Medicine, 2019 · DOI: http://dx.doi.org/10.1097/MD.0000000000015384 · Published: April 1, 2019
Ischemic stroke is a major global health problem that often results in lasting disability or death. This study aims to use overview and network meta-analysis to find effective interventions for reducing infarct volume and improving neurobehavioral scores in animal models of ischemic stroke. The researchers will conduct a thorough search of PubMed and Embase for relevant systematic reviews. They will then assess the quality of these reviews and the risk of bias in randomized controlled trials (RCTs) included in those reviews. The study will use infarct volume and neurobehavioral score as primary and secondary outcomes, respectively. The results will be submitted for publication in a peer-reviewed journal.
The study aims to provide a reference for further clinical practice by identifying the most effective interventions in animal models.
The results can be compared with clinical trial results to obtain a more credible therapeutic effect of the interventions.
The comprehensive analysis of animal model experimental results can help find the most effective interventions in animal models of cerebral ischemia.