Trial reportThe Journal of allergy and clinical immunology2014
Classification of childhood asthma phenotypes and long-term clinical responses to inhaled anti-inflammatory medications.
Trial report in The Journal of allergy and clinical immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
61 citing papers in PubMed, 132 citations in OpenAlex.
- Treatment by biomarker-informed endotype vs guideline care in children with difficult-to-treat asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2022Trial
- Features of asthma which provide meaningful insights for understanding the disease heterogeneity.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2018Trial
- Context-specific genetic effects inform endotypes and treatment in asthma.The Journal of allergy and clinical immunology · 2026Article
- MicroRNA clustering in pediatric asthma reveals differential corticosteroid responsiveness.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026Article
- Integrated Pulmonary Severity Score (IPSS) for COPD: A Psycho-Respiratory Risk Index Supported by Explainable Machine Learning.Diagnostics (Basel, Switzerland) · 2026Article
- A Categorical ANCOVA Approach to Severity Endophenotype-Specific Genome-Wide Association Studies in Childhood Asthma.Journal of personalized medicine · 2026Article
- Histopathological alterations in airways associated with physiological changes in airway allergy phenotypes.Frontiers in allergy · 2026Article
- A principal component analysis-based endophenotype definition for change in lung function and inhaled corticosteroid treatment response in childhood asthma.Respiratory research · 2025Article
- Pediatric asthma population risk stratification using k-means clustering.The Journal of asthma : official journal of the Association for the Care of Asthma · 2025Article
- Next Decade Research in Asthma: Broad Omics-Based Exploration Versus Targeted Airway Epithelium Studies.Journal of clinical medicine · 2025Review
- Location and amount of joint involvement differentiates rheumatoid arthritis into different clinical subsets.NPJ digital medicine · 2025Article
- Asthma Phenotypes and Biomarkers.Respiratory care · 2025Review
- C3G and Ig-MPGN-treatment standard.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Review
- Childhood asthma phenotypes and endotypes: a glance into the mosaic.Molecular and cellular pediatrics · 2023Review
- Percent Recovery Index Predicts Poor Asthma Control and Exacerbation in Adults.Journal of asthma and allergy · 2023Article
- Kidney diseases.Immunological reviews · 2023Review
- Predictive characteristics to discriminate the longitudinal outcomes of childhood asthma: a retrospective program-based study.Pediatric research · 2022Article
- Asthma clustering methods: a literature-informed application to the children's health study data.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022Review
- Article
- Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review.BMJ open respiratory research · 2022Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundAlthough recent studies have identified the presence of phenotypic clusters in asthmatic patients, the clinical significance and temporal stability of these clusters have not been explored.
objectiveOur aim was to examine the clinical relevance and temporal stability of phenotypic clusters in children with asthma.
methodsWe applied spectral clustering to clinical data from 1041 children with asthma participating in the Childhood Asthma Management Program. Posttreatment randomization follow-up data collected over 48 months were used to determine the effect of these clusters on pulmonary function and treatment response to inhaled anti-inflammatory medication.
resultsWe found 5 reproducible patient clusters that could be differentiated on the basis of 3 groups of features: atopic burden, degree of airway obstruction, and history of exacerbation. Cluster grouping predicted long-term asthma control, as measured by the need for oral prednisone (P < .0001) or additional controller medications (P = .001), as well as longitudinal differences in pulmonary function (P < .0001). We also found that the 2 clusters with the highest rates of exacerbation had different responses to inhaled corticosteroids when compared with the other clusters. One cluster demonstrated a positive response to both budesonide (P = .02) and nedocromil (P = .01) compared with placebo, whereas the other cluster demonstrated minimal responses to both budesonide (P = .12) and nedocromil (P = .56) compared with placebo.
conclusionPhenotypic clustering can be used to identify longitudinally consistent and clinically relevant patient subgroups, with implications for targeted therapeutic strategies and clinical trials design.
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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.