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Record W2071992073 · doi:10.1586/ers.10.46

Management of airway hemangiomas

2010· review· en· W2071992073 on OpenAlexfundno aff
Karthik Balakrishnan, Jonathan A. Perkins

Bibliographic record

VenueExpert Review of Respiratory Medicine · 2010
Typereview
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsMedicineAirwayIntensive care medicineInfantile hemangiomaGold standard (test)HemangiomaStandardizationSurgeryRadiology

Abstract

fetched live from OpenAlex

Airway infantile hemangiomas can cause life-threatening airway compromise from the first year of life. Diagnosis, treatment protocols and outcome measures are not standardized for this condition, making systematic assessment of treatments and outcomes difficult. This article summarizes the treatment options in use and provides an overview of their benefits and drawbacks. It also emphasizes the need for further investigation in this field and discusses the standardization that is required for such research to proceed in a useful manner. The article is divided into discussions of airway infantile hemangioma in general, medical therapy and surgical therapy. It concludes with predictions about the near future of airway infantile hemangioma research and therapy.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
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)0.0020.000

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 head0.055
GPT teacher head0.398
Teacher spread0.343 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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