Extract
The 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 sixty-six covid-19 prediction models – concluding 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 and colleagues describing the development of a model to identify covid-19 patients with severe disease on admission to facilitate triage [2]. However, our enthusiasm was dampened by a number of concerns surrounding the design, analysis and reporting of the study which deserve highlighting to readers.
Abstract
COVID-19 prediction models should adhere to methodological and reporting standards
Footnotes
Funder: Cancer Research UK; DOI: http://dx.doi.org/10.13039/501100000289; Grant: C49297/A27294.
Conflict of interest: Dr. Collins has nothing to disclose.
Conflict of interest: Dr. van Smeden has nothing to disclose.
Conflict of interest: Prof. Riley has nothing to disclose.
- Received July 5, 2020.
- Copyright ©ERS 2020
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