ArticleNature2014
Immunology: oiling the wheels of autoimmunity.
Article in Nature, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Adjuvant Efficacy of the ECMS-Oil on Immune Responses againstJournal of immunology research · 2023Article
- Human T cell response to CD1a and contact dermatitis allergens in botanical extracts and commercial skin care products.Science immunology · 2020Article
- Lipids hide or step aside for CD1-autoreactive T cell receptors.Current opinion in immunology · 2018Review
- CD1: From Molecules to Diseases.F1000Research · 2017Review
- Activation of human T cells by CD1 and self-lipids.Immunological reviews · 2015Review
- Bee venom processes human skin lipids for presentation by CD1a.The Journal of experimental medicine · 2015Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
24499914What 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.