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J Res Health Sci. 23(4):e00593. doi: 10.34172/jrhs.2023.128

Review Article

Comparing the Efficacy and Adverse Events of Available COVID-19 Vaccines Through Randomized Controlled Trials: Updated Systematic Review and Network Meta-analysis

Shima Hossaini 1 ORCID logo, Fariba Keramat 2, Zahra Cheraghi 1, 3, Bushra Zareie 1, Amin Doosti-Irani 1, 4, * ORCID logo

Author information:
1Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2Department of Infectious Disease, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
3Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamedan, Iran
4Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran

*Corresponding author: Amin Doosti-Irani, Email: a.doosti@umsha.ac.ir

Abstract

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.

Keywords: COVID-19 Vaccines, Vaccine efficacy, Network meta-analysis

Copyright and License Information

© 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.

Please cite this article as follows: Hossaini S, Keramat F, Cheraghi Z, Zareie B, Doosti Irani A. Comparing the efficacy and adverse events of available COVID-19 vaccines through randomized controlled trials: updated systematic review and network meta-analysis. J Res Health Sci. 2023; 23(4):e00593. doi:10.34172/jrhs.2023.128


Background

In the COVID-19 pandemic, providing an effective vaccine was one of the main concerns of health policymakers and scientists. Consequently, different vaccines have been developed and approved to cope with this disease around the world. As of July 10, 2023, a total of almost 13.500 billion vaccine doses had been administered worldwide. As of July 19, 2023, the reported confirmed cases of COVID-19 and the deaths due to this disease were over nearly 750 million and nearly seven million, respectively.1 Although the COVID-19 pandemic has subsided, this disease still exists in the world, and there is a risk of future epidemics; thus, countries should be ready to combat it. Vaccination is one of the most effective strategies for preventing infectious diseases.

The available vaccines include DNA, mRNA, vector, protein subunit, inactivated virus, live attenuated, and non-replicating viral vector vaccines.2 Although all available vaccines are effective in preventing COVID-193 selecting the best vaccine among the available vaccines is a main challenge for health policymakers. The first approved vaccine against the COVID-19 virus was Pfizer. The efficacy of this vaccine in phase 3 randomized controlled trials (RCTs) with over 40,000 participants was 91.3%.4 After Pfizer, other countries and companies developed other vaccines. The Sinovac, AstraZeneca, Russian Sputnik, Johnson & Johnson, and Moderna vaccines have an efficacy of 51%,5 63%,6 97.6%,7 66.9%,8 and 93.2%,9 respectively. In addition, the efficacy of Soberana 02 and Soberana Plus vaccines is 49.7 and 64.9%,10 respectively.

In most phase 3 RCTs, all the vaccines have been compared with a placebo, so the safety, efficacy, and complications of the vaccines have been compared directly with a placebo, but a major question is regarding the simultaneous comparisons of all the available vaccines in terms of safety, efficacy, and complications two by two. It would be ideal if we had access to an RCT comparing all vaccines simultaneously, but there are no such RCTs. In the absence of such trials, indirect comparison via network meta-analysis (NMA) may be useful for simultaneous comparison.

To date, there have been a few NMAs that have compared vaccines simultaneously. In an NMA that compared nine vaccines, BNT162b2, mRNA-1273, and Gam-COVID-Vac were the top three vaccines in terms of efficacy.11 Based on the results of a systematic review and NMA of 35 trials, the mRNA vaccines were most effective in preventing COVID-19.3 In an NMA comparing 16 vaccines for efficacy based on the results of this study, BNT126b2, mRNA-1273, and rAd26 & rAd5 vaccines were the top three vaccines.12 Based on the results of another NMA comparing 28 vaccines, the Pfizer vaccine was the most effective in preventing severe COVID-19 infection.13 Although there are some published NMAs,12-14 the vaccines included in these NMAs are not all ones that are available now because the results of some of the phase 3 trials have not been published. Accordingly, the aim of this updated NMA was to compare and rank all available vaccines with published results of phase 3 trials in terms of efficacy and complications simultaneously.


Methods

This NMA is part of a comprehensive systematic review that has simultaneously compared all available vaccines for safety, immunogenicity, efficacy, and related complications in phase 1, 2, and 3 RCTs. In this NMA, we analyzed only the results of phase 3 RCTs. In this systematic review and NMA, we followed the PRISMA guidelines for NMA.15 The efficacy of the vaccine is the performance of a vaccine under idealized conditions of an RCT.16

Search Strategy

A search strategy was developed to identify all pertinent RCTs. Our search strategy is presented in Table S1 (see Supplementary file 1). Three major international databases, including Web of Science, Scopus, and Medline via PubMed, were searched through September 2023. We set up alerts in these databases and continued updating our search until the time of analysis.

Eligibility Criteria and Study Selection

All phase 3 RCTs comparing COVID-19 vaccines with either a placebo or another vaccine were included regardless of study location, population, or language. The phase 1, 2, and 4 studies and non-randomized trials were excluded from this NMA.

