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Record W4412816951 · doi:10.1016/j.jhlto.2025.100347

Worldwide practices in pulmonary function test reporting after lung transplantation

2025· article· en· W4412816951 on OpenAlexaffabout
Jens Gottlieb, Erika D. Lease, Merel E. Hellemons, K. Halloran, Tereza Martinu

Bibliographic record

VenueJHLT Open · 2025
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsUniversity of TorontoUniversity Health NetworkUniversity of Alberta
Fundersnot available
KeywordsLung transplantationPulmonary function testingTransplantationMedicineTest (biology)Lung functionLungIntensive care medicineInternal medicineBiology

Abstract

fetched live from OpenAlex

Background: Spirometry interpretation after lung transplantation (LTx) is complex, requiring a clear understanding of reference values and normal thresholds globally. Abnormal values are typically based on general population reference standards. Methods: In April 2025, a 10-question online survey was conducted among International Society of Heart and Lung Transplantation-members to determine the reference values and normal thresholds used worldwide for post-transplant spirometry interpretation. Results: Responses from 58 centers, covering 22,080 lung transplant recipients and representing ∼40% of global transplant activity, were analyzed. Most patients (63%) were followed in the United States or Canada. Global lung initiative (GLI) reference was used for 60%, with 47% using the race-neutral version. The lower limit of normal (LLN) was reported in only 19% of pulmonary function assessments. Regional differences were noted in obstruction definition and impairment grading. Conclusions: While GLI-reference values are widely adopted, 40% of centers have yet to implement them, and LLN remains underutilized in spirometry reporting after LTx.

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)0.001
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 score0.126
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.053
GPT teacher head0.422
Teacher spread0.369 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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