ArticleJournal of cystic fibrosis : official journal of the European Cystic Fibrosis Society2024
Demographic factors associated with within-individual variability of lung function for adults with cystic fibrosis: A UK registry study.
Article in Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- A Bayesian Location-Scale Joint Model for Time-To-Event and Multivariate Longitudinal Data With Association Based on Within-Individual Variability.Statistics in medicine · 2026Article
- Assessing the impact of variance heterogeneity and misspecification in mixed-effects location-scale models.BMC medical research methodology · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundLung function is a key outcome used in the evaluation of disease progression in cystic fibrosis. The variability of individual lung function measurements over time (within-individual variability) has been shown to predict subsequent lung function changes. Nevertheless, the association between within-individual lung function variability and demographic and genetic covariates has not been quantified.
methodsWe performed a longitudinal analysis of data from a cohort of 7099 adults with cystic fibrosis (between 18 and 49 years old) from the UK cystic fibrosis registry, containing annual review data between 1996 and 2020. A mixed-effects location-scale model is used to quantify mean FEV
resultsMean FEV
conclusionsKey variables known to be linked with mean lung function in cystic fibrosis are also associated with an individual's lung function variability. This work opens new avenues to understand the role played by lung function variability in disease progression and its utility in predicting key outcomes such as mortality.
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