Real world data in mechanical thrombectomy: who are we losing to follow-up?

ABSTRACT:

Background

Missing outcome data (MOD) is a common problem in clinical trials and registries, and a potential bias when drawing conclusions from these data. Identifying factors associated with MOD may help to increase follow-up rates and assess the need for imputation strategies. We investigated MOD in a multicenter, prospective registry study of mechanical thrombectomy (MT) in large vessel occlusion ischemic stroke.

Methods

13 082 patients enrolled in the German Stroke Registry-Endovascular Treatment from May 2015 to December 2021 were analyzed with regard to MOD (90 day modified Rankin Scale, mRS). Univariate logistic regression analyses identified factors unbalanced between patients with and without MOD. Subgroup analyses were performed to identify patients for whom increa

SUBMITTER: Hahn M 

PROVIDER: S-EPMC11041564 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature