ReviewChinese medical journal2017
Urinary Biomarkers for Chronic Kidney Disease with a Focus on Gene Transcript.
Review in Chinese medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 14 citations in OpenAlex.
- Validation and Evaluation of SPP1 as a Candidate Biomarker for Disease Monitoring in Focal Segmental Glomerulosclerosis.International journal of nephrology and renovascular disease · 2026Article
- Urinary miR-16-5p can be used as a potential marker of endocapillary hypercellularity in IgA nephropathy.Scientific reports · 2023Article
- Exosomal miRNAs in urine associated with children's cardiorenal parameters: a cross-sectional study.Epigenomics · 2021Article
- Review
- Urinary MicroRNAs in Environmental Health: Biomarkers of Emergent Kidney Injury and Disease.Current environmental health reports · 2020Review
- Chronic kidney disease: a review of proteomic and metabolomic approaches to membranous glomerulonephritis, focal segmental glomerulosclerosis, and IgA nephropathy biomarkers.Proteome science · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objective: In the upcoming era of precision medicine, searching for the early, noninvasive biomarkers has been the cornerstone and major challenge in the management of chronic kidney disease (CKD). Urine contains rich biological information which could be the ideal source for noninvasive biomarkers of CKD. This review will discuss the recent advance in urinary biomarker. DATA SOURCES:: This review was based on data in articles published in the PubMed databases up to June 20, 2017, with the following keywords: "Chronic kidney disease", "Biomarker", and "Urine". STUDY SELECTION:: Original articles and important reviews on urinary biomarker were selected for this review.
results: Urinary biomarker studies of CKD mainly focused on urine sediment, supernatant, and urinary extracellular vesicles. The gene transcript (microRNA [miRNA], messenger RNA [mRNA]) biomarkers have been recently shown with diagnostic potential for CKD reflecting kidney function and histological change. However, challenges regarding technique and data analysis need to be resolved before translation to clinic.
conclusions: Different fractions of urine contain rich information for biomarker discovery, among which urine (extracellular vesicles) mRNA, miRNA, might represent promising biomarker for CKD.
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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.