ReviewPulmonary therapy
Identification of Asthma Subtypes Using Clustering Methodologies.
Review in Pulmonary therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- AZD0449, an inhaled JAK1 inhibitor, in healthy participants and patients with mild asthma.British journal of clinical pharmacology · 2026Trial
- 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
- 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
- Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026Review
- Article
- A formal explanation space for the simultaneous clustering of neurologic diseases based on their signs and symptoms.BMC medical informatics and decision making · 2025Article
- Relationships among host genetics, gut microbiota, and asthma in US Hispanic/Latino adults.Nature communications · 2025Article
- Identification of clinically meaningful, overlapping obstructive respiratory disease subtypes via data-driven approaches in a primary care population.BMC pulmonary medicine · 2025Article
- Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review.BMJ open · 2024Article
- Validation of the cough phenotype TBQ among elderly Finnish subjects.ERJ open research · 2022Article
- Subtypes of Asthma and Cold Weather-Related Respiratory Symptoms.International journal of environmental research and public health · 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
- Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.European journal of pediatrics · 2022Article
- Genetics of Asthma and Allergic Diseases.Handbook of experimental pharmacology · 2022Article
- Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging.JMIR research protocols · 2021Article
- Heterogeneity of Childhood Asthma in Korea: Cluster Analysis of the Korean Childhood Asthma Study Cohort.Allergy, asthma & immunology research · 2021Article
- Genetic Epidemiology of Complex Phenotypes.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Endotypes identified by cluster analysis in asthmatics and non-asthmatics and their clinical characteristics at follow-up: the case-control EGEA study.BMJ open respiratory research · 2020Article
- Asthma control factors in the Gulf Cooperation Council (GCC) countries and the effectiveness of ICS/LABA fixed dose combinations: a dual rapid literature review.BMC public health · 2020Review
- Cluster Analysis: A New Approach for Identification of Underlying Risk Factors and Demographic Features of First Trimester Pregnancy Women.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Asthma is a heterogeneous disease comprising a number of subtypes which may be caused by different pathophysiologic mechanisms (sometimes referred to as endotypes) but may share similar observed characteristics (phenotypes). The use of unsupervised clustering in adult and paediatric populations has identified subtypes of asthma based on observable characteristics such as symptoms, lung function, atopy, eosinophilia, obesity, and age of onset. Here we describe different clustering methods and demonstrate their contributions to our understanding of the spectrum of asthma syndrome. Precise identification of asthma subtypes and their pathophysiological mechanisms may lead to stratification of patients, thus enabling more precise therapeutic and prevention approaches.
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