Literature DB >> 34066475

Efficacy and Safety of COVID-19 Vaccines: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

Ali Pormohammad1, Mohammad Zarei2, Saied Ghorbani3, Mehdi Mohammadi1, Mohammad Hossein Razizadeh3, Diana L Turner4, Raymond J Turner1.   

Abstract

The current study systematically reviewed, summarized and meta-analyzed the clinical features of the vaccines in clinical trials to provide a better estimate of their efficacy, side effects and immunogenicity. All relevant publications were systematically searched and collected from major databases up to 12 March 2021. A total of 25 RCTs (123 datasets), 58,889 cases that received the COVID-19 vaccine and 46,638 controls who received placebo were included in the meta-analysis. In total, mRNA-based and adenovirus-vectored COVID-19 vaccines had 94.6% (95% CI 0.936-0.954) and 80.2% (95% CI 0.56-0.93) efficacy in phase II/III RCTs, respectively. Efficacy of the adenovirus-vectored vaccine after the first (97.6%; 95% CI 0.939-0.997) and second (98.2%; 95% CI 0.980-0.984) doses was the highest against receptor-binding domain (RBD) antigen after 3 weeks of injections. The mRNA-based vaccines had the highest level of side effects reported except for diarrhea and arthralgia. Aluminum-adjuvanted vaccines had the lowest systemic and local side effects between vaccines' adjuvant or without adjuvant, except for injection site redness. The adenovirus-vectored and mRNA-based vaccines for COVID-19 showed the highest efficacy after first and second doses, respectively. The mRNA-based vaccines had higher side effects. Remarkably few experienced extreme adverse effects and all stimulated robust immune responses.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; efficacy; meta-analysis; randomized clinical trial; side effect; vaccines

Year:  2021        PMID: 34066475      PMCID: PMC8148145          DOI: 10.3390/vaccines9050467

Source DB:  PubMed          Journal:  Vaccines (Basel)        ISSN: 2076-393X


1. Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a non-segmented positive-sense, single-stranded ribonucleic acid (RNA) beta coronavirus [1] that was first reported in Wuhan, China. The SARS-CoV-2 infection causes the coronavirus disease 2019 (COVID-19) that became a global pandemic and public health crisis. Over 140 million infected and 3 million deaths are reported from COVID-19 by April 2021, with the death rate accelerating; according to WHO, the case fatality ratio (CFR) of SARS-CoV-2 ranges from less than 0.1% to over 25% depending on the country [2]. To overcome this pandemic, vaccination is the hope for a safe and effective way to help build protection and reduce disease spread [3]. More than 200 COVID-19 vaccine candidates presented in different stages of development and over 50 candidates have reached clinical trials to date [4], including: Oxford-AstraZeneca’s ChAdOx1/AZD1222, Moderna’s mRNA-1273, Pfizer-BioNTech’s mRNA BNT162b2, Gamaleya’s Sputnik V, Johnson & Johnson’s INJ-7843735/Ad26.COV2.s, CoronaVac, Sinopharm’s BBIBP-CorV, Novavax’s NVX-CoV2373, EpiVacCorona, CanSino’s Convidicea (Ad5-nCoV), SinoVac’s CoronaVac, Anhui Zhifei Longcom’s ZF2001, GlaxoSmithKline and Medicago’s CoVLP, and Bharat Biotech’s BBV152/Covaxin. Different strategies have been considered for the development of vaccines against SARS-CoV-2 based on the following vaccine platforms: (I) Nucleic acid mRNA-based vaccines are the newest generation of vaccine production approach [5]. The mRNA vaccine technology is a single-stranded RNA molecule that carries a portion of the coding sequence for the peptide or protein from the virus that can be synthesized in the cytoplasm (ribosomes). The resulting antigen triggers an immune response, including the production of antibodies [5]. For instance, the current vaccines developed by the companies Pfizer and Moderna utilize synthetic mRNA encoding the sequence of the coronavirus’s signature spike protein (S-protein) that is then encapsulated within a lipid vesicle nanoparticle. (II) Viral vector vaccines that are developed with new biotechnology [6]. A modified existing virus, able to infect human cells, is introduced carrying the genetic code of the target virus antigen in order to stimulate an immune response. Oxford-AstraZeneca, Gamaleya, CanSio and Johnson & Johnson developed their vaccines based on a DNA sequence encoding the S-protein inserted into the genome of a modified safe adenovirus. (III) Whole-Pathogen Inactivated virus vaccines consisting of killed/inactivated whole viruses or virus fragments. Here the pathogen’s genetic material is destroyed by heat, chemicals, or radiation, so that they cannot replicate but their presence can still stimulate immunogenicity [7]. Sinopharm, SinoVac, and Bharat Biotech’s vaccines were produced by inactivating the SARS-CoV-2 with B-propiolactone, but all the viral protein remains intact. (IV) Subunit vaccines that contain a fragment of the pathogen, either a protein (Pro-subunit), a polysaccharide, or a combination of both, without introducing viable pathogen particles [8]. Lack of genetic material makes them safe and non-infectious/non-viable. Novavax and Anhui Zhifei Longcom applied this technology for the development of their vaccine, using nanoparticles coated with synthetic S-protein and an adjuvant for boosting the immune response. Virus-like particle (VLP) vaccines, also a subunit vaccine, mimic the native virus structure, but contain no viral genetic material [9]. A VLP presents the antigen inserted on a nanoparticle surface. GlaxoSmithKline and Medicago used a plant-derived platform to produce a particle that elicits neutralizing antibody and immune cell (e.g., TH1 T cell) responses against COVID-19. The structural proteins of SARS-CoV-2 include four major proteins: spike (S), membrane (M), and envelope (E) part of the viral surface envelope, and the nucleocapsid (N) protein in the ribonucleoprotien core. Among viral surface elements, the S-protein is a primary target for vaccines and therapeutic development against COVID-19 due to its role in the receptor recognition for cell entry and cell membrane fusion process. The trimeric S-protein contains two subunits, S1 and S2. The S1 contains a receptor-binding domain (RBD), which is responsible for recognizing and binding to the host receptor angiotensin-converting enzyme 2 (ACE2), while the S2 mediates the membrane fusion process by forming a six-helical bundle (6-HB) via the two-heptad repeat (HR) regions [10]. However, S1 is the immunodominant antigen during CoV infections and induces long-lasting and broad-spectrum neutralizing antibodies (NAbs) and T-cell immune responses against the RBD. Thus, the S-protein and the RBD serve as the promising targets of SARS-CoV-2 vaccines and the predominant antigenic target for developing a vaccine [11]. Other antigenic targets, such as non-structural proteins (nsp) 3, nsp8-10 [12], papain-like proteases (PLpro), and cysteine-like protease (3CLpro) [13] can be considered an alternative for vaccine development, but these are expected to elicit less of an immune response. Efficacy and safety, thus side effect profiles, are core vaccine competencies required by medical care systems and public health. To the best of our knowledge, there is still no comprehensive comparative study around the efficacy and safety of COVID-19-related vaccines. In this regard, we provide here a meta-analysis on available randomized clinical trial (RCT) publications providing information on the efficacy and side effects of COVID-19 vaccines.

2. Methods

2.1. Search Strategy

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement (PRISMA) recommendations were followed in this analysis [14]. We searched all clinical trial publications related to SARS-CoV-2 vaccines from the following databases: Scopus, EMBASE, Medline (via PubMed), and Web of Science. All studies published up to 12 March 2021 were searched without language restriction by three independent reviewers. Search medical subject headings (MeSH) terms used were “Covid-19 Vaccine”, “SARS-CoV-2 Vaccine”, “clinical trial” or “phase trial”, and “randomized”, as well as all synonyms. We used the Center for Disease Control (CDC), World Health Organization (WHO), and Google Scholar databases/academic search engines to look for unpublished and grey literature. References and citation lists of selected articles and reviews were also reviewed for any other relevant literature (forward and backward citation, recommended by Cochrane). Additional search strategy details are provided in Table S1.

