S Lai, K Molnar, L Huang, S Garimella, M Enko, P Pordell, A White, V Senkomago
{"title":"堪萨斯州社区乳腺癌妇女的乳房x光检查模式","authors":"S Lai, K Molnar, L Huang, S Garimella, M Enko, P Pordell, A White, V Senkomago","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The objective of this study was to examine patterns of mammography screening prior to breast cancer diagnosis in all women with breast cancer in a Kansas community.</p><p><strong>Methods: </strong>The study population included 508 women in the Kansas Cancer Registry database diagnosed with breast cancer between 2013-2014 who were patients and residents of a defined area at the time of diagnosis. Screening history within 4 years of diagnosis was obtained. Poisson regression analysis was used to examine the relationship between sociodemographic factors and biennial screening.</p><p><strong>Results: </strong>About 41.5% of women received at least biennial screening, while 22.1% received less than biennial screening and 36.4% had no screening. About 40% of women aged 50-64, 50.4% aged 65-74, and 48.3% aged 75-84 received biennial screening (p=0.002). Women diagnosed with in-situ and localized breast cancers had significantly higher proportions of biennial screening (46.7% and 48.6%, respectively; p < 0.001). Average tumor size was 15.7, 17.4, and 24.4 mm, for women who received at least biennial, some, and no screening, respectively (p < 0.001). Results from Poisson regression analysis showed the adjusted relative risk associated with rural/mixed residence at diagnosis and Medicaid beneficiary was 0.45 and 0.40 (p=0.003 and p=0.032) respectively.</p><p><strong>Conclusions: </strong>Biennial mammography screening was associated with lower breast cancer stage and smaller tumor size, illustrating the importance of screening as early detection. Different outreach strategies may be necessary to reach women within varied age groups or geographical regions to help increase the number of women who remain up-to-date with mammography screening.</p>","PeriodicalId":74491,"journal":{"name":"Preventive medicine and community health","volume":"5 ","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194054/pdf/","citationCount":"0","resultStr":"{\"title\":\"Patterns of Mammography Screening in Women with Breast Cancer in a Kansas Community.\",\"authors\":\"S Lai, K Molnar, L Huang, S Garimella, M Enko, P Pordell, A White, V Senkomago\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The objective of this study was to examine patterns of mammography screening prior to breast cancer diagnosis in all women with breast cancer in a Kansas community.</p><p><strong>Methods: </strong>The study population included 508 women in the Kansas Cancer Registry database diagnosed with breast cancer between 2013-2014 who were patients and residents of a defined area at the time of diagnosis. Screening history within 4 years of diagnosis was obtained. Poisson regression analysis was used to examine the relationship between sociodemographic factors and biennial screening.</p><p><strong>Results: </strong>About 41.5% of women received at least biennial screening, while 22.1% received less than biennial screening and 36.4% had no screening. About 40% of women aged 50-64, 50.4% aged 65-74, and 48.3% aged 75-84 received biennial screening (p=0.002). Women diagnosed with in-situ and localized breast cancers had significantly higher proportions of biennial screening (46.7% and 48.6%, respectively; p < 0.001). Average tumor size was 15.7, 17.4, and 24.4 mm, for women who received at least biennial, some, and no screening, respectively (p < 0.001). Results from Poisson regression analysis showed the adjusted relative risk associated with rural/mixed residence at diagnosis and Medicaid beneficiary was 0.45 and 0.40 (p=0.003 and p=0.032) respectively.</p><p><strong>Conclusions: </strong>Biennial mammography screening was associated with lower breast cancer stage and smaller tumor size, illustrating the importance of screening as early detection. Different outreach strategies may be necessary to reach women within varied age groups or geographical regions to help increase the number of women who remain up-to-date with mammography screening.</p>\",\"PeriodicalId\":74491,\"journal\":{\"name\":\"Preventive medicine and community health\",\"volume\":\"5 \",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194054/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Preventive medicine and community health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive medicine and community health","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Patterns of Mammography Screening in Women with Breast Cancer in a Kansas Community.
Purpose: The objective of this study was to examine patterns of mammography screening prior to breast cancer diagnosis in all women with breast cancer in a Kansas community.
Methods: The study population included 508 women in the Kansas Cancer Registry database diagnosed with breast cancer between 2013-2014 who were patients and residents of a defined area at the time of diagnosis. Screening history within 4 years of diagnosis was obtained. Poisson regression analysis was used to examine the relationship between sociodemographic factors and biennial screening.
Results: About 41.5% of women received at least biennial screening, while 22.1% received less than biennial screening and 36.4% had no screening. About 40% of women aged 50-64, 50.4% aged 65-74, and 48.3% aged 75-84 received biennial screening (p=0.002). Women diagnosed with in-situ and localized breast cancers had significantly higher proportions of biennial screening (46.7% and 48.6%, respectively; p < 0.001). Average tumor size was 15.7, 17.4, and 24.4 mm, for women who received at least biennial, some, and no screening, respectively (p < 0.001). Results from Poisson regression analysis showed the adjusted relative risk associated with rural/mixed residence at diagnosis and Medicaid beneficiary was 0.45 and 0.40 (p=0.003 and p=0.032) respectively.
Conclusions: Biennial mammography screening was associated with lower breast cancer stage and smaller tumor size, illustrating the importance of screening as early detection. Different outreach strategies may be necessary to reach women within varied age groups or geographical regions to help increase the number of women who remain up-to-date with mammography screening.