Evidence map›Paper›PMID 33846042›Full record

ArticleVaccine2021

The critical role of background rates of possible adverse events in the assessment of COVID-19 vaccine safety.

Steven B Black, Barbara Law, Robert T Chen, Cornelia L Dekker, Miriam Sturkenboom, Wan-Ting Huang, Marc Gurwith, Greg Poland

Abstract read
In one paragraph

Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  12. Safety of Streptococcus pyogenes Vaccines: Anticipating and Overcoming Challenges for Clinical Trials and Post-Marketing Monitoring.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Steven B BlackThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA. Electronic address: stevblack@gmail.com.
Barbara LawThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA.
Robert T ChenThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA.
Cornelia L DekkerThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA.
Miriam SturkenboomUniversity of Utrecht, Netherlands.
Wan-Ting HuangThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA.
Marc GurwithThe Brighton Collaboration, a program of the Task Force for Global Health, Decatur, Georgia USA.
Greg PolandThe Mayo Clinic, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beginning in December of 2019, a novel coronavirus, SARS-CoV-2, emerged in China and is now a global pandemic with extensive morbidity and mortality. With the emergence of this threat, an unprecedented effort to develop vaccines against this virus began. As vaccines are now being introduced globally, we face the prospect of millions of people being vaccinated with multiple types of vaccines many of which use new vaccine platforms. Since medical events happen without vaccines, it will be important to know at what rate events occur in the background so that when adverse events are identified one has a frame of reference with which to compare the rates of these events so as to make an initial assessment as to whether there is a potential safety concern or not. Background rates vary over time, by geography, by sex, socioeconomic status and by age group. Here we describe two key steps for post-introduction safety evaluation of COVID-19 vaccines: Defining a dynamic list of Adverse Events of Special Interest (AESI) and establishing background rates for these AESI. We use multiple examples to illustrate use of rates and caveats for their use. In addition we discuss tools available from the Brighton Collaboration that facilitate case evaluation and understanding of AESI.

Indexed as

COVID-19VaccinesChinaCOVID-19 VaccinesHumansSARS-CoV-2COVID-19 VaccinesVaccinesBackground ratesCOVID-19 vaccinesVaccine safety

Identifiers

PMID33846042
PMCPMC7936550

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.