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Record W2073804035 · doi:10.1097/mot.0b013e3282ef7bc5

Living-donor lobar lung transplantation

2007· article· en· W2073804035 on OpenAlexaboutno aff
Hiroshi Date, Masaomi Yamane, Shinichi Toyooka, Takahiro Oto, Yoshifumi Sano

Bibliographic record

VenueCurrent Opinion in Organ Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLung transplantationTransplantationLungIdiopathic pulmonary fibrosisCystic fibrosisOrgan donationSurgeryEconomic shortageIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Purpose of review To address the donor shortage issue, living-donor lobar lung transplantations have been performed in some institutions. This paper will review the current status of living-donor lobar lung transplantation. Recent findings Up to 2006, living-donor lobar lung transplantation has been performed in approximately 300 patients worldwide. As only two lobes are transplanted, cystic fibrosis represents the most common indication for living-donor lobar lung transplantation, because patients are usually small in body size. Indications for living-donor lobar lung transplantation have recently been expanded to include paediatric and adult patients with various lung diseases such as idiopathic pulmonary fibrosis and pulmonary arterial hypertension. Survival appears to be similar to or better than International Society for Heart and Lung Transplantation registry data on cadaveric lung transplantation. Living-donor lobar lung transplantation may improve survival after paediatric lung retransplantation. The Vancouver Forum Lung Group proposed the eligibility criteria for living lobar donation. Summary This procedure can be applied to restrictive, obstructive, infectious, and hypertensive lung diseases for both paediatric and adult patients. As a result of the possible serious complications after donor lobectomy, living-donor lobar lung transplantation should be performed only for very sick patients by a well-prepared programme.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.043
GPT teacher head0.382
Teacher spread0.339 · 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 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

Citations5
Published2007
Admission routes1
Has abstractyes

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