ArticleScience advances2025
T
Article in Science advances, 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.
- Immunopathogenesis and Experimental Models of Alopecia Areata: From Mechanistic Insights to Translational Platforms.Clinical reviews in allergy & immunology · 2026Review
Corrections and comments
- Update of
Authors and funding
15 authors.
Funding
Abstract
Alopecia areata (AA) is an autoimmune disease defined by hair loss and peribulbar infiltrate of CD8 and CD4 T cells. Prior studies have focused on the role of CD8 T cells in the development of AA. Multiple roles for CD4 T cell help have been demonstrated for support of CD8 T cell responses; however, the role of CD4 T cells in AA remains unclear. Here, we demonstrate that CD4 T cells from the skin-draining lymph nodes (SDLNs) of AA mice transferred disease to recipient mice. These cells exhibited a T helper type 1 (T
Indexed as
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.