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COVID-19 in Individuals Treated With Long-Term Hydroxychloroquine: A Propensity Score-Matched Analysis of Cicatricial Alopecia Patients

Shaw et al., Journal of Drugs in Dermatology, doi:10.36849/JDD.5843
Jul 2021  
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Case 6% Improvement Relative Risk Antiandrogens for COVID-19  Shaw et al.  Prophylaxis Do antiandrogens reduce COVID-19 infections? PSM retrospective 144 patients in the USA (March - May 2020) Fewer cases with antiandrogens (p=0.006) c19early.org Shaw et al., J. Drugs in Dermatology, Jul 2021 Favorsantiandrogen Favorscontrol 0 0.5 1 1.5 2+
7th treatment shown to reduce risk in September 2020, now with p = 0.000000056 from 49 studies.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 109 treatments. c19early.org
PSM retrospective 144 alopecia patients in the USA, showing no significant difference in COVID-19 cases with anti-androgen use. The supplemental appendix is not available.
risk of case, 6.0% lower, OR 0.94, p = 0.006, treatment 47, control 97, adjusted per study, propensity score matching, multivariable, RR approximated with OR.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Shaw et al., 1 Jul 2021, retrospective, USA, peer-reviewed, 10 authors, study period 1 March, 2020 - 15 May, 2020. Contact: Kristen.LoSicco@nyulangone.org.
This PaperAntiandrogensAll
Abstract: doi:10.36849/JDD.5843 To order reprints or e-prints of JDD articles please contact sales@jddonline.com August 2021 914 Volume 20 • Issue 8 Copyright © 2021 LETTERS TO THE EDITOR Journal of Drugs in Dermatology COVID-19 in Individuals Treated With Long-Term Hydroxychloroquine: A Propensity Score-Matched Analysis of Cicatricial Alopecia Patients Katharina S. Shaw,a Lu Yin,a Jinal K. Shah,b Rachel A. Sally,a Katerina S. Svigos,a Prince U. Adotama,a Hsiao Han Tuan,a Jerry Shapiro MD,a Rebecca A. Betensky,b* and Kristen I. Lo Sicco MDa* The Ronald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York, NY b Department of Biostatistics, New York University School of Global Public Health, New York, NY a Both authors contributed equally to this work as co-first authors *
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