ReviewFrontiers in medicine2020
Needs for Systems Approaches to Better Treat Individuals With Severe Asthma: Predicting Phenotypes and Responses to Treatments.
Review in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 21 citations in OpenAlex.
- Biomarker-Defined Endotypes and Clinical Phenotypes of Asthma: A Cluster-Based Analysis of Type-2 Inflammatory Patterns and Their Clinical Correlates.Journal of asthma and allergy · 2026Article
- Heterogeneity in response to treatment across tinnitus phenotypes.Scientific reports · 2024Article
- Vandetanib as a prospective anti-inflammatory and anti-contractile agent in asthma.Frontiers in pharmacology · 2024Article
- Molecular Accounting and Profiling of Human Respiratory Microbial Communities: Toward Precision Medicine by Targeting the Respiratory Microbiome for Disease Diagnosis and Treatment.International journal of molecular sciences · 2023Review
- Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.Journal of personalized medicine · 2021Review
- Type 2 immunity-driven diseases: Towards a multidisciplinary approach.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021Review
- The need for continuous quality assessment for providing optimal comprehensive care for patients with alpha-1 antitrypsin deficiency.Allergy and asthma proceedings · 2021Article
- Systems Approaches to Treatment Response to Imatinib in Severe Asthma: A Pilot Study.Journal of personalized medicine · 2021Article
- Treatable Mechanisms in Asthma.Molecular diagnosis & therapy · 2021Article
- Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0.Respiratory research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a frequent heterogeneous multifactorial chronic disease whose severe forms remain largely uncontrolled despite the availability of many drugs and educational therapy. Several phenotypes and endotypes of severe asthma have been described over the last two decades. Typical type-2-immunity-driven asthma remains the most frequent phenotype, and several targeted therapies have been developed and are now available. On the contrary, non-type-2 immunity-driven severe asthma is less understood and still requires efficient innovative therapies. A personalized approach would allow improving asthma control with the help of robust biomarkers able to predict phenotypes/endotypes, exacerbations, response to targeted treatments and, in the future, possible curative options. Some data from large multicenter cohorts have emerged in recent years, especially in transcriptomics. These data have to be integrated and reproduced longitudinally to provide a systems approach for asthma care. In this focused review, the needs for such an approach and the available data will be reviewed as well as the next steps for achieving personalized medicine in 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.