Evidence map›Paper›PMID 35400233›Full record

SynthesisJournal of primary care & community health

A Meta-Analysis on the Safety and Immunogenicity of Covid-19 Vaccines.

Rasha Ashmawy, Noha A Hamdy, Yasir Ahmed Mohammed Elhadi, Sulafa T Alqutub, Ola Fahmy Esmail, Marwa Shawky Mohammed Abdou, Omar Ahmed Reyad, Samar O El-Ganainy, Basma Khairy Gad, Ahmed El-Sayed Nour El-Deen and 5 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. We can do better.EMBO reports · 2023
    Article
  12. Article
  13. Article
  14. COVID-19 Vaccines: An Updated Overview of Different Platforms.Bioengineering (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. COVID-19 Vaccine Acceptance among Social Media Users: A Content Analysis, Multi-Continent Study.International journal of environmental research and public health · 2022
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 4 countries.

Rasha AshmawyMaamora Chest Hospital, Alexandria, Egypt.
Noha A HamdyAlexandria University, Alexandria, Egypt.ORCID 0000-0002-4606-8567
Yasir Ahmed Mohammed ElhadiSudanese Medical Research Association, Khartoum, Sudan.
Sulafa T AlqutubUniversity of Jeddah, Jeddah, KSA.
Ola Fahmy EsmailThe Egyptian Drug Authority, Egypt.
Marwa Shawky Mohammed AbdouAlexandria University, Alexandria, Egypt.
Omar Ahmed ReyadAlexandria Main University Hospital, Alexandria, Egypt.
Samar O El-GanainyPharos University in Alexandria, Alexandria, Egypt.
Basma Khairy GadMinistry of Health and Population, Preventive Medicine Sector, South Sinai, Egypt.
Ahmed El-Sayed Nour El-DeenAl-Azhar University, Assiut, Egypt.
Ahmed KamalAlexandria University, Alexandria, Egypt.
Haider ElSaiehUniversity of Tripoli, Tripoli, Libyan Arab Jamahiriya.
Ehab ElrewinyAlexandria University, Alexandria, Egypt.
Ramy ShaabanUtah State University, Logan, UT, USA.ORCID 0000-0003-1709-1036
Ramy Mohamed GhazyAlexandria University, Alexandria, Egypt.ORCID 0000-0001-7611-706X
Alexandria University · EGAl-Azhar University · EGEgyptian Government · EGMinistry of Health and Population · EGPharos University in Alexandria · EGUniversity of Jeddah · SAUniversity of Tripoli · LYUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe presented meta-analysis (MA) aims at identifying the vaccine safety and immunogenicity in published trials about SARS-CoV-2 vaccines.

methodsAll relevant publications were systematically searched and collected from different databases (Embase, Scopus, EBSCO, MEDLINE central/PubMed, Science Direct, Cochrane Central Register for Clinical Trials (CENTRAL), Clinical Trials.gov, WHO International Clinical Trials Registry Platform (ICTRP), COVID Trial, COVID Inato, Web of Science, ProQuest Thesis, ProQuest Coronavirus Database, SAGE Thesis, Google Scholar, Research Square, and Medxriv) up to January 10, 2021. The pooled vaccine safety and immunogenicity following vaccination in phase 1 and 2 vaccine clinical trials, as well as their 95% confidence intervals (CI), were estimated using the random-effects model.

resultsThe predefined inclusion criteria were met in 22 out of 8592 articles. The proportion of anti-severe acute respiratory distress coronavirus 2 (SARS-CoV-2) antibody responses after 7 days among 72 vaccinated persons included in 1 study was 81% (95% CI: 70-89), after 14 days among 888 vaccinated persons included in 6 studies was 80% (95% CI: 58-92), after 28 days among 1589 vaccinated persons included in 6 studies was 63% (95% CI: 59-67), after 42 days among 478 vaccinated persons included in 5 studies was 93% (95% CI: 80-98), and after 56 days among 432 vaccinated persons included in 2 studies was 93% (95% CI: 83-97). Meta regression explains more than 80% of this heterogeneity, where the main predictors were; the inactivated vaccine type (β = 2.027,

conclusionImmunogenicity following vaccination ranged from 63% to 93% depending on the time at which the antibody levels were measured.

Indexed as

COVID-19COVID-19 VaccinesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19 vaccinesimmunogenicitymeta-analysisphase 1phase 2vaccine safety

Identifiers

PMID35400233
PMCPMC8998390
OpenAlexW4223476810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.