ArticleBlood2014
Core fucosylation and IgG function in NAIT.
Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 5 citations in OpenAlex.
- SARS-CoV-2 infection of phagocytic immune cells and COVID-19 pathology: Antibody-dependent as well as independent cell entry.Frontiers in immunology · 2022Review
- Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry.Scientific reports · 2020Article
Corrections and comments
- Comment on
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
In this issue of Blood, Kapur et al show that maternal human platelet-specific antigen 1a (HPA 1a)-specific antibodies causing neonatal alloimmune thrombocytopenia (NAIT) possess oligosaccharides that are deficient in "core fucose" residues and appear to be more effective than fucosylated antibodies in promoting phagocytosis of antibody-coated platelets.
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.