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Record W4400132409 · doi:10.1016/j.atssr.2024.06.013

Noninflammatory Causes of Pulmonary Edema During Ex Vivo Lung Perfusion

2024· article· en· W4400132409 on OpenAlexaff
Jennifer Whiteley, Hongchao Shan, Jonathan Yeung

Bibliographic record

VenueAnnals of Thoracic Surgery Short Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsEx vivoPulmonary edemaLungMedicinePerfusionEdemaIn vivoCardiologyInternal medicinePathologyBiology

Abstract

fetched live from OpenAlex

Ex vivo lung perfusion (EVLP) is used to evaluate donor lungs prior to lung transplantation. Development of pulmonary edema during EVLP is generally thought to represent inflammatory breakdown of the air-fluid barrier and these lungs are declined for transplant. We present the case of a donor lung that underwent stapled wedge resection during cold storage for air leak and the subsequent development of profound (∼650 mL) pulmonary edema around the staple line during EVLP. Nevertheless, the edema cleared shortly after implantation. This report illustrates the potential for significant alveolar fluid clearance and sealing of vascular injury after implantation when edema is not caused by inflammatory injury.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.398
Teacher spread0.334 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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