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Record W4412626590 · doi:10.1183/23120541.00055-2025

Impact of reference equations on lung function and outcomes in fibrotic interstitial lung disease

2025· article· en· W4412626590 on OpenAlexaff
Veronica Marcoux, Prosanta Mondal, Ayodeji Adegunsoye, Deborah Assayag, Jolene H. Fisher, Nathan Hambly, Nasreen Khalil, Martin Kolb, S.D. Lok, H. Manganas, Sana Vahidy, Christopher J. Ryerson, Kerri A. Johannson, Yet H. Khor

Bibliographic record

VenueERJ Open Research · 2025
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of British ColumbiaSt. Paul's HospitalMcMaster UniversityUniversity of TorontoUniversity of CalgaryCentre Hospitalier de l’Université de MontréalMcGill UniversitySaskatchewan Health AuthorityUniversity of AlbertaUniversity of Saskatchewan
FundersNational Heart, Lung, and Blood InstituteNational Health and Medical Research Council
KeywordsMedicineInterstitial lung diseaseLung functionLungLung diseaseDiseasePathologyFibrosisInternal medicine

Abstract

fetched live from OpenAlex

Background The impact of applying different lung function reference equations and interpretation methods in fibrotic interstitial lung disease (ILD) is poorly understood. We aimed to evaluate disease severity classification, trajectories and prognostic significance of percent-predicted and z-scores of forced vital capacity (FVC) and diffusing capacity of the lung for carbon monoxide ( D LCO ) using the Global Lung Function Initiative (GLI) reference equations in patients with fibrotic ILD, compared to registry-recorded values. Methods Serial lung function measurements of 5026 patients from three prospective registries were used to calculate percent-predicted and z-scores using 2012- and 2023-GLI FVC reference equations and 2017-GLI D LCO reference equations, which were compared with registry-recorded values. Differences for baseline and longitudinal assessments, classification for lung function impairment severity and progression, and association with transplant-free survival and performance of the ILD-Gender-Age-Physiology model with external validation were assessed. Results Baseline FVC and D LCO percent-predicted values were consistently higher using the 2012- and 2023-GLI FVC and 2017-GLI D LCO reference equations compared to registry-recorded values. The agreements for all percent-predicted reference equations were good for lung function severity classification (unweighted κ for FVC 0.69–0.76, D LCO 0.70), but only moderate for the counterpart z-scores (FVC 0.41–0.50, D LCO 0.45). The largest 1-year declines were observed using the 2023-GLI FVC reference equations and the 2017-GLI D LCO reference equations. Lower baseline GLI and registry-recorded FVC and D LCO values were associated with worse transplant-free survival and had similar performance for risk stratification, except for a lack of association of baseline 2023-GLI FVC percent-predicted and z-scores for adjusted analyses in the non-White cohort. Conclusions Use of different lung function reference equations and interpretation methods may impact disease severity classification and longitudinal trajectory in patients with fibrotic ILD, although prognostic significance is similar, except for 2023-GLI FVC in non-White patients.

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 score0.096
Threshold uncertainty score0.371

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 head0.077
GPT teacher head0.461
Teacher spread0.385 · 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
Published2025
Admission routes1
Has abstractyes

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