Evidence map›Paper›PMID 34858345›Full record

ArticleFrontiers in endocrinology2021

Urinary mRNA Signatures as Predictors of Renal Function Decline in Patients With Biopsy-Proven Diabetic Kidney Disease.

Yu Ho Lee, Jung-Woo Seo, Miji Kim, Donghyun Tae, Junhee Seok, Yang Gyun Kim, Sang-Ho Lee, Jin Sug Kim, Hyeon Seok Hwang, Kyung-Hwan Jeong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Plantaginis Semen Ameliorates Hyperuricemia Induced by Potassium Oxonate.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Yu Ho LeeDivision of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, South Korea.
Jung-Woo SeoDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Miji KimDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Donghyun TaeSchool of Electrical Engineering, Korea University, Seoul, South Korea.
Junhee SeokSchool of Electrical Engineering, Korea University, Seoul, South Korea.
Yang Gyun KimDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Sang-Ho LeeDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Jin Sug KimDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Hyeon Seok HwangDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Kyung-Hwan JeongDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Ju-Young MoonDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, South Korea.
Kyung Hee University · KRKorea University · KRCHA University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical manifestations of diabetic kidney disease (DKD) are more heterogeneous than those previously reported, and these observations mandate the need for the recruitment of patients with biopsy-proven DKD in biomarker research. In this study, using the public gene expression omnibus (GEO) repository, we aimed to identify urinary mRNA biomarkers that can predict histological severity and disease progression in patients with DKD in whom the diagnosis and histologic grade has been confirmed by kidney biopsy. We identified 30 DKD-specific mRNA candidates based on the analysis of the GEO datasets. Among these, there were significant alterations in the urinary levels of 17 mRNAs in patients with DKD, compared with healthy controls. Four urinary mRNAs-

Indexed as

AdultAgedBiomarkersBiopsyCase-Control StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesDisease ProgressionFemaleGlomerular Filtration RateHumansKidneyKidney Failure, ChronicKidney Function TestsMaleMiddle AgedBiomarkersRNA, Messengerbiomarkerdiabetic kidney diseasemRNArenal pathologyurine

Identifiers

PMID34858345
PMCPMC8630698
OpenAlexW3214666799

What OpenQuestion holds

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Registered trials

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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.