Evidence mapPaperPMID 41618173Full record

ArticleBMC nephrology2026

Predictive role and clinical correlation of copeptin in patients with type 2 diabetes mellitus associated nephropathy approaching end-stage renal disease.

Tooba Noor, Zareen Kiran, Muhammad Tassaduq Khan, Farina Hanif

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Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tooba NoorDepartment of Physiology, Dow University of Health Sciences, OJHA Campus, SUPARCO Road, Karachi, 75270, Pakistan.
Zareen KiranNational Institute of Diabetes and Endocrinology, Dow University of Health Sciences, OJHA Campus, SUPARCO Road, Karachi, 75270, Pakistan.
Muhammad Tassaduq KhanDepartment of Nephrology, Dow University Hospital, Dow University of Health Sciences, OJHA Campus, SUPARCO Road, Karachi, 75270, Pakistan.
Farina HanifDepartment of Biochemistry, Dow International Medical College, Dow University of Health Sciences, OJHA Campus, SUPARCO Road, Karachi, 75270, Pakistan. farina.hanif@duhs.edu.pk.ORCID 0000-0002-7458-8367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic Kidney Disease (DKD) is the leading cause of End Stage Renal Disease (ESRD). Arginine Vasopressin (AVP) plays pivotal roles in osmoregulation and renal water conservation. As patients with DKD are prone to develop osmotic irregularities, AVP is therefore, a potential pathophysiological target for disruption. Copeptin, a surrogate marker of AVP, is preferred over AVP due to comparatively greater stability and longer half-life. The study is designed to correlate the copeptin levels among subjects with Type 2 Diabetes Mellitus (DM) with worsening renal outcomes.

methodsIt was a comparative cross-sectional study on 120 subjects with T2DM who were stratified into progressive deteriorating stages of chronic kidney disease (CKD) as per NKF KDOQI guidelines. Different biochemical variables HbA1c, serum BUN, serum creatinine UACR and GFR were done from the affiliated lab. Serum copeptin levels were determined using Copeptin sandwich ELISA technique. Data was analyzed through Statistical Program for Social Sciences (SPSS).

resultsOut of the 120 subjects that were recruited for study, 30% of subjects (n = 36) developed severely decreased kidney function with GFR less than 30mL/min/1.73m2. Copeptin levels were seen to be increased with progressive stages of albuminuria (175.8 ± 148.4 pg/ml, 221.2 ± 213.1 pg/ml and 385.3 ± 288.4 pg/ml at UACR stage 1, 2 and 3, respectively) with positive correlation i.e. r = 0.375, p = ≤ 0.001. It was also found to be negatively correlated with declining GFR i.e. from 195.8 ± 174.1 pg/ml at stage 1 CKD to 291.7 ± 268.8 pg/ml at stage 5 CKD (r = -0.409, p = ≤ 0.001).

conclusionsIncrease in serum copeptin levels from stage 1 to stage 5 of CKD suggest its predictive role in T2DM associated nephropathy, supporting its potential role as an early biomarker. Early detection may help delay ESRD progression through timely interventions.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesGlycopeptidesKidney Failure, ChronicAgedBiomarkersCross-Sectional StudiesDisease ProgressionFemaleGlomerular Filtration RateHumansMaleMiddle AgedPredictive Value of TestsBiomarkerscopeptinsGlycopeptidesAlbuminuriaArginine vasopressinCopeptinDiabetic nephropathyEnd stage renal diseaseGlomerular filtration rate and type 2 diabetes mellitus.

Identifiers

PMID41618173
PMCPMC12933918

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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 Socratic graph.