Breast Arterial Calcifications as A Predictor of Cardiovascular Risk: A Systematic Review

Q4 Medicine
Chelsey Lawson, Patrick Batti, Prerna Singh, M. Usman, F. Bashir, Benish Alam, G. Asaolu, Shaymaa Abdelmalek, B. M. J. Sayo, Epiniah S. Choga, T. Khan, Hammad Zafar, A. Adedoyin, Maryam Ahmed, Mohammed Numaan Ahmed
{"title":"Breast Arterial Calcifications as A Predictor of Cardiovascular Risk: A Systematic Review","authors":"Chelsey Lawson, Patrick Batti, Prerna Singh, M. Usman, F. Bashir, Benish Alam, G. Asaolu, Shaymaa Abdelmalek, B. M. J. Sayo, Epiniah S. Choga, T. Khan, Hammad Zafar, A. Adedoyin, Maryam Ahmed, Mohammed Numaan Ahmed","doi":"10.24018/clinicmed.2022.3.6.228","DOIUrl":null,"url":null,"abstract":"\nIntroduction: Breast arterial calcification (BAC) is considered a prediction tool for cardiovascular disease (CVD) screening as it has shown some association. The current systematic review reports the evidence on BAC detected on screening mammography and occurrence risk or likelihood of CVD among women.\n\n\nMethods: Three databases, including PubMed, Cochrane, and Google Scholar, were searched by three independent reviewers.\n\n\nResults: A total of 34,887 patients across six studies were assessed in the systematic review. The incidence of BAC on the mammogram was 10.3%. The odds or likelihood of developing CVD was higher among BAC+ women. Hypertension, hypercholesterolemia, and family history of CVD were more prevalent in BAC+ women and menopause. \n\n\nConclusion: Further studies are required to develop a semi-quantitative index of BAC for CVD screening to establish BAC as a predictor of CVD further.\n","PeriodicalId":52409,"journal":{"name":"European Journal of Translational and Clinical Medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Translational and Clinical Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24018/clinicmed.2022.3.6.228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Breast arterial calcification (BAC) is considered a prediction tool for cardiovascular disease (CVD) screening as it has shown some association. The current systematic review reports the evidence on BAC detected on screening mammography and occurrence risk or likelihood of CVD among women. Methods: Three databases, including PubMed, Cochrane, and Google Scholar, were searched by three independent reviewers. Results: A total of 34,887 patients across six studies were assessed in the systematic review. The incidence of BAC on the mammogram was 10.3%. The odds or likelihood of developing CVD was higher among BAC+ women. Hypertension, hypercholesterolemia, and family history of CVD were more prevalent in BAC+ women and menopause. Conclusion: Further studies are required to develop a semi-quantitative index of BAC for CVD screening to establish BAC as a predictor of CVD further.
乳房动脉钙化作为心血管风险的预测因子:一项系统综述
导读:乳腺动脉钙化(BAC)被认为是心血管疾病(CVD)筛查的预测工具,因为它已显示出一定的相关性。目前的系统评价报告了筛查乳房x光检查中检测到的BAC的证据以及女性心血管疾病发生的风险或可能性。方法:由三名独立审稿人检索PubMed、Cochrane和Google Scholar三个数据库。结果:系统评价共评估了6项研究中的34,887例患者。乳腺x光检查BAC的发生率为10.3%。BAC+的女性患心血管疾病的几率或可能性更高。高血压、高胆固醇血症和CVD家族史在BAC+女性和绝经期更为普遍。结论:需要进一步研究建立用于CVD筛查的BAC半定量指标,以进一步确立BAC作为CVD的预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.50
自引率
0.00%
发文量
12
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信