ReviewCurrent opinion in allergy and clinical immunology2016
The asthma prediction rule to decrease hospitalizations for children with asthma.
Review in Current opinion in allergy and clinical immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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
4 citing papers in PubMed.
- Defining Treatment Response for Clinical Trials of Pediatric Acute Asthma.The journal of allergy and clinical immunology. In practice · 2023Article
- Risk Factors and Outcomes Associated With Antibiotic Therapy in Children Hospitalized With Asthma Exacerbation.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2022Article
- Asthma.Pediatrics in review · 2019Review
- Machine learning approaches to personalize early prediction of asthma exacerbations.Annals of the New York Academy of Sciences · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purpose of reviewThe aim of the present review was to discuss the challenges around clinical decision-making for hospitalization of children with acute asthma exacerbations and the development, internal validation, and future potential of the asthma prediction rule (APR) to provide meaningful clinical decision-support that might decrease unnecessary hospitalizations. RECENT
findingsThe APR was developed and internally validated using predictor variables available before treatment in the emergency department, and performed well to predict 'need-for-hospitalization.' Oxygen saturation on room air and expiratory phase prolongation were most strongly associated with need-for-hospitalization. SUMMARY: Research on prediction rules in pediatric asthma is rare. We developed and internally validated the APR using clinically intuitive predictor variables that are available at the bedside. Before incorporation into electronic decision-support the APR must undergo external validation and an impact analysis to determine if use of this tool will change clinician behavior and improve patient outcomes.
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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.