Evidence map›Paper›PMID 41984142›Full record

ReviewCurrent rheumatology reports2026

Myositis Mimics: Recognizing Red Flags and Diagnostic Pitfalls.

Bhaskar Roy, Latika Gupta, Teerin Liewluck

Abstract readReview
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In one paragraph

Review in Current rheumatology reports, 2026. 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
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.

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

3 authors.

Bhaskar RoyDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Latika GuptaSchool of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Teerin LiewluckDepartment of Neurology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA. Liewluck.Teerin@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: This review aims to provide clinicians with a practical framework for distinguishing idiopathic inflammatory myopathies (IIMs) from their numerous non–immune-mediated mimics, including hereditary, toxic, metabolic, and endocrine myopathies, by integrating clinical, serologic, imaging, electrophysiologic, and histopathologic clues. Recent Findings: IIMs represent a heterogeneous group of immune-mediated muscle diseases. Despite major advances in antibody discovery, imaging, and classification criteria, accurate diagnosis remains challenging because many non-immune-mediated myopathies can mimic IIMs. Such resemblance may lead to misdiagnosis, delay in genetic evaluation, prolonged exposure to offending agents in toxic myopathy, and unnecessary treatment with immunosuppressive therapy that carries significant adverse effects. The temporal course of weakness, pattern of muscle involvement, presence of extramuscular manifestations, and ancillary testing offer important diagnostic clues, but none are pathognomonic when interpreted in isolation. We introduce the mnemonic “MYOSITIS” to summarize key diagnostic red flags that should raise concern for mimicking disorders: Myopathic motor unit potentials without fibrillation potentials, Young age of symptom onset or positive family history, Onset atypical for IIMs, Seronegative or weakly positive myositis specific autoantibodies, Iatrogenic causes, Treatment refractoriness, Irregular weakness patterns, and Systemic features. Summary: Recognizing these pitfalls and adopting an integrated diagnostic approach that combines clinical pattern recognition with selective use of serologic, imaging, and genetic testing can help clinicians differentiate true IIMs from their mimics and ensure timely, accurate diagnosis and optimal patient management.

Indexed as

DiagnosisInflammatory myopathyMuscular dystrophyMyositisMyositis mimics

Identifiers

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Registered trials

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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.