Evidence map›Paper›PMID 38393386›Full record

ReviewRheumatology international2024

Antiphospholipid syndrome, thrombosis, and vaccination in the COVID-19 pandemic.

Tatjana Zekić, Andrej Belančić

Abstract readReview
PubMed Publisher
In one paragraph

Review in Rheumatology international, 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
0.9field-weighted citation impact, top 27% of its field
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, 2 citations in OpenAlex.

  1. Article
  2. Infection-Triggered Antiphospholipid Syndrome: A Critical Overview.Open access rheumatology : research and reviews · 2025
    Review
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

2 authors at 2 institutions in 1 country.

Tatjana ZekićClinical Hospital Center Rijeka, Department of Rheumatology and Clinical Immunology, University of Rijeka, Faculty of Medicine, Rijeka, Croatia. tatjana.zekic@ri.t-com.hr.ORCID 0000-0001-7948-5394
Andrej BelančićDepartment of Clinical Pharmacology, Clinical Hospital Centre Rijeka, Krešimirova 42, 51000, Rijeka, Croatia.ORCID 0000-0001-7848-6600
University Hospital Centre Zagreb · HRUniversity of Rijeka · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombosis is one of the many signs of antiphospholipid syndrome (APS) and COVID-19 infection. Although the mechanisms contributing to thrombosis in APS and COVID-19 are relatively similar, this remains an open subject. Even now (when the COVID-19 pandemic has subsided), there is no conclusive solution to APS and COVID-19 co-occurrence. The presence of newly generated antiphospholipid antibodies (aPLs) in COVID-19 infection may or may not be connected to the diagnosis of APS. The prevalence of aPLs is substantial in severe COVID-19 but not related to thrombosis or a worse outcome. Adequate monitoring of antibody positivity over time is recommended for APL diagnosis. On the other hand, thrombosis and thrombocytopenia can rarely occur with vaccination with mRNA vaccines. Some studies have shown that COVID-19 immunization is well tolerated among APS patients who are triple-positive for aPL, which may comfort patients and referring physicians and lessen hesitation in unvaccinated APS/aPL-positive patients. In this narrative review, we will give an overview of the interaction between aPL-APS-COVID-19-thrombosis and related diagnostic insights learned during the pandemic.

Indexed as

Antiphospholipid SyndromeCOVID-19ThrombosisHumansPandemicsVaccinationAntibodiesAntiphospholipid syndromeCOVID-19 vaccinesSARS-CoV-2ThrombosisVaccination

Identifiers

PMID38393386
OpenAlexW4392104904

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.