Two authors (Sh. H.) and (B. Z.) were responsible for screening the results of our search. All retrieved studies were imported into EndNote software (version X7), and duplicate studies were identified by software and manual review and finally excluded from the pool of studies. Next, the two authors mentioned above independently screened the studies based on their titles and abstracts. Any disagreement between the two authors was resolved by discussion and the judgment of the third reviewer (A. D. I.). Finally, the full texts of selected RCTs were screened according to the mentioned inclusion criteria, and eligible RCTs were identified for data extraction.

The study’s primary and secondary outcomes included the frequency of symptomatic COVID-19 infection and vaccine complications such as localized reactions, fatigue, chills, fever, pain, and headache.

Data Extraction

The eligible RCTs were analyzed, with data extracted on the characteristics of the RCTs, such as the first author’s name, publication year, country, study population, duration of follow-up, data-analysis approach (intention to treat or per protocol), and sample size; the other obtained data were vaccine data (i.e., the exact type of vaccine used in each RCT), potential effect modifiers (e.g., gender and age of participants), and outcomes (i.e., the number of confirmed COVID-19 cases in the vaccine and placebo groups, and efficacy with a 95% confidence interval [CI]), and any reported adverse events in the vaccine and placebo groups.

Risk of Bias Assessment

The Cochrane tool was used to assess the risk of bias.17 Two authors (Sh. H. and A. D. I.) were responsible for the risk of bias assessment. Several items from this tool were used, including random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, and selective reporting. The included RCTs were classified as low, high, moderate, and risk of bias if all items were met, if one item was not met, and if more than one item was not met, respectively.17 Review Manager 5.4 was utilized to assess the risk of bias.18

Data Analysis

The transitivity assumption was evaluated qualitatively in terms of epidemiologic effect modifiers. In this NMA, age and the study population were considered the main effect modifiers. The heterogeneity of pairwise comparisons and the network was assessed using the χ2 test and the I2 statistic. The restricted maximum likelihood estimator was used to calculate the between-study variance.19 The consistency assumption was not assessed in this NMA because there was no closed loop in our networks.20 The available vaccines were presented through a network diagram. The study employed relative risk (RR) to summarize their efficacy in preventing COVID-19 in the NMA. The obtained data were analyzed using the frequentist-based approach, and the results were reported by a random-effects model.

Eventually, the vaccines were ranked using a P-score. The value of the P-score is between zero and one, and a higher value of the P-score indicates a better rank for a vaccine. The P-score for each vaccine is calculated using the one-sided P-value of rejecting the null hypothesis (Pj). In a network, the P-score for each treatment is the mean of all 1-P[j].21 Publication bias was evaluated visually using an adjusted network funnel plot and Egger test.22 The results were reported with a 95% CI. Statistical analysis was conducted using R version 4.0.0 (2020-04-24), and the “netmeta” package was used for NMA.


Results

Overall, 34 RCTs4-7,9,10,23-50 met the eligibility criteria for this systematic review and NMA out of 3682 retrieved references (Figure 1). Of these studies, 26, 5, and 2 RCTs were conducted only on adults of both genders, only on children, on people aged 50 years and older, respectively, and one study was performed on both adults and children. Based on our assessment of the transitivity assumption, the included RCTs were divided into those conducted on adults, children, and the elderly. The results of the risk of bias assessment are shown in Figure 2. The characteristics of the included RCTs are provided in Table 1.

jrhs-23-e00593-g001
Figure 1.

The flow diagram for the process of study identification for network meta-analysis


jrhs-23-e00593-g002
Figure 2.

Risk of bias graph: review authors’ judgements about each risk of bias item presented as percentages across all included studies



