scholarly journals Susceptibility vessel sign as a predictor for recanalization and clinical outcome in acute ischaemic stroke: A systematic review and meta-analysis

2021 ◽  
Vol 94 ◽  
pp. 159-165
Author(s):  
Si Zhao Tang ◽  
Jon Sen ◽  
Yong Geng Goh ◽  
Gopinathan Anil
Keyword(s):  
Systematic Review ◽  
Clinical Outcome ◽  
Ischaemic Stroke ◽  
Acute Ischaemic Stroke ◽  
Meta Analysis

Association of serum lipids with clinical outcome in acute ischaemic stroke: A systematic review and meta-analysis

2019 ◽  
Vol 59 ◽  
pp. 236-244 ◽  
Author(s):  
Qiwen Deng ◽  
Shuo Li ◽  
Hanqing Zhang ◽  
Huan Wang ◽  
Zhengtian Gu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Outcome ◽  
Ischaemic Stroke ◽  
Acute Ischaemic Stroke ◽  
Serum Lipids ◽  
Meta Analysis

scholarly journals Contrast extravasation and outcome of endovascular therapy in acute ischaemic stroke: a systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e044917
Author(s):  
Tao Xu ◽  
You Wang ◽  
Jinxian Yuan ◽  
Yangmei Chen ◽  
Haiyan Luo
Keyword(s):  
Systematic Review ◽  
Ischaemic Stroke ◽  
Functional Outcome ◽  
Endovascular Therapy ◽  
Acute Ischaemic Stroke ◽  
Data Extraction ◽  
Meta Analysis ◽  
Poor Functional Outcome ◽  
Eligibility Criteria ◽  
Contrast Extravasation

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.

scholarly journals 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 ◽  
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.

scholarly journals Hypothermia in animal models of acute ischaemic stroke: a systematic review and meta-analysis

Brain ◽  
2007 ◽  
Vol 130 (12) ◽  
pp. 3063-3074 ◽  
Author(s):  
H. B. van der Worp ◽  
E. S. Sena ◽  
G. A. Donnan ◽  
D. W. Howells ◽  
M. R. Macleod
Keyword(s):  
Systematic Review ◽  
Animal Models ◽  
Ischaemic Stroke ◽  
Acute Ischaemic Stroke ◽  
Meta Analysis

scholarly journals Susceptibility vessel sign as a predictor for recanalization and clinical outcome in acute ischaemic stroke: A Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Si Zhao Tang ◽  
Jon Sen
Keyword(s):  
Clinical Outcome ◽  
Ischaemic Stroke ◽  
Acute Ischaemic Stroke ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Intravenous Thrombolysis ◽  
Qualitative Synthesis ◽  
Poor Clinical Outcome ◽  
Significant Difference ◽  
Quantitative Synthesis

AbstractT2*-weighted MRI using GRE and SWI sequences can potentially prognosticate the recanalization rate and clinical outcomes in patients with acute ischaemic stroke, using susceptibility vessel sign (SVS) and prominent hypointense vessel sign (PHVS).A literature search on PubMed, EMBASE databases and other sources from inception up to 01 February 2020 was conducted. 15 studies which reported SVS and PHVS were included in qualitative synthesis. 9 studies on SVS were included in quantitative synthesis i.e. meta-analysis.Meta-analysis did not show any significant difference in the recanalization rate between SVS (+) group and SVS (-) group (RR = 0.95, 95% CI = 0.87–1.05, p = 0.33). Treatment subgroup analysis (intravenous thrombolysis, IVT- or mechanical thrombectomy, MT-only) does not show significant association between the SVS and IVT-only (RR = 0.73, 95% CI = 0.51-1.05, P=0.09); or MT-only groups (RR = 0.99, 95% CI = 0.90-1.09, P=0.90). No significant association between poor clinical outcome at 3 months and presence of SVS (RR = 1.42, 95% CI = 0.79–2.57, p = 0.24). Treatment subgroup analysis revealed significant association of the SVS and poor clinical outcome at 3 months in the MT-only (RR = 0.67, 95% CI = 0.55–0.82, p = 0.0001) or no thrombolytic treatment (RR = 2.83, 95% CI = 1.69-4.75, p < 0.0001).In conclusion, there is a significant association between the presence of SVS and poor clinical outcome in patients who underwent MT or without treatment, and no definitive association between the presence of SVS and recanalization rate for acute ischemic stroke.

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