Risk prediction of Metabolic and Cardio-Cerebrovascular Diseases in Myeloid Leukaemia: A meta-analysis

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Risk prediction of Metabolic and Cardio-Cerebrovascular Diseases in Myeloid Leukaemia: A meta-analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Risk prediction of Metabolic and Cardio-Cerebrovascular Diseases in Myeloid Leukaemia: A meta-analysis Tsegahun Worku Brhanie, Belayneh Worku Brhanie This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4647921/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: In persons with leukemia, cardiovascular diseases are a major source of morbidity and mortality. Since metabolic abnormalities are cardiovascular risk factors, they are also related to cardiovascular problems in leukemic patients. Methods: Utilizing research from the databases of Mendeley, Google Scholar, and PubMed from October 6–October 25, 2021. "Acute myeloid leukemia" or "chronic myeloid leukemia" "polycythemia Vera" or "Essential thrombocythemia" or "myelofibrosis" or "myelodysplastic syndrome" as well as "metabolic" or "cardiovascular" or "cerebrovascular disorders" are search terms. The analysis includes 12 papers totaling 4550 CML cases that met the inclusion criteria. We utilized a random effect model to calculate each study's odd ratio, relative risk, and risk difference with a 95% confidence interval. The publication bias and heterogeneity were examined using a funnel plot and an I test. Full Text Additional Declarations No competing interests reported. Supplementary Files ManuscriptCVD.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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