ReviewRheumatology (Oxford, England)2025
Translational approaches to the study of eosinophils in vasculitis.
Review in Rheumatology (Oxford, England), 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.
- The cardiovascular-immune axis: crosstalk and therapy in atherosclerosis, myocarditis and vasculitis.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Eosinophil basic biology, including immunoregulatory functions, plays a complex role in a myriad of disorders where eosinophils play a role. Established in vivo and in vitro models and novel emerging techniques for studying eosinophils are integral to parsing the involvement of eosinophils in the pathogenesis of disorders including vasculitis. Knowledge of translational approaches from eosinophil-associated diseases and their application to eosinophilic vasculitis are highlighted. It is becoming increasingly evident that the roles of eosinophils in disease are complex. The use of targeted biological therapies and machine learning has the potential to reveal the contribution of eosinophils in disease pathology.
Indexed as
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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.