SynthesisPharmacoepidemiology and drug safety2025
Quantitative Benefit-Risk Assessment of Vaccination Against COVID-19: A Systematic Review.
Synthesis in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeWith the introduction of COVID-19 vaccines, there has been a proliferation of quantitative benefit-risk assessments (qBRAs). Prior work on other types of vaccines has found that published qBRAs have not always clearly reported methods and/or results needed to assist in the application of the qBRA findings. The aim was to systematically identify, review, and critically assess published COVID-19 vaccine qBRA. The ultimate goal is to support the future development of robust qBRA for existing, new, and updated vaccines.
methodsWe systematically reviewed COVID-19 vaccine qBRAs identified from multiple sources through April 17, 2023, including literature databases, selected Health Authority websites, and a grey literature search. We critically assessed whether key features typical of qBRA were presented in these reports.
resultsWe identified 37 COVID-19 vaccine qBRAs from screening 2220 publications and 18 other sources. The qBRAs were conducted on two mRNA and two adenoviral vector COVID-19 vaccines. Only one qBRA represented low- and middle-income countries. Although many qBRAs used simple calculations (n = 25), more complex models were presented in 15 reports. Simple approaches were able to employ stratification by age and/or sex to highlight safety issues affecting specific demographic groups and scenarios to account for changes in viral transmission and vaccine effectiveness over time. Details regarding data sources and analytic methods were missing or limited in some reports.
conclusionsThis comprehensive description and critical assessment of COVID-19 vaccine qBRAs together with available guidance can be used to support the development of robust and transparent future vaccine qBRAs.
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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.