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Record W4409783937 · doi:10.1186/s12969-025-01098-z

Imaging assessment of calcinosis in juvenile dermatomyositis: a narrative review

2025· review· en· W4409783937 on OpenAlexaff
Belina Y. Yi, Jessica Perfetto, Evin Rothschild, Kelly Rouster‐Stevens, Amanda Robinson, Kathryn Cook, Delaney D Ding, A Child, Ovgu Kul Cınar, Barbara Limbach, Charalampia Papadopoulou, Lesley Ann Saketkoo, Adam Schiffenbauer, Heinrike Schmeling, Antonia Valenzuela, Susan Shenoi, Dawn M. Wahezi

Bibliographic record

VenuePediatric Rheumatology · 2025
Typereview
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsUniversity of CalgaryCanadian Arthritis Patient Alliance
FundersNational Institutes of Health
KeywordsJuvenile dermatomyositisMedicineCalcinosisRheumatologyMagnetic resonance imagingRadiologyDermatomyositisJuvenileDermatologyPathologyCalcification

Abstract

fetched live from OpenAlex

Calcinosis is a severe manifestation of juvenile and adult idiopathic inflammatory myopathies, which can lead to pain, limited range of motion, disfigurement, and infection. It is more common in juvenile idiopathic inflammatory myopathies, especially in juvenile dermatomyositis (JDM). Calcinosis can be visible on cutaneous surfaces, although can also present in muscles and internal organs, making a thorough assessment difficult without imaging modalities. In this narrative review, we discuss different imaging modalities used in evaluating JDM-associated calcinosis including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US).

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.363
Teacher spread0.350 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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