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Record W4396809293 · doi:10.1002/jvc2.443

Cutaneous manifestations of anti‐synthetase syndrome: Case series and literature review

2024· article· en· W4396809293 on OpenAlexaff
Airiss R. Chan, Mohamed A. Osman, Elaine Yacyshyn, Robert Gniadecki

Bibliographic record

VenueJEADV Clinical Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSeries (stratigraphy)DermatologyMedicineBiologyPaleontology

Abstract

fetched live from OpenAlex

Abstract Background Anti‐synthetase syndrome (ASyS) is a rare inflammatory myopathy associated with anti‐aminoacyl transfer RNA synthetase antibodies, and is characterized by a triad of interstitial lung disease, arthritis, and myopathy. ASyS has been considered to represent a subtype of dermatomyositis (DM), however it is not clear whether cutaneous findings overlap in both diseases. Objectives We aimed to characterize mucocutaneous features which should raise suspicion of ASyS and prompt early diagnostic testing. Methods We reviewed 28 cases of ASyS in our institution, and retrieved data from 43 articles reporting clinical features of ASyS in the literature. Results Dermatologic manifestations of ASyS can be categorized as: specific cutaneous signs strongly associated with ASyS (‘Mechanic's hands’, ‘Hiker's feet’); mucocutaneous signs overlapping with other collagenoses; nailfold changes (resembling those of DM and systemic sclerosis); and mucocutaneous signs of undetermined significance. Only 20% had pathognomonic DM signs. Conclusions Dermatologic manifestations of ASyS are heterogeneous and do not always reproduce the pattern seen in DM. Presence of palmar hyperkeratosis (‘Mechanic's hands’), cuticular overgrowth, skin ulcerations and nailfold capillary changes should prompt further diagnostic workup of ASyS. Limitations of our study include inconsistent reporting of dermatologic findings within our series between virtual and in‐person visits. Not all patients were seen in dermatology consultation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.208
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.390
Teacher spread0.367 · 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 teacher head, 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

Citations2
Published2024
Admission routes1
Has abstractyes

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