Systematic and Statistical Review of Coronavirus Disease 19 Treatment Trials
Abstract The following systematic review and meta-analysis compile the current data regarding human controlled COVID-19 treatment trials. An electronic search of the literature compiled studies pertaining to human controlled treatment trials with COVID-19. Medications assessed included lopinavir/ritonavir, arbidol, hydroxychloroquine, tocilizumab, favipiravir, heparin, and dexamethasone. Statistical analyses were performed for common viral clearance endpoints whenever possible. Lopinavir/ritonavir showed no significant effect on viral clearance for COVID-19 cases (OR 0.95 [95% CI 0.50–1.83]). Hydroxychloroquine also showed no significant effect on COVID-19 viral clearance rates (OR 2.16 [95% CI 0.80–5.84]). Arbidol showed no 7-day (OR 1.63 [95% CI 0.76–3.50]) or 14-day viral (OR 5.37 [95% CI 0.35–83.30]) clearance difference compared to lopinavir/ritonavir. Review of literature showed no significant clinical improvement with lopinavir/ritonavir, arbidol, hydroxychloroquine, or remdesivir. Tocilizumab showed mixed results regarding survival. Favipiravir showed quicker symptom improvement compared to lopinavir/ritonavir and arbidol. Heparin and dexamethasone showed improvement with severe COVID-19 cases requiring supplemental oxygenation. Current medications do not show significant effect on COVID-19 viral clearance rates. Tocilizumab showed mixed results regarding survival. Favipiravir shows favorable results compared to other tested medications. Heparin and dexamethasone show benefit especially for severe COVID-19 cases..
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:2 |
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Enthalten in: |
SN comprehensive clinical medicine - 2(2020), 8 vom: 15. Juli, Seite 1120-1131 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Siordia, Juan A. [VerfasserIn] |
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Links: |
Volltext [lizenzpflichtig] |
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Themen: |
Arbidol |
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Anmerkungen: |
© Springer Nature Switzerland AG 2020 |
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doi: |
10.1007/s42399-020-00399-6 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
OLC211879794X |
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520 | |a Abstract The following systematic review and meta-analysis compile the current data regarding human controlled COVID-19 treatment trials. An electronic search of the literature compiled studies pertaining to human controlled treatment trials with COVID-19. Medications assessed included lopinavir/ritonavir, arbidol, hydroxychloroquine, tocilizumab, favipiravir, heparin, and dexamethasone. Statistical analyses were performed for common viral clearance endpoints whenever possible. Lopinavir/ritonavir showed no significant effect on viral clearance for COVID-19 cases (OR 0.95 [95% CI 0.50–1.83]). Hydroxychloroquine also showed no significant effect on COVID-19 viral clearance rates (OR 2.16 [95% CI 0.80–5.84]). Arbidol showed no 7-day (OR 1.63 [95% CI 0.76–3.50]) or 14-day viral (OR 5.37 [95% CI 0.35–83.30]) clearance difference compared to lopinavir/ritonavir. Review of literature showed no significant clinical improvement with lopinavir/ritonavir, arbidol, hydroxychloroquine, or remdesivir. Tocilizumab showed mixed results regarding survival. Favipiravir showed quicker symptom improvement compared to lopinavir/ritonavir and arbidol. Heparin and dexamethasone showed improvement with severe COVID-19 cases requiring supplemental oxygenation. Current medications do not show significant effect on COVID-19 viral clearance rates. Tocilizumab showed mixed results regarding survival. Favipiravir shows favorable results compared to other tested medications. Heparin and dexamethasone show benefit especially for severe COVID-19 cases. | ||
650 | 4 | |a COVID-19 | |
650 | 4 | |a SARS-CoV2 | |
650 | 4 | |a Coronavirus | |
650 | 4 | |a Treatment | |
650 | 4 | |a Trials | |
650 | 4 | |a Lopinavir/ritonavir | |
650 | 4 | |a Arbidol | |
650 | 4 | |a Hydroxychloroquine | |
650 | 4 | |a Remdesivir | |
650 | 4 | |a Tocilizumab | |
650 | 4 | |a Favipiravir | |
650 | 4 | |a Heparin | |
650 | 4 | |a Dexamethasone | |
700 | 1 | |a Bernaba, Michael |4 aut | |
700 | 1 | |a Yoshino, Kenji |4 aut | |
700 | 1 | |a Ulhaque, Abid |4 aut | |
700 | 1 | |a Kumar, Sooraj |4 aut | |
700 | 1 | |a Bernaba, Mario |4 aut | |
700 | 1 | |a Bergin, Edward |4 aut | |
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