Table 1. Characteristics of the included randomized controlled trials in the study
Author (y) Country Study population Sample size Mean age (y) Male proportion (%) Median duration of follow-up (days) Analysis Loss to Follow-up (%) Vaccines/Placebo Confirmed Cases of COVID-19 Efficacy (95% CI)
Polack (2020) 4 International Healthy adults total: 43548
n1: 18860
n2: 18846
Arm1: 52
Arm2: 52
Arm1:51.1
Arm2: 50.1
60 ITT Arm1: 1.6
Arm2: 1.7
Arm1: BNT162b2(30µg)
Arm2: Placebo
Arm1: 9
Arm2: 169
94.6 (89.9, 97.3)
Tanriover (2021) 5 Turkey Healthy adults total: 10218
n1: 6650
n2: 3568
Arm1: 45
Arm2: 45
Arm1:57.4
Arm2:
43 ITT Arm1: 1.4
Arm2: 2.7
Arm1: CoronaVac
Arm2: Placebo
Arm1:9
Arm2: 32
83.5 (65.4, 92.1)
Emary (2021) 6 UK Healthy adults total: 8534
n1: 4244
n2: 4290
Arm1: 45
Arm2: 45
Arm1:41.4
Arm2: 39.9
48 Interim analysis Arm1: 32.0
Arm2: 21.5
Arm1: ChAdOx1 nCoV-19
Arm2: MenACWY
Arm1:59
Arm2: 210
72.3 (63.1, 79.3)
Logunov (2021) 7 Russia Healthy adults total: 21977
n1: 16501
n2: 5476
Arm1: 45.3
Arm2: 45.3
Arm1:55.4
Arm2: 55.1
48 PP Arm1: 0.4
Arm2: 0.7
Arm1: Gam-COVID-Vac
Arm2: Placebo
Arm1:13
Arm2: 47
91.1 (83.8, 95.1)
Baden (2021) 9 USA Healthy adults total: 30415
n1: 15209
n2: 15206
Arm1: 51.4
Arm2: 51.3
Arm1:52.1
Arm2: 53.0
60 ITT* Arm1: 3.0
Arm2: 3.0
Arm1: mRNA-1273(100µg)
Arm2: Placebo
Arm1:55
Arm2: 751
93.2 (91.1, 94.9)
Mostafavi (2023) 10 Iran Healthy adults total: 18000
n1: 14375
n2: 3597
Arm1: 39.4
Arm2: 39.1
Arm1:60.1
Arm2: 59.1
100 ITT Arm1: 3.7
Arm2: 4.0
Arm1: FINLAY-FR-2 (25 μg)
Arm2: Placebo
Arm1:461
Arm2: 221
49.7 (40.8, 57.3)
Mostafavi (2023) 10 Iran Healthy adults total: 6000
n1: 4790
n2: 1197
Arm1: 39.6
Arm2: 39.9
Arm1:59.8
Arm2: 59.9
142 ITT Arm1: 12.8
Arm2: 13.2
Arm1: FINLAY-FR-2(25 μg) + FINLAY-FR-1A (50 μg)
Arm2: Placebo
Arm1:75
Arm2: 51
64.9 (49.7, 59.5)
Kaabi (2021)23 UAE Healthy adults total: 40411
n1: 13066
n2: 13068
n3: 13071
Arm1: 36.2
Arm2: 36.1
Arm3: 36.1
Arm1: 81.9
Arm2: 82.3
Arm3: 82.7
77 PP* Arm1: 3.0
Arm2: 2.9
Arm2: 3.0
Arm1: SARS-CoV-2 WIV04 (0.5 µg)
Arm2: HB02 (4 µg)
Arm3: Alum
Arm1: 26
Arm2: 21
Arm3: 95
72.8 (58.1, 82.4)
78.1 (64.8, 86.3)
Ali (2021) 24 USA Young adults total: 3732
n1: 2489
n2: 1243
Arm1: 14.3
Arm2: 14.2
Arm1:51.5
Arm2: 50.8
83 PP Arm1: 2.5
Arm2: 16.6
Arm1: mRNA-1273 (100 µg)
Arm2: Placebo
Arm1:1
Arm2: 7
93.3 (47.9, 99.9)
Bravo (2022) 25 Belgium & … Healthy adults total: 30174
n1: 15092
n2: 15082
Arm1: 31.2
Arm2: 31
Arm1:22.5
Arm2: 22.5
60 PP Arm1: 58.4
Arm2: 59.4
Arm1: SCB-2019 (30 µg)
Arm2: Placebo
Arm1:63
Arm2: 185
67.2 (54.3, 76.8)
C.B. Creech (2022) 26 USA Children total: 4016
n1: 3012
n2: 1004
Arm1: 8.5
Arm2: 8.5
Arm1:51.6
Arm2: 47.9
82 PP Arm1: 1.6
Arm2: 14.6
Arm1: mRNA-1273 (50 µg)
Arm2: Placebo
Arm1:3
Arm2: 4
88.0 (70.0, 95.8)
Dai (2020) 27 Asia Healthy adults total: 28904
n1: 14453
n2: 14451
Arm1: 52
Arm2: 52
Arm1:51.1
Arm2: 50.1
