Nintedanib and Sildenafil in Patients with Idiopathic Pulmonary Fibrosis and Right Heart Dysfunction. A Prespecified Subgroup Analysis of a Double-Blind Randomized Clinical Trial (INSTAGE)
Bibliographic record
Abstract
Abstract Rationale In the INSTAGE trial in patients with idiopathic pulmonary fibrosis (IPF) and severely impaired gas exchange, nintedanib plus sildenafil was associated with numerical benefits on St. George’s Respiratory Questionnaire (SGRQ) total score, brain natriuretic peptide (BNP), and FVC decline versus nintedanib alone. Exploratory analyses of the STEP-IPF (Sildenafil Trial of Exercise Performance in IPF) trial suggested that sildenafil may have a greater effect on SGRQ score in patients with IPF who have right heart dysfunction (RHD). Objectives Assess whether RHD influenced the effects of nintedanib plus sildenafil versus nintedanib alone in the INSTAGE trial. Methods Subgroup analyses of patients with (n = 117) versus those without (n = 156) echocardiographic signs of RHD at baseline. Measurements and Main Results There was no heterogeneity between subgroups by presence of RHD in the effect of nintedanib plus sildenafil versus nintedanib alone on change in SGRQ total score at Week 12 (P = 0.74) or Week 24 (P = 0.90), or change in FVC at Week 12 (P = 0.58) or Week 24 (P = 0.55). In both subgroups, nintedanib plus sildenafil had a numerically greater effect on reducing FVC decline versus nintedanib alone. Between-group differences in change in BNP at Week 24 were −119.9 ng/L (95% confidence interval = −171.3 to −68.5) and −3.6 ng/L (95% confidence interval = −47.2 to 40.0) in patients with and without signs of RHD at baseline, respectively (P < 0.01). Conclusions In the INSTAGE trial, there were no significant differences in the effects of nintedanib plus sildenafil versus nintedanib alone on changes in SGRQ and FVC between patients with or without echocardiographic signs of RHD at baseline. The benefit of combination therapy on stabilizing BNP was more pronounced in patients with RHD at baseline. Clinical trial registered with www.clinicaltrials.gov (NCT02802345).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".