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Record W4411492202 · doi:10.1097/asw.0000000000000309

Bullous Pemphigoid: Clinical Aspects and Treatments

2025· review· en· W4411492202 on OpenAlexaff
Ryan S Q Geng, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2025
Typereview
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsMedicineBullous pemphigoidPemphigoidDermatologyEpidemiologyIndirect immunofluorescenceDiseasePopulationIntensive care medicineImmunologyAntibodyInternal medicine

Abstract

fetched live from OpenAlex

ABSTRACT Bullous pemphigoid (BP) is the most common subepidermal blistering disease. It is typically observed in the older adult population and rarely in children. Classic BP is characterized by tense blisters filled with clear or hemorrhagic fluid on normal skin or erythematous base with predilection for flexor surfaces. The criterion standard for diagnosing BP is with direct immunofluorescence for detection of linear deposition of immunoglobulin G or C3 at the dermoepidermal junction and/or indirect immunofluorescence for immunoglobulin G at the basement membrane zone. Treatments with efficacy in treating BP rely on anti-inflammatory or immunosuppressive properties, with corticosteroids being the primary choice of treatment. This review focuses on the clinical presentation, epidemiology, risk factors, and treatment options for BP. GENERAL PURPOSE: To review the risk factors and clinical features of bullous pemphigoid (BP) and discuss available treatment options. TARGET AUDIENCE This continuing education activity is intended for physicians, physician assistants, nurse practitioners, and registered nurses with an interest in skin and wound care. LEARNING OBJECTIVES/OUTCOMES: After participating in this educational activity, the participant will: 1. Summarize the clinical features and manifestations associated with BP. 2. Identify evidence-based methods to diagnose BP. 3. Explain evidence-based pharmacologic management strategies for the effective treatment of BP.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.419
Teacher spread0.397 · 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 designOther design
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

Citations0
Published2025
Admission routes1
Has abstractyes

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