Trial reportRespiratory research2020
Serum surfactant protein D as a predictive biomarker for the efficacy of pirfenidone in patients with idiopathic pulmonary fibrosis: a post-hoc analysis of the phase 3 trial in Japan.
Trial report in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Incidence and influencing factors of progressive pulmonary fibrosis in connective tissue disease-associated interstitial lung disease: a systematic review and meta-analysis.Frontiers in immunology · 2026Pooled it
- Serum surfactant protein D as a significant biomarker for predicting occurrence, progression, acute exacerbation, and mortality in interstitial lung disease: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Inhaled LTI-03 for idiopathic pulmonary fibrosis: a randomized dose escalation study.Nature communications · 2026Trial
- A FGFR3 decoy receptor attenuates lung fibroblast-to-myofibroblast transition and pulmonary fibrosis.American journal of respiratory cell and molecular biology · 2026Article
- Recent advances in pulmonary fibrosis: from lung surfactant to the immune connection.Respiratory research · 2026Review
- Review
- A biomarker-guided framework for corticosteroid treatment stratification in acute exacerbation of idiopathic pulmonary fibrosis.Frontiers in pharmacology · 2026Article
- Idiopathic Pulmonary Fibrosis: A Comprehensive Review of Risk Factors, Genetics, Diagnosis, and Therapeutic Approaches.Biomedicines · 2026Review
- Article
- Fatty Acids Dysregulation Correlates with Lung Function in Idiopathic Pulmonary Fibrosis.Lung · 2025Article
- Review
- The role of autophagy in fibrosis: Mechanisms, progression and therapeutic potential (Review).International journal of molecular medicine · 2025Review
- Serum Biomarkers of Pulmonary Damage and Risk for Progression of Rheumatoid Arthritis-Associated Interstitial Lung Disease.The Journal of rheumatology · 2025Article
- Surfactant Protein D and Club Cell Secretory Protein as Biomarkers of Disease Severity and Fostamatinib Efficacy in Severe COVID-19.Critical care explorations · 2025Article
- Immunobiology of pulmonary fibrosis.Frontiers in immunology · 2025Review
- PI3K/Akt in IPF: untangling fibrosis and charting therapies.Frontiers in immunology · 2025Review
- Impact of Viral Lower Respiratory Tract Infection (LRTI) in Early Childhood (0-2 Years) on Lung Growth and Development and Lifelong Trajectories of Pulmonary Health: A National Institutes of Health (NIH) Workshop Summary.Pediatric pulmonology · 2025Review
- Review
- The role of biomarkers in the diagnosis and treatment follow-up of idiopathic pulmonary fibrosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2024Article
- Pirfenidone and nintedanib attenuate pulmonary fibrosis in mice by inhibiting the expression of JAK2.Journal of thoracic disease · 2024Article
Corrections and comments
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Authors and funding
16 authors at 11 institutions in 1 country.
Funding
Abstract
backgroundIdiopathic pulmonary fibrosis (IPF) is a progressive, fatal disorder with a variable disease course. The recent advancement of antifibrotic therapy has increased the need for reliable and specific biomarkers. This study aimed to assess alveolar epithelial biomarkers as predictors for the efficacy of the antifibrotic drug pirfenidone.
methodsWe conducted a post-hoc analysis of the prospective, multicenter, randomized, placebo-controlled, phase 3 trial of pirfenidone in Japan (total, n = 267; pirfenidone, n = 163; placebo, n = 104). Logistic regression analysis was performed to extract parameters that predicted disease progression, defined by a ≥ 10% relative decline in vital capacity (VC) from baseline and/or death, at week 52. For assessment of serum surfactant protein (SP)-D, SP-A and Krebs von den Lungen (KL)-6, all patients were dichotomized by the median concentration of each biomarker at baseline to the high and low biomarker subgroups. Associations of these concentrations were examined with changes in VC at each time point from baseline up to week 52, along with progression-free survival (PFS). Additionally, the effect of pirfenidone treatment on serial longitudinal concentrations of these biomarkers were evaluated.
resultsIn the multivariate logistic regression analysis, body mass index (BMI), %VC and SP-D in the pirfenidone group, and BMI and %VC in the placebo group were indicated as predictors of disease progression. Pirfenidone treatment reduced the decline in VC with statistical significance in the low SP-D and low SP-A subgroups over most of the treatment period, and also prolonged PFS in the low SP-D and low KL-6 subgroups. Furthermore, SP-D levels over time course were reduced in the pirfenidone group from as early as week 8 until the 52-week treatment period compared with the placebo group.
conclusionsSerum SP-D was the most consistent biomarker for the efficacy of pirfenidone in the cohort trial of IPF. Serial measurements of SP-D might have a potential for application as a pharmacodynamic biomarker. Trial registration The clinical trial was registered with the Japan Pharmaceutical Information Center (JAPIC) on September 13, 2005 (registration No. JapicCTI-050121; http://Clinicaltrials.jp ).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.