Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a Novel Deep Neural Network

12/14 Late treatment study

Naseem et al., medRxiv, doi:10.1101/2020.12.13.20247254 (Preprint)
Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a Novel Deep Neural Network

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Retrospective 1,214 hospitalized patients in Pakistan, 77 HCQ patients, showing 33% lower mortality with HCQ, multivariate Cox HR 0.67, p = 0.34.

Naseem et al., 12/14/2020, retrospective, Pakistan, South Asia, preprint, 5 authors.

risk of death, 33.3% lower, RR 0.67, p = 0.34, treatment 77, control 1137, multivariate Cox.

Effect extraction follows pre-specified rules prioritizing more serious outcomes. For an individual study the most serious outcome may have a smaller number of events and lower statistical signficance, however this provides the strongest evidence for the most serious outcomes when combining the results of many trials.

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