SynthesisRenal failure2022
The value of urinary interleukin-18 in predicting acute kidney injury: a systematic review and meta-analysis.
Synthesis in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Urinary NGAL and trehalase predict end-stage kidney disease in ANCA-associated vasculitis: a prospective cohort study.Renal failure · 2026Article
- Human biomarker navigator.iMeta · 2026Review
- Transition from acute kidney injury to chronic kidney disease: molecular mechanisms and therapeutic interventions.Molecular biomedicine · 2026Review
- Acute Kidney Injury Biomarkers in Perioperative Care: A Scoping Review of Clinical Implementation.Diagnostics (Basel, Switzerland) · 2025Review
- Association between the C-reactive protein-triglyceride-glucose index (CTI) and the risk of acute kidney injury in critically ill patients with cirrhosis.BMC nephrology · 2025Article
- Employing urinary biomarkers in predicting renal recovery three months after in-hospital acute kidney injury.Renal failure · 2025Article
- Kidneys on the Frontline: Nephrologists Tackling the Wilds of Acute Kidney Injury in Trauma Patients-From Pathophysiology to Early Biomarkers.Diagnostics (Basel, Switzerland) · 2025Review
- Advances in the diagnosis of early biomarkers for acute kidney injury: a literature review.BMC nephrology · 2025Review
- Acute kidney injury due to gentamicin nephrotoxicity and specific miRNAs as biomarkers.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025Review
- An early HMGB1 rise 12 hours before creatinine predicts acute kidney injury and multiple organ failure in a smoke inhalation and burn swine model.Frontiers in immunology · 2024Article
- Gut microbiota and neonatal acute kidney injury biomarkers.Pediatric nephrology (Berlin, Germany) · 2023Review
- KIM-1, IL-18, and NGAL, in the Machine Learning Prediction of Kidney Injury among Children Undergoing Hematopoietic Stem Cell Transplantation-A Pilot Study.International journal of molecular sciences · 2023Article
- Serum and Urinary Biomarkers in COVID-19 Patients with or without Baseline Chronic Kidney Disease.Journal of personalized medicine · 2023Article
- The Molecular Mechanism and Therapeutic Strategy of Cardiorenal Syndrome Type 3.Reviews in cardiovascular medicine · 2023Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe aim of this study was to systematically review relevant studies to evaluate the value of urinary interleukin-18 (uIL-18) in predicting acute kidney injury (AKI).
methodsA comprehensive search of PubMed, Medline, Embase, and Cochrane Library was conducted for literature published up to 1 August 2022. Quality Assessment Tool for Diagnostic Accuracy Studies-2 (QUADAS-2) was applied to assess the literature quality. Then, relevant data were extracted from each eligible study and a random-effects regression model was utilized to pool sensitivity, specificity, and construct summary receiver operating characteristic (SROC) and area under curve (AUC).
resultsTwenty-six studies with 7183 patients were enrolled and relevant information was extracted. The estimated sensitivity and specificity of uIL-18 in the diagnosis of AKI were 0.64 (95% confidence interval (CI): 0.54-0.73) and 0.77 (95%CI: 0.71-0.83), respectively. The pooled diagnostic odds ratio (DOR) was 6.08 (95%CI: 3.63-10.18), and the AUC of uIL-18 in predicting AKI was 0.78 (95%CI: 0.74-0.81). Subgroup analysis showed that uIL-18 in pediatric patients was more effective in predicting AKI than in adults (DOR: 7.33 versus 5.75; AUC: 0.81 versus 0.77).
conclusionsUrinary IL-18 could be a relatively good biomarker with moderate predictive value for AKI, especially in pediatric patients. However, further research and clinical settings are still needed to validate our findings.
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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.