2.2. Study Selection

The records were first reviewed by three independent authors based on the title and abstract (MHR, AP, and SG), all unrelated publications were removed and the full texts of the remaining articles were reviewed. Then, two independent reviewers (AP and SG) judged potentially eligible articles and disagreements were resolved by discussion and for each article a consensus was reached.

2.3. Eligibility and Inclusion Criteria

The following predetermined conditions had to be met for studies to be considered for inclusion in this meta-analysis. For initial screening, all clinical studies were included in the systematic review, while RCT studies in phase I/II/III of COVID-19 vaccines were included in the meta-analysis.

2.4. Exclusion Criteria

Non-randomized studies, studies without a placebo group, preclinical studies, studies on animal phase, meta-analyses, letters to the editor, review articles, studies with no extractable data, and news reports were excluded for the meta-analysis. However, non-randomized studies were included only in the systematic review. Additionally, 11 vaccine studies (43 datasets) with no report in the type of adjuvants were excluded from the adjuvant side effect sub-group meta-analysis.

2.5. Data Extraction

Four independent reviewers extracted data from the studies that were chosen. The following data were obtained from each article: first authors, trial initiation date, published year, vaccine name, company, study type, vaccine type, adjuvant, store temperature, trial phase, doses, injection interval (days), concentration, volume, trial country, all side effects, and efficacy-related data. Three of the authors (S.G, M.H.R, and A.P) extracted data independently, and another author (M.Z) reviewed extracted data at random; discrepancies were resolved by consensus.

2.6. Quality Assessment

The JADAD scale (Oxford quality scoring system) for reporting quality of RCTs was used to evaluate the included articles’ quality. The JADAD scale included the three quality parameters of randomization, blinding, and account of all patients. Two questions are asked for the first two parameters, and one question is asked for the third parameter. Each query is given a score of one or zero. The highest acceptable score on the prepared checklist was five, with the lowest acceptable score being three. Data were derived from papers with a ranking of at least three (Table S2).

2.7. Analysis

Initially, cleaning data and preparing them for analysis was done in Microsoft Office 365 and analysis was performed by Comprehensive Meta-Analysis Software Version 2.0 software. The point estimates of the effect size, odds ratios (ORs), and 95% confidence interval (95% CI) were calculated for estimating vaccine efficacy and side effects. Random effects models were used to estimate pooled effects. Additionally, to search for heterogeneity between studies, the I2 statistic was used [15] and high heterogeneity was characterized as an I2 > 50%, with sources of heterogeneity established through meta-regression and subgroup analyses. Subgroup analysis based on the vaccine phases significantly decreased the heterogeneity in the high heterogeneity cases. The presence and effect of publication bias were examined using funnel plots, Begg’s test, and Egger weighted regression methods [16,17]. For all analyses, two-tailed statistics and a significance level of less than 0.05 were considered.

3. Result

3.1. Characteristics of Included Studies

A total of 32,790 publications were screened for the COVID-19 vaccines’ side effects and efficacies. Out of these studies, 27 met the systematic review’s inclusion criteria (non-randomized and randomized), while 25 randomized studies were included in the meta-analysis (Figure 1). Characteristics of the selected articles are summarized in Table 1. A total of 25 studies (123 datasets) were included in the meta-analysis. Studies with different vaccine phase reports, number of doses, injection concentration, different case, and control group numbers are considered a separate dataset for the meta-analysis. All included studies were written in English. Out of 25 randomized studies, 12 were double-blind, 2 participant-blind, 6 observer-blind, 3 single-blind, and 2 partially blind. The number of studies by vaccine platforms were 7 mRNA-based, 4 pro-subunit, 8 adenovirus-vector, 5 inactivated, and 1 VLPs.
Figure 1

Flow diagram of literature search and study selection for meta-analysis (PRISMA flow chart).

Table 1

Characterization of included studies.