50.4 ITT Arm1: 1.6
Arm2: 1.7
Arm1: ZF2001
Arm2: Placebo
Arm1: 36
Arm2: 188
81.4 (73.3, 87.3)
L.M. Dunkle (2022) 28 USA Healthy adults total: 29949
n1: 19965
n2: 9984
Arm1: 47
Arm2: 47
Arm1:45.3
Arm2: 41.4
60 PP Arm1: 13.3
Arm2: 18.5
Arm1: NVX-CoV2373
Arm2: Placebo
Arm1:14
Arm2: 63
90.4 (82.9, 94.6)
Ella (2021) 29 India Healthy adults total: 25798
n1: 12899
n2: 12899
Arm1: 40.1
Arm2: 40.1
Arm1:67.2
Arm2: 66.8
146 PP Arm1: 6.9
Arm2: 6.9
Arm1: BBV152
Arm2: Placebo
Arm1: 24
Arm2: 106
77.8 (65.2, 86.4)
Fadlyana (2021) 30 Indonesia Healthy adults total: 1819
n1: 811
n2: 809
Arm1: 35.6
Arm2: 35.4
Arm1:62.3
Arm2: 66.9
90 ITT Arm1: 1.5
Arm2: 0.7
Arm1: Sinovac
Arm2: Placebo
Arm1:7
Arm2: 18
65.3
Falsey (2021) 31 USA Healthy adults total: 63171
n1: 42352
n2: 20747
Arm1: 50.2
Arm2: 50.2
Arm1:28.4
Arm2: 28.9
61 ITT Arm1: 1.5
Arm2: 2.4
Arm1: ChAdOx1 nCoV-19
Arm2: Placebo
Arm1:168
Arm2: 214
74.0 (65.5, 80.5)
Frenck Jr. (2021) 32 USA Healthy adults total: 2264
n1: 1134
n2: 1130
Arm1: 13.6
Arm2: 13.6
Arm1:50.0
Arm2: 51.8
60 ITT Arm1: 1.4
Arm2: 2.5
Arm1: BNT162b2
Arm2: Placebo
Arm1:0
Arm2: 16
100 (75.3, 100.0)
Frenck Jr. (2021) 32 USA Children total: 3788
n1: 1875
n2: 1913
Arm1: 19.4
Arm2: 19.6
Arm1:13.6
Arm2: 14.1
60 ITT Arm1: 3.8
Arm2: 5.5
Arm1: BNT162b2
Arm2: Placebo
Arm1: NR
Arm2: NR
100.0
B. Gilbert (2022) 33 USA Healthy adults total: 1147
n1: 1010
n2: 137
Arm1: NR
Arm2: NR
Arm1:NR
Arm2: NR
116 PP Arm1: NR
Arm2: NR
Arm1: mRNA-1273
Arm2: Placebo
Arm1:NR
Arm2: NR
78.0 (54.0, 89.0)
Halperin (2022) 34 Chile & … Healthy adults total 36982
n1: 18493
n2: 18489
Arm1: 37.8
Arm2: 37.7
Arm1:40.3
Arm2: 41.0
45 ITT Arm1: 2.6
Arm2: 2.5
Arm1: Ad5-nCoV
Arm2: Placebo
Arm1:45
Arm2: 105
57.5 (39.7, 70.0)
Hardt (2022) 35 International Healthy adults total: 31300
n1: 15708
n2: 15592
Arm1: 53
Arm2: 53
Arm1:52.9
Arm2: 52.3
70 PP Arm1: 52.4
Arm2: 55.1
Arm1: Ad26.COV2.S
Arm2: Placebo
Arm1:14
Arm2: 53
75.6 (55.5, 87.5)
Heath (2023) 36 United Kingdom Healthy adults total: 15185
n1: 7569
n2: 7569
Arm1: 53.4
Arm2: 53.4
Arm1:47.5
Arm2: 47.8
135 ITT Arm1: 0.0
Arm2: 0.0
Arm1:NVX-CoV2373
Arm2: Placebo
Arm1:134
Arm2: 24
68.7 (58.1, 76.6)
Khairullin (2022) 37 Kazakhstan Healthy adults total: 3000
n1: 2400
n2: 600
Arm1: 35
Arm2: 34
Arm1:50.2
Arm2: 52.2
180 ITT Arm1: 3.0
Arm2: 2.7
Arm1:QazCovid-in(5µg)
Arm2: Placebo
Arm1:31
Arm2: 43
82 (71.1, 88.5)
Khobragade (2022) 38 India Healthy adults total: 27703
n1: 13851
n2: 13852
Arm1: 36.4
Arm2: 36.6
Arm1:67.5
Arm2:
350 PP Arm1: 1.5
Arm2: 1.6
Arm1:ZyCoV-D(2mg)
Arm2: Placebo
Arm1:20
Arm2: 61
66.6 (47.6, 80.7)
Kremsner (2022) 39 10 countries Healthy adults total: 39680
n1: 19846
n2: 19834
Arm1: 43
Arm2: 43
Arm1:54.7
Arm2: 54.5
48.2 ITT Arm1: 2.1
Arm2: 6.8
Arm1:CVnCoV
Arm2: Placebo
Arm1:83
Arm2: 145
70.7(42.5, 86.1)
Lioznov (2023) 40 Russia Healthy adults total: 783
n1: 374
n2: 126
Arm1: 41.2
