Literature DB >> 35176960

Assessing the reporting quality of randomized controlled trials on COVID-19 vaccines: a systematic review.

Guanran Zhang1, Sirui Kuang2, Xiaoli Zhang1.   

Abstract

This systematic review evaluated the reporting quality of COVID-19 vaccine randomized controlled trials (RCTs). Relevant RCTs published between July 20, 2020 and June 11, 2021 were identified in the PubMed database by two independent reviewers. Study quality was evaluated with the 2010 AND 2001 Consolidated Standards of Reporting Trials (CONSORT) adherence scores. A total of 22 RCTs were included. The median CONSORT adherence score according to the 2010 criteria was 21 (range, 12-25), thus indicating that 75% of the items in more than half of the RCTs had clear reports. Univariate analysis showed that CONSORT adherence scores were not predicted by category; analysis of variance also showed no significant difference between groups. Our results indicated that the overall quality of COVID-19 vaccine RCTs was very good. Current evidence indicates that a variety of COVID-19 vaccines are effective. No RCTs have reported serious adverse effects such as mortality.

Entities:  

Keywords:  CONSORT statement; COVID-19 vaccine; randomized controlled trials; reporting quality; review

Mesh:

Substances:

Year:  2022        PMID: 35176960      PMCID: PMC8993078          DOI: 10.1080/21645515.2022.2031453

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN: 2164-5515            Impact factor:   3.452


Introduction

Evidence-based medicine is fundamentally dependent on the quality of available clinical evidence. The results of randomized controlled trials (RCTs) provide the highest level of primary evidence, and the use of large sample sizes improves the power of statistical tests and reduces the risk of bias. Due to the lack of targeted drugs for COVID-19, many countries began to concurrently develop COVID-19 vaccines in the early stages of the pandemic.[1] Vaccination is considered to be the most effective measure for preventing the further spread of COVID-19.[2] Vaccines stimulate the body’s immune system to produce antibodies against a specific virus, thus reducing the probability of future infection. Vaccinations prevent 2–3 million deaths from infections annually.[3] The effectiveness and breadth of COVID-19 vaccination will be the main determinant of how long the pandemic will last.[4] The first approved COVID-19 vaccine was produced by Pfizer-BioNTech and has been widely administered in the UK. The need for the rapid development of vaccines to combat the COVID-19 pandemic has necessitated the introduction of temporary regulations to expedite the authorization of their use in humans.[5] As a result, the risk of side effects (e.g., serious disease, mortality) have only been based on experimental research results from the first three stages of vaccine development; epidemiological research results typically available in the fourth stage are currently lacking.[6] By April 2020, approximately 100 different COVID-19 vaccines had been developed by research and development departments in different countries all over the world, with some having proceeded to the human trial stage.[7] If sufficient protection can be obtained after the first vaccine dose, the second dose can be delayed; this would ensure that a greater number of people in regions with limited access to vaccines can receive the first dose.[8] Recently, an increasing number of RCTs have investigated the effectiveness of COVID-19 vaccines by comparing infection rates between vaccinated (experimental group) and unvaccinated (control group) individuals.[9] The purpose of this systematic review was to evaluate the quality of these RCTs and to summarize the effectiveness and adverse effects of currently available COVID-19 vaccines. The overarching aim was to provide a frame of reference to facilitate vaccination selection.

Materials and methods

Search strategy

This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines that are in the supplemental materials. Relevant articles were identified by using the search terms “vaccines” and “COVID 19” in the PubMed database. The authors of the present review were not involved in the conduct of any previous RCTs pertaining to this topic.

Scope of the literature search

A comprehensive search was conducted in PubMed using the following search terms: (“COVID 19 vaccines”[MeSH Terms] OR (“COVID 19”[All Fields] AND ”vaccines”[All Fields]) OR “COVID 19 vaccines”[All Fields] OR (“COVID19”[All Fields] AND “vaccine”[All Fields]) OR “COVID19 vaccine”[All Fields]) AND (randomized controlled trial [Filter]). Only studies published in English were included. All identified RCTs pertaining to COVID-19 vaccines were published between July 20, 2020 and June 11, 2021 (Figure 1).
Figure 1.

A flowchart of the screening process for randomized controlled trials (RCT) articles of the COVID-19 vaccine.

A flowchart of the screening process for randomized controlled trials (RCT) articles of the COVID-19 vaccine.

