Evidence map›Paper›PMID 39271677›Full record

ArticleNPJ vaccines2024

Risk benefit analysis to evaluate risk of thromboembolic events after mRNA COVID-19 vaccination and COVID-19.

Huong N Q Tran, Malcolm Risk, Girish B Nair, Lili Zhao

Abstract read
In one paragraph

Article in NPJ vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Huong N Q TranDivision of Biostatistics & Health Informatics, Corewell Health Research Institute, Royal Oak, MI, USA.ORCID http://orcid.org/0000-0003-3828-3862
Malcolm RiskDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Girish B NairWilliam Beaumont University Hospital, Corewell Health East, Royal Oak, MI, USA.
Lili ZhaoDivision of Biostatistics, Department of Preventive Medicine, Northwestern University, Chicago, IL, USA. lili.zhao@northwestern.edu.

Funding

Incorporation of multilevel ontologies of adverse events and vaccines for vaccine safety surveillanceR01AI158543 · NIAID · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI ZHAO, LILI · 2021 to 2025
$1.8M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01AI158543NIAID NIH HHS R01 AI158543
6 · The paper itself

Abstract

We compared the risks and benefits of COVID-19 vaccines using a causal pathway analysis to weigh up possible risk factors of thromboembolic events post-vaccination. The self-controlled case series (SCCS) method examined the association between thromboembolic events and vaccination while a case-control study assessed the association between thromboembolic events and COVID-19, addressing under-reported infection data issues. The net vaccine effect was estimated using results from SCCS and case-control studies. We used electronic health record data from Corewell Health (16,640 subjects in SCCS and 106,143 in case-control). We found increased risks of thromboembolic events post-vaccination (incidence rate ratio: 1.19, 95% CI: [1.08, 1.31] after the first dose; 1.22, 95% CI: [1.11, 1.34] after the second dose). Vaccination attenuated infection-associated thromboembolic risks (odds ratio: 4.65, 95% CI: [4.18, 5.17] in unvaccinated vs 2.77, 95% CI: [2.40, 3.24] in vaccinated). After accounting for vaccine efficacy and protection against infection-associated thromboembolic events, vaccination decreases thromboembolic event risk, especially during high infection rate periods.

Identifiers

PMID39271677
PMCPMC11399239

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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.