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利用全国性大数据识别女性乳腺癌发病倾向风险因素:台湾一项匹配的巢式病例对照研究。

Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan.

机构信息

Division of General Surgery, Department of Surgery, Kaohsiung Armed Forces General Hospital, Kaohsiung, 81342, Taiwan.

Department of Breast and Thyroid Surgery, Chung Shan Medical University Hospital, Taichung, 404332, Taiwan.

出版信息

BMC Cancer. 2022 Aug 4;22(1):849. doi: 10.1186/s12885-022-09913-6.

Abstract

BACKGROUND

Breast cancer is an umbrella term referring to a group of biologically and molecularly heterogeneous diseases originating from the breast. Globally, incidences of breast cancer has been increasing dramatically over the past decades. Analyses of multiple clinical "big data" can aid us in clarifying the means of preventing the disease. In addition, predisposing risk factors will be the most important issues if we can confirm their relevance. This study aims to provide an overview of the predisposing factors that contribute to a higher possibility of developing breast cancer and emphasize the signs that we ought to pay more attention to.

METHODS

This is a matched nested case-control study. The cohort focused on identifying the eligible risk factors in breast cancer development by data screening (2000-2013) from the Taiwan National Health Insurance Research Database (NHIRD) under approved protocol. A total of 486,069 females were enrolled from a nationwide sampled database, and 3281 females was elligible as breast cancer cohort, 478,574 females who had never diagnosed with breast cancer from 2000 to 2013 were eligible as non-breast cancer controls, and matched to breast cancer cases according to age using a 1:6 ratio.

RESULTS

We analyzed 3281 breast cancer cases and 19,686 non-breast cancer controls after an age-matched procedure. The significant predisposing factors associated with breast cancer development including obesity, hyperlipidemia, thyroid cancer and liver cancer. As for patients under the age of 55, gastric cancer does seem to have an impact on the development of breast cancer; compared with their counterparts over the age of 55, endometrial cancer appears to exhibit an evocative effect.

CONCLUSIONS

In this nationwide matched nested case-control study, we identified obesity, hyperlipidemia, previous cancers of the thyroid, stomach and liver as risk factors associated with breast cancer. However, the retrospective nature and limited case numbers of certain cancers still difficult to provide robust evidence. Further prospective studies are necessitated to corroborate this finding in order to nip the disease in the bud.

TRIAL REGISTRATION

The studies involving human participants were reviewed and approved by the China Medical University Hospital [CMUH104-REC2-115(AR-4)].

摘要

背景

乳腺癌是一个泛指的术语,指的是一组源自乳房的生物学和分子上异质的疾病。在全球范围内,过去几十年中乳腺癌的发病率一直在急剧上升。对多个临床“大数据”的分析可以帮助我们澄清预防疾病的方法。此外,如果能确定相关的易患风险因素,那么这些因素将是最重要的问题。本研究旨在概述导致乳腺癌发生可能性更高的易患因素,并强调我们应该更加关注的迹象。

方法

这是一项匹配的巢式病例对照研究。该队列通过数据筛选(2000-2013 年)从经批准的方案下的台湾国家健康保险研究数据库(NHIRD)中确定乳腺癌发病的合格风险因素。从全国抽样数据库中招募了 486069 名女性,共有 3281 名女性符合乳腺癌队列标准,2000 年至 2013 年期间从未被诊断患有乳腺癌的 478574 名女性作为非乳腺癌对照组,按照年龄与乳腺癌病例进行 1:6 匹配。

结果

在进行年龄匹配程序后,我们分析了 3281 例乳腺癌病例和 19686 例非乳腺癌对照。与乳腺癌发生相关的显著易患因素包括肥胖、高血脂、甲状腺癌和肝癌。对于 55 岁以下的患者,胃癌似乎确实对乳腺癌的发展有影响;与 55 岁以上的患者相比,子宫内膜癌似乎具有诱发作用。

结论

在这项全国性匹配的巢式病例对照研究中,我们确定肥胖、高血脂、甲状腺、胃和肝的既往癌症是与乳腺癌相关的危险因素。然而,某些癌症的回顾性性质和有限的病例数量仍然难以提供有力的证据。需要进一步的前瞻性研究来证实这一发现,以便及早发现疾病。

试验注册

涉及人类参与者的研究已由中国医科大学附属医院[CMUH104-REC2-115(AR-4)]审查和批准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b404/9351234/ad5d06f6eb63/12885_2022_9913_Fig1_HTML.jpg

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