Reporting quality assessment

All extracted data were independently compiled by two reviewers. The reporting quality of each study was evaluated using the 19-item 2001 Consolidated Standards of Reporting Trials (CONSORT) statement (Supplemental Table S1) and the 28-item 2010 CONSORT standardized evaluation checklist (Table 1). The overall report quality score was referred to as the CONSORT adherence score.
Table 1.

Overall quality of reporting: rating using items based on the 2010 CONSORT statement (n = 22)

ItemCriteriaDescriptionNo. of positive trials%Cohen’s k coefficient
1TitleIdentification as a randomized trial in the title13590.91
2Abstract structureStructured summary of trial design, methods, results and conclusions21951
3BackgroundAdequate description of the scientific background and explanation of rational22100NA*
4ObjectivesDescription of the specific objectives or the scientific hypotheses in the introduction21950.89
5Trial designDescription of trial design, including allocation ratio20910.81
6ParticipantsDescription of the eligibility criteria for participants20910.83
7Settings and locationDescription of the settings and locations where the data were collected10451
8InterventionsDetails of the interventions intended for each group20911
9OutcomesDefinition of primary and secondary outcome measures, including how and when they were assessed18820.94
10Sample sizeDescription of sample size calculation15680.92
11Randomization, sequence generationDefinition of the method used to generate the random allocation sequence15680.95
12Randomization, restrictionDescription of the type of randomization details of any restriction12550.79
13Allocation concealmentDescription of the mechanism used to implement the random allocation sequence to assure concealment until interventions were assigned18821
14ImplementationDescription of who generated the random allocation sequence, who enrolled participants, and who assigned participants to interventions9410.85
15BlindingWhether or not participants, those administering the interventions, or those assessing the outcomes were blinded to group assignment; if relevant, description of the similarity of interventions18820.88
16Statistical methodsDescription of the statistical methods used to compare groups for primary and secondary outcomes18820.98
17Ancillary analysis, methodDescription of the methods for additional analyses, such as subgroup analyses and adjusted analyses5230.83
18DiagramA CONSORT diagram was presented to show the flow of participants19860.86
19Participant flowDetails on the flow of participants through each stage of the trials (number of patients randomly assigned, receiving intended treatment, and were analyzed for the primary outcome)13590.96
20RecruitmentDates defining the periods of recruitment and follow-up15681
21Baseline dataA table showing baseline demographic and clinical characteristics for each group22100NA*
22Intent-to-treat analysisNumber of patients in each group included in each analysis and whether patients were analyzed according to the group to which they were randomly assigned4180.77
23Outcomes measuresFor each primary and secondary outcome, a summary of results for each group, the estimated effect size and its precision (eg, 95% CI) are provided12550.87
24Ancillary analysesResults of subgroup analyses and adjusted analyses, distinguishing prespecified from exploratory7321
25Adverse event classificationDescription of all important adverse events in each group, with classification20910.74
26RegistrationPresentation of the registration number and name of trial registry22100NA*
27ProtocolWhere the full trial protocol can be accessed20910.73
28FundingSources of funding and other support19860.86

Abbreviations: CI: confidence interval; CONSORT: Consolidated Standards of Reporting Trials; NA: not available.

* Cohen’s k indices could not be calculated because the positive rates awarded by the 2 investigators were both 100% for these items.

Overall quality of reporting: rating using items based on the 2010 CONSORT statement (n = 22) Abbreviations: CI: confidence interval; CONSORT: Consolidated Standards of Reporting Trials; NA: not available. * Cohen’s k indices could not be calculated because the positive rates awarded by the 2 investigators were both 100% for these items.

Research selection and data extraction

The inclusion criteria comprised the following: (a) evaluation of a COVID-19 vaccine using a randomized controlled design; (b) use of a COVID-19 vaccine in the experimental group; and (c) articles published in English. Studies were excluded if they did not report safety or effectiveness data, or were duplicate publications or secondary reports of previously published RCTs. If the results of a single RCT were reported in multiple publications, the one with the most complete data was selected. The difference between the level 1 screening (titles and abstracts), two reviewers were resolved through discussion.

