Evidence map›Paper›PMID 35099680›Full record

SynthesisInflammopharmacology2022

The effectiveness of BNT162b2 mRNA vaccine against COVID-19 caused by Delta variant of SARS-CoV-2: a systematic review and meta-analysis.

Chia Siang Chia Kow, Dinesh Sangarran Ramachandram, Syed Shahzad Hasan

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Inflammopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Chia Siang Chia KowSchool of Postgraduate Studies, International Medical University, Kuala Lumpur, Malaysia. chiasiang_93@hotmail.com.ORCID http://orcid.org/0000-0002-8186-2926
Dinesh Sangarran RamachandramSchool of Pharmacy, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia.
Syed Shahzad HasanSchool of Applied Sciences, University of Huddersfield, Huddersfield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analyses were utilized to determine the overall effectiveness of BNT162b2 mRNA vaccine (Pfizer vaccine) against COVID-19 caused by Delta variant from large real-world studies. A systematic literature search with no language restriction was performed in electronic databases to identify eligible observational studies that reported the effectiveness of the BNT162b2 mRNA vaccine to prevent reverse transcription-polymerase chain reaction (RT-PCR) confirmed COVID-19 caused by Delta variant of SARS-CoV-2 (B.1.617.2). Random-effects meta-analysis model was used to estimate the pooled odds ratio (OR) at a 95% confidence interval, and the vaccine effectiveness was indicated as (pooled OR - 1)/OR. Seven studies were included for this meta-analysis. The meta-analysis revealed that the administration of BNT162b2 mRNA vaccine protected against RT-PCR confirmed COVID-19 caused by Delta variant ≥ 21 days after the first dose, with vaccine effectiveness of 55% (95% confidence interval 46-63%), as well as ≥ 14 days after the second dose, with vaccine effectiveness of 81% (95% confidence interval 69-88%). In conclusion, the BNT162b2 mRNA vaccine offers a substantial protection rate against RT-PCR confirmed COVID-19 caused by the Delta variant upon full vaccination, albeit with slightly reduced effectiveness relative to other strains of SARS-CoV-2.

Indexed as

COVID-19BNT162 VaccineCOVID-19 VaccinesHumansmRNA VaccinesSARS-CoV-2Vaccines, SyntheticBNT162 VaccineCOVID-19 VaccinesmRNA VaccinesVaccines, SyntheticBNT162b2COVID-19DeltaVaccineVariant

Identifiers

PMID35099680
PMCPMC8802251

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.