ReviewAsthma research and practice2018
Biomarkers in asthma: state of the art.
Review in Asthma research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed.
- Unsupervised Machine-Learning-Based Endotype Discovery Using Iterative Resampling in Dupilumab-Treated Patients.International journal of molecular sciences · 2026Article
- Quality of life among asthmatic schoolchildren in Saudi Arabia: a mixed-method study.European journal of pediatrics · 2026Article
- Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.Current allergy and asthma reports · 2026Review
- Dysregulated serum levels of human tissue kallikreins, hK7 and hK10, as potential biomarkers of asthma.Biochemistry and biophysics reports · 2026Article
- Prognostic Predictors of Bronchial Thermoplasty for Symptom Control in Severe Asthma.Journal of asthma and allergy · 2026Article
- Asthma-Associated COPD Etiotype: Clinical Features and Inflammatory Patterns in Biological Samples.Journal of personalized medicine · 2025Article
- Seasonal variation of pediatric asthma exacerbations and its association with asthma phenotypes.Pediatric research · 2025Article
- Why Every Asthma Patient Tells a Different Story.Journal of clinical medicine · 2025Article
- Article
- Integration of biobank-scale genetics and plasma proteomics reveals evidence for causal processes in asthma risk and heterogeneity.Cell genomics · 2025Article
- Angiogenesis Factors as Emerging Circulating Biomarkers in Asthma.Allergy, asthma & immunology research · 2025Review
- Identification of MicroRNAs in children with increased asthma bronchodilator usage in genetics of asthma in Costa Rica Study.Pediatric pulmonology · 2024Article
- The epithelial era of asthma research: knowledge gaps and future direction for patient care.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Exploring Inflammatory Asthma Phenotypes: Proteomic Signatures in Serum and Induced Sputum.International journal of molecular sciences · 2024Article
- Overall perspective of electrospun semiconductor metal oxides as high-performance gas sensor materials for NORSC advances · 2024Review
- Review
- Novel Serum Biomarkers for Patients with Allergic Asthma Phenotype.Biomedicines · 2024Article
- Metabolomics in Animal Models of Bronchial Asthma and Its Translational Importance for Clinics.International journal of molecular sciences · 2023Review
- In-silico identification and prioritization of therapeutic targets of asthma.Scientific reports · 2023Article
- Early Prediction of Asthma.Journal of clinical medicine · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a heterogenous disease characterized by multiple phenotypes driven by different mechanisms. The implementation of precision medicine in the management of asthma requires the identification of phenotype-specific markers measurable in biological fluids. To become useful, these biomarkers need to be quantifiable by reliable systems, reproducible in the clinical setting, easy to obtain and cost-effective. Using biomarkers to predict asthma outcomes and therapeutic response to targeted therapies has a great clinical significance, particularly in severe asthma. In the last years, significant research has been realized in the identification of valid biomarkers for asthma. This review focuses on the existent and emerging biomarkers with clinical higher applicability in the management of 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.