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Association between Thrombomodulin Polymorphisms and Coronary Artery Disease Risk: A Meta-Analysis

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      The associations between the thrombomodulin (TM) polymorphisms and coronary artery disease (CAD) risk remain controversial. The aim of this study was to evaluate the association of TM polymorphisms with CAD susceptibility using a meta-analysis approach.


      All eligible studies were identified through a search of PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) before February 2014. The associations between the TM polymorphisms and CAD risk was assessed by odds ratios (ORs) and 95% confidence intervals (CIs).


      A total of 14 case-control studies, including 5493 cases and 8297 controls, were eventually collected. There was a significant association between TM -33G/A polymorphism and CAD risk (OR=1.61; 95% CI, 1.35–1.92; I 2 =15%). The TM Ala455Val polymorphism was also associated with a significantly increased CAD risk (OR=1.14; 95% CI, 1.05–1.24; I 2 =0%). These results remained statistically significant when the adjusted ORs were combined.


      Our results suggest that TM-33G/A and Ala455Val polymorphisms are risk factors for CAD.

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      Most cited references 22

      • Record: found
      • Abstract: found
      • Article: not found

      Bias in meta-analysis detected by a simple, graphical test.

      Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision. In the eight pairs of meta-analysis and large trial that were identified (five from cardiovascular medicine, one from diabetic medicine, one from geriatric medicine, one from perinatal medicine) there were four concordant and four discordant pairs. In all cases discordance was due to meta-analyses showing larger effects. Funnel plot asymmetry was present in three out of four discordant pairs but in none of concordant pairs. In 14 (38%) journal meta-analyses and 5 (13%) Cochrane reviews, funnel plot asymmetry indicated that there was bias. A simple analysis of funnel plots provides a useful test for the likely presence of bias in meta-analyses, but as the capacity to detect bias will be limited when meta-analyses are based on a limited number of small trials the results from such analyses should be treated with considerable caution.
        • Record: found
        • Abstract: not found
        • Article: not found

        Executive summary: heart disease and stroke statistics--2012 update: a report from the American Heart Association.

          • Record: found
          • Abstract: not found
          • Article: not found

          Structure and function of thrombomodulin: a natural anticoagulant.

           P Majerus,  W Dittman (1990)

            Author and article information

            Emergency Center, Ji’nan Sixth People’s Hospital, Zhangqiu, Shandong Province, China
            Author notes
            Corresponding Author: Siliang Zheng, e-mail: zhengsl0531@

            Study Design


            Data Collection


            Statistical Analysis


            Data Interpretation


            Manuscript Preparation


            Literature Search


            Funds Collection


            These authors contributed equally to this work

            Med Sci Monit
            Med. Sci. Monit
            Medical Science Monitor
            Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
            International Scientific Literature, Inc.
            10 August 2014
            : 20
            : 1407-1414
            25108690 4138070 10.12659/MSM.890717 890717
            © Med Sci Monit, 2014

            This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License

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