StudyTrial Initiation DatePub. YearVaccine NameCompanyStudy TypeVaccine TypeAdjuvantStore Temp (°C)RCT PhaseDose (s)Age Range (Year)Injection Interval (Days)ConcentrationTrial CountryRef
Yang et al.22 June and 3 July 2020 2020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8I322.9–54.73025 μg *China[18]
Yang et al.22 June and 3 July 2020 2020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8I320.9–49.43050 μg *China[18]
Ella et al.13 and 30 July 20202021BBV152 (Covaxin)Bharat BiotechRandomized, double-blind, placebo-controlledInactivatedAlgel-IMDG2–8I218–55143 μg *India[19]
Ella et al.13 and 30 July 20202021BBV152 (Covaxin)Bharat BiotechRandomized, double-blind, placebo-controlledInactivatedAlgel-IMDG2–8I218–55146 μg *India[19]
Ella et al.13 and 30 July 20202021BBV152 (Covaxin)Bharat BiotechRandomized, double-blind, placebo-controlledInactivatedAlgel2–8I218–55146 μg*India[19]
Zhu et al.16 and 27 March 20202020Ad5-nCoVCanSinoNon-randomizedAdenovirus-basedNo adjuvantUNI118–60No5 × 101⁰ VP *China[20]
Zhu et al.16 and 27 March 20202020Ad5-nCoVCanSinoNon-randomizedAdenovirus-basedNo adjuvantUNI118–60No1 × 1011 VP * China[20]
Zhu et al.16 and 27 March 20202020Ad5-nCoVCanSinoNon-randomizedAdenovirus-basedNo adjuvantUNI118–60No1.5 × 1011 VP * China[20]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitNo adjuvant2–8I220–50213 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I224–53213 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I255–70213 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I220–53213 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I255–71213 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitNo adjuvant2–8I220–54219 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I221–53219 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I255–64219 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I219–55219 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I255–67219 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitNo adjuvant2–8I218–492130 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I219–472130 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitAS032–8I255–632130 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I221–502130 μg *Australia[21]
Richmond et al.19 June and 23 September 20202021SCB-2019CloverRandomized, double-blind, placebo-controlledPro-SubunitCpG/Alum2–8I255–742130 μg *Australia[21]
Kremsner et al.June, 20202020CVnCoVCurevacRandomized, partially blind, placebo-controlledmRNA-basedNo adjuvant5I218–60282 μg *Germany[22]
Kremsner et al.June, 20202020CVnCoVCurevacRandomized, partially blind, placebo-controlledmRNA-basedNo adjuvant5I219–59284 μg *Germany[22]
Kremsner et al.June, 20202020CVnCoVCurevacRandomized, partially blind, placebo-controlledmRNA-basedNo adjuvant5I220–59286 μg *Germany[22]
Kremsner et al.June, 20202020CVnCoVCurevacRandomized, partially blind, placebo-controlledmRNA-basedNo adjuvant5I220–59288 μg *Germany[22]
Kremsner et al.June, 20202020CVnCoVCurevacRandomized, partially blind, placebo-controlledmRNA-basedNo adjuvant5I219–592812 μg *Germany[22]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPNo adjuvant2–8I218–55213.75 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPCpG 10182–8I218–55213.75 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPAS032–8I218–55213.75 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPNo adjuvant2–8I218–55217.5 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPCpG 10182–8I218–55217.5 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPAS032–8I218–55217.5 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPNo adjuvant2–8I218–552115 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPCpG 10182–8I218–552115 μg *Canada[23]
Ward et al.July, 20202020CoVLPMedicagoRandomized, partially blindVLPAS032–8I218–552115 μgCanada[23]
Jackson et al.16 March and 14 April 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I218–552825 μg *United States[24]
Jackson et al.16 March and 14 April 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I218–5528100 mg *United States[24]
Jackson et al.16 March and 14 April 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I218–5528250 mg *United States[24]
Anderson et al.16 April and 12 May 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I256–702825 mg *United States[25]
Anderson et al.16 April and 12 May 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I271≤2825 mg *United States[25]
Anderson et al.16 April and 12 May 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I256–7028100 mg *United States[25]
Anderson et al.16 April and 12 May 20202020mRNA-1273ModernaOpen-labelmRNA-basedNo adjuvant−20I271≤28100 mg *United States[25]
Keech et al.26 May and 6 June 20202020NVX-CoV2373NovavaxRandomized, observer-blind, placebo-controlledPro-SubunitNo adjuvant2–8I218–592125 μg/0.6 mlAustralia, United States[26]
Keech et al.26 May and 6 June 20202020NVX-CoV2373NovavaxRandomized, observer-blind, placebo-controlledPro-SubunitMatrix-M12–8I218–59215 μg/0.6 mlAustralia, United States[26]
Keech et al.26 May and 6 June 20202020NVX-CoV2373NovavaxRandomized, observer-blind, placebo-controlledPro-SubunitMatrix-M12–8I218–592125 μg/0.6 mlAustralia, United States[26]
Keech et al.26 May and 6 June 20202020NVX-CoV2373NovavaxRandomized, observer-blind, placebo-controlledPro-SubunitMatrix-M12–8I118–592125 μg/0.6 mlAustralia, United States[26]
Sahin et al.23 April and 22 May 20202020BNT162b1Pfizer/BioNTechRandomized, single-blindmRNA-basedNo adjuvant(−60)–(−80)I218–55211 μg *Germany[27]
Sahin et al.23 April and 22 May 20202020BNT162b1Pfizer/BioNTechRandomized, single-blindmRNA-basedNo adjuvant(−60)–(−80)I221.4–55.82110 μg *Germany[27]
Sahin et al.23 April and 22 May 20202020BNT162b1Pfizer/BioNTechRandomized, single-blindmRNA-basedNo adjuvant(−60)–(−80)I225.1–552130 μg *Germany[27]
Sahin et al.23 April and 22 May 20202020BNT162b1Pfizer/BioNTechRandomized, single-blindmRNA-basedNo adjuvant(−60)–(−80)I223.9–542150 μg *Germany[27]
Sahin et al.23 April and 22 May 20202020BNT162b1Pfizer/BioNTechRandomized, single-blindmRNA-basedNo adjuvant(−60)–(−80)I119.9–47.8No60 μg *Germany[27]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I220.9–53.22110 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I218–552110 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I265–852120 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I218–552120 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I265–852130 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)1218–552130 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I265–852110 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I218–552110 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I265–852120 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I218–552120 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I265–852130 μg *United States, Germany[28]
Walsh et al.4 May and 22 June 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I218–552130 μg *United States, Germany[28]
Xia et al.12 April and 2 May 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I365–85282.5 μg *China[29]
Xia et al.12 April and 2 May 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I318–59285 μg *China[29]
Xia et al.12 April and 2 May 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I318–592810 μg *China[29]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59282 μg *China[30]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59282 μg *China[30]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I260 ≤284 μg *China[30]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59284 μg *China[30]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I260 ≤288 μg *China[30]
Xia et al.29 April and 28 June 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59288 μg *China[30]
Zhang et al.16 and 25 April 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I260≤143 μg *China[31]
Zhang et al.16 and 25 April 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59283 μg *China[31]
Zhang et al.16 and 25 April 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59146 μg *China[31]
Zhang et al.16 and 25 April 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8I218–59286 μg *China[31]
Logunov et al.18 June and 3 August 20202020Sputnik VGamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8I118–59No1011 VP *Russia[32]
Logunov et al.18 June and 3 August 20202020Sputnik VGamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8I118–60No1011 *Russia[32]
Logunov et al.18 June and 3 August 20202020Sputnik V (Lyo)GamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8I118–60No1011 *Russia[32]
Logunov et al.18 June and 3 August 20202020Sputnik V (Lyo)GamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8I118–60No1011 *Russia[32]
Folegatti et al.23 April and 21 May 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8I/II218–60285 × 101⁰ VP *United Kingdom[33]
Mulligan et al.4 May and 19 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I/II218–552110 μg *Multicenter 1[34]
Mulligan et al.4 May and 19 June,20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I/II224–422130 μg *Multicenter 1[34]
Mulligan et al.4 May and 19 June 20202020BNT162b1Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)I/II123–52No100 μg *Multicenter 1[34]
Yang et al.12 and 17 July 20202020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8II225–533025 μg *China[18]
Yang et al.12 and 17 July 20212020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8II218.8–58.43050 μg *China[18]
Yang et al.12 and 17 July 20222020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8II319.9–59.13025 μg *China[18]
Yang et al.12 and 17 July 20232020ZF2001Anhui Zhifei LongcomRandomized, double-blind, placebo-controlledPro-SubunitAluminum hydroxide2–8II320–59.73050 μg *China[18]
Zhu et al.11 and 16 April 20202020Ad5-nCoVCanSinoRandomized, double-blind, placebo-controlledAdenovirus-basedNo adjuvantUNII119.3–59.6No1 × 1011 *China[35]
Zhu et al.11 and 16 April 20202020Ad5-nCoVCanSinoRandomized, double-blind, placebo-controlledAdenovirus-basedNo adjuvantUNII118≤No5 × 101⁰ *China[35]
Chu et al.29 May and 8 July 20202020mRNA-1273ModernaRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant−20II218≤2850 mg *United States[36]
Chu et al.29 May and 8 July 20202020mRNA-1273ModernaRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant−20II218–54.992850 mg *United States[36]
Chu et al.29 May and 8 July 20202020mRNA-1273ModernaRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant−20II255≤28100 mg *United States[36]
Chu et al.29 May and 8 July 20202020mRNA-1273ModernaRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant−20II218–54.9928100 mg *United States[36]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II255≤282.2 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II118–55No2.2 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II256–69282.2 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II156–69No2.2 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II270≤282.2 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II270≤283.5–6.5 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II118–55No3.5–6.5 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II256–69283.5–6.5 × 101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II156–69No3.5–6.5 ×101⁰ VP *United Kingdom[37]
Ramasamy et al.30 May and 8 August 20202020AZD1222Oxford/AstraZenecaRandomized, participant-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II270≤283.5–6.5 × 101⁰ VP *United Kingdom[37]
Xia et al.12 April and 2 May 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II370≤285 μg *China[29]
Xia et al.12 April and 2 May 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II318–59285 μg *China[29]
Xia et al.18 May and 30 July 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II118–59No8 μg *China[30]
Xia et al.18 May and 30 July 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59144 μg *China[30]
Xia et al.18 May and 30 July 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59214 μg *China[30]
Xia et al.18 May and 30 July 20202020BBIBP-CorVSinopharmRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59284 μg *China[30]
Zhang et al.3 and 5 May 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59143 μg *China[31]
Zhang et al.3 and 5 May 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59283 μg *China[31]
Zhang et al.3 and 5 May 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59146 μg *China[31]
Zhang et al.3 and 5 May 20202020CoronaVacSinovacRandomized, double-blind, placebo controlledInactivatedAluminum hydroxide2–8II218–59286 μg *China[31]
Logunov et al.18 June and 3 August 20202020Sputnik VGamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8II218–59211011 VP *Russia[32]
Logunov et al.18 June and 3 August 20202020Sputnik V (lyophilised)GamaleyaNon-randomizedAdenovirus-basedNo adjuvant2–8II218–60211011 VP *Russia[32]
Voysey et al.23 April and 4 November 20202021AZD1222Oxford/AstraZenecaRandomized, single-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II/III218–60282.2 × 101⁰ VP * (1st)/5 × 101⁰ VP * (2nd)United Kingdom [38]
Voysey et al.23 April and 4 November 20202021AZD1222Oxford/AstraZenecaRandomized, single-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8II/III218≤285 × 101⁰ VP *United Kingdom[38]
Pollack et al.27 July and 14 November 20202020BNT162b2Pfizer/BioNTechRandomized, observer-blind, placebo-controlledmRNA-basedNo adjuvant(−60)–(−80)II/III218≤2130 μg/0.3 mlMultinational 1[39]
Baden et al.27 July and 23 October2020mRNA-1273ModernaRandomized, observer-blind, placebo-controlled mRNA-basedNo adjuvant−20III216–8928100 μg *United States[40]
Voysey et al.23 April and 4 November 20202021AZD1222Oxford/AstraZenecaRandomized, single-blind, placebo-controlledAdenovirus-basedNo adjuvant2–8III218–95285 × 101⁰ VP *Brazil[38]
Logunov et al.7 September and 24 November 20202021Sputnik VGamaleyaRandomized, double-blind, placebo controlledAdenovirus-basedNo adjuvant2–8III218≤211011 VP *Russia[41]
Sadoff et al.20 July 20202021Ad26.COV2.SJohnson & JohnsonRandomized, double-blind, placebo-controlledAdenoviral vectorNo adjuvantUNI/II218–55No5 × 1010Belgium, US[42]
Sadoff et al.20 July 20202021Ad26.COV2.SJohnson & JohnsonRandomized, double-blind, placebo-controlledAdenoviral vectorNo adjuvantUNI/II219–55No1 × 1011Belgium, US[42]
Sadoff et al.November 20202021Ad26.COV2.SJohnson & JohnsonRandomized, double-blind, placebo-controlledAdenoviral vectorNo adjuvantUNI/II265–83No5 × 1010Belgium, US[42]
Sadoff et al.November 20202021Ad26.COV2.SJohnson & JohnsonRandomized, double-blind, placebo-controlledAdenoviral vectorNo adjuvantUNI/II265–88No1 × 1011Belgium, US[42]

