Evidence map›Paper›PMID 36560439›Full record

ArticleVaccines2022

Quantitative Benefit-Risk Assessment of COVID-19 Vaccines Using the Multi-Criteria Decision Analysis.

Kyung-Hwa Son, Sun-Hong Kwon, Hye-Jung Na, Youngsuk Baek, Inok Kim, Eui-Kyung Lee

Abstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

6 authors.

Kyung-Hwa SonSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Sun-Hong KwonSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0002-1058-8392
Hye-Jung NaSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Youngsuk BaekSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Inok KimSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Eui-Kyung LeeSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea.ORCID 0000-0003-0601-7754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the early SARS-CoV-2 (COVID-19) pandemic, four major vaccines were approved despite limited efficacy and safety data through short regulatory review periods. Thus, it is necessary to assess the benefit-risk (BR) profiles of the COVID-19 vaccines. We conducted a quantitative BR assessment for four COVID-19 vaccines (mRNA-based: mRNA-1273 and BNT162b2; viral vector-based: Ad26.COV.2 and ChAdOx1-S) using multi-criteria decision analysis. Three benefit criteria and two risk criteria were considered: preventing COVID-19 infection for (1) adults aged ≥18 years; (2) seniors aged 60 years or older; and (3) severe COVID-19, adverse events (AEs), and serious AEs. Data were retrieved from clinical trials, observational studies, and county-specific AE monitoring reports. Based on the collected data, vaccines were scored for each criterion. 22 professionals weighted each criterion. The overall BR score was calculated using scores and weights. mRNA-1273 was the most preferred vaccine in pre-authorization and BNT162b2 in post-authorization. We found that the mRNA vaccine had a good balance between the benefits and risks. Using this BR assessment, the benefit-risk profile of COVID-19 vaccines can be updated with cumulated data. It will contribute to building evidence for decision making by policy makers and health professionals.

Indexed as

COVID-19 vaccinemulti-criteria decision analysisquantitative benefit-risk assessmentSARS-CoV-2

Identifiers

PMID36560439
PMCPMC9785565

What OpenQuestion holds

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LicenceCC BY
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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.