ArticleThe Journal of allergy and clinical immunology2019
A Pediatric Asthma Risk Score to better predict asthma development in young children.
Article in The Journal of allergy and clinical immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
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
60 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.
- Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review.Journal of medical systems · 2024Pooled it
- Effect of an electronic health record-integrated machine learning asthma risk marker on pediatrician prognostic accuracy during preschool age: a pilot randomized clinical trial.Scientific reports · 2026Trial
- Effect of motivational interviewing on treatment adherence and self-efficacy of adolescents with asthma: A randomized controlled trial.Nursing open · 2023Trial
- Precision medicine to diagnose asthma in preschool children: comparison of clinical scores, lung function, biomarkers, and genetic tests.Paediatric respiratory reviews · 2026Review
- Early Risk Assessment and Recognition of Allergies in Children: Rationale, Methodology, and Proposed Algorithms.Allergy · 2026Review
- Feasibility and acceptability of a passive digital marker for childhood asthma risk prognosis: a pilot cross-sectional study.Pilot and feasibility studies · 2026Article
- Prediction of allergic disease trajectories from birth up to adolescence.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026Article
- Bronchoalveolar Results in Young Children with Chronic Lung Symptoms: Lessons Learned from an Allergy-Pulmonology Project Guided by an Updated Mini Review of the Current Literature of Bronchoalveolar Lavage Eosinophilia and Neutrophilia in Normal Children.Children (Basel, Switzerland) · 2026Article
- Machine learning reveals immune heterogeneity in recovery-phase samples of pediatric wheezing.Frontiers in pediatrics · 2026Article
- Genome-wide cross-trait analysis of heterogeneous outcomes in early life atopic dermatitis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Article
- Socioeconomic deprivation performs equally to race in the Pediatric Asthma Risk Score.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Article
- Early-life prediction of school-age asthma among recurrent Wheezers in preschoolers: The WHEEP study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Article
- Machine learning-based early prediction of asthma in preschoolers: The COCOA birth cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Article
- Leveraging artificial intelligence for the management of preschool wheeze: A narrative review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Review
- Risk Factors and Mechanisms Leading to Preschool Recurrent Wheeze and Asthma.The journal of allergy and clinical immunology. In practice · 2025Review
- Evaluating the Impact of the COVID-19 Pandemic on Pediatric Asthma Incidence.The journal of allergy and clinical immunology. In practice · 2025Review
- Racial Fairness of Individual- and Community-Level Proxies of Socioeconomic Status Among Birthing Parent-Child Dyads.Journal of racial and ethnic health disparities · 2025Article
- Caregiver-Perceived Determinants of Asthma Morbidity in Early Childhood: A Qualitative Study.Hospital pediatrics · 2025Article
- External validation and update of the pediatric asthma risk score as a passive digital marker for childhood asthma using integrated electronic health records.EClinicalMedicine · 2025Article
- Observational birth cohorts for causal and predictive inference: The example of childhood asthma and allergic diseases.The Journal of allergy and clinical immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAsthma phenotypes are currently not amenable to primary prevention or early intervention because their natural history cannot be reliably predicted. Clinicians remain reliant on poorly predictive asthma outcome tools because of a lack of better alternatives.
objectiveWe sought to develop a quantitative personalized tool to predict asthma development in young children.
methodsData from the Cincinnati Childhood Allergy and Air Pollution Study (n = 762) birth cohort were used to identify factors that predicted asthma development. The Pediatric Asthma Risk Score (PARS) was constructed by integrating demographic and clinical data. The sensitivity and specificity of PARS were compared with those of the Asthma Predictive Index (API) and replicated in the Isle of Wight birth cohort.
resultsPARS reliably predicted asthma development in the Cincinnati Childhood Allergy and Air Pollution Study (sensitivity = 0.68, specificity = 0.77). Although both the PARS and API predicted asthma in high-risk children, the PARS had improved ability to predict asthma in children with mild-to-moderate asthma risk. In addition to parental asthma, eczema, and wheezing apart from colds, variables that predicted asthma in the PARS included early wheezing (odds ratio [OR], 2.88; 95% CI, 1.52-5.37), sensitization to 2 or more food allergens and/or aeroallergens (OR, 2.44; 95% CI, 1.49-4.05), and African American race (OR, 2.04; 95% CI, 1.19-3.47). The PARS was replicated in the Isle of Wight birth cohort (sensitivity = 0.67, specificity = 0.79), demonstrating that it is a robust, valid, and generalizable asthma predictive tool.
conclusionsThe PARS performed better than the API in children with mild-to-moderate asthma. This is significant because these children are the most common and most difficult to predict and might be the most amenable to prevention strategies.
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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.