Evidence map›Paper›PMID 42788135›Full record

ArticleIndian journal of endocrinology and metabolism

Serum Cell-Free DNA as Predictor of Progression of Kidney Disease in Diabetes: A Single-Center Prospective Study.

Jatin K Majhi, Padala R Kumar, Deepak K Dash, Debasish Patro, Bhabani S Dhal, Bandana Dash, Pradosh K Sahu

Abstract read
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Article in Indian journal of endocrinology and metabolism. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jatin K MajhiDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Padala R KumarDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Deepak K DashDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Debasish PatroDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Bhabani S DhalDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Bandana DashDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Pradosh K SahuDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease with significant variability in progression among individuals. Identifying reliable biomarkers to predict DKD progression remains a critical unmet need. This study aimed to evaluate the role of cell-free DNA (cfDNA) as a biomarker for predicting the progression of DKD in patients with type 2 diabetes mellitus (T2DM). Methods: In this prospective study, T2DM patients aged 18-80 years with DKD (estimated glomerular filtration rate [eGFR] 20-60 ml/min/1.73 m² and/or urinary albumin-to-creatinine ratio (UACR) 30-300 mg/gm) were recruited and were followed every 6 months for 18 months. Progression was defined as a ≥20% decline in eGFR and/or UACR > 300 mg/gm. Baseline cfDNA was retrospectively analyzed for progression of DKD. Multiple logistic regression analysis was performed to explore the association between cfDNA and the progression of DKD by adjusting in different models. Results: Out of 154 T2DM patients with DKD, 140 participants completed the study and progression was found to be in 63 (45%) of patients. Median baseline cfDNA levels were significantly higher in the progressive group than in the nonprogressive group (197.23 ng/ml vs. 138.79 ng/ml, Conclusion: cfDNA independently predicts DKD progression in T2DM patients. However, future large-scale, long-term studies are necessary to validate these findings for clinical application.

Indexed as

Albumin-to-creatinine ratiocell-free DNAdiabetic kidney diseaseestimated glomerular filtration rate

Identifiers

PMID42788135
PMCPMC13609919

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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.