Evidence map›Paper›PMID 34628568›Full record

ArticleJournal of community health2022

Active Surveillance of Adverse Events in Healthcare Workers Recipients After Vaccination with COVID-19 BNT162b2 Vaccine (Pfizer-BioNTech, Comirnaty): A Cross-Sectional Study.

Giancarlo Ripabelli, Manuela Tamburro, Nicandro Buccieri, Carmen Adesso, Valeria Caggiano, Fabio Cannizzaro, Michela Anna Di Palma, Gloria Mantuano, Valeria Giovanna Montemitro, Anna Natale and 2 more

Abstract read
In one paragraph

Article in Journal of community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Emerging Progress of RNA-Based Antitumor Therapeutics.International journal of biological sciences · 2023
    Review
  18. Review
  19. Article
  20. 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

12 authors.

Giancarlo RipabelliDepartment of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Via De Sanctis, 86100, Campobasso, Italy. ripab@unimol.it.ORCID 0000-0002-9953-7769
Manuela TamburroDepartment of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Via De Sanctis, 86100, Campobasso, Italy.
Nicandro BuccieriCasa Di Cura Istituto Europeo Di Riabilitazione, Isernia, Italy.
Carmen AdessoSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Valeria CaggianoSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Fabio CannizzaroSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Michela Anna Di PalmaSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Gloria MantuanoSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Valeria Giovanna MontemitroSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Anna NataleSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Leonardo RodioSchool of Specialization in Hygiene and Preventive Medicine, University of Molise, Campobasso, Italy.
Michela Lucia SammarcoDepartment of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Via De Sanctis, 86100, Campobasso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this cross-sectional study, adverse events after the first and second dose of BNT162b2 mRNA (Pfizer-BioNTech, Comirnaty) vaccine against coronavirus disease 2019 were investigated among employees of clinics in central Italy. A 42-items questionnaire was administrated to vaccine recipients. Adverse events were classified based on severity and occurrence as reported in the literature. A descriptive/univariate analysis using Chi-square or Fisher's Exact tests was performed. Odds ratio (OR) and 95% confidence intervals were calculated to assess risk factors. 340 individuals (61.5% females; median age 49 years) participated. Adverse events were reported by 279 (82%) and 281 (82.6%) individuals as induced by the first and second dose, respectively. Mild reactions were mainly reported (80.9% and 80.3%), followed by moderate (11.8% and 37.1%) and severe (3.8% and 4.7%). Adverse events were identical to those already described as very common (81.8% and 80.6%), although vaccine-coincidental events not cited in the literature were reported by 6% and 15.6% following each dose. Age ≤ 55 years was a risk factor for any adverse event after each injection (ORs: 2.942 and 2.818), as well as female sex for those mild (ORs: 1.856 and 2.818) and common (ORs: 3.452 and 2.145). Findings were consistent with national reports as most of the adverse events were mild and associated with female sex and young age, while investigations are needed for reactions not described elsewhere. Data are useful to support the vaccine safety profile, also because largely targeted healthcare personnel more skilled than general population in self-diagnosis of health-related issues.

Indexed as

COVID-19VaccinesBNT162 VaccineCOVID-19 VaccinesCross-Sectional StudiesFemaleHealth PersonnelHumansMaleMiddle AgedSARS-CoV-2VaccinationWatchful WaitingBNT162 VaccineCOVID-19 VaccinesVaccinesBNT162b2 mRNA vaccineFirst doseSafetySecond doseSex differencesYounger adults

Identifiers

PMID34628568
PMCPMC8501918

What OpenQuestion holds

Textmetadata
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.