TY - JOUR T1 - COVID-19 prediction models should adhere to methodological and reporting standards JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.02643-2020 VL - 56 IS - 3 SP - 2002643 AU - Gary S. Collins AU - Maarten van Smeden AU - Richard D. Riley Y1 - 2020/09/01 UR - http://erj.ersjournals.com/content/56/3/2002643.abstract N2 - 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 Wu et 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.COVID-19 prediction models should adhere to methodological and reporting standards https://bit.ly/3ebnook ER -