Faculty Opinions recommendation of Hypothermia in animal models of acute ischaemic stroke: a systematic review and meta-analysis.

ObjectiveContrast extravasation (CE) after endovascular therapy (EVT) is commonly present in acute ischaemic stroke (AIS) patients. Substantial uncertainties remain about the relationship between CE and the outcomes of EVT in patients with AIS. Therefore, we aimed to evaluate this association.DesignA systematic review and meta-analysis of published studies were performed.Data sourceWe systematically searched the Medline and Embase databases for relevant clinical studies. The last literature search in databases was performed in June 2020.Eligibility criteria for study selectionWe included studies exploring the associations between CE and the outcomes of EVT in patients with AIS undergoing EVT.Data extraction and synthesisTwo reviewers extracted relevant information and data from each article independently. We pooled ORs with CIs using a random-effects meta-analysis to calculate the associations between CE and outcomes of EVT. The magnitude of heterogeneity between estimates was quantified with the I2 statistic with 95% CIs.ResultsFifteen observational studies that enrolled 1897 patients were included. Patients with CE had higher risks of poor functional outcome at discharge (2.38, 95% CI 1.45 to 3.89 p=0.001; n=545) and poor functional outcome at 90 days (OR 2.16, 95% CI 1.20 to 3.90; n=1194). We found no association between CE and in-hospital mortality (OR 0.95, 95% CI 0.27 to 3.30; n=376) or 90-day mortality (OR 1.38, 95% CI 0.81 to 2.36; n=697) after EVT. Moreover, CE was associated with higher risks of post-EVT intracranial haemorrhage (ICH) (OR 6.68, 95% CI 3.51 to 12.70; n=1721) and symptomatic ICH (OR 3.26, 95% CI 1.97 to 5.40; n=1092).ConclusionsThis systematic review and meta-analysis indicates that in patients with AIS undergoing EVT, CE is associated with higher risks of unfavourable functional outcomes and ICH. Thus, we should pay more attention to CE in patients with AIS undergoing EVT.

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Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging

BMJ Open ◽

10.1136/bmjopen-2020-043665 ◽

2021 ◽

Vol 11 (3) ◽

pp. e043665

Author(s):

Srinivasa Rao Kundeti ◽

Manikanda Krishnan Vaidyanathan ◽

Bharath Shivashankar ◽

Sankar Prasad Gorthi

Keyword(s):

Artificial Intelligence ◽

Systematic Review ◽

Diagnostic Accuracy ◽

Ischaemic Stroke ◽

Study Protocol ◽

Systematic Reviews ◽

Acute Ischaemic Stroke ◽

Meta Analysis ◽

Large Vessel ◽

Sufficient Data

IntroductionThe use of artificial intelligence (AI) to support the diagnosis of acute ischaemic stroke (AIS) could improve patient outcomes and facilitate accurate tissue and vessel assessment. However, the evidence in published AI studies is inadequate and difficult to interpret which reduces the accountability of the diagnostic results in clinical settings. This study protocol describes a rigorous systematic review of the accuracy of AI in the diagnosis of AIS and detection of large-vessel occlusions (LVOs).Methods and analysisWe will perform a systematic review and meta-analysis of the performance of AI models for diagnosing AIS and detecting LVOs. We will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-analyses Protocols guidelines. Literature searches will be conducted in eight databases. For data screening and extraction, two reviewers will use a modified Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. We will assess the included studies using the Quality Assessment of Diagnostic Accuracy Studies guidelines. We will conduct a meta-analysis if sufficient data are available. We will use hierarchical summary receiver operating characteristic curves to estimate the summary operating points, including the pooled sensitivity and specificity, with 95% CIs, if pooling is appropriate. Furthermore, if sufficient data are available, we will use Grading of Recommendations, Assessment, Development and Evaluations profiler software to summarise the main findings of the systematic review, as a summary of results.Ethics and disseminationThere are no ethical considerations associated with this study protocol, as the systematic review focuses on the examination of secondary data. The systematic review results will be used to report on the accuracy, completeness and standard procedures of the included studies. We will disseminate our findings by publishing our analysis in a peer-reviewed journal and, if required, we will communicate with the stakeholders of the studies and bibliographic databases.PROSPERO registration numberCRD42020179652.

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Diagnostic accuracy of computed tomography perfusion in the prediction of haemorrhagic transformation and patient outcome in acute ischaemic stroke: A systematic review and meta-analysis

European Stroke Journal ◽

10.1177/2396987319883461 ◽

2019 ◽

Vol 5 (1) ◽

pp. 4-16 ◽

Cited By ~ 2

Author(s):

Olushola D Adebayo ◽

Gary Culpan

Keyword(s):

Computed Tomography ◽

Patient Outcome ◽

Systematic Review ◽

Diagnostic Accuracy ◽

Ischaemic Stroke ◽

Acute Ischaemic Stroke ◽

Meta Analysis ◽

Haemorrhagic Transformation ◽

Computed Tomography Perfusion

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Effect of uric acid in animal models of ischaemic stroke: A systematic review and meta-analysis

Journal of Cerebral Blood Flow & Metabolism ◽

10.1177/0271678x20967459 ◽

2020 ◽

pp. 0271678X2096745

Author(s):

Alicia Aliena-Valero ◽

Júlia Baixauli-Martín ◽

María Castelló-Ruiz ◽

Germán Torregrosa ◽

David Hervás ◽

...

Keyword(s):

Systematic Review ◽

Uric Acid ◽

Animal Models ◽

Infarct Size ◽

Ischaemic Stroke ◽

Meta Analysis ◽

Preclinical Research ◽

Neuroprotective Effects ◽

Item Checklist ◽

Study Heterogeneity

Addition of uric acid (UA) to thrombolytic therapy, although safe, showed limited efficacy in improving patients’ stroke outcome, despite alleged neuroprotective effects of UA in preclinical research. This systematic review assessed the effects of UA on brain structural and functional outcomes in animal models of ischaemic stroke. We searched Medline, Embase and Web of Science to identify 16 and 14 eligible rodent studies for qualitative and quantitative synthesis, respectively. Range of evidence met 10 of a possible 13 STAIR criteria. Median (Q1, Q3) quality score was 7.5 (6, 10) on the CAMARADES 15-item checklist. For each outcome, we used standardised mean difference (SMD) as effect size and random-effects modelling. Meta-analysis showed that UA significantly reduced infarct size (SMD: −1.18; 95% CI [−1.47, −0.88]; p < 0.001), blood-brain barrier (BBB) impairment/oedema (SMD: −0.72; 95% CI [−0.97, −0.48]; p < 0.001) and neurofunctional deficit (SMD: −0.98; 95% CI [−1.32, −0.63]; p < 0.001). Overall, there was low to moderate between-study heterogeneity and sizeable publication bias. In conclusion, published rodent data suggest that UA improves outcome following ischaemic stroke by reducing infarct size, improving BBB integrity and ameliorating neurofunctional condition. Specific recommendations are given for further high-quality preclinical research required to better inform clinical research.

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