Evidence map›Paper›PMID 39474208›Full record

ArticleVaccine: X2024

Pulmonary embolism after SARS-CoV-2 vaccination.

Björn Zethelius, Sofia Attelind, Gabriel Westman, Rickard Ljung, Anders Sundström

Abstract read
In one paragraph

Article in Vaccine: X, 2024. 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. Observational
  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

5 authors.

Björn ZetheliusThe Swedish Medical Products Agency, Uppsala, Sweden.
Sofia AttelindThe Swedish Medical Products Agency, Uppsala, Sweden.
Gabriel WestmanThe Swedish Medical Products Agency, Uppsala, Sweden.
Rickard LjungThe Swedish Medical Products Agency, Uppsala, Sweden.
Anders SundströmThe Swedish Medical Products Agency, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 vaccination campaign in Sweden, pulmonary embolism (PE) was a frequently reported suspected serious adverse drug reaction. The aim was to estimate risk of PE following vaccination for COVID-19 in the Swedish population aged 18 to 84 years. Methods: Population-based cohort study using the CoVacSafe-SE established platform including national registers. PE-case definition: Individuals discharged from inpatient-care or visiting specialized outpatient-care with a main diagnosis of PE occurring between 27-Dec-2020 and 31-Dec-2022 without simultaneous diagnosis of COVID-19 infection. Time-to-event analysis was performed using multi-variable Cox' proportional hazard's models. Hazard Ratios (HR) adjusted for age, sex and co-morbidities were modelled.The vaccines were BNT162b2/Comirnaty®, mRNA1273/Spikevax® and ChAdOx1 nCoV-19/Vaxzevria® without regard to variants. Doses number one to five were studied. Results: Eighty percent of the study-population (≈6.1 million people) received at least two doses of COVID-19 vaccine. A total of 12,456 cases of PE were identified. Twenty-eight days after vaccinations we observed 99 cases after 701,455 1st doses of ChAdOx1 nCoV-19, HR Conclusion: In this nation-wide study, no strong associations were found between COVID-19 vaccinations and pulmonary embolism. Small increases in relative risk for the earliest doses of vaccines may be associated with prioritizing the frailest groups of people in the vaccination campaign, thus selection bias or unmeasured residual confounding is possible.

Indexed as

Booster vaccinationsCOVID-19 vaccinesPrimary vaccinationsPublic healthPulmonary embolismRegulatory scienceVaccine safety

Identifiers

PMID39474208
PMCPMC11513630

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.