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大核心梗死急性缺血性脑卒中机械取栓临床试验的常见数据元素分析。

Common Data Elements Analysis of Mechanical Thrombectomy Clinical Trials for Acute Ischemic Stroke with Large Core Infarct.

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Clin Neuroradiol. 2023 Jun;33(2):307-317. doi: 10.1007/s00062-022-01239-x. Epub 2022 Dec 15.

Abstract

BACKGROUND

Clinical trials addressing large core acute ischemic stroke (AIS) are ongoing across multiple international groups. Future development of clinical guidelines depends on meta-analyses of these trials calling for a degree of homogeneity of elements across the studies. This common data element study aims to provide an overview of key features of pertinent large core infarct trials.

METHODS

PubMed and ClinicalTrials.gov databases were screened for published and ongoing clinical trials assessing mechanical thrombectomy in patients with AIS with large core infarct. Nested Knowledge AutoLit living review platform was utilized to categorize primary and secondary outcomes as well as inclusion and exclusion criteria for patient selection in the trials.

RESULTS

The most reported data element was ASPECTS score but with varied definitions of what constitutes large core. Non-utility-weighted modified Rankin score (mRS) was reported in 6/7 studies as the primary outcome, while the utility-weighted mRS was the outcome of interest in the TESLA trial, all of them at the 3 months mark, with only LASTE looking for mRS shift at the 6 months mark. Secondary outcomes had more variations. Mortality is reported separately only in 4/7 trials, all at the 3‑month mark. Additionally, the TENSION trial reported the frequency of serious adverse events, including mortality, at the 1‑week and 12-month mark.

DISCUSSION

Overall, in large core trials there is a large degree of heterogeneity in the collected data elements. Differences in definition and timepoints render reaching a unified standard difficult, which hinders high quality meta-analyses and cohesive evidence-driven synthesis.

摘要

背景

多个国际团队正在进行针对大型核心急性缺血性卒中(AIS)的临床试验。未来临床指南的制定取决于对这些试验进行荟萃分析,这需要研究之间在某些元素上具有一定程度的同质性。本共同数据元素研究旨在概述相关大型核心梗死试验的关键特征。

方法

通过 PubMed 和 ClinicalTrials.gov 数据库,筛选出评估机械取栓治疗大型核心梗死 AIS 患者的已发表和正在进行的临床试验。利用嵌套知识 AutoLit 实时审查平台对试验中的主要和次要结局以及患者选择的纳入和排除标准进行分类。

结果

报告最多的数据元素是 ASPECTS 评分,但对何为大型核心的定义各不相同。6/7 项研究报告了非效用加权改良 Rankin 评分(mRS)作为主要结局,而 TESLA 试验则关注效用加权 mRS,均在 3 个月时报告,只有 LASTE 研究在 6 个月时报告 mRS 变化。次要结局的变化更多。只有 4/7 项试验分别单独报告了死亡率,均在 3 个月时报告。此外,TENSION 试验还报告了严重不良事件(包括死亡率)的频率,分别在 1 周和 12 个月时报告。

讨论

总体而言,在大型核心试验中,所收集的数据元素存在很大程度的异质性。定义和时间点的差异使得难以达成统一标准,这阻碍了高质量的荟萃分析和有凝聚力的循证综合。

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