当前位置: X-MOL 学术Int. J. Epidemiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Vibration of effects in epidemiologic studies of alcohol consumption and breast cancer risk.
International Journal of Epidemiology ( IF 7.7 ) Pub Date : 2020-01-22 , DOI: 10.1093/ije/dyz271
Lingzhi Chu 1 , John P A Ioannidis 2, 3, 4, 5 , Alex C Egilman 6 , Vasilis Vasiliou 1 , Joseph S Ross 7, 8, 9, 10 , Joshua D Wallach 1, 6
Affiliation  

BACKGROUND Different analytical approaches can influence the associations estimated in observational studies. We assessed the variability of effect estimates reported within and across observational studies evaluating the impact of alcohol on breast cancer. METHODS We abstracted largest harmful, largest protective and smallest (closest to the null value of 1.0) relative risk estimates in studies included in a recent alcohol-breast cancer meta-analysis, and recorded how they differed based on five model specification characteristics, including exposure definition, exposure contrast levels, study populations, adjustment covariates and/or model approaches. For each study, we approximated vibration of effects by dividing the largest by the smallest effect estimate [i.e. ratio of odds ratio (ROR)]. RESULTS Among 97 eligible studies, 85 (87.6%) reported both harmful and protective relative effect estimates for an alcohol-breast cancer relationship, which ranged from 1.1 to 17.9 and 0.0 to 1.0, respectively. The RORs comparing the largest and smallest estimates in value ranged from 1.0 to 106.2, with a median of 3.0 [interquartile range (IQR) 2.0-5.2]. One-third (35, 36.1%) of the RORs were based on extreme effect estimates with at least three different model specification characteristics; the vast majority (87, 89.7%) had different exposure definitions or contrast levels. Similar vibrations of effect were observed when only extreme estimates with differences based on study populations and/or adjustment covariates were compared. CONCLUSIONS Most observational studies evaluating the impact of alcohol on breast cancer report relative effect estimates for the same associations that diverge by >2-fold. Therefore, observational studies should estimate the vibration of effects to provide insight regarding the stability of findings.

中文翻译:

酒精消费和乳腺癌风险的流行病学研究中的影响振动。

背景 不同的分析方法会影响观察性研究中估计的关联。我们评估了评估酒精对乳腺癌影响的观察性研究内部和之间报告的效应估计值的可变性。方法 我们在最近的酒精-乳腺癌荟萃分析中提取了最大有害、最大保护和最小(最接近零值 1.0)的相对风险估计值,并根据五个模型规范特征记录了它们的差异,包括暴露定义、暴露对比度水平、研究人群、调整协变量和/或模型方法。对于每项研究,我们通过将最大效应除以最小效应估计值[即优势比 (ROR)] 来近似效应振动。结果 在 97 项符合条件的研究中,85 (87. 6%) 报告了酒精与乳腺癌关系的有害和保护性相对效应估计值,分别介于 1.1 至 17.9 和 0.0 至 1.0 之间。比较最大和最小估计值的 ROR 范围从 1.0 到 106.2,中位数为 3.0 [四分位距 (IQR) 2.0-5.2]。三分之一 (35, 36.1%) 的 ROR 是基于具有至少三个不同模型规格特征的极端效应估计;绝大多数 (87, 89.7%) 有不同的曝光定义或对比度水平。当仅比较基于研究人群和/或调整协变量的差异的极端估计时,观察到类似的效果振动。结论 大多数评估酒精对乳腺癌影响的观察性研究报告了相同关联的相对效应估计值,这些关联的差异大于 2 倍。因此,观察性研究应估计效应的振动,以提供有关研究结果稳定性的洞察力。
更新日期:2020-01-23
down
wechat
bug