1 From 152 sites worldwide (United States, 130 sites; Argentina, 1; Brazil, 2; South Africa, 4; Germany, 6; and Turkey, 9). UN = unavailable. VP = virus particle; Pro-Subunit = protein subunit; VLP = virus-like particle; Alum = aluminium; Adv= adenovirus; CpG = cytosine-guanine oligodeoxynucleotide; AS03= squalene-based immunologic adjuvant; Algel-IMDG (an imidazoquinoline molecule chemisorbed on alum [Algel]); RCT = randomized control trial. * per 0.5 m. Studies with different reports for the vaccine phase, the vaccine dose, injection concentration, different case, and control group numbers are considered as a separate dataset. More detailed information is provided in Table S3.

3.2. Characteristics of Participants

A total of 58,889 cases that received the COVID-19 vaccine and 46,638 controls who received placebo were included in this study. Out of 58,889 vaccine cases, 31,070 were male and 27,819 female. Out of 46,638 individuals in the placebo group, 33,354 were male and 13,284 female. All vaccines and placebos were intramuscularly (IM) injected. Detailed information of age ranges of either vaccine or placebo groups is shown in Table 1.

3.3. Efficacy of Different COVID-19 Vaccines

3.3.1. Efficacy of mRNA-Based COVID-19 Vaccines

The mRNA-based COVID-19 vaccines had 94.6% (95% CI 0.936–0.954) efficacy in a total of 34,041 cases in phase II/III RCTs (Table 2). Figure 2 shows the efficacy of COVID-19 vaccines after the first and second doses. Efficacy four weeks after first dose was reported for only one antibody (NAb 70.2% (95% CI 0.655–0.746)). Efficacy after a second dose of mRNA-based COVID-19 vaccines was reported for RBD, S-protein, and NAbs, with the highest efficacy for NAbs at 99.5% (95% CI 0.980–0.999) (Table 3).
Table 2

Efficacy of adenovirus-based and mRNA-based COVID-19 vaccines.

Vaccine TypeRCT PhaseNumber StudiesEfficacy (%)95% CI (%)Included Case NHeterogeneity Test, p-Value
Lower LimitUpper Limit
Adenovirus-based2/3480.20.5640.92720771<0.001
mRNA-based2/3294.60.9360.95434041<0.001

RCT = randomized control trial.

Figure 2

Efficacy of different COVID-19 vaccines (a) after the first and (b) second doses.

Table 3

Efficacy of different COVID-19 vaccines after the first and second doses.

VaccinePlacebo
ShotAntigen/AntibodyAfter Injection (Week)Vaccine Type Studies NEfficacy Lower LimitUpper LimitI-SquaredStudies NEfficacy Lower LimitUpper LimitI-Squared
After 1st dose RBD2Adenovirus-based40.6030.4710.72273.820.0040.0010.0270
Inactivated40.8700.7340.98393.840.0240.0080.0720
3Adenovirus-based20.9760.9390.9970.0NANANANANA
VLP80.2380.0910.37584.3NANANANANA
4Adenovirus-based20.9660.9420.9800.020.0040.0010.0270
Inactivated40.9130.5640.95890.740.0610.0330.1100
Pro-Subunit60.6280.5900.6650.0NANANANANA
S-protein2Inactivated20.2930.1820.4370.020.0830.0320.2020
3Pro-Subunit40.7900.4740.87491.040.0210.0050.0790
4Inactivated20.3960.2690.5390.020.0210.0030.1340
Pro-Subunit40.8730.6710.89291.940.0210.0050.0790
NAb2Inactivated40.5830.2100.86895.040.0300.0130.0700
3Pro-Subunit40.5510.2910.78685.040.0210.0050.0790
4Adenovirus-based20.5470.4960.59676.820.0080.0020.0310
Inactivated40.6910.5370.81295.040.0250.0080.0740
mRNA-based40.7020.6550.74673.940.0100.0040.0260
After 2nd dose RBD2Inactivated90.9290.8760.96061.890.1710.0770.33685
mRNA-based50.7310.5320.86686.0NANANANANA
3Adenovirus-based30.9820.9800.9840.010.1490.1390.1590
VLP90.7870.5810.90878.1NANANANANA
4Inactivated40.9440.8420.98215.940.0630.0260.1430
Pro-Subunit60.9560.9370.9700.0NANANANANA
S-protein2Inactivated70.9410.8770.97361.470.2900.1390.50787
Pro-Subunit180.8520.7190.92862.4180.0280.0140.0520
mRNA-based50.7860.7250.8360.0NANANANANA
4Inactivated40.9340.8420.97415.940.0630.0260.1430
Pro-Subunit140.7920.6790.87350.7150.0310.0150.0610
NAbs2Adenovirus-based10.9990.9851.0000.0NANANANANA
Inactivated90.8450.7240.91986.590.1510.0680.30385
Pro-Subunit230.7530.6670.82368.2190.0280.0150.0520
mRNA-based90.8700.7470.93882.440.0080.0030.0240
3Adenovirus-based10.9580.9550.9610.010.0710.0650.0790
4Adenovirus-based10.9990.9851.0000.0NANANANANA
Inactivated40.7000.3750.90186.140.0330.0110.0990
Pro-Subunit170.7590.5740.88162.9150.0310.0150.0610
mRNA-based40.9950.9800.9990.040.0160.0070.0350

S-protein = spike protein, Alum = aluminium, CpG = cytosine-guanine oligodeoxynucleotide, AS03 = squalene-based immunologic adjuvant, RBD = receptor-binding domain, NAb = neutralizing antibody, Pro-Subunit = protein subunit, NA = not available.

