ArticleJournal of clinical and experimental hepatology
Neutrophil Gelatinase-associated Lipocalin Predicts Short-term Outcomes in Decompensated Cirrhosis With Acute Kidney Injury.
Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Urinary neutrophil gelatinase-associated lipocalin: a key biomarker for differentiating acute kidney injury and predicting short-term mortality in liver cirrhosis patients.Renal failure · 2026Observational
- Inflammatory Signatures and Biomarkers: The Renal-Vesical Axis in Alzheimer Progression.International neurourology journal · 2026Article
- Clinical diagnosis and biomarkers of acute kidney injury in liver cirrhosis: a systematic review.Therapeutic advances in gastroenterology · 2026Review
- Advances in the diagnosis of early biomarkers for acute kidney injury: a literature review.BMC nephrology · 2025Review
- Evaluation of Acute Kidney Injury (AKI) Biomarkers FABP1, NGAL, Cystatin C and IL-18 in an Indian Cohort of Hospitalized Acute-on-chronic Liver Failure (ACLF) Patients.Journal of clinical and experimental hepatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and aims: Acute kidney injury (AKI) increases mortality in cirrhosis. Early identification of the cause of AKI helps in planning appropriate management. We aimed to find whether neutrophil gelatinase-associated lipocalin (NGAL) can be used to differentiate between different types of AKI in cirrhosis and predict short-term outcomes in patients with decompensated cirrhosis and AKI. Method: This was a time-bound study in which consecutive hospitalized patients with cirrhosis and AKI were prospectively recruited and managed as per standard care. Acute on chronic liver failure (ACLF) was diagnosed as per the EASL-CLIF Acute-on-Chronic Liver Failure in Cirrhosis (CANONIC) criteria. Urine NGAL was measured by enzyme-linked immunosorbent assay (ELISA) by Epitope Diagnostics Inc. kit (San Diego, USA.) in all patients on admission, and patients were followed up until hospital discharge or death. Results: A total of 110 consecutive patients (median [range] age: 44 [28-81] years;87.3%were male; ACLF: 71.8%; acute decompensation 28.2%; Model for end-stage liver disease (MELD) 27 [13-46]; Child-Turcotte-Pugh (CTP) 11 [7-15]) with cirrhosis and AKI were recruited. Alcohol was the most common etiology of cirrhosis(64.5%)). Pre-renal azotemia (PRA) was the most common cause of AKI (n = 56). Urine NGAL was significantly elevated in acute tubular necrosis (ATN) (1747 [6-6141] ng/ml than in hepatorenal syndrome (HRS) (379 [33.5-2320] ng/ml; Conclusion: NGAL can differentiate between different types of AKI in cirrhosis and predict the need for hemodialysis and mortality in decompensated cirrhosis with AKI.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.