Comparing the Efficacy and Adverse Events of Available COVID-19 Vaccines Through Randomized Controlled Trials : Updated Systematic Review and Network Meta-analysis
© 2023 The Author(s); Published by Hamadan University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited..
BACKGROUND: Different vaccines have so far been developed and approved to cope with COVID-19 in the world. The aim of this updated network meta-analysis (NMA) was to compare and rank all available vaccines in terms of efficacy and complications simultaneously. Study Design: A systematic review.
METHODS: Three major international databases, including Web of Science, Medline via PubMed, and Scopus, were searched through September 2023. The transitivity assumption was evaluated qualitatively in terms of epidemiologic effect modifiers. The exposure of interest in this study was receiving any available COVID-19 vaccine, and the primary outcome of interest was the incidence of symptomatic COVID-19. In this NMA, the relative risk of symptomatic COVID-19 was used to summarize the efficacy of vaccines in preventing COVID-19. The data were analyzed using the frequentist-based approach, and the results were reported using a random-effects model. Finally, the vaccines were ranked using a P-score.
RESULTS: In total, 34 randomized controlled trials (RCTs) met the eligibility criteria for this systematic review and NMA out of 3682 retrieved references. Based on the results of the NMA, mRNA-1273 was the most effective vaccine in preventing COVID-19 and demonstrated the highest P-score (0.93). The relative risk (RR) for mRNA-1273 versus placebo was 0.07 (95% confidence interval [CI]: 0.03, 0.17). The second and third-ranked vaccines were BNT-162b2 (RR=0.08; 95% CI: 0.04, 0.15; P-score=0.93) and Gam-COVID-Vac (0.09; 95% CI: 0.03, 0.25; 0.88).
CONCLUSION: Based on the results of this NMA, it seems that all available vaccines were effective in COVID-19 prevention. However, the top three ranked vaccines were mRNA-1273, BNT-162b2, and Gam-COVID-Vac, respectively.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2023 |
---|---|
Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
---|---|
Enthalten in: |
Journal of research in health sciences - 23(2023), 4 vom: 29. Dez., Seite e00593 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Hossaini, Shima [VerfasserIn] |
---|
Links: |
---|
Themen: |
2019-nCoV Vaccine mRNA-1273 |
---|
Anmerkungen: |
Date Completed 07.02.2024 Date Revised 07.02.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.34172/jrhs.2023.128 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM368051730 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM368051730 | ||
003 | DE-627 | ||
005 | 20240207232325.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240206s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.34172/jrhs.2023.128 |2 doi | |
028 | 5 | 2 | |a pubmed24n1283.xml |
035 | |a (DE-627)NLM368051730 | ||
035 | |a (NLM)38315908 | ||
035 | |a (PII)e00593 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Hossaini, Shima |e verfasserin |4 aut | |
245 | 1 | 0 | |a Comparing the Efficacy and Adverse Events of Available COVID-19 Vaccines Through Randomized Controlled Trials |b Updated Systematic Review and Network Meta-analysis |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 07.02.2024 | ||
500 | |a Date Revised 07.02.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © 2023 The Author(s); Published by Hamadan University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | ||
520 | |a BACKGROUND: Different vaccines have so far been developed and approved to cope with COVID-19 in the world. The aim of this updated network meta-analysis (NMA) was to compare and rank all available vaccines in terms of efficacy and complications simultaneously. Study Design: A systematic review | ||
520 | |a METHODS: Three major international databases, including Web of Science, Medline via PubMed, and Scopus, were searched through September 2023. The transitivity assumption was evaluated qualitatively in terms of epidemiologic effect modifiers. The exposure of interest in this study was receiving any available COVID-19 vaccine, and the primary outcome of interest was the incidence of symptomatic COVID-19. In this NMA, the relative risk of symptomatic COVID-19 was used to summarize the efficacy of vaccines in preventing COVID-19. The data were analyzed using the frequentist-based approach, and the results were reported using a random-effects model. Finally, the vaccines were ranked using a P-score | ||
520 | |a RESULTS: In total, 34 randomized controlled trials (RCTs) met the eligibility criteria for this systematic review and NMA out of 3682 retrieved references. Based on the results of the NMA, mRNA-1273 was the most effective vaccine in preventing COVID-19 and demonstrated the highest P-score (0.93). The relative risk (RR) for mRNA-1273 versus placebo was 0.07 (95% confidence interval [CI]: 0.03, 0.17). The second and third-ranked vaccines were BNT-162b2 (RR=0.08; 95% CI: 0.04, 0.15; P-score=0.93) and Gam-COVID-Vac (0.09; 95% CI: 0.03, 0.25; 0.88) | ||
520 | |a CONCLUSION: Based on the results of this NMA, it seems that all available vaccines were effective in COVID-19 prevention. However, the top three ranked vaccines were mRNA-1273, BNT-162b2, and Gam-COVID-Vac, respectively | ||
650 | 4 | |a Meta-Analysis | |
650 | 4 | |a Systematic Review | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Review | |
650 | 4 | |a COVID-19 Vaccines | |
650 | 4 | |a Network meta-analysis | |
650 | 4 | |a Vaccine efficacy | |
650 | 7 | |a COVID-19 Vaccines |2 NLM | |
650 | 7 | |a 2019-nCoV Vaccine mRNA-1273 |2 NLM | |
650 | 7 | |a EPK39PL4R4 |2 NLM | |
650 | 7 | |a BNT162 Vaccine |2 NLM | |
700 | 1 | |a Keramat, Fariba |e verfasserin |4 aut | |
700 | 1 | |a Cheraghi, Zahra |e verfasserin |4 aut | |
700 | 1 | |a Zareie, Bushra |e verfasserin |4 aut | |
700 | 1 | |a Doosti-Irani, Amin |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of research in health sciences |d 2007 |g 23(2023), 4 vom: 29. Dez., Seite e00593 |w (DE-627)NLM220188211 |x 2228-7809 |7 nnns |
773 | 1 | 8 | |g volume:23 |g year:2023 |g number:4 |g day:29 |g month:12 |g pages:e00593 |
856 | 4 | 0 | |u http://dx.doi.org/10.34172/jrhs.2023.128 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 23 |j 2023 |e 4 |b 29 |c 12 |h e00593 |