Data collection

Two independent reviewers extracted the following data: first author name; year of publication; whether or not the term “RCT” was used in the study title; use of a structured or non-structured abstract; experimental design and allocation ratio to the intervention and control groups; specific content recorded in the article or protocol; study setting; place of the data collection; drug information; primary and secondary outcomes; measurement information; methods used for sample size calculation and randomization; allocation concealment; blinding method; whether or not an intent-to-treat (ITT) analysis and subgroup analysis were performed; flowchart; recruitment and follow-up time; results for vaccine efficacy; experimental registration number; and source of funding. Any discrepancies were resolved by consensus between the two reviewers.

Statistical analysis

The main purpose of this study was to assess the quality of RCTs that have evaluated COVID-19 effectiveness and safety. Using CONSORT criteria, we assigned 1 point for each criterion and calculated the total score of each item. SPSS Statistics 25 was used to analyze the collected data, and descriptive statistics were used to calculate the median and mean. The linear regression coefficient generated by the CONSORT adherence scores was used as the dependent variable to obtain the regression coefficient and P value. The difference between the groups and whether the classification could predict the dependent variable were evaluated.

Results

As shown in the flow chart in Figure 1, a total of 11053 articles were retrieved from PubMed. Title and abstract screening excluded 10999 non-RCTs. Full texts of the remaining 54 studies were evaluated according to our predefined inclusion and exclusion criteria. Thirty-two studies were excluded, as they were either secondary reports of previous RCTs (29 articles) or duplicate studies (3 articles). Thus, a total of 22 studies were included in our analysis (Table 2)[10-31] and their characteristics are summarized in Table 3; data are expressed as absolute counts and proportions.
Table 2.

The basic characteristics of clinical experiments

NO.AuthorYearScoreRegion in which trials were conductedJournalBlindingType of vaccineSample sizePhaseEndpoints
1Peter Richmond202121AustraliaLancettriple blindSCB-2019148phase 1Safety (adverse reactions) and immunogenicity
2Laurence Chu202124USVaccinetriple blindmRNA-1273600phase 2Safety (adverse reactions) and immunogenicity
3Kathryn E. Stephenson202120USAJAMAtriple blindAd26.COV2.S25phase 1immunogenicity
4Hong-Xing Pan202123ChinaChinese Medical Journaldouble blind or double-maskedKCONVAC560Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
5L.R. Baden202123USAThe new england journal of medicinetriple blindmRNA-127330420phase 3effectiveness of the vaccine
6V.Shinde202121South AfricaThe new england journal of medicinetriple blindNVX-CoV23734406phase 2Safety (adverse reactions) and effectiveness of the vaccine
7Katherine R W Emary202112UKLancetunblinded or open labelChAdOx1nCoV-19(AZD1222)520Phase 2 and phase 3effectiveness of the vaccine
8J.Sadoff202119Belgium and the United StatesThe new england journal of medicinedouble blind or double-maskedAd26.COV2.S810Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
9Pedro M Folegatti202024UKLancetdouble blind or double-maskedChAdOx1nCoV-191077Phase 1 and phase 2Safety (adverse reactions), immunogenicity and effectiveness of the vaccine
10Denis Y Logunov202124RussiaLancetdouble blind or double-maskedGam-COVID-Vac21 977phase 3Safety (adverse reactions), immunogenicity and effectiveness of the vaccine
11Yanjun Zhang202122China.Lancet Infect Disdouble blind or double-maskedCoronaVac744Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
12Mark J. Mulligan202015USANaturesingle blind or single-maskedBNT162b145Phase 1 and phase 2Not included
13Maheshi N Ramasamy202021UKThe Lancetsingle blind or single-maskedChAdOx1 nCoV-19560phase 2Safety (adverse reactions), immunogenicity and effectiveness of the vaccine
14Edward E. Walsh202016the United StatesThe new england journal of medicineunblinded or open labelBNT162b1195phase 1Safety (adverse reactions) and immunogenicity
15Shengli Xia202021ChinaJAMAdouble blind or double-maskedinactivated COVID-19 vaccine320Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
16Fernando P. Polack202020United States, Argentina, Brazil, South Africa, Germany and Turkey,The new england journal of medicineunblinded or open labelBNT162b243548Phase 2 and phase 3Safety (adverse reactions) and effectiveness of the vaccine
17Shengli Xia202022ChinaLancet Infect Distriple blindBBIBP-COV640Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
18C. Keech202017AustraliaThe new england journal of medicineunblinded or open labelNVX-CoV2373131Phase 1 and phase 2Safety (adverse reactions) and immunogenicity
19S.A. Madhi202118South AfricaThe new england journal of medicinedouble blind or double-maskedChAdOx1 nCoV-192026Phase 1 and phase 2effectiveness of the vaccine
20Jing Pu202116ChinaVaccinedouble blind or double-maskedinactivated SARS-CoV-2192phase 1Safety (adverse reactions) and immunogenicity
21Feng-Cai Zhu202025ChinaThe Lancettriple blindAd5-vectored COVID-19508phase 2Safety (adverse reactions) and immunogenicity
22Raches Ella202124IndiaLancet Infect Distriple blindBBV152375phase 1Safety (adverse reactions) and immunogenicity
Table 3.

