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Lung transplantation: donor and recipient critical care aspects

2005· review· en· W2001642818 on OpenAlexaff
Andrew F. Pierre, Shaf Keshavjee

Bibliographic record

VenueCurrent Opinion in Critical Care · 2005
Typereview
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineIntensive care medicineExtracorporeal membrane oxygenationLung transplantationTransplantationEconomic shortageIntensive care unitLungPerioperativePsychological interventionSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this paper is to highlight new developments in donor and recipient lung transplant issues for the critical care physician. RECENT FINDINGS: A shortage of suitable lung donors has led to the use of extended donors and the development of novel techniques such as live-donor lung transplantation and the use of non-heart-beating donors. The increased experience and success with lung transplantation has also resulted in the extension of this therapy to patients previously considered unsuitable for transplantation. Postoperative outcomes can be affected by many of these recent donor and recipient changes. Improved preservation solutions and techniques to reduce reperfusion injury may be able to ameliorate some of the new perioperative graft dysfunction, but morbidity is still potentially significant, and extraordinary interventions such as extracorporeal membrane oxygenation may be required in selected cases. SUMMARY: Patients undergoing lung transplantation continue to be very challenging in the intensive care unit. A multidisciplinary approach to care, and early recognition of serious problems, will help improve outcomes.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.265
GPT teacher head0.548
Teacher spread0.282 · 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 designNot applicable
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

Citations23
Published2005
Admission routes1
Has abstractyes

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