SynthesisAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2020
Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy: A Systematic Review and Meta-analysis.
Synthesis in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04901169 (Angiotensin II in Liver Transplantation), which is not on this map. Cited by 85 papers, 5 of them syntheses that pooled 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.
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.
Angiotensin II in Liver Transplantation (AngLT-1): A Pilot Randomized Controlled Trial
Who cites it
85 citing papers in PubMed, 5 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- Novel biomarkers for predicting successful liberation of renal replacement therapy for acute kidney injury: a systematic review.Critical care (London, England) · 2025Pooled it
- Evaluation of diagnostic accuracy of urine neutrophil gelatinase-associated lipocalin in patients with symptoms of urinary tract infections: a meta-analysis.Frontiers in pediatrics · 2024Pooled it
- Biomarkers for prediction of acute kidney injury in pediatric patients: a systematic review and meta-analysis of diagnostic test accuracy studies.Pediatric nephrology (Berlin, Germany) · 2023Pooled it
- Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis.Critical care (London, England) · 2022Pooled it
- Neutrophil gelatinase-associated lipocalin as predictor of acute kidney injury requiring renal replacement therapy: A systematic review and meta-analysis.Frontiers in medicine · 2022Pooled it
- The effect of prednisolone ingestion and acute exercise on lipocalin-2 and its variants in young men: a pilot randomised crossover study.Scientific reports · 2025Trial
- Urinary NGAL and trehalase predict end-stage kidney disease in ANCA-associated vasculitis: a prospective cohort study.Renal failure · 2026Article
- The Landscape of Biomarkers in ICU-Associated AKI: From Protein Markers to Cell-Free Nucleic Acids.Journal of clinical laboratory analysis · 2026Review
- Article
- Urine NGAL adds to serum creatinine in predicting cefepime clearance in critically ill children at high risk of acute kidney injury.International journal of antimicrobial agents · 2026Article
- Renal Biomarkers of Injury as Early Predictors of COVID-19 Associated Acute Kidney Injury: A Prospective Observational Trial (BRICOAKI Study).Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Predicting the Initiation of Continuous Venovenous Hemofiltration in Acute Pancreatitis Patients: The Role of Plasma and Urinary Neutrophil Gelatinase-Associated Lipocalin.Journal of clinical medicine · 2026Article
- Subclinical renal injury in obesity following bariatric surgery: insights from a prospective cohort.Surgical endoscopy · 2026Article
- Concentration and predictive value of plasma neutrophil gelatinase-associated lipocalin in patients with acute pancreatitis and acute kidney injury.World journal of nephrology · 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
- Professor Rinaldo Bellomo: Founder, architect, and choreographer of critical care nephrology.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Review
- Review
- Biomarkers and early-onset acute kidney injury in critically ill COVID-19 patients, a prospective monocentric observational study.BMC nephrology · 2025Observational
- Early Urine Output in the Emergency Room as a Prognostic Indicator for Critically Ill Patients Undergoing Continuous Renal Replacement.Life (Basel, Switzerland) · 2025Article
- Granulocyte and Monocyte Adsorption Therapy in Patients With Sepsis: A Feasibility Study.Artificial organs · 2025Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors at 20 institutions in 19 countries.
Funding
Abstract
RATIONALE &
objectiveThe usefulness of measures of neutrophil gelatinase-associated lipocalin (NGAL) in urine or plasma obtained on clinical laboratory platforms for predicting acute kidney injury (AKI) and AKI requiring dialysis (AKI-D) has not been fully evaluated. We sought to quantitatively summarize published data to evaluate the value of urinary and plasma NGAL for kidney risk prediction. STUDY
designLiterature-based meta-analysis and individual-study-data meta-analysis of diagnostic studies following PRISMA-IPD guidelines. SETTING & STUDY POPULATIONS: Studies of adults investigating AKI, severe AKI, and AKI-D in the setting of cardiac surgery, intensive care, or emergency department care using either urinary or plasma NGAL measured on clinical laboratory platforms. SELECTION CRITERIA FOR STUDIES: PubMed, Web of Science, Cochrane Library, Scopus, and congress abstracts ever published through February 2020 reporting diagnostic test studies of NGAL measured on clinical laboratory platforms to predict AKI. DATA EXTRACTION: Individual-study-data meta-analysis was accomplished by giving authors data specifications tailored to their studies and requesting standardized patient-level data analysis. ANALYTICAL APPROACH: Individual-study-data meta-analysis used a bivariate time-to-event model for interval-censored data from which discriminative ability (AUC) was characterized. NGAL cutoff concentrations at 95% sensitivity, 95% specificity, and optimal sensitivity and specificity were also estimated. Models incorporated as confounders the clinical setting and use versus nonuse of urine output as a criterion for AKI. A literature-based meta-analysis was also performed for all published studies including those for which the authors were unable to provide individual-study data analyses.
resultsWe included 52 observational studies involving 13,040 patients. We analyzed 30 data sets for the individual-study-data meta-analysis. For AKI, severe AKI, and AKI-D, numbers of events were 837, 304, and 103 for analyses of urinary NGAL, respectively; these values were 705, 271, and 178 for analyses of plasma NGAL. Discriminative performance was similar in both meta-analyses. Individual-study-data meta-analysis AUCs for urinary NGAL were 0.75 (95% CI, 0.73-0.76) and 0.80 (95% CI, 0.79-0.81) for severe AKI and AKI-D, respectively; for plasma NGAL, the corresponding AUCs were 0.80 (95% CI, 0.79-0.81) and 0.86 (95% CI, 0.84-0.86). Cutoff concentrations at 95% specificity for urinary NGAL were>580ng/mL with 27% sensitivity for severe AKI and>589ng/mL with 24% sensitivity for AKI-D. Corresponding cutoffs for plasma NGAL were>364ng/mL with 44% sensitivity and>546ng/mL with 26% sensitivity, respectively. LIMITATIONS: Practice variability in initiation of dialysis. Imperfect harmonization of data across studies.
conclusionsUrinary and plasma NGAL concentrations may identify patients at high risk for AKI in clinical research and practice. The cutoff concentrations reported in this study require prospective evaluation.
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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.