Trial characteristics

CharacteristicNo. of studies (n = 22)%
Year of publication  
 2020941
 20211359
Region in which trials were conducted  
 Asia732
 Europe and North America1045
 Others523
Journal  
 The new england journal of medicine732
 The Lancet627
 Journal of the American Medical Association29
 Lancet Infectious Diseases314
 Vaccine29
 Nature15
 Chinese Medical Journal15
Journal impact factor  
 <30627
 30–80941
 >80732
Sample size  
 Median(range)560(25–43548) 
 <500836
 500–1000836
 >1000627
Sources of trial funding  
 Government/foundation1150
 Completely funded by industry418
 Partially funded by industry732
Type of vaccine  
 inactivated vaccine627
 Nucleic acid vaccine (DNA, mRNA)732
 Adenovirus vector vaccine836
 Protein subunit vaccine15
Phase  
 11443
 21545
 3412
The basic characteristics of clinical experiments Trial characteristics The majority of the RCTs were conducted in countries in Europe and North America. The impact factor of most of the journals in which the studies were published (73%, n = 16) exceeded 30. Over half (63%, n = 14) of the studies included more than 500 participants. Most of the studies were either phase I or II vaccine trials; only 12% (n = 4) were phase III trials. Inter-rater agreement for the 2010 CONSORT standardized evaluation checklist were classified via Cohen’s κ statistic as substantial, good, or perfect (Table 1). CONSORT adherence scores ranged from 0 to 28. As the reported reference median CONSORT adherence score was 21 (range, 12–25), this indicated that 75% of the items in more than half of the RCTs in the present review had clear reports. The results of the descriptive analysis showed that less than 10% of the studies had a score of <14, thus indicating that study quality was “very good” (Table 1). The results showed the positive number of CONSORT in the frequency distribution diagram (Figure 2). All studies provided detailed scientific background information and reported baseline participant characteristics in both the experimental and control groups. Clinical outcomes after vaccination were summarized and presented in the form of tables. Since univariate analysis did not show significant differences between categories, CONSORT adherence scores could not be predicted according to category. Analysis of variance showed that there was no significant difference between the groups (Table 4).
Figure 2.

Percentage of literature that meets the 28-item 2010 Consolidated Standards of Reporting Trials (CONSORT) standardized evaluation checklist.

Table 4.

Publication characteristics associated with 2010 overall reporting quality

Publication characteristicMean CONSORT adherence scores (95% CI)Estimate (95% CI)*p
Year of publication   
202020.3 (17.44, 22.79)Reference0.783
202120.7 (18.38, 22.70)−0.17 (−0.99, 0.65)
Region in which trials were conducted   
Asia22.4 (19.16, 24.55)Reference0.351
Europe and North America20 (16.95, 23.05)0.61 (−0.11, 1.32)
Others19 (17.04, 20.96)−0.33 (−2.48, 1.81)
Journal impact factor   
<3022.5 (18.69, 24.98)Reference0.395
30–8020.3 (17.03, 23.64)−0.28 (−1.29, 0.73)
>8019.1 (16.91, 21.37)0.07 (−1.84, 1.99)
Sample size   
<50018.8 (16.08, 21.42)Reference0.248
500–100021.5 (17.60, 24.40)0.54 (−0.18, 1.27)
>1000.21.7 (19.12, 24.21)0.14 (−1.16, 1.44)
Sources of trial funding   
Government/foundation21.5 (18.75, 23.43)Reference0.58
Completely funded by industry20.3 (14.99, 25.51)0.14 (−0.30, 0.58)
Partially funded by industry19.3 (15.84, 22.73)0.08 (−0.27, 0.44)

Abbreviation: CONSORT adherence scores rated on a scale of 0 to 28. *The estimates indicate the benefit observed compared with the reference. Any positive value indicates incremental benefit compared with the reference, whereas any negative value indicates detriment compared with the reference.

