ArticleJournal of thoracic disease2021
Validation of the accuracy of the childhood asthma model for clinical decision support: a study protocol.
Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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12 authors at 5 institutions in 1 country.
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Abstract
backgroundIn China, the average prevalence of asthma in children aged 0-14 years increased by approximately 50% every 10 years. Hence, a specific decision support system that fits China's situation is needed for childhood asthma. This prospective, multicenter, observational study aims to assess the accuracy of the Childhood Asthma Model for Clinical Decision Support (CAMCDS) in clinical practice in four hospitals in Shanghai in China.
methodsThe study will be conducted in two phases. Phase I of the study aims to evaluate the accuracy of the CAMCDS for diagnosis, while phase II of the study aims to examine the treatment predicting accuracy of the CAMCDS model. In total, 817 children diagnosed with stable asthma and 545 suspected asthma will be enrolled. The accuracy of the CAMCDS model will be calculated using the receiver operating characteristic (ROC) curve compared with the results of pediatrician's diagnosis. Besides, the treatment patterns from CAMCDS and real-world environment for Chinese children with stable asthma will be assessed, and the factors that affect the CAMCDS implementation in routine clinical practice will be explored.
conclusionsThis will be the first study to examine the diagnostic accuracy and treatment predicting accuracy of a clinical decision support system in children with asthma in China. We hope that the CAMCDS will be help pediatricians in basic-level hospitals to improve the diagnosis and treatment strategy of asthma.
trial registrationChinese Clinical Trial Registry Identifier: ChiCTR2100045283.
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