ReviewFrontiers in pediatrics2019
Predicting Asthma Using Clinical Indexes.
Review in Frontiers in pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors associated with wheezing in Indigenous children and adolescents: A systematic review of the global literature.PloS one · 2026Pooled it
- Precision medicine to diagnose asthma in preschool children: comparison of clinical scores, lung function, biomarkers, and genetic tests.Paediatric respiratory reviews · 2026Review
- Trends in the Prevalence of Asthma in Korean Children: A Population-Based Study From 1995 to 2022.Allergy, asthma & immunology research · 2025Article
- Budesonide/formoterol for pediatric asthma: bridging the gap between evidence and practice in Maintenance and Reliever Therapy.Frontiers in medicine · 2025Article
- Association between preterm birth and asthma and atopic dermatitis in preschool children: a nationwide population-based study.European journal of pediatrics · 2024Article
- Predictive Value of Impulse Oscillometry Combined with Fractional Expiratory Nitric Oxide Test for Asthma in Preschool Children.Journal of asthma and allergy · 2024Article
- Artificial intelligence and wheezing in children: where are we now?Frontiers in medicine · 2024Review
- Early Prediction of Asthma.Journal of clinical medicine · 2023Review
- Blood Eosinophils for Prediction of Exacerbation in Preschool Children With Recurrent Wheezing.The journal of allergy and clinical immunology. In practice · 2023Article
- Metabolomics in pediatric lower respiratory tract infections and sepsis: a literature review.Pediatric research · 2023Review
- Review
- Diagnosis and management of asthma in infants and preschoolers.Clinical and experimental pediatrics · 2022Article
- Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma.JAMA network open · 2022Article
- Asthma and Allergy: Unravelling a Tangled Relationship with a Focus on New Biomarkers and Treatment.International journal of molecular sciences · 2022Review
- Viral wheezing in early childhood as a risk factor for asthma in young adulthood: A prospective long-term cohort study.Health science reports · 2022Article
- The asthma predictive index as a surrogate diagnostic tool in preschoolers: Analysis of a longitudinal birth cohort.Pediatric pulmonology · 2021Article
- Utility of basophil activation test for predicting the outcome of wheezing in children: a pilot study.BMC immunology · 2021Article
- Performance of Three Asthma Predictive Tools in a Cohort of Infants Hospitalized With Severe Bronchiolitis.Frontiers in allergy · 2021Article
- Leptin in Cord Blood Associates with Asthma Risk at Age 3 in the Offspring of Women with Gestational Obesity.Annals of the American Thoracic Society · 2020Article
- Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea.Clinical and experimental pediatrics · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Asthma is no longer considered a single disease, but a common label for a set of heterogeneous conditions with shared clinical symptoms but associated with different cellular and molecular mechanisms. Several wheezing phenotypes coexist at preschool age but not all preschoolers with recurrent wheezing develop asthma at school-age; and since at the present no accurate single screening test using genetic or biochemical markers has been developed to determine which preschooler with recurrent wheezing will have asthma at school age, the asthma diagnosis still needs to be based on clinical predicted models or scores. The purpose of this review is to summarize the existing and most frequently used asthma predicting models, to discuss their advantages/disadvantages, and their accomplishment on all the necessary consecutive steps for any predictive model. Seven most popular asthma predictive models were reviewed (original API, Isle of Wight, PIAMA, modified API, ucAPI, APT Leicestersher, and ademAPI). Among these, the original API has a good positive LR~7.4 (increases the probability of a prediction of asthma by 2-7 times), and it is also simple: it only requires four clinical parameters and a peripheral blood sample for eosinophil count. It is thus an easy model to use in any rural or urban health care system. However, because its negative LR is not good, it cannot be used to rule out the development of asthma.
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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.