Publication characteristics associated with 2010 overall reporting quality Abbreviation: CONSORT adherence scores rated on a scale of 0 to 28. *The estimates indicate the benefit observed compared with the reference. Any positive value indicates incremental benefit compared with the reference, whereas any negative value indicates detriment compared with the reference. Percentage of literature that meets the 28-item 2010 Consolidated Standards of Reporting Trials (CONSORT) standardized evaluation checklist. The median CONSORT adherence score according to the 2001 CONSORT statement criteria was 16 (range, 7–19); this indicated that 84% of the RCTs had clear reports. The results of the descriptive analysis showed that less than 10% of the RCTs had a score of <9. This reflected a “very good” study quality and was consistent with the results obtained using the 2010 CONSORT standardized evaluation checklist (Supplementary Table S1). We evaluated adverse event report scores based on the rating of the hazardous recommendations. Our analysis indicated that inactivated vaccines, nucleic acid vaccines, adenovirus vector vaccines, protein subunit vaccines, and other types of COVID-19 vaccines had good efficacy. These vaccines were also safe, as no serious adverse reactions such as death were reported (Supplementary Table S2). The use of allocation concealment and blinding across the included studies is shown in Supplementary Table S3. Over half (59%, n = 13) of the studies used a centralized randomization method, and 82% (n = 18) used the blind method. Only 27% (n = 6) of the studies performed an ITT analysis. Studies that did not report the use of ITT were assumed to have not used this analysis method. Supplementary Table S4 summarizes the endpoints used in the 22 trials. Most trials ended with adverse reactions or immunogenicity; safety and adverse reactions were the most commonly reported outcomes (77%, n = 17), and the vaccine effectiveness was only 36% (n = 8). The results of Supplementary Table S5 are similar to those of the univariate analysis of CONSORT 2010, which showed that there was no significant difference between categories. Therefore, CONSORT adherence scores were not predicted by category.

Discussion

The results of our review indicate that the quality of RCTs on COVID-19 vaccines was not affected by the specific stage of vaccine development that was under investigation. Indeed, the CONSORT adherence scores indicated that the reporting quality of these RCTs was very good. This finding is pertinent for governments worldwide, as they are responsible for the majority of funding for vaccine research and development. Vaccines are one of the most effective and safest means for preventing the further spread of COVID-19.[32] A number of different factors may affect the quality of research reports. For example, study quality is often significantly associated with the type of funding source. Journals with more published papers have higher impact factors, which are often associated with increased study quality. Studies in such journals are more likely to have a large sample size and include a wide range of age groups, from adolescents to the elderly. At present, the incidence of new COVID-19 cases has not plateaued in many countries. In addition, some countries have even reported mutated variants with increased transmissibility. The emergence of COVID-19 variants indicates that a second vaccine dose is necessary, as previous studies have found that vaccine effectiveness after the first dose decreases after a period of time.[33] A third dose can further maintain effectiveness over the long-term and should be considered in countries where the proportion of the population with both first and second doses has reached a certain threshold.[34] Different vaccine types can be selected by countries according to their actual situation.[35] The results of the present review indicate that the majority of the investigated vaccine types are very effective. From the conclusion that there is no significant difference in univariate analysis, it can be seen that the literature quality of different categories with different characteristics is similar. It can be concluded that the quality of these RCTs is very good; the reporting was very specific and detailed, regardless of journal impact factor, funding source, region in which trials were conducted, and sample size. Some RCTs did not provide details regarding the random allocation of study participants, as well as whether allocation concealment was performed. Some RCTs did not report whether researchers or patients were blinded to treatment allocation. The current stage of COVID-19 vaccine research has mainly focused on outcomes pertaining to adverse reactions, immunogenicity, and vaccine effectiveness; the latter outcome has been limited by the inability to mass produce experimental vaccines for evaluation in clinical trials. Nevertheless, a plethora of studies on COVID-19 vaccines are planned or in progress, and their results will provide important data on actual vaccine effectiveness. To date, the completed RCTs on COVID-19 vaccines have been of very good quality; this may be attributed to the individual efforts of research personnel, as well as the large amount of invested human, material, and financial resources. High-quality RCTs not only provide a greater reference value for future studies, but also contribute more to the global efforts to combat the COVID-19 pandemic. This is pertinent, as greater challenges for vaccine development are expected with the continuous emergence of COVID-19 variants. Long-term studies are required to determine whether existing vaccines can effectively and safely prevent infection by different variant strains.[36,37] Nevertheless, we found that some studies omitted certain CONSORT checklist items, such as declaring that the study was a RCT in the title; this criterion was only satisfied in 59% of the included studies. The implementation of randomization was only described in 41% of the studies. Thus, the majority of studies did not adhere to the principles of randomization; alternatively, they may have followed these principles but failed to report it. This resulted in a reduced study quality to some degree. Some limitations are acknowledged in the present review. For example, we did not perform a detailed analysis of study follow-up duration and specific types of adverse reactions. Furthermore, the included studies did not provide detailed data on participant race, sex, age, or other differences. In addition, as the univariate analyses did not yield statistically significant associations with CONSORT adherence scores, we were unable to conduct a multivariate analysis to adjust for confounding factors. In conclusion, based on the use of the CONSORT criteria, we determined that the RCTs on COVID-19 vaccines that have been published to date are of very high quality. This may be attributed to not only the adherence of study authors to established research reporting guidelines, but also the strict evaluation of manuscripts by referees during the peer review stage. Click here for additional data file.
  36 in total

