Private Practice, Damascus, Syria.
Department of orthodontics, CMH institute of dentistry Lahore, National University of Medical Sciences, Punjab, Pakistan.
PLoS One. 2024 Mar 19;19(3):e0298526. doi: 10.1371/journal.pone.0298526. eCollection 2024.
Orthodontic systematic reviews (SRs) use different methods to pool the individual studies in a meta-analysis when indicated. However, the number of studies included in orthodontic meta-analyses is relatively small. This study aimed to evaluate the direction of estimate changes of orthodontic meta-analyses (MAs) using different between-study variance methods considering the level of heterogeneity when few trials were pooled.
Search and study selection: Systematic reviews (SRs) published over the last three years, from the 1st of January 2020 to the 31st of December 2022, in six main orthodontic journals with at least one MA pooling five or lesser primary studies were identified. Data collection and analysis: Data were extracted from each eligible MA, which was replicated in a random effect model using DerSimonian and Laird (DL), Paule-Mandel (PM), Restricted maximum-likelihood (REML), Hartung Knapp and Sidik Jonkman (HKSJ) methods. The results were reported using median and interquartile range (IQR) for continuous data and frequencies for categorical data and analyzed using non-parametric tests. The Boruta algorithm was used to assess the significant predictors for the significant change in the confidence interval between the different methods compared to the DL method, which was only feasible using the HKSJ method.
146 MAs were included, most applying the random effect model (n = 111; 76%) and pooling continuous data using mean difference (n = 121; 83%). The median number of studies was three (range 2, 4), and the overall statistical heterogeneity (I2 ranged from 0 to 99% with a median of 68%). Close to 60% of the significant findings became non-significant when HKSJ was applied compared to the DL method and when the heterogeneity was present I2>0%. On the other hand, 30.43% of the non-significant meta-analyses using the DL method became significant when HKSJ was used when the heterogeneity was absent I2 = 0%.
Orthodontic MAs with few studies can produce different results based on the between-study variance method and the statistical heterogeneity level. Compared to DL, HKSJ method is overconservative when I2 is greater than 0% and may result in false positive findings when the heterogeneity is absent.
正畸系统评价(SRs)在有指征时会使用不同的方法对个体研究进行荟萃分析。然而,正畸荟萃分析中纳入的研究数量相对较少。本研究旨在评估在合并少数试验时,使用不同的研究间方差方法考虑异质性水平时,正畸荟萃分析(MA)的估计值变化方向。
搜索和研究选择:从 2020 年 1 月 1 日至 2022 年 12 月 31 日,在六本主要的正畸期刊中,检索过去三年发表的系统评价(SRs),至少有一篇 MA 合并了五项或更少的原始研究。数据收集和分析:从每个合格的 MA 中提取数据,使用随机效应模型在 DerSimonian 和 Laird(DL)、Paule-Mandel(PM)、限制最大似然(REML)、Hartung Knapp 和 Sidik Jonkman(HKSJ)方法中进行复制。结果以中位数和四分位距(IQR)表示连续数据,以频率表示分类数据,并使用非参数检验进行分析。使用 Boruta 算法评估与 DL 方法相比,不同方法之间置信区间显著变化的显著预测因子,仅在使用 HKSJ 方法时才可行。
纳入 146 篇 MA,其中大部分应用随机效应模型(n = 111;76%),并使用均数差值(n = 121;83%)合并连续数据。研究数量中位数为 3 项(范围 2 至 4),整体统计异质性(I2 范围为 0 至 99%,中位数为 68%)。与 DL 方法相比,当应用 HKSJ 方法时,近 60%的显著发现变得不显著,而当存在异质性(I2>0%)时。另一方面,当不存在异质性(I2=0%)时,使用 DL 方法的 30.43%非显著 MA 变得显著。
正畸 MA 中纳入的研究数量较少,可能会因研究间方差方法和统计异质性水平而产生不同的结果。与 DL 相比,当 I2 大于 0%时,HKSJ 方法过于保守,当异质性不存在时,可能导致假阳性发现。