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Record W1988898636 · doi:10.2217/ahe.09.77

Lung Transplantation in the Older Adult

2009· article· en· W1988898636 on OpenAlexaboutno aff
Christine L. Lau, Melissa Logan, Irving L. Kron

Bibliographic record

VenueAging Health · 2009
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineImmunosuppressionLung transplantationLungIntensive care medicineTransplantationIdiopathic pulmonary fibrosisTacrolimusDiseaseLung diseaseSurgeryInternal medicine

Abstract

fetched live from OpenAlex

The first long-term, successful, human-isolated lung transplant was performed in 1983 by the Toronto Lung Transplant Group. Two and a half decades have passed since this landmark procedure and almost 19,000 lung transplants have been performed. At present, lung transplantation is the preferred treatment option for a variety of end-stage pulmonary diseases. Remarkable progress has occurred through refinement in technique and improved understanding of transplant immunology and microbiology. Elderly lung transplant recipients usually undergo transplantation for chronic obstructive pulmonary disease or idiopathic pulmonary fibrosis and face unique challenges. It is increasingly evident that ‘biologic age’ is more important than actual recipient age. Postoperative immunosuppression regimens and education require greater individualization in elderly adults owing to the increased risk for infection and greater risk involved with complications. A multidiscipliniary approach to lung transplantation, especially in the older adult, requires an in-depth knowledge of transplant-related issues, an awareness of geriatric issues, and access to decision and educational support.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.021
GPT teacher head0.386
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.

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

Citations0
Published2009
Admission routes1
Has abstractyes

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