ArticleERJ open research2023
Roles of real-world evidence in severe asthma treatment: challenges and opportunities.
Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Precision medicine in asthma: endotype stratification, biomarker-guided biologics, and emerging therapeutic strategies.Molecular biology reports · 2026Review
- Real-world characterisation of severe asthma in Greece: results from the Greek Severe Asthma Registry.ERJ open research · 2026Article
- Inhaled Corticosteroid/Long-Acting βAdvances in therapy · 2026Review
- Do biologics improve health outcomes in children with severe asthma? A cohort study.ERJ open research · 2026Article
- Characteristics and asthma control status in the Korean Severe Asthma Registry-2: a real-world analysis.ERJ open research · 2026Article
- Disease finds its identity with treatment in the real world: the use of gefapixant in chronic cough.ERJ open research · 2025Article
- Monoclonal antibodies in severe asthma: outcomes from real-world data.Frontiers in medicine · 2025Article
- Biologics in severe asthma: a state-of-the-art review.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Asthma prescribing trends, inhaler adherence and outcomes: a Real-World Data analysis of a multi-ethnic Asian Asthma population.NPJ primary care respiratory medicine · 2024Article
- Big Data Research on Severe Asthma.Tuberculosis and respiratory diseases · 2024Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in asthma research have led to the development of novel biologicals that hinder the pathological actions of key molecules in severe asthma. Traditional randomised controlled studies (RCTs), the gold standard for evaluating the efficacy and safety of medical interventions with excellent internal validity, have proven the clinical benefits and favourable safety profiles of type 2 biologicals in severe asthma. However, RCTs are not always ideal because of shortcomings such as limited external validity and practical issues in the management of severe asthma that cannot be solved through strictly designed clinical trials. Thus, the applicability of their findings may be questioned because treatment adherence is frequently poor in the real world. Real-world evidence includes a wide range of real-world data (RWD) collected from multiple sources in clinical practice, such as electronic medical records, healthcare insurance claims and retrospective or prospective patient registries. RWD may help clinicians decide how to manage patients with severe asthma. Real-world evidence is also gaining attention in addressing clinical questions not answered by traditional RCTs. Because there are various types of RWD with different possibilities and limitations, it is important to decide which type of RWD could be "fit for purpose" to address a specific question. This narrative review discusses the challenges and opportunities of RWD for evaluating the effectiveness and clinical outcomes of biological treatments for severe asthma.
Identifiers
What 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.