Arm2: 41
Arm1:40.4
Arm2: 38.1
210 PP Arm1: 3.5
Arm2: 4.8
Arm1: Ad5-nCoV(0·5mL)
Arm2: Placebo
Arm1:18
Arm2: 13
NR
Moreira (2022) 41 USA Healthy adults total:10136
n1: 5088
n2: 5048
Arm1: 51.8
Arm2: 51.7
Arm1:48.3
Arm2: 49.9
75 interim analysis Arm1: 0.2
Arm2: 0.9
Arm1:BNT162b2(30µg)
Arm2: Placebo
Arm1:15
Arm2: 141
89.8 (82.6, 94.4)
F.M. Muñoz (2023) 42 Children 6 Months to < 2 Y total: 1776
n1: 1178
n2: 598
Arm1: 1.26
Arm2: 1.28
Arm1:50
Arm2:
40 ITT Arm1: 0.8
Arm2: 0.7
Arm1:BNT162b2(3µg)
Arm2: Placebo
Arm1:4
Arm2: 8
75.8 (9.7, 94.7)
F.M. Muñoz (2023) 42 Children 2 to 4 Yr total: 2750
n1: 1835
n2: 915
Arm1: 3
Arm2:
Arm1:49.1
Arm2: 51.5
42 ITT Arm1: 1.3
Arm2: 2.6
Arm1:BNT162b2(3µg)
Arm2: Placebo
Arm1:9
Arm2: 13
71.8 (28.6, 89.4)
Sadoff (2022) 43 USA Healthy adults total: 43788
n1: 21898
n2: 21890
Arm1: 52
Arm2: 52
Arm1:55.1
Arm2:
120 PP Arm1: 10.6
Arm2: 10.4
Arm1:Ad26.COV2.S
Arm2: Placebo
Arm1:433
Arm2: 883
52.9 (47.1, 58.1)
Sobieszczyk (2022) 44 USA Healthy adults total: 32450
n1: 21634
n2: 10816
Arm1: 51
Arm2: 51
Arm1:55.5
Arm2: 55.5
78 interim analysis Arm1: 9.5
Arm2: 18.0
Arm1:AZD1222
Arm2: Placebo
Arm1:335
Arm2: 224
67.0 (58.9, 73.4)
S. J. Thomas (2021) 45 USA Healthy adults total: 44165
n1: 22085
n2: 22080
Arm1: 51
Arm2: 51
Arm1:51.3
Arm2: 50.0
180 PP Arm1: 1.5
Arm2:
Arm1:BNT162b2(30µg)
Arm2: Placebo
Arm1:3
Arm2: 35
91.3 (89.0, 93.2)
Toback (2021) 46 UK Healthy adults total: 15187
n1: 217
n2: 214
n3:502
n4:497
Arm1: 42.3
Arm2: 41.9
Arm2: 51.6
Arm2: 51.4
Arm1:56.7
Arm2: 55.1
Arm2: 51.4
Arm2: 58.4
60 ITT Arm1: 0.0
Arm2: 0.0
Arm3: 0.0
Arm3: 0.0
Arm1:NVX-CoV2373(5µg) + influenza
Arm2: Placebo + influenza
Arm2: NVX-CoV2373(5µg)
Arm2: Placebo
Arm1:2
Arm2: 8
Arm3: 1
Arm4: 8
87.5 (0.2, 98.4)
Torales (2022) 47 Paraguay Healthy adults total: 1105
n1: 520
n2: 510
Arm1: 32.1
Arm2: 32.2
Arm1:58.5
Arm2: 61.8
28 interim analysis Arm1: 10.4
Arm2: 10.0
Arm1:MVC-COV1901
Arm2: AZD1222
Arm1: NR
Arm2: NR
62.6 (50.9, 71.5)
Walter (2022) 48 USA Children total: 2285
n1: 1528
n2: 757
Arm1: 8.2
Arm2: 8.1
Arm1:52.3
Arm2: 50.6
69 ITT Arm1: 1.2
Arm2: 1.5
Arm1:BNT162b2(30µg)
Arm2: Placebo
Arm1:3
Arm2: 16
90.7 (67.4, 98.3)
Winokur (2022) 49 USA Healthy adults total: 1846
n1: 306
n2: 302
n3: 308
n4: 308
n5: 306
n6: 316
Arm1: 66
Arm2: 67
Arm2: 67
Arm2: 67
Arm2: 67
Arm2: 67
Arm1:47.4
Arm2: 48.0
Arm2: 50.0
Arm2: 49.7
Arm2: 52.9
Arm2: 48.4
51 ITT Arm1: 1.3
Arm2: 0.3
Arm3: 1.0
Arm4: 1.3
Arm5: 0.7
Arm6: 0.9
Arm1:BNT162b2(30µg)
Arm2: BNT162b2(60µg)
Arm3: monovalent BA.1(30µg)
Arm4: monovalent BA.1(60µg)
Arm5: bivalent BA.1(30µg)
Arm6: bivalent BA.1(60µg)
Arm1:7
Arm2: 6
Arm3: 7
Arm4: 3
Arm5: 1
Arm6: 6
NR
Mohraz (2023) 50 Iran Healthy adults total: 20000
n1: 13335
n2: 6665
Arm1: 38.3
Arm2: 38.2
Arm1: 65.5
Arm2: 65.4
83 PP Arm1: 0.49
Arm2: 0.23
Arm1: BIV1-CovIran
Arm2: Placebo
Arm1: 758
Arm2: 688
50.2 (44.7, 55.0)

