Evidence map›Paper›PMID 35661906›Full record

ReviewRheumatology international2022

Anti-MDA5 dermatomyositis after COVID-19 vaccination: a case-based review.

Daniel Gonzalez, Latika Gupta, Vijaya Murthy, Emilio B Gonzalez, Katrina A Williamson, Ashima Makol, Chou Luan Tan, Farah Nadiah Sulaiman, Nor Shuhaila Shahril, Liza Mohd Isa and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Rheumatology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
8.4field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  11. Clinical characteristics and outcomes in patients withRespiratory medicine case reports · 2025
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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

12 authors at 5 institutions in 3 countries.

Daniel GonzalezDivision of Rheumatology, University of Texas, Medical Branch, 301 University Boulevard, Route 1118, Galveston, TX, 77555, USA. daegonza@utmb.edu.ORCID 0000-0002-9914-6549
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Trust, Wolverhampton, UK.ORCID 0000-0003-2753-2990
Vijaya MurthyDivision of Rheumatology, University of Texas, Medical Branch, 301 University Boulevard, Route 1118, Galveston, TX, 77555, USA.ORCID 0000-0002-7876-8816
Emilio B GonzalezDivision of Rheumatology, University of Texas, Medical Branch, 301 University Boulevard, Route 1118, Galveston, TX, 77555, USA.ORCID 0000-0001-5270-1894
Katrina A WilliamsonDivision of Rheumatology, Mayo Clinic College of Medicine, Rochester, MN, USA.ORCID 0000-0002-6589-9219
Ashima MakolDivision of Rheumatology, Mayo Clinic College of Medicine, Rochester, MN, USA.ORCID 0000-0002-8748-898X
Chou Luan TanDepartment of Rheumatology, Hospital Putrajaya, Putrajaya, Malaysia.ORCID 0000-0002-9859-5385
Farah Nadiah SulaimanDepartment of Rheumatology, Hospital Putrajaya, Putrajaya, Malaysia.ORCID 0000-0002-5510-3870
Nor Shuhaila ShahrilDepartment of Rheumatology, Hospital Putrajaya, Putrajaya, Malaysia.ORCID 0000-0003-4260-8498
Liza Mohd IsaDepartment of Rheumatology, Hospital Putrajaya, Putrajaya, Malaysia.ORCID 0000-0003-1908-8287
Eduardo Martín-NaresDepartment of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID 0000-0002-7911-1269
Rohit AggarwalDivision of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-7531-8038
The University of Texas Medical Branch at Galveston · USMayo Clinic in Arizona · USInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXThe Royal Wolverhampton NHS Trust · GBUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-MDA5 (Melanoma differentiation-associated protein 5) myositis is a rare subtype of dermatomyositis (DM) characterized by distinct ulcerative, erythematous cutaneous lesions and a high risk of rapidly progressive interstitial lung disease (RP-ILD). It has been shown that SARS-CoV-2 (COVID-19) replicates rapidly in lung and skin epithelial cells, which is sensed by the cytosolic RNA-sensor MDA5. MDA5 then triggers type 1 interferon (IFN) production, and thus downstream inflammatory mediators (EMBO J 40(15):e107826, 2021); (J Virol, 2021, https://doi.org/10.1128/JVI.00862-21 ); (Cell Rep 34(2):108628, 2021); (Sci Rep 11(1):13638, 2021); (Trends Microbiol 27(1):75-85, 2019). It has also been shown that MDA5 is triggered by the mRNA COVID-19 vaccine with resultant activated dendritic cells (Nat Rev Immunol 21(4):195-197, 2021). Our literature review identified one reported case of MDA5-DM from the COVID-19 vaccine (Chest J, 2021, https://doi.org/10.1016/j.chest.2021.07.646 ). We present six additional cases of MDA5-DM that developed shortly after the administration of different kinds of COVID-19 vaccines. A review of other similar cases of myositis developing from the COVID-19 vaccine was also done. We aim to explore and discuss the evidence around recent speculations of a possible relation of MDA5-DM to COVID-19 infection and vaccine. The importance of vaccination during a worldwide pandemic should be maintained and our findings are not intended to discourage individuals from receiving the COVID-19 vaccine.

Indexed as

COVID-19COVID-19 VaccinesDermatomyositisLung Diseases, InterstitialAutoantibodiesHumansInterferon-Induced Helicase, IFIH1SARS-CoV-2VaccinationAutoantibodiesCOVID-19 VaccinesInterferon-Induced Helicase, IFIH1COVID-19 vaccineDermatomyositisMDA5

Identifiers

PMID35661906
PMCPMC9166182
OpenAlexW4281914039

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.