lunes, 24 de junio de 2013

The geometric increase in meta-analyses from china ... [PLoS One. 2013] - PubMed - NCBI

The geometric increase in meta-analyses from china ... [PLoS One. 2013] - PubMed - NCBI

PLoS One. 2013 Jun 12;8(6):e65602. doi: 10.1371/journal.pone.0065602. Print 2013.

The geometric increase in meta-analyses from china in the genomic era.


Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America ; Stanford Prevention Research Center, Department of Medicine and Department of Health Research and Policy, Stanford University School of Medicine, and Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, California, United States of America.


Meta-analyses are increasingly popular. It is unknown whether this popularity is driven by specific countries and specific meta-analyses types. PubMed was used to identify meta-analyses since 1995 (last update 9/1/2012) and catalogue their types and country of origin. We focused more on meta-analyses from China (the current top producer of meta-analyses) versus the USA (top producer until recently). The annual number of meta-analyses from China increased 40-fold between 2003 and 2011 versus 2.4-fold for the USA. The growth of Chinese meta-analyses was driven by genetics (110-fold increase in 2011 versus 2003). The HuGE Navigator identified 612 meta-analyses of genetic association studies published in 2012 from China versus only 109 from the USA. We compared in-depth 50 genetic association meta-analyses from China versus 50 from USA in 2012. Meta-analyses from China almost always used only literature-based data (92%), and focused on one or two genes (94%) and variants (78%) identified with candidate gene approaches (88%), while many USA meta-analyses used genome-wide approaches and raw data. Both groups usually concluded favorably for the presence of genetic associations (80% versus 74%), but nominal significance (P<0 .05="" a="" an="" and="" are="" art="" associations.="" associations="" avoid="" candidate="" china="" chinese-language="" claimed="" data="" false-positive="" false-positives="" flood="" from="" gene="" genetic="" genome-wide="" global="" group.="" impressive="" in="" included="" incorporate="" inferences="" is="" journals.="" likely="" meta-analyses.="" meta-analyses="" most="" need="" neglected="" of="" often="" on="" overall="" p="" particularly="" published="" rise="" since="" state-of-the="" statistical="" studies="" sufficed="" the="" there="" to="" typically="" urgent="">


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