Note. PP: Per-protocol; ITT: Intention to treat; NR: Not reported; CI: Confidence interval.

The incidence of confirmed cases of symptomatic COVID-19 among adults has been reported in 25 RCTs. These RCTs formed two subnetworks involving 23 vaccines and 20 designs. The first subnetwork entails 24 RCTs with 24 pairwise comparisons, 20 vaccines, one placebo, and 19 designs. Figure 3 illustrates the visual presentation of this network. The I2 value for this network was 84.7%, and the p-value for heterogeneity testing (within the design) was < 0.001. There was no indication of publication bias in this NMA, as the P value of the Egger test was 0.308.

jrhs-23-e00593-g003
Figure 3.

The network plot of the available COVID-19 vaccines compared in phase three trials


The efficacy of vaccines has been reported in 27 RCTs. The highest reported efficacy (99.0%; 95% CI: 75.0, 100.0) was associated with BNT162b2 (30 µg), according to Table 1.

Based on the results of the NMA and the simultaneous comparison of all vaccines versus placebo, mRNA-1273 was the most effective vaccine in preventing COVID-19, and the highest P-score (0.93) was associated with this vaccine. The RR for mRNA-1273 versus placebo was 0.07 (95% 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 (RR = 0.09; 95% CI: 0.03, 0.25; P-score = 0.88). Overall, all vaccines, except for MenACWY, were significantly effective in preventing COVID-19 (Figure 4). The pooled comparisons of all vaccines are presented in Table S2 (see Supplementary file 1). The vaccines in a three-arm RCT were not connected to the network.24 In this study, two inactivated vaccines, including SARS-CoV-2 WIV04 and HB02, were compared with aluminum hydroxide. Based on the results of this study, the vaccine efficacy for WIV04 and HB02 was 72.8% and 78.1%, respectively.

jrhs-23-e00593-g004
Figure 4.

The forest plot for the comparison of the available COVID-19 vaccines versus placebo in the network meta-analysis


The included RCTs evaluating the vaccines in children were five RCTs24,26,32,42,48 with six pairwise comparisons, five interventions, and four designs. The visual representation of the vaccine network is depicted in Figure S1(see Supplementary file 1). The I2 value for this network and the P value for the test of heterogeneity (within design) were 0 and 0.710, respectively. In children, the highest efficacy was associated with BNT162b2 (30 µg, 99.0%; 95% CI: 75.3, 100.0) in an RCT by Frenck et al32 (Table 1).

Based on the results of the NMA, BNT162b2 (30 µg) was the most effective vaccine in children (P-score = 0.84). The RR for comparing BNT162b2 (30 µg) with a placebo was 0.08 (95% CI: 0.03, 0.24). Overall, all vaccines were effective in preventing COVID-19 in this group compared to placebo Figure S2 (see Supplementary file 1). The pooled comparisons of all vaccines in this group are provided in Table S3 (see Supplementary file 1).

Two RCTs were conducted on people over 55 years of age. In the study by Sadoff et al comparing single-dose Ad26.CoV2.S with a placebo, vaccine efficacy ≥ 14 days and ≥ 28 days after administration was 55.0% (95% CI: 42.9, 64.7) and 46.6% (95% CI: 30.7, 59.0), respectively.43 In another RCT by Winokur et al, BNT162b2 (30 µg), BNT162b2 (60 µg), monovalent BA.1 (30 µg), monovalent BA.1 (60 µg), bivalent BA.1 (30 µg), and bivalent BA.1 (60 µg) were compared, there was no significant difference among the mentioned vaccines in terms of the incidence of confirmed cases of COVID-19 after administration.49

Table 2 summarizes the RR for the incidence of major vaccine complications, including local reactions, fatigue, chills, fever, pain, and headache. Based on the results of NMA for the mentioned complications, the risk of local reaction for Ad5-nCoV (0.5 mL) was the highest compared with a placebo among RCTs reporting this complication. The risks of fatigue, chills, fever, pain, and headache were the highest for Sinovac, BNT162b2, BNT162b2, Sinovac, and BNT162b2 (30 µg), respectively. Among children, BNT162b2 was associated with the highest risk of the above-mentioned complications. The simultaneous comparisons of the vaccines for the incidence of local reactions, fatigue, chills, fever, pain, and headache are listed in Tables S4-S9(see Supplementary file 1).


