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            <title><![CDATA[Ticagrelor vs Clopidogrel in addition to Aspirin in minor ischemic stroke/ transient ischemic attack—Protocol for a systematic review and network meta-analysis]]></title>
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            <link>https://www.novareader.co/book/isbn/10.1371/journal.pone.0250553</link>
            <description><![CDATA[<div class="section" id="sec001"><h3 class="BHead" id="nov000-1">Introduction</h3><p class="para" id="N65543">Patients with minor ischemic stroke or transient ischemic attack represent a high-risk population for recurrent stroke. No direct comparison exists comparing dual antiplatelet therapy regimens—namely, Ticagrelor and Aspirin versus Clopidogrel and Aspirin. This systematic review and network meta-analysis (NMA) will examine the efficacy of these two different antiplatelet regimens in preventing recurrent stroke and mortality up to 30 days.</p></div><div class="section" id="sec002"><h3 class="BHead" id="nov000-2">Methods and analysis</h3><p class="para" id="N65549">MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) will be searched with the assistance of a medical information specialist. Two independent reviewers will screen studies for inclusion; eligible studies will include randomized controlled trials that enrolled adults presenting with acute minor ischemic stroke or transient ischemic attack and compared one or more of the interventions against each other and/or a control. The primary outcomes will be recurrent ischemic stroke up to 30 days from symptom onset. Secondary outcomes will include safety outcomes (I.e. major bleeding and mortality), functional disability, and outcomes up to 90 days from symptom onset. A Bayesian approach to NMA will be implemented using the BUGSnet function in R Software. Between group comparisons for time-to-event (TTE) and dichotomous outcomes will be presented in terms of hazard ratios and odds ratios with 95% credible intervals, respectively. Secondary effect measures of treatment ranking will also be estimated.</p></div><div class="section" id="sec003"><h3 class="BHead" id="nov000-3">Ethics and dissemination</h3><p class="para" id="N65555">No formal research ethics approval are necessary. We will disseminate our findings through scientific conference presentations, peer-reviewed publications, and social media/the press. The findings from this review will aid clinicians in decision-making on the choice of antithrombotic therapy in a high-risk stroke population and could be important in the development of future treatment trials and guidelines.</p><p class="para" id="N65557">Registration ID with Open Science Framework: 10.17605/OSF.IO/XDJYZ.</p></div>]]></description>
            <pubDate><![CDATA[2021-04-28T00:00]]></pubDate>
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            <title><![CDATA[The copy number variation and stroke (CaNVAS) risk and outcome study]]></title>
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            <link>https://www.novareader.co/book/isbn/10.1371/journal.pone.0248791</link>
            <description><![CDATA[<div class="section" id="sec001"><h3 class="BHead" id="nov000-1">Background and purpose</h3><p class="para" id="N65543">The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap.</p></div><div class="section" id="sec002"><h3 class="BHead" id="nov000-2">Methods</h3><p class="para" id="N65549">Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and exome arrays, with case measures of stroke outcome. To evaluate CNV-associated stroke risk and stroke outcome it is planned to: 1) perform Risk Discovery using several analytic approaches to identify CNVs that are associated with the risk of IS and its subtypes, across the age-, sex- and ethnicity-spectrums; 2) perform Risk Replication and Extension to determine whether the identified stroke-associated CNVs replicate in other ethnically diverse datasets and use biomarker data (e.g. methylation, proteomic, RNA, miRNA, etc.) to evaluate how the identified CNVs exert their effects on stroke risk, and lastly; 3) perform outcome-based Replication and Extension analyses of recent findings demonstrating an inverse relationship between CNV burden and stroke outcome at 3 months (mRS), and then determine the key CNV drivers responsible for these associations using existing biomarker data.</p></div><div class="section" id="sec003"><h3 class="BHead" id="nov000-3">Results</h3><p class="para" id="N65555">The results of an initial CNV evaluation of 50 samples from each participating dataset are presented demonstrating that the existing GWAS and exome chip data are excellent for the planned CNV analyses. Further, some samples will require additional considerations for analysis, however such samples can readily be identified, as demonstrated by a sample demonstrating clonal mosaicism.</p></div><div class="section" id="sec004"><h3 class="BHead" id="nov000-4">Conclusion</h3><p class="para" id="N65561">The CaNVAS study will cost-effectively leverage the numerous advantages of using existing case-control data sets, exploring the relationships between CNV and IS and its subtypes, and outcome at 3 months, in both men and women, in those of African and European-Caucasian descent, this, across the entire adult-age spectrum.</p></div>]]></description>
            <pubDate><![CDATA[2021-04-19T00:00]]></pubDate>
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