3.3.2. Efficacy of Adenovirus-Vectored COVID-19 Vaccines

The pooling of four RCTs (in phases II/III) results (a total of 20,771 cases included) showed adenovirus-vectored COVID-19 vaccines had 80.2% (95% CI 0.56–0.93) efficacy (Table 2). After the first dose, the efficacy of the adenovirus-vectored COVID-19 vaccine was the highest at 97.6% (95% CI 0.939–0.997) against RBD three weeks after injection. Whereas, adenovirus-vectored COVID-19 vaccine had the highest efficacy by producing NAbs 99.9% (95% CI 0.985–1.000) after 4 and 2 weeks of the second injection (Table 3).

3.3.3. Efficacy of Inactivated COVID-19 Vaccines

After the first vaccine dose, the inactivated COVID-19 vaccine’s efficacy was the highest against RBD at 91.3% (95% CI 00.564–0.96) four weeks after injection. Whereas, the highest efficacy against S-protein was 94% (95% CI 0.941 0.877–0.973) two weeks after the second injection (Table 3).

3.3.4. Efficacy of Pro-Subunit COVID-19 Vaccines

Pro-subunit vaccine efficacy was the highest against RBD at 87.3% (95% CI 0.671–0.892) four weeks after the first dose. Similarly, it had the highest efficacy against RBD protein at 95.6% (95% CI 0.937–0.970) four weeks after the second dose (Table 3).

3.3.5. Efficacy of VLP COVID-19 Vaccines

Efficacy of VLP vaccines was reported only against RBD three weeks after the first dose at 23.8% (95% CI 0.091–0.375) and three weeks after the second dose at 78.7% (95% CI 0.581–0.908) (Table 3).

3.4. Side Effects of Different COVID-19 Vaccines

Adjusted pooled odds ratio (OR) between vaccine and placebo groups were assessed for estimating the association of side effects by the administration of different COVID-19 vaccines. mRNA-based vaccines had the highest number of associated side effects, except for diarrhea and arthralgia, for which the adenovirus-vectored vaccine had the highest OR (Figure 3).
Figure 3

Local and systemic side effects of different COVID-19 vaccines.

The administration of mRNA-based vaccine was associated with a greater number of side effects, such as injection site pain, fever, redness, swelling, induration, pruritus, chills, myalgia, arthralgia, vomiting, fatigue, and headache, by yielding a summary OR of 83.06 (95% CI 37.05–186.1) (in phase II/III RCTs), 36.90 (95% CI 12.34–105.21) (in phase I/II/III RCTs), 24.40 (95% CI 18.73–31.77) (in phase I/II/III RCTs), 18.79 (95% CI 4.87–72.40) (in phase I/II/III RCTs), 17.5 (95% CI 1.96–155.58) (in phase I/II RCTs), 17.50 (95% CI 1.98–155.58) (in phase II/III RCTs), 13.11 (95% CI 7.19–23.89) (in phase II/III RCTs), 10.71 (95% CI 6.51–17.60) (in phase I/II RCTs), 9.67 (95% CI 1.27–76.90) (in phase III/II RCTs), 8.71 (95% CI 4.38–17.34) (in phase I/II RCTs), 6.16 (95% CI 5.86–6.48) (in phase III RCTs), and 5.13 (95% CI 2.32–11.31) (in phase I/II RCTs), respectively, compared to other types of vaccines. Nevertheless, the adenovirus-vectored vaccine was associated with higher rates of diarrhea with OR of 4.59 (95% CI 3.58–5.89), and arthralgia OR of 10.61 (95% CI 7.60–14.83) compared to others (Table 4). It should be considered that heterogeneity (I-squared test) of the pooled meta-analysis for most of the side effects was low (I2 < 50%), which indicates that variation in study outcomes between the included studies was low, even though different companies and different research groups across the world have been included. More detailed information such as Forest plot, Funnel plot, heterogeneity test, and sub-group analysis of each side effects are shown in Figures S1–S21 (in the Supplementary Materials).
Table 4

Association of side effects with different COVID-19 vaccines.

Side Effect Vaccine Type PhaseOdds Ratio (95% CI)Included StudyHeterogeneity Test, I-Squared
Site painmRNA-based2/383.06 (37.05–186.1)581.33
1/228.26 (16.18–49.35)170
Adenovirus-based2/313.64 (8.39–22.17)20
1/23.2 (2.7–4)20
Inactivated 2/31.73 (0.667–4.5)646.64
1/23.19 (1.3–7.6)1052.14
Pro-Subunit2/32.14 (1.01–4.5)448.55
1/22.29 (0.48–10.8)229.93
Swelling Adenovirus-based1/2/31.21 (0.77–1.89)20
Inactivated 1/2/30.402 (0.056–2.90)20
Pro-Subunit1/2/36.48 (3.09–13.67)50
mRNA-based1/2/318.79 (4.87–72.40)359.08
RednessAdenovirus-based1/2/31.35 (0.815–2.25)40
Pro-Subunit1/2/37.29 (3.70–14.38)60
mRNA-based1/2/324.40 (18.73–31.77)10
ItchAdenovirus-based1/23.10 (1.96–4.89)10
Inactivated 1/20.32 (0.02–5.3)10
Pro-Subunit1/225.44 (7.85–82.40)60
CoughAdenovirus-based1/2/31.76 (1.20–2.58)30
FeverAdenovirus-based1/2/31.73 (0.57–5.66)390.5
Inactivated 1/2/30.27 (0.09–0.76)50
Pro-Subunit1/2/31.17 (0.73–1.86)40
mRNA-based1/2/336.90 (12.34–105.21)343.31
HeadachemRNA-based34.63 (4.4–4.86)10
22.32 (1.28–4.19)469.20
1/25.13 (2.32–11.31)563.02
Adenovirus-based22.54 (1.65–3.91)20
1/23.01 (2.35–3.87)10
30.58 (0.49–0.68)10
Inactivated 20.18 (0.02–1.14)20
Pro-Subunit21.25 (0.33–4.7)20
1/21.99 (1.21–3.26)140
FatigueAdenovirus-based1/22.72 (2.2–3.37)30
Inactivated 1/20.39 (0.18–0.82)70
Pro-Subunit1/22.7 (1.01–7.16)437.2
mRNA-based1/25.0 (3.42–7.33)2448.23
2–34.87 (4.65–5.09)10
36.16 (5.86–6.48)10
IndurationAdenovirus-based1/20.16 (0.05–0.49)246.44
Inactivated 1/20.18 (0.06–0.58)40
Pro-Subunit1/22.62 (1.23–5.58)20
mRNA-based1/217.5 (1.96–155.58)10
VomitingAdenovirus-based1/22.75 (1.99–3.82)30
Inactivated 1/20.32 (0.02–5.38)10
mRNA-based1/28.71 (4.38–17.34)80
2–34.87 (4.65–5.09)10
36.16 (5.86–6.48)10
DiarrheaAdenovirus-based1/22.51 (1.12–5.63)20
Inactivated 1/20.60 (0.13–2.83)30
mRNA-based1/20.54 (0.27–1.10)50
MyalgiaAdenovirus-based1/24.59 (3.58–5.89)30
Inactivated 1/21.43 (0.25–8.08)20
Pro-Subunit 2.92 (0.57–8.75)853.30
mRNA-based1/210.71 (6.51–17.60)1033.74
2/37.0 (6.57–7.47)10
31.43 (0.25–8.08)10
ArthralgiaAdenovirus-based2/34.06 (2.99–5.57)30
Pro-Subunit 2/31.34 (0.47–3.83)44.833
mRNA-based2/39.67 (1.27–76.90)367.97
ChillsAdenovirus-based2/310.61 (7.60–14.83)10
mRNA-based2/313.11 (7.19–23.89)83.82
PruritusAdenovirus-based2/30.54 (0.23–1.25)20
mRNA-based2/317.50 (1.98–155.58)10

