ArticleEBioMedicine2020
Retinal disease: How to use proteomics to speed up diagnosis and metabolomics to slow down degeneration.
Article in EBioMedicine, 2020. 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.
- Metabolomics facilitates differential diagnosis in common inherited retinal degenerations by exploring their profiles of serum metabolites.Nature communications · 2024Article
- Metabolic Analysis of Vitreous/Lens and Retina in Wild Type and Retinal Degeneration Mice.International journal of molecular sciences · 2021Article
- Molecular Surgery: Proteomics of a Rare Genetic Disease Gives Insight into Common Causes of Blindness.iScience · 2020Review
- Flavins Act as a Critical Liaison Between Metabolic Homeostasis and Oxidative Stress in the Retina.Frontiers in cell and developmental biology · 2020Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.