ArticlePediatric pulmonology2022
A screening tool to identify risk for bronchiectasis progression in children with cystic fibrosis.
Article in Pediatric pulmonology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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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.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- A pilot study of ultra-low-dose chest CT combined with co-production in cystic fibrosis care.Pediatric research · 2026Article
- Inflammation and Infection in Cystic Fibrosis: Update for the Clinician.Children (Basel, Switzerland) · 2022Review
- A screening tool to identify risk for bronchiectasis progression in children with cystic fibrosis.Pediatric pulmonology · 2022Article
- Management of respiratory tract exacerbations in people with cystic fibrosis: Focus on imaging.Frontiers in pediatrics · 2022Review
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe marked heterogeneity in cystic fibrosis (CF) disease complicates the selection of those most likely to benefit from existing or emergent treatments.
objectiveWe aimed to predict the progression of bronchiectasis in preschool children with CF.
methodsUsing data collected up to 3 years of age, in the Australian Respiratory Early Surveillance Team for CF cohort study, clinical information, chest computed tomography (CT) scores, and biomarkers from bronchoalveolar lavage were assessed in a multivariable linear regression model as predictors for CT bronchiectasis at age 5-6.
resultsFollow-up at 5-6 years was available in 171 children. Bronchiectasis prevalence at 5-6 was 134/171 (78%) and median bronchiectasis score was 3 (range 0-12). The internally validated multivariate model retained eight independent predictors accounting for 37% (adjusted R
conclusionEarly assessment of bronchiectasis risk in children with CF is feasible with reasonable precision at a group level, which can assist in high-risk patient selection for interventional trials. The unexplained variability in disease progression at individual patient levels remains high, limiting the use of this model as a clinical prediction tool.
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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.