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Record W3002976979 · doi:10.1186/s13223-019-0401-y

Type II acquired cutis laxa associated with recurrent urticarial vasculitis: brief report

2020· article· en· W3002976979 on OpenAlexvenueno aff
Amelia Nabatanzi, Siqi Da, Musa Male, Siyuan Chen, Changzheng Huang

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2020
Typearticle
Languageen
FieldMedicine
TopicSympathectomy and Hyperhidrosis Treatments
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsCutis laxaMedicineDermatologyDermisHyperpigmentationItchingSkin biopsyFamily historyPathologyMedical historyBiopsySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Cutis laxa is a connective tissue disease characterized by loose, wrinkled, and redundant skin. It is either inherited or acquired. In most cases, acquired cutis laxa is associated with neoplasms, drugs, and autoimmune diseases. We present a rare case of acquired cutis laxa following a recurrent urticaria-like eruption in the absence of an autoimmune disease, neoplasm, drugs and or syndrome. CASE PRESENTATION: We report a case of a 45-year-old Chinese lady with a 1-year history of widespread pruritic urticarial eruption and a 6-month history of progressive skin wrinkling. On examination, the patient appeared older than her actual age, with apparent wrinkling on the mid-torso with generalized smooth, erythematous macules and wheals. A family history of similar conditions was absent. Biopsy revealed hypersensitivity and atrophy. Following the Food and Drug Administration (FDA) guidelines, we administered antihistamines, which relieved the itching, but her hyperpigmentation and cutis laxa never improved. CONCLUSION: Our case shows that the decrease of elastic fibers may be associated with the infiltration of inflammatory cells in the dermis. This supports the hypothesis that chemical mediators may play a major role in the destruction of elastic fibers, thus causing cutis laxa. In addition, we advise practitioners to take a complete clinical and family history to determine if the condition is inherited or acquired.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.036
GPT teacher head0.310
Teacher spread0.273 · 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 designObservational
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

Citations12
Published2020
Admission routes1
Has abstractyes

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