Review 1.  SARS-CoV-2 vaccines in development.

Authors:  Florian Krammer
Journal:  Nature       Date:  2020-09-23       Impact factor: 49.962

2.  Effect of an Inactivated Vaccine Against SARS-CoV-2 on Safety and Immunogenicity Outcomes: Interim Analysis of 2 Randomized Clinical Trials.

Authors:  Shengli Xia; Kai Duan; Yuntao Zhang; Dongyang Zhao; Huajun Zhang; Zhiqiang Xie; Xinguo Li; Cheng Peng; Yanbo Zhang; Wei Zhang; Yunkai Yang; Wei Chen; Xiaoxiao Gao; Wangyang You; Xuewei Wang; Zejun Wang; Zhengli Shi; Yanxia Wang; Xuqin Yang; Lianghao Zhang; Lili Huang; Qian Wang; Jia Lu; Yongli Yang; Jing Guo; Wei Zhou; Xin Wan; Cong Wu; Wenhui Wang; Shihe Huang; Jianhui Du; Ziyan Meng; An Pan; Zhiming Yuan; Shuo Shen; Wanshen Guo; Xiaoming Yang
Journal:  JAMA       Date:  2020-09-08       Impact factor: 56.272

3.  Immunogenicity and safety of a severe acute respiratory syndrome coronavirus 2 inactivated vaccine in healthy adults: randomized, double-blind, and placebo-controlled phase 1 and phase 2 clinical trials.

Authors:  Hong-Xing Pan; Jian-Kai Liu; Bao-Ying Huang; Gui-Fan Li; Xian-Yun Chang; Ya-Fei Liu; Wen-Ling Wang; Kai Chu; Jia-Lei Hu; Jing-Xin Li; Dan-Dan Zhu; Jing-Liang Wu; Xiao-Yu Xu; Li Zhang; Meng Wang; Wen-Jie Tan; Wei-Jin Huang; Feng-Cai Zhu
Journal:  Chin Med J (Engl)       Date:  2021-04-28       Impact factor: 2.628

4.  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

5.  A preliminary report of a randomized controlled phase 2 trial of the safety and immunogenicity of mRNA-1273 SARS-CoV-2 vaccine.

Authors:  Laurence Chu; Roderick McPhee; Wenmei Huang; Hamilton Bennett; Rolando Pajon; Biliana Nestorova; Brett Leav
Journal:  Vaccine       Date:  2021-02-09       Impact factor: 3.641

6.  The safety and immunogenicity of an inactivated SARS-CoV-2 vaccine in Chinese adults aged 18-59 years: A phase I randomized, double-blinded, controlled trial.

