ArticleERJ open research2025
Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Advances in Biologic Therapies for Allergic Diseases: Current Trends, Emerging Agents, and Future Perspectives.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Asthma is a heterogeneous disease with variable response to treatment. Genetic backgrounds are involved in the severity of type 2 asthma, but their effects on responses to biologics remain unknown. This study aimed to clarify the role of genetic factors in response to biologics in patients with severe asthma. Methods: Adults with severe asthma receiving biologics were enrolled in this multicentre, observational, real-world study. The responses to biologics were evaluated using Physicians' Global Evaluation of Treatment Effectiveness (GETE). Optimal biologic for each patient was also determined based on the best GETE score for the biologic used or currently used biologic. Three single nucleotide polymorphisms ( Results: Among the 113 patients analysed, 53 (46.9%) had an excellent GETE score for at least one biologic. These patients with an excellent GETE score for at least one biologic, particularly for benralizumab, had the risk genotype of rs1420101 more frequently than the remaining patients, independent of the clinical demographics. Regarding the optimal biologic for each patient, anti-IL-5 drugs were optimal for patients with the rs1420101 TT or rs8832 GG genotype. Furthermore, dupilumab was similarly effective, regardless of the risk genotypes examined in this study. Conclusion:
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.