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10.1016/j.jclinepi.2015.05.030 http://scihub22266oqcxt.onion/10.1016/j.jclinepi.2015.05.030 C5035149!5035149 !26092287     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26092287 &cmd=llinks): Failed to open stream: HTTP request failed! 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Contour plot assessment of existing meta-analyses confirms robust association of statin use and acute kidney injury risk |pdf=|usr=}}{{26092287 }} gab.com Text Contour plot assessment of existing meta-analyses confirms robust association of statin use and acute kidney injury risk JO: J Clin Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=26092287 #FOAvip OBJECTIVES: Robustness of an existing meta-analysis can justify decisions on whether to conduct an additional study addressing the same research question. We illustrate the graphical assessment of the potential impact of an additional study on an existing meta-analysis using published data on statin use and the risk of acute kidney injury. STUDY DESIGN AND SETTING: A previously proposed graphical augmentation approach is used to assess the sensitivity of the current test and heterogeneity statistics extracted from existing meta-analysis data. In addition, we extended the graphical augmentation approach to assess potential changes in the pooled effect estimate after updating a current meta-analysis and applied the three graphical contour definitions to data from meta-analyses on statin use and acute kidney injury risk. RESULTS: In the considered example data, the pooled effect estimates and heterogeneity indices demonstrated to be considerably robust to the addition of a future study. Supportingly, for some previously inconclusive meta-analyses, a study update might yield statistically significant kidney injury risk increase associated with higher statin exposure. CONCLUSIONS: The illustrated contour approach should become a standard tool for the assessment of the robustness of meta-analyses. It can guide decisions on whether to conduct additional studies addressing a relevant research question. Twit Text FOAVip Contour plot assessment of existing meta-analyses confirms robust association of statin use and acute kidney injury risk ????J Clin Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=26092287 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26092287 #FOAvip English Wikipedia <ref>{{Cite pmid|26092287 }}</ref> Contour plot assessment of existing meta-analyses confirms robust association of statin use and acute kidney injury risk #MMPMID26092287 Chevance A ; Schuster T ; Steele R ; Ternès N ; Platt RW J Clin Epidemiol 2015[Oct]; 68 (10 ): 1138-43 PMID26092287 show ga OBJECTIVES: Robustness of an existing meta-analysis can justify decisions on whether to conduct an additional study addressing the same research question. We illustrate the graphical assessment of the potential impact of an additional study on an existing meta-analysis using published data on statin use and the risk of acute kidney injury. STUDY DESIGN AND SETTING: A previously proposed graphical augmentation approach is used to assess the sensitivity of the current test and heterogeneity statistics extracted from existing meta-analysis data. In addition, we extended the graphical augmentation approach to assess potential changes in the pooled effect estimate after updating a current meta-analysis and applied the three graphical contour definitions to data from meta-analyses on statin use and acute kidney injury risk. RESULTS: In the considered example data, the pooled effect estimates and heterogeneity indices demonstrated to be considerably robust to the addition of a future study. Supportingly, for some previously inconclusive meta-analyses, a study update might yield statistically significant kidney injury risk increase associated with higher statin exposure. CONCLUSIONS: The illustrated contour approach should become a standard tool for the assessment of the robustness of meta-analyses. It can guide decisions on whether to conduct additional studies addressing a relevant research question. |*Meta-Analysis as Topic [MESH] |Acute Kidney Injury/*chemically induced/epidemiology [MESH] |Data Interpretation, Statistical [MESH] |Humans [MESH] |Hydroxymethylglutaryl-CoA Reductase Inhibitors/administration & dosage/*adverse effects [MESH] |Models, Statistical [MESH] |Propensity Score [MESH] |Research Design [MESH]Contour plot assessment of existing meta-analyses confirms robust asso(epmc).pdf DeepDyve Pubget Overpricing