ArticleClinical kidney journal2017
Serum microRNAs are altered in various stages of chronic kidney disease: a preliminary study.
Article in Clinical kidney journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Uremic Toxins: An Alarming Danger Concerning the Cardiovascular System.Frontiers in physiology · 2021Review
- MicroRNAs in Chronic Kidney Disease: Four Candidates for Clinical Application.International journal of molecular sciences · 2020Review
- Long-Chain Non-Coding RNA (lncRNA) MT1JP Suppresses Biological Activities of Lung Cancer by Regulating miRNA-423-3p/Bim Axis.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
Corrections and comments
- Retraction of
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
[This retracts the article DOI: 10.1093/ckj/sfw060.].
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.