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A Review of the Diagnosis and Management of Erythroderma (Generalized Red Skin)

2015· review· en· W2084197733 on OpenAlexaff
Nisha Mistry, Ambika Gupta, Afsáneh Alavi, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2015
Typereview
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsMuscular Dystrophy CanadaUniversity of Toronto
Fundersnot available
KeywordsErythrodermaMedicineDermatologyEtiologyMedical diagnosisIntensive care medicineModalitiesEmergency departmentHealth careMEDLINEPathologyNursing

Abstract

fetched live from OpenAlex

PURPOSE: To provide information about the diagnosis and management of erythroderma. TARGET AUDIENCE: This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. OBJECTIVES: After participating in this educational activity, the participant should be better able to: 1. Identify erythroderma causes, symptoms, and diagnostic testing. 2. Summarize treatment and management recommendations for erythroderma. Erythroderma is a condition caused by several etiologies that result in red inflamed skin on 90% or more of the body surface. To optimize the diagnosis and management of the erythrodermic patient, healthcare professionals should be familiar with the underlying etiologies and treatment modalities. Patients with erythroderma require immediate attention as they may face a variety of medical complications. Early detection and effective management of these complications significantly reduce mortality and morbidity of this potential dermatologic emergency. This review highlights the underlying common diagnoses, assessment, and management of the patient with erythroderma.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.663
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.366
Teacher spread0.335 · 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 designSystematic review
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

Citations76
Published2015
Admission routes1
Has abstractyes

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