Evidence map›Paper›PMID 42058979›Full record

ArticleTurkish journal of medical sciences2026

Role of novel renal biomarkers in predicting the prognosis of patients with chronic kidney disease: a prospective cohort study.

Raghavan Padmanabhan, Kaviya Manoharan, Melina Sahay, Pooja Bhujangarao, Luxitaa Goenka, Solai Priya, Kumarasamy Subramaniyan, Damal Kandadai Sriram, Melvin George

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Raghavan Padmanabhan *Department of Nephrology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0000-0002-7815-7898
Kaviya Manoharan *Centre for Clinical Pharmacology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0000-0003-0733-6140
Melina SahayDepartment of Clinical Research, Hindu Mission Hospital, West Tambaram, Tamil Nadu, India.ORCID https://orcid.org/0009-0006-0518-7590
Pooja BhujangaraoCentre for Clinical Pharmacology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0009-0001-9839-4700
Luxitaa GoenkaCentre for Clinical Pharmacology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0000-0003-3415-2136
Solai PriyaCentre for Clinical Pharmacology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0000-0002-4238-1273
Kumarasamy SubramaniyanDepartment of General Medicine, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-1949-682X
Damal Kandadai SriramDepartment of Diabetology and Endocrinology, Hindu Mission Hospital, West Tambaram, Tamil Nadu, India.ORCID https://orcid.org/0009-0000-2494-6966
Melvin George *Department of Nephrology, Faculty of Medicine and Health Science, SRM Institute of Science and Technology, Kattankulathur, India.ORCID https://orcid.org/0000-0001-7101-8513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Several biomarkers have been assessed for the diagnosis of chronic kidney disease (CKD). However, limited data are available regarding their ability to predict mortality in CKD. The aim of this study was to assess the ability of lipocalin-2, receptor for advanced glycation end products (RAGE), tissue inhibitor of metalloproteinase 1 (TIMP-1), osteopontin, and trefoil factor 3 (TFF-3) in predicting the prognosis of patients with CKD. Materials and methods: We included patients with CKD as defined by an estimated glomerular filtration rate of <60 mL/min/1.73 m Results: The median (with interquartile range) plasma concentrations of lipocalin-2, RAGE, TIMP-1, osteopontin, and TFF-3 were 56.9 (44.72-64.18) ng/mL, 7.1 (4.92-9.56) ng/mL, 46.44 (33.52-47.56) ng/mL, 60.2 (98.9-167.61) ng/mL, and 4.87 (8.03-15.65) ng/mL, respectively. A combined receiver operating characteristic curve was plotted to determine the ability of the novel renal biomarkers to predict mortality in patients with CKD. The cutoff values for lipocalin-2 and RAGE for predicting mortality were 62.48 ng/mL with sensitivity and specificity of 86% and 78% (area under the curve: 0.814; p = 0.007) and 8.5 ng/mL with sensitivity and specificity of 71% and 72% (area under the curve: 0.738; p = 0.04), respectively. Conclusion: Biomarkers including lipocalin-2 and RAGE were assessed in this study and were found to have good predictive value for mortality outcomes in CKD. Future studies should establish the relationship between these novel renal biomarkers and the progression of CKD.

Indexed as

BiomarkersRenal Insufficiency, ChronicAgedFemaleGlomerular Filtration RateHumansLipocalin-2MaleMiddle AgedOsteopontinPrognosisProspective StudiesReceptor for Advanced Glycation End ProductsTissue Inhibitor of Metalloproteinase-1Trefoil Factor-3BiomarkersLCN2 protein, humanLipocalin-2OsteopontinReceptor for Advanced Glycation End ProductsTFF3 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1Trefoil Factor-3chronic kidney diseaseLipocalin-2osteopontinRAGEreceptor for advanced glycation end productsTFF-3TIMP-1tissue inhibitor of metalloproteinase 1trefoil factor 3

Identifiers

PMID42058979
PMCPMC13124214

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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.