统计异质性方法是否会影响元分析的结果? 一个超流行病学研究
Samer Mheissen1, Haris Khan2, David Normando3
1Private Practice, Damascus, Syria.
PloS one
|March 19, 2024
概括
只有少数研究的正统牙元分析根据统计方法和异质性产生了不同的结果. 哈顿·纳普和西迪克·克曼 (HKSJ) 方法在异质性方面是保守的,但在没有异质性的情况下可能产生错误阳性.
科学领域:
- 矯正牙科 矯正牙科是一種矯正牙科.
- 生物统计学 生物统计学
- 基于证据的牙科.
背景情况:
- ортодонтика系统评价 (SRs) 经常使用元分析 (MA) 来汇集研究数据.
- ортодонтика研究的一个局限性是许多元分析中包含的研究数量很少.
- 有不同的方法可以在元分析中汇集数据,这可能会影响结果.
研究的目的:
- 为了评估如何改变效果估计发生在正统牙科的元分析时,使用不同的方法来处理研究之间的差异.
- 评估统计异质度水平对这些估计变化的影响,当很少有研究被聚合在一起时.
主要方法:
- 确定了2020-2022年期间发表的从六个有5个或更少初级研究的正统牙科期刊中进行的系统性审查.
- 从符合条件的元分析中获得的数据被重新分析,使用DerSimonian和Laird (DL),Paule-Mandel (PM),限制最大概率 (REML) 和Hartung Knapp和Sidik Jonkman (HKSJ) 方法的随机效应模型.
- 与DL方法相比,Boruta算法确定了信心区间变化的显著预测因素.
主要成果:
- 包括146个元分析,主要使用随机效应模型 (76%) 和连续数据的平均差异 (83%).
- 每次元分析的研究中位数为3项,具有相当大的异质性 (I2中位数为68%).
- 与DL相比,当异质性 (I2 > 0%) 存在时,HKSJ方法使近60%的显著发现变得不显著. 相反,30.43%的非显著发现在异质性缺失时,在HKSJ中变得显著 (I2 = 0%).
结论:
- 研究间差异方法的选择显著影响了对少数研究的 ортодонтических元分析的结果.
- 当统计异质性存在时,HKSJ方法似乎过于保守 (I2 > 0%).
- 在异质性缺失的情况下,HKSJ方法可能会导致错误的阳性结果 (I2 = 0%).
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