ArticleERJ open research2016
Development of a diagnostic decision tree for obstructive pulmonary diseases based on real-life data.
Article in ERJ open research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Systematic review of clinical prediction models to support the diagnosis of asthma in primary care.NPJ primary care respiratory medicine · 2019Pooled it
- A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases.Nature biomedical engineering · 2025Article
- Impact of sleep duration and dietary patterns on risk of metabolic syndrome in middle-aged and elderly adults: a cross-sectional study from a survey in Anhui, Eastern China.Lipids in health and disease · 2024Article
- Review
- Diagnosis of Epstein-Barr and cytomegalovirus infections using decision trees: an effective way to avoid antibiotic overuse in paediatric tonsillopharyngitis.BMC pediatrics · 2023Article
- Deriving and validating an asthma diagnosis prediction model for children and young people in primary care.Wellcome open research · 2023Article
- Liquid biopsies for early diagnosis of brain tumours:Journal of the Royal Society, Interface · 2022Article
- Observational
- A dynamic nomogram for predicting the risk of asthma: Development and validation in a database study.Journal of clinical laboratory analysis · 2021Article
- The role of clinical signs and spirometry in the diagnosis of obstructive airway diseases: a systematic analysis adapted to general practice settings.Journal of thoracic disease · 2021Article
- The use of a direct bronchial challenge test in primary care to diagnose asthma.NPJ primary care respiratory medicine · 2020Observational
- Asthma phenotypes in primary care.NPJ primary care respiratory medicine · 2020Article
- A decision tree to improve identification of pathogenic mutations in clinical practice.BMC medical informatics and decision making · 2020Article
- Clinical prediction models to support the diagnosis of asthma in primary care: a systematic review protocol.NPJ primary care respiratory medicine · 2018Article
Corrections and comments
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Authors and funding
8 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to develop and explore the diagnostic accuracy of a decision tree derived from a large real-life primary care population. Data from 9297 primary care patients (45% male, mean age 53±17 years) with suspicion of an obstructive pulmonary disease was derived from an asthma/chronic obstructive pulmonary disease (COPD) service where patients were assessed using spirometry, the Asthma Control Questionnaire, the Clinical COPD Questionnaire, history data and medication use. All patients were diagnosed through the Internet by a pulmonologist. The Chi-squared Automatic Interaction Detection method was used to build the decision tree. The tree was externally validated in another real-life primary care population (n=3215). Our tree correctly diagnosed 79% of the asthma patients, 85% of the COPD patients and 32% of the asthma-COPD overlap syndrome (ACOS) patients. External validation showed a comparable pattern (correct: asthma 78%, COPD 83%, ACOS 24%). Our decision tree is considered to be promising because it was based on real-life primary care patients with a specialist's diagnosis. In most patients the diagnosis could be correctly predicted. Predicting ACOS, however, remained a challenge. The total decision tree can be implemented in computer-assisted diagnostic systems for individual patients. A simplified version of this tree can be used in daily clinical practice as a desk tool.
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Registered trials
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