ArticleAmerican journal of respiratory and critical care medicine2017
Using Network Analysis to Understand Severe Asthma Phenotypes.
Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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Who cites it
9 citing papers in PubMed.
- Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.The journal of allergy and clinical immunology. In practice · 2024Article
- Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods.Scientific reports · 2023Article
- Airway and parenchyma transcriptomics in a house dust mite model of experimental asthma.Respiratory research · 2023Article
- Identifying gene network patterns and associated cellular immune responses in children with or without nut allergy.The World Allergy Organization journal · 2022Article
- Unlocking immune-mediated disease mechanisms with transcriptomics.Biochemical Society transactions · 2021Review
- Transcriptional Changes in Chronic Rhinosinusitis with Asthma Favor a Type 2 Molecular Endotype Independent of Polyp Status.Journal of asthma and allergy · 2021Article
- Clinical profile of predefined asthma phenotypes in a large cohort of UK primary care patients (Clinical Practice Research Datalink).Journal of asthma and allergy · 2019Article
- Expression and pathological significance of CC chemokine receptor 7 and its ligands in the airway of asthmatic rats exposed to cigarette smoke.Journal of thoracic disease · 2018Article
- Persistent activation of interlinked type 2 airway epithelial gene networks in sputum-derived cells from aeroallergen-sensitized symptomatic asthmatics.Scientific reports · 2018Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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Identifiers
28569573What OpenQuestion holds
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.