Evidence map›Paper›PMID 40004202›Full record

ArticleInternational journal of molecular sciences2025

Distinct Urinary Proteome Changes Across Estimated Glomerular Filtration Rate Stages in a Cohort of Black South Africans.

Siyabonga Khoza, Jaya A George, Previn Naicker, Stoyan H Stoychev, Rethabile J Mokoena, Ireshyn S Govender, June Fabian

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Siyabonga KhozaDepartment of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.ORCID 0000-0001-8068-7460
Jaya A GeorgeNational Health Laboratory Service, Johannesburg 2192, South Africa.
Previn NaickerReSyn Biosciences, Edenvale 1610, South Africa.
Stoyan H StoychevEvosep Biosystems, 5230 Odense, Denmark.
Rethabile J MokoenaFuture Production Chemicals, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.
Ireshyn S GovenderReSyn Biosciences, Edenvale 1610, South Africa.ORCID 0000-0002-5111-5970
June FabianWits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.ORCID 0000-0001-7130-9142

Funding

Discovery Academic Fellowship 040125National Research Foundation NRF: TTK20021950d 5766
6 · The paper itself

Abstract

Kidney function parameters including estimated glomerular filtration rate (eGFR) and urine albumin excretion are commonly used to diagnose chronic kidney disease (CKD). However, these parameters are relatively insensitive, limiting their utility for screening and early detection of kidney disease. Studies have suggested that urinary proteomic profiles differ by eGFR stage, offering potential insights into kidney disease pathogenesis alongside opportunities to increase the sensitivity of current testing strategies. In this study, we characterized and compared the urinary proteome across different eGFR stages in a Black African cohort from rural Mpumalanga Province, South Africa. We stratified 81 urine samples by eGFR stage (mL/min/1.73 m

Indexed as

Glomerular Filtration RateProteomeRenal Insufficiency, ChronicAdultAfrican PeopleAgedBiomarkersBlack PeopleCohort StudiesFemaleHumansMaleMiddle AgedProteomicsROC CurveSouth AfricaBiomarkersProteomealbuminuriabiomarkerchronic kidney diseaseestimated glomerular filtrationurinary proteomics

Identifiers

PMID40004202
PMCPMC11855517

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.