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Sulfonylurea drugs for people with severe hemispheric ischemic stroke

Linlin Fan, Jin Xu, Tao Wang, Kun Yang, Xuesong Bai, Wu-Yang Yang

Cochrane Database of Systematic Reviews, 2025

621 participants · 3 citations

Abstract

BACKGROUND

Large hemispheric infarction (LHI), caused by occlusion of the internal carotid or middle cerebral artery, is the most malignant type of supratentorial ischemic stroke. Due to severe intracranial edema, mortality fluctuates between 53% and 78%, even after the most effective medical treatment. Decompressive craniectomy can reduce mortality by approximately 17% to 36%, but the neurological outcomes are not satisfactory, and there are contraindications to surgery. Therapeutic hypothermia shows promising effects in preclinical research, but it causes many complications, and clinical studies have not confirmed its efficacy. Glibenclamide is a type of sulfonylurea. Preclinical research shows that glibenclamide can reduce mortality and brain edema and improve neurological outcomes in animal models of ischemic stroke. Sulfonylureas may be a promising treatment for individuals with LHI.

OBJECTIVES

To evaluate the effects of sulfonylurea drugs in people with large hemispheric ischemic stroke.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, five other databases, and three trials registers. We also searched gray literature sources, checked the bibliographies of included studies and relevant systematic reviews, and used Cited Reference Search in Google Scholar. The latest search date was 23 March 2024.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) that compared sulfonylureas with placebo, hypothermia, or usual care in people with severe hemispheric…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 621 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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