SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2025
Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.
Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Clinical Effectiveness of Nebulized Magnesium Sulfate in Pediatric Acute Asthma: A Systematic Review.Cureus · 2026Review
- The Evolving Role of Artificial Intelligence in Pediatric Asthma Management: Opportunities and Challenges for Modern Healthcare.Journal of personalized medicine · 2026Review
- Early-Life Allergen Sensitization Phenotypes and Exploratory Machine-Learning Interpretation of School-Age Asthma Risk.Journal of asthma and allergy · 2026Article
- Management of Patients With Comorbid Asthma and Obesity: A Large Language Model Evaluation of Clinical Documentation.The journal of allergy and clinical immunology. In practice · 2026Article
- Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism.Frontiers in molecular biosciences · 2026Article
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Authors and funding
14 authors.
Funding
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Abstract
introductionNumerous studies have characterised trajectories of asthma and allergy in children using machine learning, but with different techniques and mixed findings. The present work aimed to summarise the evidence and critically appraise the methodology.
methods10 databases were searched. Screening, data extraction and quality assessment were performed in pairs. Trajectory characteristics were tabulated and visualised. Associated risk factor and outcome estimates were pooled using a random-effects meta-analysis.
results89 studies were included. Early-onset (infancy) persistent, mid-onset (∼2-5 years) persistent, early-onset early-resolving (within ∼2 years) and early-onset mid-resolving (by ∼3-6 years) wheezing and eczema, respectively, were the most commonly identified disease trajectories. Intermediate/transient trajectories were rare. Male sex was associated with a higher risk of most wheezing trajectories and possibly with early-resolving eczema, while being slightly protective against mid-onset persistent eczema. Parental disease/genetic markers were associated with persistent trajectories of wheezing and eczema, respectively. Prenatal (and less so postnatal) tobacco smoke exposure was associated with most wheezing trajectories, as were lower respiratory tract infections in infancy (particularly with the early-onset resolving patterns). Most studies (69%) were of low methodological quality (particularly in modelling approaches and reporting). Few studies investigated allergic multimorbidity, allergic rhinitis and food allergy.
conclusionsChildhood asthma/wheezing and eczema can be characterised by a few relatively consistent trajectories, with some actionable risk factors such as pre-/postnatal smoke exposure. Improved computational methodology is warranted to better assess generalisability and elucidate the validity of intermediate/transient trajectories. Likewise, allergic multimorbidity and trajectories of allergic rhinitis and food allergy need to be further elucidated.
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