Serious Adverse Side Effects of COVID-19 Vaccines

Only three studies reported anaphylactic shock as an adverse effect of COVID-19 vaccines—(1) 1 out of 84 vaccine cases for the inactivated vaccine [30]; (2) 1 case out of 2063 vaccinated for the adenovirus-based vaccine [38], (3) 1 case out of 15,181 in the vaccine group, and 1 case out of 15,170 in the placebo group, for the mRNA-based vaccine [40]. A total of 37 blot clots, including 22 pulmonary embolus cases (PE) and 5 deep vein thrombosis (DVT), have been reported for the Oxford-AstraZeneca vaccine among 17 million people in the EU and Britain [43]; see discussion for recent contributions. The number of clotting events is not greater than what is seen in the general population, with no indication that there is a causal effect.

3.5. Side Effects of COVID-19 Vaccines Based on Different Adjuvants

The sub-group analysis was assessed to estimate the potential side effects of COVID-19 vaccines based on the different types of administrated adjuvants. Interestingly, in all cases, potassium aluminum sulfate (alum) had the smallest number of systemic and local side effects compared to other adjuvants or vaccines without adjuvant, except injection site redness, of which vaccines without adjuvant had higher rates of site redness (Figure 4). Accordingly, vaccines with alum adjuvant had lower systemic side effects of fatigue OR 0.392 (95% 0.18–0.82), vomiting 0.325 (95% 0.02–5.30), fever 0.85 (95% 0.51–1.43), myalgia 1.43 (95% 0.25–8.0), diarrhea 0.608 (95% 0.13–2.87), and injection site pain 2.40 (95% 1.51–3.83) between different adjuvants and vaccines with no adjuvant (Table 5). The vaccine with no adjuvant was associated with higher redness OR 0.923 (95% 0.23–3.6). Itch OR 13.20 (95% 3.23–53.90) and swelling OR of 3.83 (95% 1.52–9.64) was only reported for vaccines with alum adjuvant. For more detailed information see Figures S22–S30.
Figure 4

Association of adjuvant side effects of different COVID-19 vaccines.

Table 5

Side effects of COVID-19 vaccines based on different adjuvant types.

Side Effect Adjuvant Type PhaseOdds Ratio (95% CI)Included StudyHeterogeneity Test, I-Squared
Systemic FatigueAlum2/30.392 (0.18–0.82)70
Matrix-M12/33.70 (1.36–10.02)324.81
No adjuvant2/34.43 (2.62–7.49)654.08
VomitingAlum2/30.325 (0.02–5.30)10
No adjuvant2/33.46 (1.45–8.26)70
FeverAlum2/30.85 (0.51–1.43)920.78
No adjuvant2/32.96 (1.22–7.17)268.19
MyalgiaAlum2/31.43 (0.25–8.0)20
AS03 2/314.331 (3.39–60.56)30
CpG/Alum2/32.42 (0.13–44.50)10
Matrix-M12/31.57 (0.26–9.4)367.96
No adjuvant2/39.66 (3.97–23.47)849.99
DiarrheaAlum2/30.608 (0.13–2.87)30
No adjuvant2/30.89 (0.40–1.97)650.47
LocalInjection site pain Alum2/32.40 (1.51–3.83)2244.55
No adjuvant2/325.61 (13.31–49.30)736.60
ItchAlum2/313.20 (3.23–53.90)740.58
SwellingAlum2/33.83 (1.52–9.64)737.52
RednessAlum2/37.29 (3.7–14.39)60
No adjuvant2/30.923 (0.23–3.6)20

Alum = aluminum, CpG = cytosine-guanine oligodeoxynucleotide, AS03 = squalene-based immunologic adjuvant.