Table 2. The relative risk for the complications of each vaccine versus the placebo
Vaccines Local Reaction Fatigue Chill Fever Pain Headache
Ad26.CoV2.S 3.04 (2.51, 3.67) 1.89 (1.48, 2.42) Unreported Unreported 2.69 (2.08, 3.47) 1.84 (1.49, 2.27)
Ad5-nCoV 3.09 (2.33, 4.10) 1.68 (0.56, 5.09) Unreported 7.92 (1.46, 42.83) 2.13 (1.47, 3.07) 1.45 (1.07, 1.97)
Ad5-nCoV (0·5 mL) 17.86 (4.37, 72.92) Unreported Unreported 3.16 (0.53, 18.73) 0.34 (0.17, 0.69) 1.24 (0.49, 3.11)
BIV1-CovIran 1.08 (0.83, 1.39) 3.37 (2.73, 4.15) Unreported Unreported Unreported Unreported
BNT162b2 (30 µg) 7.36 (6.24, 8.68) 1.67 (1.19, 2.35) 11.05 (7.31, 16.71) Unreported 5.34 (4.24, 6.74) 2.88 (2.40, 3.46)
ChAdOx1 nCoV-19 2.5 (1.74, 3.59) 1.19 (0.83, 1.70) 3.96 (2.10, 7.48) Unreported 3.59 (2.50, 5.17) 1.77 (1.33, 2.36)
CoronaVac 1.75 (1.20, 2.56) 2.71 (1.91, 3.84) 1.28 (0.64, 2.54) 1.22 (0.23, 6.47) 1.32 (0.89, 1.97) 0.96 (0.70, 1.32)
CVnCoV 5.54 (4.18, 7.35) Unreported 9.89 (5.02, 19.46) 92.34 (14.40, 592.22) 5.91 (4.04, 8.65) 3.07 (2.27, 4.15)
Gam-COVID-Vac 0.55(0.33,0.90) Unreported Unreported 1.33 (0.09, 20.45) 0.83 (0.16, 4.43) 1.11 (0.50, 2.45)
mRNA-1273 (100 µg) 4.72 (3.66, 6.09) 2.81 (2.01, 3.93) 7.99 (4.22, 15.13) 52.92 (10.03, 279.34) 4.68 (3.31, 6.61) 2.52 (1.90, 3.34)
MVC-CoV1901 2.6 (1.59, 4.26) 1.93 (1.05, 3.55) 5.44 (1.79, 16.49) Unreported 4.7 (2.48, 8.89) 1.77 (1.05, 2.99)
NVX-CoV2373 3.76 (2.91, 4.86) 2.34 (1.67, 3.28) Unreported 21.16 (3.91, 114.36) 4.12 (2.91, 5.84) 2.34 (1.76, 3.12)
Placebo 1.00 1.00 1.00 1.00 1.00 1.00
QazCOVID-in (5 µg) 3.75 (2.25, 6.25) 0.25 (0.03, 1.82) 0.38 (0.09, 1.54) 0.47 (0.07, 2.97) 0.31 (0.08, 1.21) 0.75 (0.39, 1.45)
SCB-2019 (30 µg) 3.47 (2.36, 5.11) 1.35 (0.86, 2.12) 1.92 (0.75, 4.92) 2.50 (0.25, 25.33) 1.20 (0.71, 2.04) 1.10 (0.74, 1.64)
Sinovac 3.48 (2.19, 5.52) 6.27 (2.66, 14.81) Unreported 2.00 (0.19, 21.04) 8.98 (4.03, 20.00) Unreported
Soberana02 2.49 (1.92, 3.24) 1.2 (0.85, 1.70) 1.05 (0.52, 2.13) 1.16 (0.22, 5.99) 1.29 (0.87, 1.91) 1.07 (0.79, 1.44)
Soberana02 + Soberana plus 2.66 (1.93, 3.66) 1.21 (0.79, 1.85) 1.25 (0.36, 4.34) 1.64 (0.30, 8.92) 2.39 (1.18, 4.84) 1.11 (0.74, 1.67)
ZyCoV-D (2s mg) 1.06 (0.62, 1.82) 0.65 (0.28, 1.48) Unreported 1.23 (0.21, 7.39) 1.17 (0.50, 2.71) 0.95 (0.49, 1.85)

Discussion

In this NMA, the available vaccines (20 vaccines versus a placebo) were ranked for the prevention of symptomatic COVID-19. Based on the results of this study, mRNA-1273, BNT162b2, and Gam-COVID-Vac were the most effective vaccines in adults. In children, BNT162b2 was the most effective vaccine. Overall, all vaccines, except for MenACWY, were significantly effective in preventing COVID-19 in adults. Local reactions, fatigue, chills, fever, pain, and headaches were the common complications in the included RCTs. The risk of these complications was the highest for Ad5-nCoV (0.5 mL), Sinovac, BNT162b2 (30 µg), BNT162b2 (30 µg), Sinovac, and BNT162b2 (30 µg) versus a placebo, respectively. In this NMA, the previously published NMAs were updated, and the latest published RCTs were included in this study.

In a published NMA of nine vaccines, BNT162b2 mRNA-1273, followed by Gam-COVID-Vac, were ranked with the highest probability of efficacy against symptomatic COVID-19.11 Our results are in line with a published NMA in 2022, showing that BNT162b2, mRNA-1273, and rAd26&rAd5 (Gam-COVID-Vac) were the three best vaccines, respectively.12 The results of a previously published NMA from 2021 aligned with our findings concerning symptomatic COVID-19 prevention.13 According to this NMA, Pfizer, Moderna, and Sputnik were the most effective vaccines, which is consistent with our results. Our study added value to the previous NMA by simultaneously comparing 20 vaccines. Overall, our findings confirmed those of prior NMA studies.

