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Editorial
. 2020 Oct 20:371:m3777.
doi: 10.1136/bmj.m3777.

Prediction models for covid-19 outcomes

Matthew Sperrin  1 , Brian McMillan  2
Affiliations
Editorial

Prediction models for covid-19 outcomes

Matthew Sperrin et al. BMJ. .

Abstract

Reasons to be cautious

PubMed Disclaimer

Conflict of interest statement

Competing interests: The BMJ has judged that there are no disqualifying financial ties to commercial companies. The authors declare no other interests."

References

    1. Clift AK, Coupland CAC, Keogh RH, et al. . Living risk prediction algorithm (QCOVID) for risk of hospit admission and mortality from coronavirus-19 in adults: national derivation and validation cohort study. BMJ 2020;371:m3731. - PMC - PubMed
    1. Knight SR, Ho A, Pius R, et al. ISARIC4C investigators . Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ 2020;370:m3339. 10.1136/bmj.m3339 - DOI - PMC - PubMed
    1. Wynants L, Van Calster B, Bonten MM, et al. . Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ 2020;369:m1328. 10.1136/bmj.m1328 - DOI - PMC - PubMed
    1. Riley RD, Ensor J, Snell KIE, et al. . Calculating the sample size required for developing a clinical prediction model. BMJ 2020;368:m441. 10.1136/bmj.m441 - DOI - PubMed
    1. Steyerberg EW, Vickers AJ, Cook NR, et al. . Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010;21:128-38. 10.1097/EDE.0b013e3181c30fb2 - DOI - PMC - PubMed

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