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Record W2063351187 · doi:10.1513/pats.200808-083go

Surgical Techniques: Lung Transplant and Lung Volume Reduction

2009· review· en· W2063351187 on OpenAlexaffabout
Carlos Henrique Ribeiro Boasquevisque, Erkan Yi̇ldi̇ri̇m, Thomas Waddel, Shaf Keshavjee

Bibliographic record

VenueProceedings of the American Thoracic Society · 2009
Typereview
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineLungLung volume reductionLung transplantationLung volumesReduction (mathematics)Lung volume reduction surgerySurgeryIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Patients with end-stage emphysema can be offered lung volume reduction surgery (LVRS), lung transplantation, or unilateral lung transplantation combined with contralateral LVRS if necessary, depending on multiple factors including age, lung function parameters, lobar predominance, and whether the disease is uni- or bilateral. Lung transplant is a complex and well-established therapeutic modality for patients with end-stage lung disease. The ideal candidate for LVRS is a patient with severe upper-lobe predominant emphysema and markedly impaired exercise capacity. Other groups may benefit from the procedure, but results are likely to be less good. The objective of this chapter is to describe the surgical techniques of bilateral lung transplantation and lung volume reduction surgery as performed at the University of Toronto.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.402
Teacher spread0.365 · 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 designOther design
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

Citations61
Published2009
Admission routes2
Has abstractyes

Explore more

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