ArticleEmerging themes in epidemiology2017
Flexible semiparametric joint modeling: an application to estimate individual lung function decline and risk of pulmonary exacerbations in cystic fibrosis.
Article in Emerging themes in epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Challenges and opportunities for drug development in rare pulmonary diseases like cystic fibrosis: an industry perspective.Current opinion in pulmonary medicine · 2025Review
- A Joint Model for Unbalanced Nested Repeated Measures with Informative Drop-Out Applied to Ambulatory Blood Pressure Monitoring Data.BioMed research international · 2022Article
- New Insights in Microbial Species Predicting Lung Function Decline in CF: Lessons from the MucoFong Project.Journal of clinical medicine · 2021Article
- Cessation of smoke exposure improves pediatric CF outcomes: Longitudinal analysis of CF Foundation Patient Registry data.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2021Article
- Article
- The association of area deprivation and state child health with respiratory outcomes of pediatric patients with cystic fibrosis in the United States.Pediatric pulmonology · 2021Observational
- Risk factor identification in cystic fibrosis by flexible hierarchical joint models.Statistical methods in medical research · 2021Article
- Bayesian joint modelling of longitudinal and time to event data: a methodological review.BMC medical research methodology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundEpidemiologic surveillance of lung function is key to clinical care of individuals with cystic fibrosis, but lung function decline is nonlinear and often impacted by acute respiratory events known as pulmonary exacerbations. Statistical models are needed to simultaneously estimate lung function decline while providing risk estimates for the onset of pulmonary exacerbations, in order to identify relevant predictors of declining lung function and understand how these associations could be used to predict the onset of pulmonary exacerbations.
methodsUsing longitudinal lung function (FEV
resultsThe semiparametric joint model had the best fit of all models examined based on deviance information criterion. Higher starting FEV
conclusionsThrough a flexible joint-modeling approach, we provide a means to simultaneously estimate lung function trajectories and the risk of pulmonary exacerbations for individual patients; we demonstrate how this approach offers additional insights into the clinical course of cystic fibrosis that were not possible using conventional approaches.
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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.