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Record W4231290537 · doi:10.4021/jmc118w

Iron Lady: A Case of Eosinophilic Fasciitis

2011· article· en· W4231290537 on OpenAlexvenueno aff
Diana Valadares

Bibliographic record

VenueJournal of Medical Cases · 2011
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Disorders and Syndromes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEosinophilic fasciitisEosinophiliaDermatologySkin biopsyPhysical examinationDeep fasciaFasciitisEosinophilicFasciaPathologyInfiltration (HVAC)BiopsyErythemaSurgery

Abstract

fetched live from OpenAlex

Eosinophilic Fasciitis is a rare rheumatologic disease usually characterized by erythema and limbs’ pain, cutaneous induration and peripheral eosinophilia. However, it is important to consider Eosinophilic Fasciitis in differential diagnosis of others scleroderma-like syndromes. The authors present a case of a 52-year-old woman who presented to our hospital with a four months evolution of limb and trunk diffuse symmetrical cutaneous induration, thickening of the skin without joint involvement and no history of Raynaud's phenomenon. On physical examination, she had a grade 3 skin thickening in the involved segments. Laboratory studies revealed no peripheral eosinophilia. The biopsy showed fibrotic involvement of muscle and fascia, with a few inflammatory infiltrations of lymphocytes. She started prednisolone 1 mg/kg/day, with partial regression of cutaneous injuries. As Eosinophilic Fasciitis is so rare, its recognition can be difficult, especially when the patient is observed at a late stage where the peripheral eosinophilia and inflammatory infiltration in the histology are usually no longer present. A clinical history and a detailed physical examination, especially with the presence of orange peel skin, are the fundamental clues for the diagnosis. J Med Cases. 2011;2(1):34-36 doi: https://doi.org/10.4021/jmc118w

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.198
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.310
Teacher spread0.260 · 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.

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
Published2011
Admission routes1
Has abstractyes

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