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10.1183/13993003.02643-2020 http://scihub22266oqcxt.onion/10.1183/13993003.02643-2020 C7377211!7377211!32703773     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+Respir+J 2020 ; 56 (3): ä Nephropedia Template TP {{tp|p=32703773|t=2020. COVID-19 prediction models should adhere to methodological and reporting standards |pdf=|usr=}}{{32703773}} gab.com Text COVID-19 prediction models should adhere to methodological and reporting standards JO: Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=32703773 #FOAvip The coronavirus disease 2019 (COVID-19) pandemic has led to a proliferation of clinical prediction models to aid diagnosis, disease severity assessment and prognosis. A systematic review has identified 66 COVID-19 prediction models: concluding that all, with no exception, are at high risk of bias due to concerns surrounding the data quality, statistical analysis and reporting, and none are recommended for use [1]. Therefore, we read with interest the recent paper by Wuet al. [2] describing the development of a model to identify COVID-19 patients with severe disease on admission to facilitate triage. However, our enthusiasm was dampened by a number of concerns surrounding the design, analysis and reporting of the study which deserve highlighting to readers. Twit Text FOAVip COVID-19 prediction models should adhere to methodological and reporting standards ????Eur Respir J http://www.kidney.de/pget.php?&tw=1&pmid=32703773 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32703773 #FOAvip English Wikipedia <ref>{{Cite pmid|32703773}}</ref> COVID-19 prediction models should adhere to methodological and reporting standards #MMPMID32703773 Collins GS; van Smeden M; Riley RD Eur Respir J 2020[Sep]; 56 (3): ä PMID32703773show ga The coronavirus disease 2019 (COVID-19) pandemic has led to a proliferation of clinical prediction models to aid diagnosis, disease severity assessment and prognosis. A systematic review has identified 66 COVID-19 prediction models: concluding that all, with no exception, are at high risk of bias due to concerns surrounding the data quality, statistical analysis and reporting, and none are recommended for use [1]. Therefore, we read with interest the recent paper by Wuet al. [2] describing the development of a model to identify COVID-19 patients with severe disease on admission to facilitate triage. However, our enthusiasm was dampened by a number of concerns surrounding the design, analysis and reporting of the study which deserve highlighting to readers. äCOVID-19 prediction models should adhere to methodological and reporti(epmc).pdf DeepDyve Pubget Overpricing