ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2019
ARNT as a Novel Antifibrotic Target in CKD.
Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Cholesterol Metabolism in Chronic Kidney Disease: Physiology, Pathologic Mechanisms, and Treatment.Advances in experimental medicine and biology · 2022Article
- PP2A phosphatase inhibition is anti-fibrotic through Ser77 phosphorylation-mediated ARNT/ARNT homodimer formation.Scientific reports · 2021Article
- Temporal and tissue-specific activation of aryl hydrocarbon receptor in discrete mouse models of kidney disease.Kidney international · 2020Article
- The Aryl Hydrocarbon Receptor in Chronic Kidney Disease: Friend or Foe?Frontiers in cell and developmental biology · 2020Review
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Authors and funding
1 author.
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Abstract
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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.