Most COVID-19 modelling studies are underperforming, at high risk of bias, and poorly reported .
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Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
BMJ 2020;369:m1328The COVID-19 pandemic continues to affect nearly the entire world, and has been accompanied by an 'infodemic', whereby an overabundance of information of varying quality continues to be published at unprecedented rates. Thus, the authors of this study conducted a rapid systematic review and critical appraisal of all modelling studies in the literature on the topic of COVID-19. Most studies had poor performance in terms of discrimination, were not well-reported, did not have their calibration assessed, and were at high risk of bias. All modelling studies early in this pandemic should be interpreted with a high degree of caution.
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