Performance of prediction models for COVID-19: the Caudine Forks of the external validation
Glen Philip Martin, Matthew Sperrin, Giovanni Sotgiu · European Respiratory Journal · 2020
Healthcare systems worldwide have observed significant changes to meet demands due to the coronavirus disease 2019 (COVID-19) pandemic. The uncertainty surrounding optimal treatment, the rapid public health urgency and clinical emergencies have caused a chaotic disruption of the cases and their related contacts at inpatient and outpatient settings. Developing more tailored healthcare plans based on the currently available scientific evidence, could help improve clinical efficacy, treatment outcomes, prognosis, and health efficiency. Existing evidence suggests that none of the COVID -19 prediction models can be supported for clinical use. Here we discuss “what next” in COVID-19 prediction.