Evidence map›Paper›PMID 38353222›Full record

ArticleJournal of investigative medicine high impact case reports

Rheumatoid Arthritis Associated With Anti-Signal Recognition Particle Immune-Mediated Necrotizing Myopathy: A Case Report.

Mohamed Reda Belkhribchia, Johannes Alexander Lobrinus, Lamyaa Semlil, Nicolas Chauveau, Abdelaziz Ajrinija, Kristof Egervari, Zine Elabidine Ennhaili

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of investigative medicine high impact case reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 2 countries.

Mohamed Reda BelkhribchiaHassan II Regional Hospital, Dakhla, Morocco.ORCID 0000-0002-2564-2101
Johannes Alexander LobrinusGeneva University Hospitals, Switzerland.
Lamyaa SemlilHassan II Regional Hospital, Dakhla, Morocco.
Nicolas ChauveauGeneva University Hospitals, Switzerland.
Abdelaziz AjrinijaHassan II Regional Hospital, Dakhla, Morocco.
Kristof EgervariGeneva University Hospitals, Switzerland.
Zine Elabidine EnnhailiHassan II Regional Hospital, Dakhla, Morocco.
Centre Hospitalier Universitaire Hassan II · MAUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-mediated necrotizing myopathy (IMNM) is a rare subtype of idiopathic inflammatory myopathy that is characterized by severe subacute proximal weakness, myofiber necrosis, and significantly elevated serum creatine kinase. Anti-signal recognition particle (SRP) and anti-3-hydroxy-3-methylglutaryl-coenzyme-A reductase autoantibodies have been found in about two-thirds of patients with IMNM. This myopathy is usually idiopathic and there is a scarce literature concerning its association with connective tissue diseases. Herein, we report an unusual case of a young woman who presented with both rheumatoid arthritis and severe anti-SRP IMNM. Thankfully to a therapeutic protocol combining rituximab and cyclophosphamide, an important improvement was achieved, and notably no serious side effect was observed.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesMuscular DiseasesMyositisFemaleHumansSignal Recognition ParticleSignal Recognition Particleanti-signal recognition particle antibodiescyclophosphamideimmune-mediated necrotizing myopathypathologyrheumatoid arthritisrheumatologyrituximab

Identifiers

PMID38353222
PMCPMC10868492
OpenAlexW4391813685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.