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      Systematic Review of Patients Presenting With Suspected Myocardial Infarction and Nonobstructive Coronary Arteries

      Author(s): 1 , 1 , 1 , 1 , 1
      Publication date Created:
      Publication date (Print):
      Journal: Circulation
      Publisher: Ovid Technologies (Wolters Kluwer Health)

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          Abstract

          Myocardial infarction with nonobstructive coronary arteries (MINOCA) is a puzzling clinical entity with no previous evaluation of the literature. This systematic review aims to (1) quantify the prevalence, risk factors, and 12-month prognosis in patients with MINOCA, and (2) evaluate potential pathophysiological mechanisms underlying this disorder.

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          Quantifying heterogeneity in a meta-analysis.

          Julian P T Higgins, Simon G Thompson (2002)
          The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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            Meta-analysis in clinical trials

            Rebecca DerSimonian, Nan Laird (1986)
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              Third universal definition of myocardial infarction.

              Kristian Thygesen, Joseph Alpert, Allan S. Jaffe … (2012)
              Article 0 comments Cited 387 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: Circulation
                Abbreviated Title: Circulation
                Publisher: Ovid Technologies (Wolters Kluwer Health)
                ISSN (Print): 0009-7322
                ISSN (Electronic): 1524-4539
                Publication date Created: March 10 2015
                Publication date (Print): March 10 2015
                Volume: 131
                Issue: 10
                Pages: 861-870
                Affiliations
                [1 ]From Discipline of Medicine, University of Adelaide, South Australia (S.P., R.P.D., R.T., J.F.B.); Cardiology Department, Queen Elizabeth Hospital, Adelaide, South Australia (S.P., R.P.D., R.T., J.F.B.); Discipline of Psychiatry, University of Adelaide, South Australia (T.A.); Center for Outcomes Research and Evaluation (CORE), Yale-New Haven Hospital, New Haven, CT (R.P.D.); Department of Internal Medicine, Yale School of Medicine, New Haven, CT (R.P.D.); and Cardiology Department, Lyell McEwin...
                Article
                DOI: 10.1161/CIRCULATIONAHA.114.011201
                PubMed ID: 25587100
                SO-VID: bbb3e0a6-cb74-4163-b57d-94aab1bf9e0f
                Copyright © © 2015
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