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Record W3140975371 · doi:10.7573/dic.2020-12-6

Paediatrics: how to manage infantile haemangioma

2021· review· en· W3140975371 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDrugs in Context · 2021
Typereview
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePediatricsIntensive care medicine

Abstract

fetched live from OpenAlex

Infantile haemangiomas (IHs) are relatively common benign vascular tumours found in the paediatric population. They have varying sizes and involve different depths in the skin leading to various colours, shapes and textures. Although considered harmless in most cases, they may lead to life-threatening complications or cause permanent disfigurations and organ dysfunction. For problematic IHs, the treatment options include oral and topical beta-blockers, systemic corticosteroids, laser treatment, and surgery. In this narrative review, the treatment options for problematic IH are compared and delivered concisely to facilitate the clinical decisions from practitioners, including those in primary care settings. Oral propranolol is currently considered the first-line intervention for problematic IHs. For superficial lesions, there is robust evidence for the use of topical timolol maleate. Systemic corticosteroids are sometimes used in specific situations such as resistance or contraindications to beta-blockers. Surgical excision can be considered in cases requiring urgent intervention such as airway obstruction; this can be done alongside laser therapies for the removal of residual tissue or when reconstructing areas of deformity. The combination of multiple treatment modalities may lead to a more rapid clinical response.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.032
GPT teacher head0.321
Teacher spread0.289 · 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