In this study, comparing different doses of BNT162b2 and mRNA-1273 mRNA vaccines in children and adolescents, all doses were effective in preventing symptomatic COVID-19. However, BNT162b2 (30 μg) was found to be the most effective vaccine. These findings align with other published NMAs, suggesting that mRNA vaccines are the most effective in preventing symptomatic COVID-19. Despite opposition from some companies regarding the use of mRNA-based vaccines,51 it appears that these platforms are effective in fighting the pandemic. Unlike protein-based vaccines that primarily stimulate antibody production, mRNA vaccines elicit both cellular and hormonal immune responses.52

In addition to vaccine efficacy and disease prevention, the safety and incidence of complications are crucial considerations in vaccine use. The included RCTs reported varying complication profiles. To address this issue, our NMA analyzed the risk of commonly reported complications such as local reactions, fatigue, chills, fever, pain, and headaches. Based on our findings, the highest risk for local reactions, fatigue, chills, fever, pain, and headaches occurred for Ad5-nCoV (0.5 mL), as well as for the Sinovac and BNT162b2 vaccines. According to an NMA, Pfizer, QazCOVID-in, and Clover vaccines have the highest risk for local side effects. In terms of systemic side effects, the ZyCoV-D, V591, V-01, and Sinopharm vaccines were the safest options, while the Pfizer, Clover, and QazCOVID-in vaccines carried the highest risk of developing such effects.13 Vaccines, similar to any other medical intervention, come with potential complications. While common complications are identified in phases two and three of trials, the identification of rare complications requires phase four studies in post-licensing evaluations. Overall, the decision to introduce a new vaccine depends on the burden of the disease, vaccine efficacy and effectiveness, vaccine safety, and the costs and cost-effectiveness of the vaccine.16

The key advantage of this study over previous NMAs is its comparison of multiple vaccines. For instance, the NMA includes findings from RCTs conducted in Iran on Soberana 02, Soberana Plus,10 and BIV1-CovIran vaccines.50

We were unable to assess the consistency assumption in this NMA due to the absence of a closed loop in the vaccine network and the use of solely indirect estimates in the comparison of vaccines. Therefore, we could only evaluate the transitivity assumption qualitatively. Based on our evaluation of the transitivity assumption, we decided to conduct a subgroup NMA, including participants in different age groups [children and adolescents ( < 18 years old), adults (18-55 years old), and older adults ( > 55 years old)]. In this NMA, the available vaccines were ranked based on their ability to prevent symptomatic COVID-19. However, it is important to note that several factors, such as the virus strain, mutations, variations in the study population and setting, and the quality of the studies, were not accounted for in this NMA. Therefore, the results should be interpreted with caution.

Highlights

  • The twenty-three available COVID-19 vaccines were compared and ranked simultaneously.

  • All available vaccines are effective in preventing symptomatic COVID-19.

  • MRNA-1273 (Moderna) was the most effective vaccine for preventing COVID-19.


Conclusion

Based on the NMA results, all available vaccines have proven effective in preventing COVID-19. However, the top three ranked vaccines were mRNA-1273, BNT-162b2, and Gam-COVID-Vac, with the mRNA vaccines taking the lead. It is important to note that BNT-162b2 has a high risk of complications, including fatigue, chills, fever, pain, and headaches.


Acknowledgements

This study was part of the MSc thesis in epidemiology. We would like to thank the Health Sciences Research Center and the Vice-chancellor for Research and Technology of the Hamadan University of Medical Sciences for supporting this study.


Authors’ Contribution

Conceptualization: Amin Doosti-Irani.

Data curation: Shima Hossaini, Bushra Zareie, Amin Doosti-Irani.

Formal analysis: Amin Doosti-Irani and Shima Hossaini.

Investigation: Shima Hossaini, Fariba Keramat, Amin Doosti-Irani, Zahra Cheraghi.

Methodology: Amin Doosti-Irani, Shima Hossaini, Zahra Cheraghi.

Project administration: Amin Doosti-Irani.

Software: Amin Doosti-Irani, Shima Hossaini.

Supervision: Amin Doosti-Irani, Fariba Keramat.

Validation: Fariba Keramat, Zahra Cheraghi, Bushra Zarei, Amin Doosti-Irani.

Visualization: Amin Doosti-Irani, Shima Hossaini, Bushra Zareie.

Writing–original draft: Amin Doosti-Irani and Shima Hossaini.

Writing–review & editing: Amin Doosti-Irani, Zahra Cheraghi, Fariba Keramat, Shima Hossaini, Bushra Zareie.


Competing Interests

None.


Funding

None.


Supplementary Files

Supplementary file 1 contains Figure S1 and Tables S1-S9. (pdf)

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Submitted: 30 Sep 2023
Revised: 05 Nov 2023
Accepted: 03 Dec 2023
First published online: 29 Dec 2023
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