Evidence map›Paper›PMID 38907283›Full record

ArticleAmerican journal of epidemiology2025

A propensity score approach and a partitioned approach for the self-controlled case series design to evaluate safety of a 2-dose vaccine series: application to myocarditis/pericarditis following mRNA COVID-19 vaccination.

Stanley Xu, Lina S Sy, Bing Han, Vennis Hong, Katia J Bruxvoort, Bruno Lewin, Kimberly J Holmquist, Lei Qian

Abstract read
In one paragraph

Article in American journal of epidemiology, 2025. 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. 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

8 authors.

Stanley XuDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.ORCID 0000-0002-4750-7672
Lina S SyDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.ORCID 0000-0003-2762-9266
Bing HanDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.
Vennis HongDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.
Katia J BruxvoortDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.ORCID 0000-0001-8277-2431
Bruno LewinDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.
Kimberly J HolmquistDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.
Lei QianDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles Ave, 5th Floor, Pasadena, CA 91101, United States.

Funding

A risk-varying and perturbed self-controlled case series design for assessing the safety of COVID-19 vaccines in a large health care systemR01AI168209 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI XU, STANLEY · 2022 to 2025
$2.7M
NIAID NIH HHS R01 AI168209
6 · The paper itself

Abstract

The assumption that serious adverse events (SAEs) do not affect subsequent exposure might not hold when evaluating 2-dose vaccine safety through a self-controlled case series (SCCS) design. To address this, we developed: (1) propensity score SCCS (PS-SCCS) using a propensity score model involving SAEs during the risk interval after dose 1 (${R}_1$), and (2) partitioned SCCS (P-SCCS) estimating relative incidence (RI) separately for doses 1 and 2. In simulations, both provided unbiased RIs. Conversely, standard SCCS overestimated RI after dose 2. We applied these approaches to assess myocarditis/pericarditis risks after 2-dose mRNA coronavirus disease 2019 (COVID-19) vaccination in 12- to 39-year-olds. For BNT162b2, PS-SCCS yielded RIs of 1.85 (95% CI, 0.75-4.59) and 11.05 (95% CI, 6.53-18.68) 14 days after doses 1 and 2 respectively; standard SCCS provided similar RI after dose 1 and RI of 12.92 (95% CI, 7.56-22.09) after dose 2. For mRNA-1273, standard SCCS showed RIs of 1.96 (95% CI, 0.56-6.91) after dose 1 and 7.87 (95% CI, 3.33-18.57) after dose 2. As no mRNA-1273 recipients with SAEs during ${R}_1$ received dose 2, P-SCCS was used, yielding similar RI after dose 1 and RI of 6.48 (95% CI, 2.83-14.83) after dose 2. mRNA vaccines were associated with elevated myocarditis/pericarditis risks following dose 2 in 12- to 39-year-olds.

Indexed as

COVID-19COVID-19 VaccinesMyocarditisPericarditisAdolescentAdultBNT162 VaccineChildFemaleHumansMalePropensity ScoreSARS-CoV-2Young AdultBNT162 VaccineCOVID-19 VaccinesCOVID-19 mRNA vaccinesmyocarditis/pericarditispropensity scoreself-controlled case seriessimulationvaccine safety study

Identifiers

PMID38907283
PMCPMC11735979

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LicenceCC BY
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Registered trials

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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.