Evidence map›Paper›PMID 41353114›Full record

ArticleBMC gastroenterology2025

Novel urinary biomarkers to differentiate AKI etiologies and predict mortality in decompensated cirrhosis patients: a prospective cohort study.

Chiranjita Phukan, Anjan Jyoti Talukdar, Sangitanjan Dutta, Saptadweep Saha, Monalisha Saikia Borah, Pinku Mani Talukdar, Bhaskar Jyoti Sarma, Achyut Chandra Baishya, Saswati Sanyal Choudhury, Anuradha Deuri

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In one paragraph

Article in BMC gastroenterology, 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. Article
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

10 authors.

Chiranjita PhukanNalbari Medical College and Hospital, Dakhingaon, Nonoi, Nalbari, Assam, 781350, India. chiranjita7j@gmail.com.
Anjan Jyoti TalukdarGauhati Medical College and Hospital, Bhangagarh, Guwahati, Kamrup (M), Assam, 781032, India.
Sangitanjan DuttaGauhati Medical College and Hospital, Bhangagarh, Guwahati, Kamrup (M), Assam, 781032, India.
Saptadweep SahaGauhati Medical College and Hospital, Bhangagarh, Guwahati, Kamrup (M), Assam, 781032, India.
Monalisha Saikia BorahMultidisciplinary Research Unit (MRU), Gauhati Medical College and Hospital, Guwahati, Assam, India.
Pinku Mani TalukdarMultidisciplinary Research Unit (MRU), Gauhati Medical College and Hospital, Guwahati, Assam, India.
Bhaskar Jyoti SarmaGauhati Medical College and Hospital, Bhangagarh, Guwahati, Kamrup (M), Assam, 781032, India.
Achyut Chandra BaishyaSocial and Preventive Medicine and Principal cum Chief Superintendent, Gauhati Medical College and Hospital, Guwahati, Assam, India.
Saswati Sanyal ChoudhuryObstetrics and Gynecology and Nodal Officer of Multidisciplinary Research Unit (MRU), Gauhati Medical College and Hospital, Guwahati, Assam, India.
Anuradha DeuriGauhati Medical College and Hospital, Bhangagarh, Guwahati, Kamrup (M), Assam, 781032, India.

Funding

Multidisciplinary Research Unit, Department of Health Research (DHR), Government of India Grant Number: GMC&H/MRU/2022/114-03
6 · The paper itself

Abstract

introductionThe differentiation of causes of Acute Kidney Injury (AKI) in decompensated chronic liver disease (DCLD) presents a diagnostic challenge. This study aims to evaluate the diagnostic and prognostic utility of Neutrophil gelatinase-associated lipocalin (NGAL), Kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18) in cirrhotic patients with AKI.

methodsThis prospective cohort study was conducted at a tertiary care hospital in northeast India. Patients (n = 100) were divided into cases comprising decompensated cirrhosis with AKI (n = 50) and controls comprising decompensated cirrhosis without AKI (n = 50). Cases included patients with acute tubular necrosis (ATN) (n = 10), hepatorenal syndrome (HRS) (n = 18), and prerenal azotemia (PRA) (n = 22). Urinary NGAL, IL-18 and KIM-1 were analyzed statistically to distinguish the causes of AKI and predict 90-day mortality.

resultsNGAL [cutoff: 339.6 pg/mL, sensitivity: 80%, specificity: 83.3%, Area Under the Receiver Operating Characteristic Curve (AUROC): 0.867] and IL-18 (cutoff: 67.75 pg/mL, sensitivity: 70%, specificity: 88.9%, AUROC: 0.839) differentiated ATN from HRS. NGAL (cutoff: 358.15 pg/mL, AUROC: 0.878) and IL-18 (67.75 pg/mL, AUROC: 0.885) distinguished ATN from non-ATN cases. IL-18 (cutoff: 30.95 pg/mL, AUROC: 0.732) effectively differentiated HRS from PRA cases. KIM-1 had a modest diagnostic performance comparable to serum creatinine. NGAL significantly predicted 90-day mortality (Adjusted Odds Ratio: 1.024; p = 0.014).

conclusionBoth IL-18 and NGAL can assist clinicians in differentiating the causes of AKI while improving the prognostic ability of existing scores in DCLD patients.

Indexed as

Acute Kidney InjuryInterleukin-18Lipocalin-2Liver CirrhosisAdultAgedAzotemiaBiomarkersDiagnosis, DifferentialFemaleHepatitis A Virus Cellular Receptor 1Hepatorenal SyndromeHumansKidney Tubular Necrosis, AcuteMaleMiddle AgedBiomarkersHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1IL18 protein, humanInterleukin-18LCN2 protein, humanLipocalin-2Acute kidney injuryAcute tubular necrosisDecompensated cirrhosisHepatorenal syndromeIL-18 (interleukin 18)KIM-1 (kidney injury molecule 1)NGAL (lipocalin 2)Pre-renal azotemia

Identifiers

PMID41353114
PMCPMC12784513

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.