Systematic and Statistical Review of COVID19 Treatment Trials
Objective: The following systematic review and meta-analysis compiles the current data regarding human controlled COVID-19 treatment trials. Methods: An electronic search of the literature compiled studies pertaining to human controlled treatment trials with COVID-19. Medications assessed included lopinavir/ritonavir, arbidol, hydroxychloroquine, favipiravir, and heparin. Statistical analyzes were performed for common viral clearance endpoints whenever possible. Results: 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 seven-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. Favipiravir showed quicker symptom improvement compared to lopinavir/ritonavir and arbidol. Heparin showed improvement with severe COVID-19 cases. Conclusion: Current medications do not show significant effect on COVID-19 viral clearance rates. Favipiravir shows favorable results compared to other tested medications. Heparin shows benefit for severe cases of COVID-19..
Medienart: |
Preprint |
---|
Erscheinungsjahr: |
2020 |
---|---|
Erschienen: |
2020 |
Enthalten in: |
bioRxiv.org - (2020) vom: 07. Dez. Zur Gesamtaufnahme - year:2020 |
---|
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Siordia, Juan Arturo [VerfasserIn] |
---|
Links: |
---|
doi: |
10.1101/2020.05.16.20102095 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
XBI017921996 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | XBI017921996 | ||
003 | DE-627 | ||
005 | 20230429080730.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200525s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1101/2020.05.16.20102095 |2 doi | |
035 | |a (DE-627)XBI017921996 | ||
035 | |a (DE-599)biorXiv10.1101/2020.05.16.20102095 | ||
035 | |a (biorXiv)10.1101/2020.05.16.20102095 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 570 |q DE-84 | |
100 | 1 | |a Siordia, Juan Arturo |e verfasserin |4 aut | |
245 | 1 | 0 | |a Systematic and Statistical Review of COVID19 Treatment Trials |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Objective: The following systematic review and meta-analysis compiles the current data regarding human controlled COVID-19 treatment trials. Methods: An electronic search of the literature compiled studies pertaining to human controlled treatment trials with COVID-19. Medications assessed included lopinavir/ritonavir, arbidol, hydroxychloroquine, favipiravir, and heparin. Statistical analyzes were performed for common viral clearance endpoints whenever possible. Results: 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 seven-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. Favipiravir showed quicker symptom improvement compared to lopinavir/ritonavir and arbidol. Heparin showed improvement with severe COVID-19 cases. Conclusion: Current medications do not show significant effect on COVID-19 viral clearance rates. Favipiravir shows favorable results compared to other tested medications. Heparin shows benefit for severe cases of COVID-19. | ||
700 | 1 | |a Bernaba, Michael |e verfasserin |4 aut | |
700 | 1 | |a Yoshino, Kenji |e verfasserin |4 aut | |
700 | 1 | |a Ulhaque, Abid |e verfasserin |4 aut | |
700 | 1 | |a Kumar, Sooraj |e verfasserin |4 aut | |
700 | 1 | |a Bernaba, Mario |e verfasserin |4 aut | |
700 | 1 | |a Bergin, Edward |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t bioRxiv.org |g (2020) vom: 07. Dez. |
773 | 1 | 8 | |g year:2020 |g day:07 |g month:12 |
856 | 4 | 0 | |u https://doi.org/10.1007/s42399-020-00399-6 |z lizenzpflichtig |3 Volltext |
856 | 4 | 0 | |u http://dx.doi.org/10.1101/2020.05.16.20102095 |z kostenfrei |3 Volltext |
912 | |a GBV_XBI | ||
912 | |a SSG-OLC-PHA | ||
951 | |a AR | ||
952 | |j 2020 |b 07 |c 12 | ||
953 | |2 045F |a 570 |