ReviewBiology2026
Lung Function-Based Assessment of Small Airway Dysfunction in Chronic Respiratory Diseases.
Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Small airway dysfunction (SAD) is increasingly recognized as an early and clinically important component of chronic respiratory diseases. Because pathological changes in the peripheral airways may remain clinically silent until disease is advanced, sensitive methods to detect and characterize SAD are required to improve phenotyping and support mechanism-based therapeutic development. This narrative review summarized key SAD mechanisms, including epithelial injury and dysregulated repair, mucus retention, inflammation-driven mucosal edema, smooth muscle dysfunction, and matrix remodeling, that contribute to small-airway narrowing and ventilation heterogeneity. We synthesized lung function approaches used to quantify SAD and relate measurement outputs to functional abnormalities, including ventilation heterogeneity, small-airway narrowing, airway closure, and gas trapping. We reviewed commonly used clinical and research assessments, including spirometry, forced oscillation techniques (FOTs), impulse oscillometry (IOS), multiple-breath washout (MBW), fractional exhaled nitric oxide (FeNO), and static lung volume measurements. We also highlighted the practical advantages, key limitations, and interpretive pitfalls of each modality and proposed a pragmatic framework for integrating these physiological tests into clinical evaluation and phenotypic identification of SAD. Finally, we identified priorities for standardization and future studies to determine how lung function-based SAD endpoints can guide treatment decisions and serve as outcome measures in clinical trials.
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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.