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Record W4414121563 · doi:10.7759/cureus.92072

Beyond the Blot: Diagnostic Challenges in Atypical Dermatomyositis With Overlapping Myasthenia Gravis

2025· article· en· W4414121563 on OpenAlexaff
Veena Jayaramu, Sankar Ram Ragasankar, Sadiya S. Khan, Vivek Dubey

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsASTER
Fundersnot available
KeywordsMyasthenia gravisDermatomyositisMyositisAutoantibodyDysphagiaAutoimmunityOverlap syndrome

Abstract

fetched live from OpenAlex

Dermatomyositis (DM) is a rare autoimmune inflammatory myopathy characterized by both cutaneous and muscular involvement, often associated with specific autoantibodies and systemic manifestations. This case report presents a young male patient in the United Kingdom with DM, who had a negative myositis blot, panel of autoantibodies, and also had features of myasthenia gravis (MG). Despite trials of multiple immunosuppressive therapies, severe dysphagia persisted. This case underscores the diagnostic complexity of autoimmune neuromuscular disorders and the importance of early consideration of overlap syndromes when clinical features deviate from the classical DM phenotype and bulbar involvement is present. In a healthcare setting where patients may present with diverse and complex autoimmune profiles, this case highlights the need for vigilance and early recognition of rare overlaps such as DM and MG, which is crucial for optimizing patient care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0030.005
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.249
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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