Predictive Biomarkers for Asthma Therapy
Current Allergy and Asthma Reports, ISSN: 1534-6315, Vol: 17, Issue: 10, Page: 69
2017
- 47Citations
- 78Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations47
- Citation Indexes47
- 47
- Captures78
- Readers78
- 78
- Mentions1
- News Mentions1
- 1
Most Recent News
New perspectives of biological therapy for severe asthma in adults and adolescents
Severe asthma is associated with increased morbidity, mortality, healthcare costs and impaired quality of life. Asthma is no longer considered as a single entity but
Review Description
Purpose of Review: Asthma is a heterogeneous disease characterized by multiple phenotypes. Treatment of patients with severe disease can be challenging. Predictive biomarkers are measurable characteristics that reflect the underlying pathophysiology of asthma and can identify patients that are likely to respond to a given therapy. This review discusses current knowledge regarding predictive biomarkers in asthma. Recent Findings: Recent trials evaluating biologic therapies targeting IgE, IL-5, IL-13, and IL-4 have utilized predictive biomarkers to identify patients who might benefit from treatment. Other work has suggested that using composite biomarkers may offer enhanced predictive capabilities in tailoring asthma therapy. Summary: Multiple biomarkers including sputum eosinophil count, blood eosinophil count, fractional concentration of nitric oxide in exhaled breath (FeNO), and serum periostin have been used to identify which patients will respond to targeted asthma medications. Further work is needed to integrate predictive biomarkers into clinical practice.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85029884171&origin=inward; http://dx.doi.org/10.1007/s11882-017-0739-5; http://www.ncbi.nlm.nih.gov/pubmed/28929293; http://link.springer.com/10.1007/s11882-017-0739-5; https://dx.doi.org/10.1007/s11882-017-0739-5; https://link.springer.com/article/10.1007/s11882-017-0739-5
Springer Nature
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