Evidence map›Paper›PMID 36661254›Full record

ArticleJournal of investigative medicine high impact case reports

Leflunomide-Induced Immune-Mediated Necrotizing Myopathy in a Patient With Rheumatoid Arthritis: A Case Report.

Dylan Matthew Salazar, Devanshi Narendra Damani, Piya Kositangool, Melina Jo Ortiz, Jonathan Lavezo, Fatma Dihowm

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Dylan Matthew SalazarTexas Tech University Health Sciences Center El Paso, USA.ORCID 0000-0001-8143-3331
Devanshi Narendra DamaniTexas Tech University Health Sciences Center El Paso, USA.
Piya KositangoolTexas Tech University Health Sciences Center El Paso, USA.
Melina Jo OrtizTexas Tech University Health Sciences Center El Paso, USA.
Jonathan LavezoTexas Tech University Health Sciences Center El Paso, USA.
Fatma DihowmTexas Tech University Health Sciences Center El Paso, USA.
Texas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-mediated necrotizing myopathy (IMNM) is a subtype of inflammatory myopathy that is characterized by proximal muscle weakness, markedly elevated serum creatine kinase, myopathic electromyographic findings, and muscle biopsies revealing necrosis or regeneration with sparse inflammatory infiltrate. IMNM tends to be idiopathic but has been associated with certain medications. This supports the possibility for other pharmacotherapies to induce IMNM-particularly leflunomide. Leflunomide is used in the treatment for rheumatoid arthritis and has been shown to induce autoimmune diseases-including autoimmune hepatitis and polymyositis. After an extensive review of history and workup of muscle weakness, we conclude that leflunomide induced an IMNM in our patient. As this is the first case of leflunomide-induced IMNM, it is important for clinicians to suspect an inflammatory myopathy in the setting of myositis while on leflunomide.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesMyositisHumansLeflunomideMuscle, SkeletalMuscle WeaknessLeflunomideadverse effectimmune-mediated necrotizing myopathyinflammatory myopathyleflunomidemyositis-specific autoantibodyrheumatoid arthritis

Identifiers

PMID36661254
PMCPMC9871974
OpenAlexW4317538622

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.