Authors:  Jing Pu; Qin Yu; Zhifang Yin; Ying Zhang; Xueqi Li; Qiongzhou Yin; Hongbo Chen; Runxiang Long; Zhimei Zhao; Tangwei Mou; Heng Zhao; Shiyin Feng; Zhongping Xie; Lichun Wang; Zhanlong He; Yun Liao; Shengtao Fan; Ruiju Jiang; Jianfeng Wang; Lingli Zhang; Jing Li; Huiwen Zheng; Pingfang Cui; Guorun Jiang; Lei Guo; Mingjue Xu; Huijuan Yang; Shan Lu; Xuanyi Wang; Yang Gao; Xingli Xu; Linrui Cai; Jian Zhou; Li Yu; Zhuo Chen; Chao Hong; Dan Du; Hongling Zhao; Yan Li; Kaili Ma; Yunfei Ma; Donglan Liu; Shibao Yao; Changgui Li; Yanchun Che; Longding Liu; Qihan Li
Journal:  Vaccine       Date:  2021-04-09       Impact factor: 3.641

7.  Efficacy of NVX-CoV2373 Covid-19 Vaccine against the B.1.351 Variant.

Authors:  Vivek Shinde; Sutika Bhikha; Zaheer Hoosain; Moherndran Archary; Qasim Bhorat; Lee Fairlie; Umesh Lalloo; Mduduzi S L Masilela; Dhayendre Moodley; Sherika Hanley; Leon Fouche; Cheryl Louw; Michele Tameris; Nishanta Singh; Ameena Goga; Keertan Dheda; Coert Grobbelaar; Gertruida Kruger; Nazira Carrim-Ganey; Vicky Baillie; Tulio de Oliveira; Anthonet Lombard Koen; Johan J Lombaard; Rosie Mngqibisa; As'ad E Bhorat; Gabriella Benadé; Natasha Lalloo; Annah Pitsi; Pieter-Louis Vollgraaff; Angelique Luabeya; Aliasgar Esmail; Friedrich G Petrick; Aylin Oommen-Jose; Sharne Foulkes; Khatija Ahmed; Asha Thombrayil; Lou Fries; Shane Cloney-Clark; Mingzhu Zhu; Chijioke Bennett; Gary Albert; Emmanuel Faust; Joyce S Plested; Andreana Robertson; Susan Neal; Iksung Cho; Greg M Glenn; Filip Dubovsky; Shabir A Madhi
Journal:  N Engl J Med       Date:  2021-05-05       Impact factor: 91.245

8.  Safety and immunogenicity of an inactivated SARS-CoV-2 vaccine, BBV152: a double-blind, randomised, phase 1 trial.

Authors:  Raches Ella; Krishna Mohan Vadrevu; Harsh Jogdand; Sai Prasad; Siddharth Reddy; Vamshi Sarangi; Brunda Ganneru; Gajanan Sapkal; Pragya Yadav; Priya Abraham; Samiran Panda; Nivedita Gupta; Prabhakar Reddy; Savita Verma; Sanjay Kumar Rai; Chandramani Singh; Sagar Vivek Redkar; Chandra Sekhar Gillurkar; Jitendra Singh Kushwaha; Satyajit Mohapatra; Venkat Rao; Randeep Guleria; Krishna Ella; Balram Bhargava
Journal:  Lancet Infect Dis       Date:  2021-01-21       Impact factor: 25.071

9.  Introduction of the South African SARS-CoV-2 variant 501Y.V2 into the UK.

Authors:  Julian W Tang; Oliver T R Toovey; Kirsty N Harvey; David D S Hui
Journal:  J Infect       Date:  2021-01-17       Impact factor: 6.072

10.  Immunogenicity and safety of a recombinant adenovirus type-5-vectored COVID-19 vaccine in healthy adults aged 18 years or older: a randomised, double-blind, placebo-controlled, phase 2 trial.

Authors:  Feng-Cai Zhu; Xu-Hua Guan; Yu-Hua Li; Jian-Ying Huang; Tao Jiang; Li-Hua Hou; Jing-Xin Li; Bei-Fang Yang; Ling Wang; Wen-Juan Wang; Shi-Po Wu; Zhao Wang; Xiao-Hong Wu; Jun-Jie Xu; Zhe Zhang; Si-Yue Jia; Bu-Sen Wang; Yi Hu; Jing-Jing Liu; Jun Zhang; Xiao-Ai Qian; Qiong Li; Hong-Xing Pan; Hu-Dachuan Jiang; Peng Deng; Jin-Bo Gou; Xue-Wen Wang; Xing-Huan Wang; Wei Chen
Journal:  Lancet       Date:  2020-07-20       Impact factor: 202.731

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