Nintedanib and immunomodulatory therapies in progressive fibrosing interstitial lung diseases
Bibliographic record
Abstract
BACKGROUND: In the INBUILD trial in patients with chronic fibrosing interstitial lung diseases (ILDs) and a progressive phenotype, nintedanib reduced the rate of ILD progression with adverse events that were manageable for most patients. We investigated the potential impact of immunomodulatory therapies on the efficacy and safety of nintedanib. METHODS: Subjects with fibrosing ILDs other than idiopathic pulmonary fibrosis, who had shown progression of ILD within the prior 24 months despite management in clinical practice, were randomized to receive nintedanib or placebo. Certain immunomodulatory therapies were restricted for the first 6 months. We analyzed post-hoc the rate of decline in forced vital capacity (FVC) over 52 weeks in subgroups by glucocorticoid use at baseline and in analyses excluding subjects or FVC measurements taken after initiation of restricted immunomodulatory or antifibrotic therapies. RESULTS: Of 663 subjects, 361 (54.4%) were taking glucocorticoids at baseline (353 at a dose of ≤ 20 mg/day). In the placebo group, the adjusted rate of decline in FVC (mL/year) over 52 weeks was numerically greater in subjects taking than not taking glucocorticoids at baseline (- 206.4 [SE 20.2] vs - 165.8 [21.9]). The difference between the nintedanib and placebo groups was 133.3 (95% CI 76.6, 190.0) mL/year in subjects taking glucocorticoids at baseline and 76.1 (15.0, 137.2) mL/year in subjects who were not (interaction P = 0.18). The effect of nintedanib on reducing the rate of FVC decline in analyses excluding subjects or measurements taken after initiation of restricted immunomodulatory or antifibrotic therapies was similar to the primary analysis. The adverse event profile of nintedanib was similar between subjects who did and did not use prohibited or restricted therapies at baseline or during treatment with trial drug. CONCLUSIONS: In patients with progressive fibrosing ILDs, the effect of nintedanib on reducing FVC decline was not influenced by the use of immunomodulatory therapies. Nintedanib can be used in combination with immunomodulatory therapies in patients with progressive fibrosing ILDs. Trial registration ClinicalTrials.gov, NCT02999178. Registered 21 December 2016, https://clinicaltrials.gov/ct2/show/NCT02999178.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".