4. Discussion

The purpose of vaccination is to protect individuals from infection and transmission. Although the emergency use authorization for some of the COVID-19 vaccines has been approved by the Food and Drug Administration in the US and the Department of Health and Human Services of each country, the vaccines’ efficacy and side effects have not yet been comprehensively discussed, although popular media and politicians have made many unsubstantiated claims. Therefore, in the current meta-analysis, we provide systematic and comprehensive data regarding the vaccines’ safety, efficacy, and immunogenicity against SARS-CoV-2. Here, we mainly focused on available RCTs publications on the safety, efficacy, and immunogenicity of COVID-19 vaccines. The present study was carefully surveyed for the general and specific target antigen efficacy of each vaccine group. Our analysis showed that variation in the efficacy of vaccines after the first doses are remarkable in comparison with the efficacies after the second doses. Therefore, enrollment of the second dose should produce a more reliable outcome and efficacy compared to a single dose. In total, mRNA-based COVID-19 vaccines had 94.6% efficacy. The RNA-based vaccine elicited high levels of NAbs after one month of the first (70%) and second (99.5%) doses. Unfortunately, data for the RNA-based vaccines against RBD antigen were not available after the first dose. Protection against variants has been shown with the mRNA-based vaccine against the United Kingdom (B.1.1.7, also called 20I/501Y.V1) variant [44,45], but they may be less effective against the variant first detected in South Africa (B.1.351, known as 20H/501Y.V2) [46]. A week after the second dose of mRNA-based vaccine, induction of neutralizing antibody titers in the serum sample was 6-fold lower for participants bearing B.1.351 variant compared to original Wuhan-Hu-1 spike protein [47]. The B.1.351 variant carries two substitutions within the S-protein, which can escape three classes of therapeutically relevant antibodies. These data indicate reinfection with antigenically distinct variants and mitigates the full efficacy of spike-based COVID-19 vaccines [48]. From our summary analysis, the total efficacy of the adenovirus-vectored COVID-19 vaccines was 80.2%. The highest efficacy after a single dose is reported with the adenovirus-vectored COVID-19 vaccines, with very low variation and CI against RBD at 3 weeks (96.7%) and 4 weeks (96.6%) after vaccination compared to placebo controls. Some of the adenovirus-vectored COVID-19 vaccines, such as Johnson & Johnson, need just one dose, with the efficacy against RBD being a possible reason. However, based on the rollout timeline, long-term (more than four weeks) efficacy of adenovirus-vectored COVID-19 vaccines was not reported by any of the RCTs. For the other vaccine types, total efficacy has not been reported, only the antigen-specific efficacy was reported in these RCTs. The pro-subunit vaccine had the highest efficacy against spike antigen at 1 month after the first injection. The efficacy of the VLP vaccines was lower than other COVID-19 vaccines and reported only against RBD after the first (23.8%) and second dose (78.7%). All reports for VLP vaccines are from RCT phase I trials, and the lower efficacy of these vaccines may be the most probable reason. Any vaccine is expected to cause temporary side effects caused by activation of an immune response and injection site tissue trauma. Uptake of vaccines is related to perceived and real adverse side effects, both short-term and long-term. In this study, adjusted pooled odds ratios between vaccine and placebo groups indicated that RNA-based vaccines had higher rates of side effects in reactogenicity, including site pain, swelling, redness, fever, headache, fatigue, induration, vomiting, myalgia, chills, and pruritus (Table 2). No sign of cough or itch was found in RNA-based vaccines, and lower rates of diarrhea and arthralgia were observed for this vaccine. By avoiding negativity bias, this might provide strong evidence of RNA-based vaccines’ effectiveness, by eliciting a more robust immune response than other vaccine groups. Additionally, the rate of serious adverse side effects such as anaphylactic shock, an allergic reaction, was not remarkable with this vaccine, with only one case reported in both the vaccine and placebo groups [40]. In the context of side effects, the adenovirus-vectored vaccines are associated with increased diarrhea and arthralgia in comparison with other vaccines, see Table 2. A recent systematic review and meta-analysis by Yuan et al. [49] showed no significant difference in systemic reactions, with only local side effects, including pain, itching, and redness, being reported [49]. One case of anaphylactic shock was reported for this vaccine [38]. Several pulmonary emboli (PE) and deep vein thrombosis (DVT) cases have been reported as rare events for the Oxford-AstraZeneca vaccine, causing a temporary suspension of this vaccine’s use in many countries and age-specific rollout in others. However, to date, the data are too weak and anecdotal to provide clear evidence of cause and effect [50]. Similarly, the Johnson & Johnson vaccine was also temporarily suspended in April 2021 by the FDA, as several people developed rare blood-related problems of thrombosis with thrombocytopenia syndrome leading to cerebral venous sinus thrombosis (CVST) [51]. A DVT has also been reported shortly after the second dose of an mRNA-based vaccine as well [52]. Anaphylaxis as an acute allergic reaction has also been reported as a rare event for some vaccines, such as mRNA COVID-19 vaccines [53] and adenovector vaccines against COVID-19 [54]. Overall, these severe life-threatening adverse events are occurring rarely, thus supporting the ongoing rollout of global vaccination programs. Data are currently emerging on Vaccine-induced Immune Thrombotic Thrombocytopenia (VITT) following vaccination with COVID-19 vaccines [55]. VITT presents with symptoms of thromboembolism and especially signs of thrombocytopenia, cerebral blood clots, or abdominal or arterial clots, such as easy bruising, bleeding or new and/or severe headaches, and pain in the abdomen or a painful, cold numb extremity, particularly with onset 4 to 28 days after immunization. This is due to thrombosis (blood clots) involving the cerebral venous sinuses, or CVST (large blood vessels in the brain), and other sites in the body (including but not limited to the large blood vessels of the abdomen and the veins of the legs) along with thrombocytopenia, or low blood platelet counts. These events are rare, but to date have been documented for the mRNA vaccines BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) and the adenoviral vector vaccines ChAdOx1 nCoV-19 vaccine (Astra Zeneca) and Ad26. COV2-S vaccine (Janssen; Johnson & Johnson). Given the very recent emergence, our meta study does not include an analysis of VITT. Co-administration of vaccine with adjuvants is being used in VLP subunit vaccines and certain inactivated vaccines [55]. Adjuvants have an essential role owning to inducing specific immune responses, IgG1, and NAbs titers. It also considers potential dose-sparing of CoV vaccine [56]. Multiple adjuvants, such as alum salts, emulsions, and TLR agonists have been formulated for SARS-CoV, SARS-CoV-2, and MERS-CoV [55]. The potential side effects of COVID-19 vaccines based on the different types of adjuvants investigated showed that alum-adjuvanted CoV vaccines had the lowest systemic side effects among other adjuvants or non-adjuvant in Table 3. The non-adjuvanted vaccines revealed immunopathologic reactions including high fatigue, vomiting, fever, myalgia, and diarrhea and redness, while alum-adjuvanted CoV vaccines showed itch and swelling. Overall, the metadata obtained in this study demonstrated that the alum-adjuvanted CoV vaccines had the smallest number of issues compared with other adjuvants and the non-adjuvant formulations. The limitations of this study are: 1. The overall effectiveness and antigen-specific efficacy of some vaccines have not been reported after the first or second dose. 2. Some trials had considerable bias by not including a sufficient number of samples or a broad enough geographical, economic, and age diversity. 3. Timing of vaccine trials in relation to overall prevalence through the COVID-19 pandemic impacts direct comparison. 4. The IgG and IgM antibodies in serum levels had a wide range of variation across the different vaccines after the first or second dose, thus, these data were not included in the meta-analysis. 5. The lack of data on specific categories of patients such as pregnant patients and lifestyles. 6. All RCTs followed up the vaccine and placebo groups one month after both first and second doses, therefore, all reports are related to short-term impacts of the vaccine. 7. For the prevention of database bias, we searched various databases and websites for finding all relevant and gray publications and a proper test for publication bias using Egger’s regression test conducted. We did not find remarkable publication bias in this study by Egger’s regression test. However, publication bias and heterogeneity for some of the pooled results, as well as all the above limitations, must be considered when interpreting the outcomes.

5. Conclusions

The adenovirus-vectored and mRNA-based vaccines for COVID-19 showed the highest efficacy after first and second doses, respectively. The mRNA-based vaccines had higher side effects. Only a rare few recipients have experienced extreme adverse effects and all stimulated robust immune responses. All RCTs followed up the vaccine and placebo groups after one month after both first and second doses, therefore, all reports are related to short-term impacts. Due to the timeline, all the vaccines are missing longer-term assessments. This meta-analysis allows us to incorporate relevant new evidence for summarizing and analyzing the clinical features of current vaccines for COVID-19 in phase I, II, and III RCTs. The results support the overall efficacy and safety of all available COVID-19 vaccines, providing clear data-driven evidence to support the ongoing global public health effort to vaccinate the entire population.
  48 in total

Review 1.  Virus-like particles in vaccine development.

Authors:  António Roldão; Maria Candida M Mellado; Leda R Castilho; Manuel J T Carrondo; Paula M Alves
Journal:  Expert Rev Vaccines       Date:  2010-10       Impact factor: 5.217

2.  Comparison of two methods to detect publication bias in meta-analysis.

Authors:  Jaime L Peters; Alex J Sutton; David R Jones; Keith R Abrams; Lesley Rushton
Journal:  JAMA       Date:  2006-02-08       Impact factor: 56.272

3.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01

4.  COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.

Authors:  Edison Ong; Mei U Wong; Anthony Huffman; Yongqun He
Journal:  Front Immunol       Date:  2020-07-03       Impact factor: 7.561

5.  Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomised controlled trial.

