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Record W2590658872 · doi:10.1177/2513826x1500100106

Management of a Rare Case of Multiple Arteriovenous Malformations in the Context of Neurofibromatosis Type 2

2015· article· en· W2590658872 on OpenAlexaffvenue
Julie Beveridge, Frankie O. G. Fraulin, U. Amendy

Bibliographic record

VenuePlastic Surgery Case Studies · 2015
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsLabia majoraMedicineContext (archaeology)SurgeryNeurofibromatosisThighEmbolizationRadiologyArteriovenous malformationVulva

Abstract

fetched live from OpenAlex

The present article describes a 15-year-old girl with two arteriovenous malformations (AVMs) — on her left labia majora and left thigh — in association with genetically confirmed de-novo neurofibromatosis type 2. This patient's labia majora AVM was particularly difficult to treat using embolization techniques. She experienced numerous complications including pulmonary edema, venous thromboemboli, severe local area necrosis and a damaged anal sphincter. She required surgical debridement and reconstruction of her suprapubic and perineal regions. The left thigh AVM was later treated using a combination of embolization and surgical resection with no complications. Six years later, she is doing well. To the authors’ knowledge, the present report is the only case of neurofibromatosis type 2 associated with extracranial arteriovenous malformations described in the literature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.067
GPT teacher head0.292
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2015
Admission routes2
Has abstractyes

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