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Record W3029749397 · doi:10.21037/jtd.2020.04.39

Brachiocephalic vein aneurysm: a systematic review of the literature

2020· review· en· W3029749397 on OpenAlexaff
Quynh Nguyen, Jacqueline K. Olive, Dominique Vervoort, Kevin Phan, Jessica G.Y. Luc

Bibliographic record

VenueJournal of Thoracic Disease · 2020
Typereview
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
Fundersnot available
KeywordsMedicineAneurysmRadiologyVeinBrachiocephalic veinSurgerySuperior vena cava

Abstract

fetched live from OpenAlex

Brachiocephalic vein aneurysms are rare lesions with only 36 cases reported in the literature. They usually present incidentally as mediastinal widening on chest X-ray, with thromboembolism or mass effect on adjacent structures, or rupture. Imaging is usually sufficient to identify and characterize the aneurysm, however, certain diagnostic pitfalls can lead to misinterpretation and misdiagnosis. Exploratory surgery is sometimes needed to confirm diagnosis. Brachiocephalic vein aneurysms have been treated both conservatively with watchful waiting, antithrombotic therapy or anticoagulation as well as surgically depending on patient presentation and aneurysm characteristics. Endovascular treatment is also becoming a therapeutic option. Prognosis following surgical treatment is excellent with no reported cases of recurrence. The present systematic review aims to describe the etiology, clinical presentation, diagnosis, management and outcomes of brachiocephalic vein aneurysms.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0100.010
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.381
Teacher spread0.356 · 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 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

Citations14
Published2020
Admission routes1
Has abstractyes

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