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Record W4293147698 · doi:10.1055/s-0042-1747733

Effects of nintedanib in patients with progressive fibrosing interstitial lung disease associated with rheumatoid arthritis (RA-ILD) in the INBUILD trial*

2022· article· en· W4293147698 on OpenAlexaff
D Koschel, Clive Kelly, E. L. Matteson, Martin Aringer, Gerd R Burmester, Heiko Mueller, L Moros, K B Rohr, Martin Kolb

Bibliographic record

VenuePneumologie · 2022
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsRheumatoid arthritisInterstitial lung diseaseMedicineNintedanibLungDiseaseInternal medicinePathologyIdiopathic pulmonary fibrosis

Abstract

fetched live from OpenAlex

Background In the INBUILD trial with progressive fibrosing ILDs other than idiopathic pulmonary fibrosis (IPF), nintedanib reduced the FVC decline (mL/year) over 52 weeks by 57% versus placebo. Objectives To assess the rate of decline in FVC in subjects with RA-ILD in INBUILD. Methods Subjects had a chronic fibrosing ILD other than IPF, reticular abnormality with traction bronchiectasis (with or without honeycombing) of >10% on HRCT, FVC ≥45% predicted, DL CO ≥30%–<80% predicted, and met criteria for progression of ILD within the 24 months before screening, despite appropriate management in clinical practice. Patients taking stable doses of approved medications to treat RA or connective tissue disease could participate, except those taking azathioprine, cyclosporine, mycophenolate mofetil, tacrolimus, rituximab, cyclophosphamide, or oral glucocorticoids >20 mg/day. We analysed the FVC decline (mL/year) over 52 weeks and adverse events (AEs) in RA-ILD. Results 663 subjects received trial medication, 89 had RA-ILD (42 nintedanib, 47 placebo), 60.7% were male, 64.0% were current or former smokers, 86.5% had a usual interstitial pneumonia (UIP)-like pattern on HRCT; 93.3% had rheumatologist confirmed RA diagnosis. At baseline, 21.3% were taking biologic disease-modifying anti-rheumatic drugs (DMARDs), 53.9% non-biologic DMARDs and 73.0% glucocorticoids (≤20 mg/day prednisone or equivalent). Mean (SD) age was 66.9 (9.6) years, time since RA-/ILD diagnosis was 9.9 (9.4)/ 3.6 (3.2) years, FVC 71.5 (16.2) % predicted and C-reactive protein 13.7 (22.5) mg/L. Consistent with the overall trial population the adjusted mean (SE) FVC decline over 52 weeks was -82.6 (41.3) mL/year with nintedanib vs. -199.3 (36.2) mL/year with placebo (difference 116.7 mL/year [95% CI 7.4, 226.1]; p=0.037) (Figure) and the most common AE in RA-ILD was diarrhoea (reported in 54.8% of the nintedanib and 25.5% of the placebo group). AEs led to permanent discontinuation of trial drug in 19.0% of subjects in nintedanib and 12.8% in placebo group. Conclusions In INBUILD, nintedanib slowed the FVC decline in patients with progressive fibrosing RA-ILD, with AEs that were manageable for most patients. The efficacy and safety of nintedanib in subjects with RA-ILD were consistent with those observed in the overall trial population. Presented at EULAR 2021 Abb. 1 presented at EULAR 2021, presenting on behalf of the authors. Publication History Article published online: 11 May 2022 © 2022. Thieme. All rights reserved. Georg Thieme Verlag Rüdigerstraße 14, 70469 Stuttgart, Germany

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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