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0 0.25 0.5 0.75 1 1.25 1.5 1.75 2+ Mortality -59% Improvement Relative Risk Mortality (b) 71% c19hcq.com/burdick.html Favors HCQ Favors control
26 November 2020 - Late treatment study
Is Machine Learning a Better Way to IdentifyCOVID-19 Patients Who Might Benefit fromHydroxychloroquineTreatment?—The IDENTIFY Trial
Burdick et al., Journal of Clinical Medicine, doi:10.3390/jcm9123834 (Peer Reviewed)
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290 patient observational trial in the USA, not showing a significant difference with HCQ treatment overall, but showing significantly lower mortality in a subgroup of patients where HCQ is expected to be beneficial based on a machine learning algorithm.
risk of death, 59.0% higher, RR 1.59, p = 0.12, treatment 142, control 148, adjusted per study, all patients.
risk of death, 71.0% lower, RR 0.29, p = 0.01, treatment 26, control 17, adjusted per study, subgroup of patients where treatment is predicted to be beneficial.
Effect extraction follows pre-specified rules prioritizing more serious outcomes.
Burdick et al., 11/26/2020, prospective, USA, North America, peer-reviewed, 14 authors.
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