ReviewTranslational pediatrics2026
Treatable traits of small airway dysfunction in children with asthma and advances in small airway-targeted therapeutic research: a narrative review.
Review in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- It's not all about small airways disease: key limitations of oscillometry interpretation.Frontiers in allergy · 2026Review
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
Background and Objective: Small airway dysfunction (SAD) is highly prevalent in children with asthma and is closely associated with adverse outcomes, including poor disease control, frequent exacerbations, and impaired quality of life. However, conventional asthma management has traditionally focused on large-airway assessment, often leading to the oversight of SAD. The maturation of diagnostic techniques and the growing application of therapies with enhanced peripheral lung delivery have rendered targeted intervention increasingly feasible. Concurrently, the emerging "treatable traits" (TTs) paradigm provides a novel framework for personalized asthma management. This review aims to synthesize current evidence on small airway-targeted therapies and, building upon the TT framework, propose a stepwise clinical strategy to operationalize pediatric SAD as a distinct TT, in order to inform future research and guide the evolution of clinical practice. Methods: A narrative review of relevant literature was conducted. We searched PubMed, Embase, the Cochrane Library, and China National Knowledge Infrastructure (CNKI) for English- and Chinese-language publications from 1 January 2015 to 15 March 2025. Search terms covered asthma, children, small airway dysfunction or related small-airway assessment terms, and treatable traits or related precision-management concepts. Original studies, relevant reviews, and consensus/guideline documents concerning the assessment, targeted therapy, and treatable-traits strategy for small airway involvement in pediatric asthma were considered. Key Content and Findings: The review synthesizes evidence supporting SAD as a key modifiable therapeutic target within the TT framework. It details diagnostic approaches, particularly impulse oscillometry, and evaluates therapeutic strategies designed for peripheral lung delivery, such as extrafine-particle inhaled corticosteroids and biologics. Building on this evidence, a practical, stepwise clinical strategy is proposed to systematically identify, assess, and manage SAD as a TT in children with asthma. Conclusions: Integrating SAD into the TTs framework represents a promising pathway towards more precise and individualized management of childhood asthma. Implementing assessment and targeted intervention strategies for SAD has the potential to improve disease control, reduce exacerbations, and enhance the quality of life for affected children. Future research is needed to validate the effectiveness of this proposed strategy and to define the optimal pathways for its implementation in routine clinical care.
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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.