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对普通内科医学文献中倾向得分方法在多个治疗组中的应用综述。

A review of the use of propensity score methods with multiple treatment groups in the general internal medicine literature.

作者信息

Shurrab Mohammed, Ko Dennis T, Jackevicius Cynthia A, Tu Karen, Middleton Allan, Michael Faith, Austin Peter C

机构信息

Cardiology Department, Health Sciences North, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada.

Health Sciences North Research Institute, Sudbury, Ontario, Canada.

出版信息

Pharmacoepidemiol Drug Saf. 2023 Aug;32(8):817-831. doi: 10.1002/pds.5635. Epub 2023 May 16.

Abstract

BACKGROUND

Propensity score (PS) methods with two treatment groups (e.g., treated vs. control) is a well-established technique for reducing the effects of confounding in nonrandomized studies. However, researchers are often interested in comparing multiple interventions. PS methods have been modified to incorporate multiple exposures. We described available techniques for PS methods in multicategory exposures (≥3 groups) and examined their use in the medical literature.

METHODS

A comprehensive search was conducted for studies published in PubMed, Embase, Google Scholar, and Web of Science until February 27, 2023. We included studies using PS methods for multiple groups in general internal medicine research.

RESULTS

The literature search yielded 4088 studies (2616 from PubMed, 86 from Embase, 85 from Google Scholar, 1671 from Web of Science, five from other sources). In total, 264 studies using PS method for multiple groups were identified; 61 studies were on general internal medicine topics and included. The most commonly used method was that of McCaffrey et al., which was used in 26 studies (43%), where the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) method and corresponding inverse probabilities of treatment weights were estimated via generalized boosted models. The next most commonly used method was pairwise propensity-matched comparisons, which was used in 20 studies (33%). The method by Imbens et al. using a generalized propensity score was implemented in six studies (10%). Four studies (7%) used a conditional probability of being in a particular group given a set of observed baseline covariates where a multiple propensity score was estimated using a non-parsimonious multinomial logistic regression model. Four studies (7%) used a technique that estimates generalized propensity scores and then creates 1:1:1 matched sets, and one study (2%) used the matching weight method.

CONCLUSIONS

Many propensity score methods for multiple groups have been adopted in the literature. The TWANG method is the most commonly used method in the general medical literature.

摘要

背景

倾向得分(PS)方法用于两个治疗组(如治疗组与对照组)是一种成熟的技术,可减少非随机研究中混杂因素的影响。然而,研究人员通常对比较多种干预措施感兴趣。PS方法已被修改以纳入多种暴露情况。我们描述了多类别暴露(≥3组)中PS方法的可用技术,并研究了它们在医学文献中的应用。

方法

对截至2023年2月27日在PubMed、Embase、谷歌学术和科学网发表的研究进行了全面检索。我们纳入了在普通内科研究中使用PS方法进行多组比较的研究。

结果

文献检索产生了4088项研究(2616项来自PubMed,86项来自Embase,85项来自谷歌学术,1671项来自科学网,5项来自其他来源)。总共确定了264项使用PS方法进行多组比较的研究;61项研究涉及普通内科主题并被纳入。最常用的方法是麦卡弗里等人的方法,有26项研究(43%)使用了该方法,其中通过广义增强模型估计了非等效组加权与分析工具包(TWANG)方法及相应的治疗权重逆概率。第二常用的方法是成对倾向匹配比较,有20项研究(33%)使用了该方法。因本斯等人使用广义倾向得分的方法在6项研究(10%)中得到应用。4项研究(7%)使用了给定一组观察到的基线协变量时处于特定组的条件概率,其中使用非简约多项逻辑回归模型估计了多重倾向得分。4项研究(7%)使用了一种估计广义倾向得分然后创建1:1:1匹配集的技术,1项研究(2%)使用了匹配权重方法。

结论

文献中采用了许多用于多组比较的倾向得分方法。TWANG方法是普通医学文献中最常用的方法。

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