Literature DB >> 24272196

A meta-analysis of the association between induced abortion and breast cancer risk among Chinese females.

Yubei Huang1, Xiaoliang Zhang, Weiqin Li, Fengju Song, Hongji Dai, Jing Wang, Ying Gao, Xueou Liu, Chuan Chen, Ye Yan, Yaogang Wang, Kexin Chen.   

Abstract

OBJECTIVE: To evaluate the association between induced abortion (IA) and breast cancer risk among Chinese females.
METHODS: We searched three English databases (PubMed, ScienceDirect, and Wiley) and three Chinese databases (CNKI, WanFang, and VIP) for studies up to December 2012, supplemented by manual searches. Two reviewers independently conducted the literature searching, study selection, and data extraction and quality assessment of included studies. Random effects models were used to estimate the summary odds ratios (ORs) and the 95 % confidence intervals (CIs).
RESULTS: A total of 36 articles (two cohort studies and 34 case-control studies) covering 14 provinces in China were included in this review. Compared to people without any history of IA, an increased risk of breast cancer was observed among females who had at least one IA (OR = 1.44, 95 % CI 1.29-1.59, I (2) = 82.6 %, p < 0.001, n = 34). No significant publication bias was found among the included studies (Egger test, p = 0.176). The risk increased to 1.76 (95 % CI 1.39-2.22) and 1.89 (95 % CI 1.40-2.55) for people who had at least two IAs and at least three IAs, respectively. Subgroup analyses showed similar results to the primary results. Meta-regression analysis of the included studies found that the association between IA and breast cancer risk attenuated with increasing percent of IA in the control group (β = -0.022, p < 0.001).
CONCLUSION: IA is significantly associated with an increased risk of breast cancer among Chinese females, and the risk of breast cancer increases as the number of IA increases. If IA were to be confirmed as a risk factor for breast cancer, high rates of IA in China may contribute to increasing breast cancer rates.

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Year:  2013        PMID: 24272196     DOI: 10.1007/s10552-013-0325-7

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  13 in total

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