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Record W2331726516 · doi:10.1097/lbr.0b013e3181e6ff7d

Major Airway Laceration Secondary to Endobronchial Ultrasound Transbronchial Lymph Node Biopsy

2010· article· en· W2331726516 on OpenAlexaff
Moïshe Liberman, André Duranceau, Jocelyne Martin, Vicky Thiffault, Pascal Ferraro

Bibliographic record

VenueJournal of Bronchology & Interventional Pulmonology · 2010
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineBiopsyLymph nodeMediastinumRadiologyEndobronchial ultrasoundAirwayBronchoscopyMediastinal lymph nodeLung cancerLymphLungBronchusSurgeryMetastasisPathologyCancerRespiratory disease

Abstract

fetched live from OpenAlex

A 48-year-old woman underwent complete mediastinal lymph node staging for non-small-cell lung cancer. After convex endobronchial ultrasound (EBUS)-guided transbronchial biopsy of the subcarinal lymph node station (station no. 7), it was noted that a laceration had occurred in the left mainstem bronchus. The tear occurred at the medial cartilaginous-membranous junction, seemed to be full thickness into the mediastinum, and was approximately 1.5cm long. The cytologic results of all lymph node biopsies were negative and the patient underwent right upper and middle lobe bilobectomy 12 hours after the EBUS procedure. This is the first report of a serious airway injury occurring during convex EBUS lymph node biopsy.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.293
Teacher spread0.283 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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