ReviewF1000Research2016
Recent advances in understanding idiopathic pulmonary fibrosis.
Review in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.
- A meta-analysis of the clinical significance of neutrophil-to-lymphocyte ratios in interstitial lung disease.PloS one · 2023Pooled it
- Systematic review of drug effects in humans and models with surfactant-processing disease.European respiratory review : an official journal of the European Respiratory Society · 2018Pooled it
- Next-Generation Sequencing in Pulmonary Fibrosis: Translational Promise and Current Clinical Limitations.Current issues in molecular biology · 2026Review
- The intersection of liver cirrhosis and pulmonary fibrosis.Journal of translational medicine · 2025Review
- Review
- Air pollution and alveolar health.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- CD45+/ Col I+ Fibrocytes: Major source of collagen in the fibrotic lung, but not in passaged fibroblast cultures.Matrix biology : journal of the International Society for Matrix Biology · 2025Article
- Idiopathic Pulmonary Fibrosis Caused by Damaged Mitochondria and Imbalanced Protein Homeostasis in Alveolar Epithelial Type II Cell.Advanced biology · 2025Review
- Prognostic value of [Scientific reports · 2025Article
- Role of Essential Oils and Antioxidants in the Treatment of Fibrosis.Current drug research reviews · 2025Review
- The Role of Small Airway Disease in Pulmonary Fibrotic Diseases.Journal of personalized medicine · 2023Review
- Exosomal miR-17-5p from human embryonic stem cells prevents pulmonary fibrosis by targeting thrombospondin-2.Stem cell research & therapy · 2023Article
- Allies or enemies? The effect of regulatory T cells and related T lymphocytes on the profibrotic environment in bleomycin-injured lung mouse models.Clinical and experimental medicine · 2023Review
- CYFRA 21-1 Predicts Progression in Idiopathic Pulmonary Fibrosis: A Prospective Longitudinal Analysis of the PROFILE Cohort.American journal of respiratory and critical care medicine · 2022Article
- Small Airways in Idiopathic Pulmonary Fibrosis: Quiet but Not Forgotten.American journal of respiratory and critical care medicine · 2021Article
- Targeting Human Herpesviruses: An Effective Strategy for Treating Idiopathic Pulmonary Fibrosis?Annals of the American Thoracic Society · 2021Article
- Quantitative Evaluation of Fibrosis in IPF Patients: Meaning of Diffuse Pulmonary Ossification.Diagnostics (Basel, Switzerland) · 2021Article
- Inhibition of mast cells: a novel mechanism by which nintedanib may elicit anti-fibrotic effects.Thorax · 2020Article
- Association of Common Genetic Variants in theGenes · 2020Article
- DROSHA-Dependent miRNA and AIM2 Inflammasome Activation in Idiopathic Pulmonary Fibrosis.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Despite major research efforts leading to the recent approval of pirfenidone and nintedanib, the dismal prognosis of idiopathic pulmonary fibrosis (IPF) remains unchanged. The elaboration of international diagnostic criteria and disease stratification models based on clinical, physiological, radiological, and histopathological features has improved the accuracy of IPF diagnosis and prediction of mortality risk. Nevertheless, given the marked heterogeneity in clinical phenotype and the considerable overlap of IPF with other fibrotic interstitial lung diseases (ILDs), about 10% of cases of pulmonary fibrosis remain unclassifiable. Moreover, currently available tools fail to detect early IPF, predict the highly variable course of the disease, and assess response to antifibrotic drugs. Recent advances in understanding the multiple interrelated pathogenic pathways underlying IPF have identified various molecular phenotypes resulting from complex interactions among genetic, epigenetic, transcriptional, post-transcriptional, metabolic, and environmental factors. These different disease endotypes appear to confer variable susceptibility to the condition, differing risks of rapid progression, and, possibly, altered responses to therapy. The development and validation of diagnostic and prognostic biomarkers are necessary to enable a more precise and earlier diagnosis of IPF and to improve prediction of future disease behaviour. The availability of approved antifibrotic therapies together with potential new drugs currently under evaluation also highlights the need for biomarkers able to predict and assess treatment responsiveness, thereby allowing individualised treatment based on risk of progression and drug response. This approach of disease stratification and personalised medicine is already used in the routine management of many cancers and provides a potential road map for guiding clinical care in IPF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.