Evidence map›Paper›PMID 37539758›Full record

ArticleThe Journal of infectious diseases2023

Susceptibility to COVID-19 and Immunologic Response to Vaccination in Patients With Immune-Mediated Inflammatory Diseases.

Axel Finckh, Adrian Ciurea, Catherine E Raptis, Andrea Rubbert-Roth

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Axel FinckhDivision of Rheumatology, Geneva University Hospitals, Geneva, Switzerland.
Adrian CiureaDepartment of Rheumatology, Zurich University Hospital, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-7870-7132
Catherine E RaptisSwiss Clinical Quality Management Foundation, Zurich, Switzerland.
Andrea Rubbert-RothDivision of Rheumatology and Immunology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.ORCID 0000-0002-9016-2833
SCQM Foundation · CHUniversity of Geneva · CHUniversity of St.Gallen · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-mediated inflammatory diseases (IMIDs) are a highly heterogeneous group of diseases that share a common etiology of immune dysregulation, such as rheumatoid arthritis, inflammatory bowel disease, and psoriasis, among others. It is estimated that the prevalence of IMIDs ranges between 5% and 7% in developed countries. As current management of IMIDs includes the use of immunomodulatory medications, the resulting weakened immune response can increase the risk of infection, including with SARS-CoV-2 (the causative agent of COVID-19) and reduce response to vaccination, placing these individuals at continued risk of severe outcomes from COVID-19. In this article, we summarize the current literature related to COVID-19 outcomes and the immunogenicity and reactogenicity of COVID-19 mRNA vaccination among patients with rheumatologically dominated IMIDs, as well as the effect of immunomodulatory therapies on these outcomes. We conclude by providing current COVID-19 vaccination recommendations for individuals with IMID.

Indexed as

COVID-19COVID-19 VaccinesHumansImmunomodulating AgentsSARS-CoV-2VaccinationCOVID-19 VaccinesImmunomodulating AgentsCOVID-19immune-mediated inflammatory diseasemRNAmusculoskeletalrheumatoidSARS-CoV-2vaccinationvaccine

Identifiers

PMID37539758
PMCPMC10401619
OpenAlexW4385563579

What OpenQuestion 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 OpenQuestion graph.