标题:No Association between Traffic Density and Risk of Childhood Leukemia: a Meta-analysis
作者:Sun, Xiao-Xi; Zhang, Shan-Shan; Ma, Xiao-Ling
作者机构:[Sun, Xiao-Xi; Ma, Xiao-Ling] Anhui Med Univ, Anhui Prov Hosp, Dept Lab Med, Hefei, Peoples R China.; [Zhang, Shan-Shan] Shandong Univ, Sch Med, Jin 更多
通讯作者:Ma, XL
通讯作者地址:[Ma, XL]Anhui Med Univ, Anhui Prov Hosp, Dept Lab Med, Hefei, Peoples R China.
来源:ASIAN PACIFIC JOURNAL OF CANCER PREVENTION
出版年:2014
卷:15
期:13
页码:5229-5232
DOI:10.7314/APJCP.2014.15.13.5229
关键词:Traffic density; childhood leukemia; meta-analysis
摘要:Background: While many studies have concluded that local traffic density is positively associated with childhood leukemia, the results are inconsistent. We therefore performed a meta-analysis to assess the relationship between traffic density and the risk of childhood leukemia. Methods: A systematic literature review was carried out using PubMed, EMBASE, and the Cochrane Library from January 1979 to December 2013. We selected and assessed journal articles evaluating the relationship between local traffic density and the risk of leukemia in children. The analysis was carried out using STATA version 12.0. Results: A total of 11 articles, including 12 estimates of effect, were included in our meta-analysis. The summary effect size from the random-effects model, expressed as an odds ratio, was 1.03 (95% CI: 0.98-1.09, p=0.002). No significant association between traffic density and the risk of childhood leukemia was found. Similar conclusions were found on subgroup analysis. Conclusions: The results of our meta-analysis suggested no association between traffic density and the risk of childhood leukemia. This implies that living in close proximity to roads with heavy traffic may not increase the risk of childhood leukemia. However, further high-quality prospective trials are needed to support these results.
收录类别:SCOPUS;SCIE
WOS核心被引频次:4
Scopus被引频次:6
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905378837&doi=10.7314%2fAPJCP.2014.15.13.5229&partnerID=40&md5=8ef5882d8ad401c98919171ef7bb45d7
TOP