLUSIONS: The significant differences in breast cancer diagnosis between the screening and non-screening group imply an urgent need for increased breast cancer awareness and early detection in China. Springer Berlin Heidelberg 2023-06-02 2023 /pmc/articles/PMC10423103/ /pubmed/37266660 http://dx.doi.org/10.1007/s00432-023-04905-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Wu, Siqi
Liang, Di
Shi, Jin
Li, Daojuan
Liu, Yanyu
Hao, Yahui
Shi, Miaomiao
Du, Xinyu
He, Yutong
Evaluation of a population-based breast cancer screening in North China
title Evaluation of a population-based breast cancer screening in North China
title_full Evaluation of a population-based breast cancer screening in North China
title_fullStr Evaluation of a population-based breast cancer screening in North China
title_full_unstemmed Evaluation of a population-based breast cancer screening in North China
title_short Evaluation of a population-based breast cancer screening in North China
title_sort evaluation of a population-based breast cancer screening in north china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423103/
https://www.ncbi.nlm.nih.gov/pubmed/37266660
http://dx.doi.org/10.1007/s00432-023-04905-w
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