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Record W4379232268 · doi:10.1177/11795476231174196

Muscular Weakness with Calcinosis Cutis_A Case of Juvenile Dermatomyositis in a South Asian Male

2023· article· en· W4379232268 on OpenAlexaff
Qaisar Ali Khan, Faiza Amatul Hadi, Tahmina Khan, Michelle Anthony, Christopher Farkouh, Parsa Abdi, Harshawardhan Pande, Harsimran Singh

Bibliographic record

VenueClinical Medicine Insights Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsJuvenile dermatomyositisMedicineDermatomyositisCalcinosis cutisCalcinosisCutisDermatologyPathologyCalcification

Abstract

fetched live from OpenAlex

Background: Juvenile dermatomyositis (JDM) is an autoimmune connective tissue disorder characterized by an inflammation of proximal muscles of both upper and lower limbs in children below the age of 18 years. The condition mainly involves the proximal muscles and skin but extra-muscular involvement such as the gastrointestinal tract, lungs, and heart are also common. Case presentation: We present a case of a 12-year-old south Asian male who developed weakness and muscular pain in all 4 extremities at 3 years of age. The condition gradually worsened recently, and the patient developed tender ulcerated skin nodules. Power in all 4 limbs was decreased and the patient was not able to perform his routine work such as combing of hair, closing a shirt button, and walking. Laboratory investigations revealed raised total leukocyte count (TLC) and erythrocyte sedimentation rate (ESR) and biopsy of the proximal muscles and skin lesions showed focal mild necrotic infiltrate involving nonnecrotic muscle fibers and calcinosis cutis respectively. A diagnosis of JDM was made and the patient was started on immunosuppressive therapy (steroids) and diltiazem. Conclusion: JDM shares clinical features with other autoimmune, genetic, and inflammatory conditions. Proper history, thorough clinical examination, and laboratory workup is needed to rule out other masquerading conditions. This case report also highlighted the importance of diltiazem in the treatment of calcinosis cutis which is more commonly seen in patients with dermatomyositis.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.336
Teacher spread0.304 · 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
Published2023
Admission routes1
Has abstractyes

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