Authors:  Pedro M Folegatti; Katie J Ewer; Parvinder K Aley; Brian Angus; Stephan Becker; Sandra Belij-Rammerstorfer; Duncan Bellamy; Sagida Bibi; Mustapha Bittaye; Elizabeth A Clutterbuck; Christina Dold; Saul N Faust; Adam Finn; Amy L Flaxman; Bassam Hallis; Paul Heath; Daniel Jenkin; Rajeka Lazarus; Rebecca Makinson; Angela M Minassian; Katrina M Pollock; Maheshi Ramasamy; Hannah Robinson; Matthew Snape; Richard Tarrant; Merryn Voysey; Catherine Green; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-07-20       Impact factor: 79.321

6.  Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

Authors:  Merryn Voysey; Sue Ann Costa Clemens; Shabir A Madhi; Lily Y Weckx; Pedro M Folegatti; Parvinder K Aley; Brian Angus; Vicky L Baillie; Shaun L Barnabas; Qasim E Bhorat; Sagida Bibi; Carmen Briner; Paola Cicconi; Andrea M Collins; Rachel Colin-Jones; Clare L Cutland; Thomas C Darton; Keertan Dheda; Christopher J A Duncan; Katherine R W Emary; Katie J Ewer; Lee Fairlie; Saul N Faust; Shuo Feng; Daniela M Ferreira; Adam Finn; Anna L Goodman; Catherine M Green; Christopher A Green; Paul T Heath; Catherine Hill; Helen Hill; Ian Hirsch; Susanne H C Hodgson; Alane Izu; Susan Jackson; Daniel Jenkin; Carina C D Joe; Simon Kerridge; Anthonet Koen; Gaurav Kwatra; Rajeka Lazarus; Alison M Lawrie; Alice Lelliott; Vincenzo Libri; Patrick J Lillie; Raburn Mallory; Ana V A Mendes; Eveline P Milan; Angela M Minassian; Alastair McGregor; Hazel Morrison; Yama F Mujadidi; Anusha Nana; Peter J O'Reilly; Sherman D Padayachee; Ana Pittella; Emma Plested; Katrina M Pollock; Maheshi N Ramasamy; Sarah Rhead; Alexandre V Schwarzbold; Nisha Singh; Andrew Smith; Rinn Song; Matthew D Snape; Eduardo Sprinz; Rebecca K Sutherland; Richard Tarrant; Emma C Thomson; M Estée Török; Mark Toshner; David P J Turner; Johan Vekemans; Tonya L Villafana; Marion E E Watson; Christopher J Williams; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-12-08       Impact factor: 79.321

7.  Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine.

Authors:  Lindsey R Baden; Hana M El Sahly; Brandon Essink; Karen Kotloff; Sharon Frey; Rick Novak; David Diemert; Stephen A Spector; Nadine Rouphael; C Buddy Creech; John McGettigan; Shishir Khetan; Nathan Segall; Joel Solis; Adam Brosz; Carlos Fierro; Howard Schwartz; Kathleen Neuzil; Larry Corey; Peter Gilbert; Holly Janes; Dean Follmann; Mary Marovich; John Mascola; Laura Polakowski; Julie Ledgerwood; Barney S Graham; Hamilton Bennett; Rolando Pajon; Conor Knightly; Brett Leav; Weiping Deng; Honghong Zhou; Shu Han; Melanie Ivarsson; Jacqueline Miller; Tal Zaks
Journal:  N Engl J Med       Date:  2020-12-30       Impact factor: 91.245

8.  Phase I/II study of COVID-19 RNA vaccine BNT162b1 in adults.

Authors:  Mark J Mulligan; Kirsten E Lyke; Nicholas Kitchin; Judith Absalon; Alejandra Gurtman; Stephen Lockhart; Kathleen Neuzil; Vanessa Raabe; Ruth Bailey; Kena A Swanson; Ping Li; Kenneth Koury; Warren Kalina; David Cooper; Camila Fontes-Garfias; Pei-Yong Shi; Özlem Türeci; Kristin R Tompkins; Edward E Walsh; Robert Frenck; Ann R Falsey; Philip R Dormitzer; William C Gruber; Uğur Şahin; Kathrin U Jansen
Journal:  Nature       Date:  2020-08-12       Impact factor: 69.504

Review 9.  Coronavirus biology and replication: implications for SARS-CoV-2.

Authors:  Philip V'kovski; Annika Kratzel; Silvio Steiner; Hanspeter Stalder; Volker Thiel
Journal:  Nat Rev Microbiol       Date:  2020-10-28       Impact factor: 60.633

10.  Deep vein thrombosis (DVT) occurring shortly after the second dose of mRNA SARS-CoV-2 vaccine.

Authors:  Giuseppe Carli; Ilaria Nichele; Marco Ruggeri; Salvatore Barra; Alberto Tosetto
Journal:  Intern Emerg Med       Date:  2021-03-09       Impact factor: 3.397

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  70 in total

1.  Safety of COVID-19 vaccines in patients with non-communicable diseases: a protocol for systematic review and meta-analysis of randomised controlled trials.

Authors:  Chengqian Shi; Mizhi Wu; Xinchang Wang; Kepeng Yang
Journal:  BMJ Open       Date:  2022-05-24       Impact factor: 3.006

2.  SARS-CoV-2 vaccination, ABO blood group and risk of COVID-19: population-based cohort study.

Authors:  Joel G Ray; Alison L Park
Journal:  BMJ Open       Date:  2022-07-18       Impact factor: 3.006

3.  COVID-19 vaccination policies and the new challenges of international travel.

Authors:  Céleo Ramírez; Joon Nak Choi; Reyna M Durón
Journal:  Clin Exp Vaccine Res       Date:  2022-05-31

Review 4.  Addressing COVID-19 vaccine hesitancy.

Authors:  George Kassianos; Joan Puig-Barberà; Hannah Dinse; Martin Teufel; Özlem Türeci; Shanti Pather
Journal:  Drugs Context       Date:  2022-06-20

5.  COVID-19 Telemedicine and Vaccination at an Urban Safety Net HIV Medicine Clinic.

Authors:  Ryan Anson; Aaron Willcott; Will Toperoff; Afsana Karim; Michael Tang; Darcy Wooten; J Tyler Lonergan; Laura Bamford
Journal:  J Nurse Pract       Date:  2022-07-12       Impact factor: 0.826

6.  Immunogenicity and Reactogenicity of the Booster Dose of COVID-19 Vaccines and Related Factors: A Panel Study from the General Population in Serbia.

Authors:  Maja Stosic; Marija Milic; Milos Markovic; Ivana Kelic; Zoran Bukumiric; Marko Veljkovic; Darija Kisic Tepavcevic; Vladan Saponjic; Dragana Plavsa; Sofija Jovanovic; Verica Jovanovic
Journal:  Vaccines (Basel)       Date:  2022-05-25

Review 7.  Comprehensive narrative review of real-world COVID-19 vaccines: viewpoints and opportunities.

Authors:  Shelan Liu; Min Kang; Na Zhao; Yali Zhuang; Shijian Li; Tie Song
Journal:  Med Rev (Berl)       Date:  2022-05-25

Review 8.  A systematic review on mucocutaneous presentations after COVID-19 vaccination and expert recommendations about vaccination of important immune-mediated dermatologic disorders.

Authors:  Farnoosh Seirafianpour; Homa Pourriyahi; Milad Gholizadeh Mesgarha; Arash Pour Mohammad; Zoha Shaka; Azadeh Goodarzi
Journal:  Dermatol Ther       Date:  2022-04-11       Impact factor: 3.858

9.  Interim Estimates of COVID-19 Vaccine Effectiveness in a Mass Vaccination Setting: Data from an Italian Province.

Authors:  Maria Elena Flacco; Graziella Soldato; Cecilia Acuti Martellucci; Roberto Carota; Rossano Di Luzio; Antonio Caponetti; Lamberto Manzoli
Journal:  Vaccines (Basel)       Date:  2021-06-10

10.  Vaccines to prevent COVID-19: A living systematic review with Trial Sequential Analysis and network meta-analysis of randomized clinical trials.

Authors:  Steven Kwasi Korang; Elena von Rohden; Areti Angeliki Veroniki; Giok Ong; Owen Ngalamika; Faiza Siddiqui; Sophie Juul; Emil Eik Nielsen; Joshua Buron Feinberg; Johanne Juul Petersen; Christian Legart; Afoke Kokogho; Mathias Maagaard; Sarah Klingenberg; Lehana Thabane; Ariel Bardach; Agustín Ciapponi; Allan Randrup Thomsen; Janus C Jakobsen; Christian Gluud
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

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