ArticleClinical and experimental immunology2021
Historical and new insights into pathogenesis of type 1 diabetes (2).
Article in Clinical and experimental immunology, 2021. 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
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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
1 citing paper in PubMed.
- Type 1 diabetes - What's new in prevention and therapeutic strategies?Pediatric endocrinology, diabetes, and metabolism · 2023Article
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
No grant is acknowledged in the PubMed record.
Abstract
In this second and final part of the collection of articles for the Immunology of Diabetes Society review series on insights into pathogenesis of type 1 diabetes, we present two articles. The first of these covers a debate that took place in the Immunology of Diabetes Society meeting in London 2018, in which five investigators presented a case for specific immune cells/targets to be the 'Achilles Heel of type 1 diabetes'. The second article presents further insights into the generation of post-translationally modified peptides. It focuses upon mechanisms and processes that lead to new potentially autoantigenic targets for CD8
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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.