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Record W4387663274 · doi:10.1111/pde.15444

Clinical characteristics of infantile hemangiomas with aggressive, persistent, and destructive ulceration

2023· article· en· W4387663274 on OpenAlexaff
Ilona J. Frieden, Sonal D. Shah, Patricia M. Witman, Katya Harfmann, Flora Bradley, Francine Blei, Elena Pope, Anwar Alsumait, Deepti Gupta, Isabela Covelli, Jenna L. Streicher, Colleen Cotton, Megha M. Tollefson, Henry Nguyen, Raegan Hunt, Amy Buros, Esteban Fernández Faith

Bibliographic record

VenuePediatric Dermatology · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersPediatric Dermatology Research Alliance
KeywordsMedicineInfantile hemangiomaTrunkHemangiomaDermatologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: Ulceration is a common complication of infantile hemangioma (IH). Severe, persistent ulceration occurs in a minority of patients. This study aims to characterize the clinical features of IH with aggressive ulceration (AU). METHODS: Multicenter retrospective study of clinical features of IH with AU. RESULTS: ; 16/23, 69%, p < .001) with a thin (<3 mm) superficial component (16/23, 69%, p < .001). Localized IH with AU had a thick (>3 mm) superficial component (11/12, 92%, p < .001). All diaper area IH with AU (9/35) were segmental with thin superficial component (100%, p = .02). IH with AU in the head/neck (10/35) were more commonly localized (67%) and mixed (62.5%), while segmental, thick superficial morphology was more common on trunk (9/35) and upper extremities (7/35). CONCLUSIONS: IH resulting in AU differ in clinical features by anatomic site. Those in the diaper area are nearly always segmental with thin superficial component, whereas other sites tend to be localized, mixed, with thick superficial component. These distinct phenotypes may prove useful in the clinical setting for physicians to identify patterns of IH ulceration with increased risk of aggressive, persistent ulceration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.288
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

Citations5
Published2023
Admission routes1
Has abstractyes

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