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All Studies   Meta Analysis    Recent:   
0 0.5 1 1.5 2+ Mortality 59% Improvement Relative Risk HCQ for COVID-19  Rodriguez et al.  LATE TREATMENT Is late treatment with HCQ beneficial for COVID-19? Prospective study of 43 patients in Spain Lower mortality with HCQ (not stat. sig., p=0.23) c19hcq.org Rodriguez et al., Medicina Intensiva, Nov 2020 Favors HCQ Favors control

Severe infection due to the SARS-CoV-2 coronavirus: Experience of a tertiary hospital with COVID-19 patients during the 2020 pandemic

Rodriguez et al., Medicina Intensiva, doi:10.1016/j.medine.2020.05.005
Nov 2020  
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HCQ for COVID-19
1st treatment shown to reduce risk in March 2020
 
*, now known with p < 0.00000000001 from 422 studies, recognized in 42 countries.
No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,000+ studies for 60+ treatments. c19hcq.org
Small prospective study of 43 hospitalized patients with 39 taking HCQ, showing unadjusted mortality relative risk RR 0.41, p=0.23.
This study is excluded in the after exclusion results of meta analysis: unadjusted results with no group details.
risk of death, 59.0% lower, RR 0.41, p = 0.23, treatment 8 of 39 (20.5%), control 2 of 4 (50.0%), NNT 3.4.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Rodriguez et al., 9 Nov 2020, prospective, Spain, peer-reviewed, 13 authors, average treatment delay 8.0 days.
This PaperHCQAll
Severe infection due to the SARS-CoV-2 coronavirus: Experience of a tertiary hospital with COVID-19 patients during the 2020 pandemic ଝ
A Rodríguez, G Moreno, J Gómez, R Carbonell, E Picó-Plana, C Benavent Bofill, R Sánchez Parrilla, S Trefler, E Esteve Pitarch, L Canadell, X Teixido, L Claverias, M Bodí
Objective: To describe the clinical and respiratory characteristics of a cohort of 43 patients with COVID-19 after an evolutive period of 28 days. Design: A prospective, single-center observational study was carried out. Setting: Intensive care. Patients: Patients admitted due to COVID-19 and respiratory failure. Interventions: None. Variables: Automatic recording was made of demographic variables, severity parameters, laboratory data, assisted ventilation (HFO: high-flow oxygen therapy and IMV: invasive mechanical ventilation), oxygenation (PaO2, PaO2/FiO2) and complications. The patients were divided into three groups: survivors (G1), deceased (G2) and patients remaining under admission (G3). The chi-squared test or Fisher exact test (categorical variables) was used, along with the Mann-Whitney U-test or Wilcoxon test for analyzing the differences between medians. Statistical significance was considered for p < 0.05.
Authorship Study conception and design: AR, MB, LC, GM, RC, and ST. Data acquisition and analysis: AR, MB, JG, GM, RC, EPP, ST, CBB, RSP, LC and XT. Data interpretation: AR, MB, LC, GM, RC, ESP, LC, ESP and EPP. Important intellectual contribution to the contents of the study: AR, MB, GM, RC, ESP, LC, and LC. Drafting of the manuscript: AR, MB, GM, and RC. Critical review of the contents of the article: JG, EPP, CBB, RSP, ST and XT. All the authors approved the final manuscript submitted for evaluation and possible publication. Conflicts of interest The authors declare that they have no conflicts of interest in relation to the present article. AR has received a research grant from Gilead Science for the study of nebulized antibiotics, and has received fees for teaching conferences from Biomerieux, Astellas, Pfizer, Thermo Fisher, MSD, Gilead, Shionogi and BRHAMS. There are no conflicts of interest in relation to the present study, however. The rest of the authors have no conflicts of interest. Appendix A. List of research members of the HJ23-COVID-19 Working Group Clinical laboratory Natalia Bastón-Paz, Carolina Sarvisé-Buil, Frederic Gómez-Bertomeu, Gemma Recio-Comi, Carla Martin-Grau, Silvia Montolio-Breva, Victoria Rivera-Moreno, Modest Sabaté-Piñol, Carmen Molina-Clavero, Nuria Serrat-Orús, Maria Teresa Sans-Mateu and Cristina Gutiérrez-Fornes. Epidemiology and prevention of nosocomial infections M. Montserrat Olona-Cabases. ICU Nursing Department Xavier Teixidó,..
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Late treatment
is less effective
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