Evidence mapPaperPMID 32679151Full record

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.

Christian Albert, Antonia Zapf, Michael Haase, Christian Röver, John W Pickering, Annemarie Albert, Rinaldo Bellomo, Tobias Breidthardt, Fabrice Camou, Zhongquing Chen and 28 more

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 5 pooled it
11.0field-weighted citation impact, top 1% of its field
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.

NCT04901169 phase2 / phase3active not recruitingnot on this mapstarted 2022, after this paper: background citation

Angiotensin II in Liver Transplantation (AngLT-1): A Pilot Randomized Controlled Trial

TypeinterventionalSponsorUniversity of California, San FranciscoRan2022 to 2027Enrolled50ConditionsLiver Transplant, Complications, VasoplegiaArmsAngiotensin II, Saline
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 5 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  11. 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 · 2026
    Article
  12. Article
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  16. Professor Rinaldo Bellomo: Founder, architect, and choreographer of critical care nephrology.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Review
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  18. Observational
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25 more citing papers are in PubMed but not listed here.

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

38 authors at 20 institutions in 19 countries.

Christian AlbertUniversity Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany. Electronic address: christian.albert@diaverum.com.
Antonia ZapfDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg-Eppendorf, Germany.
Michael HaaseFaculty of Medicine, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany.
Christian RöverDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
John W PickeringDepartment of Medicine, University of Otago Christchurch; Emergency Department, Christchurch Hospital, Christchurch, New Zealand.
Annemarie AlbertDiaverum Renal Services Germany, Potsdam, Germany; Department for Nephrology and Endocrinology, Klinikum Ernst von Bergmann, Potsdam, Germany.
Rinaldo BellomoDepartment of Intensive Care, The Austin Hospital, Melbourne, Australia; Centre for Integrated Critical Care, The University of Melbourne, Melbourne, Australia.
Tobias BreidthardtDepartment of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland.
Fabrice CamouService de réanimation médicale, hôpital Saint-André, CHU de Bordeaux, France.
Zhongquing ChenDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangdong, China.
Sidney ChocronDepartment of Thoracic and Cardio-Vascular Surgery, University Hospital Jean Minjoz, Besançon, France.
Dinna CruzDivision of Nephrology-Hypertension, University of California, San Diego, CA.
Hilde R H de GeusDepartment of Intensive Care, Erasmus University Medical Center, Rotterdam, the Netherlands.
Prasad DevarajanDivision of Nephrology and Hypertension, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH.
Salvatore Di SommaEmergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Sapienza' University of Rome S. Andrea Hospital, Rome, Italy.
Kent DoiDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
Zoltan H EndreDepartment of Nephrology, Prince of Wales Hospital and Clinical School, University of New South Wales, Sydney, Australia.
Mercedes Garcia-AlvarezDepartment of Anesthesiology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Peter B HjortrupDepartment of Intensive Care, Copenhagen University Hospital, Copenhagen, Denmark.
Mina HurDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea.
Georgios KaraolanisVascular Unit, First Department of Surgery, "Laiko" General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Cemil KavalciEmergency Department, Baskent University Faculty of Medicine, Ankara, Turkey.
Hanah KimDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea.
Paolo LentiniDepartment of Nephrology and Dialysis, San Bassiano Hospital, Bassano del Grappa, Italy.
Christoph LiebetrauDepartment of Cardiology, Kerckhoff Clinic, Bad Nauheim, Germany.
Miklós LipcseyCIRRUS, Hedenstierna laboratory, Anaesthesiology and Intensive care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Johan MårtenssonSection of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Christian MüllerDepartment of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland.
Serafim NanasFirst Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Thomas L NickolasColumbia University Vagelos College of Physicians and Surgeons, New York, NY.
Chrysoula PipiliFirst Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Claudio RoncoDepartment of Nephrology, Dialysis & Transplantation, University of Padova, Vicenza, Italy; International Renal Research Institute, San Bortolo Hospital, Vicenza, Italy.
Guillermo J Rosa-DiezDepartment of Nephrology, Dialysis and Transplantation, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Azrina RalibDepartment of Anaesthesiology and Intensive Care, International Islamic University Malaysia, Pahang, Malaysia.
Karina SotoDepartment of Nephrology, Hospital Fernando Fonseca, Lisbon, Portugal; CEAUL, Centro de Estatística e Aplicações da Universidade de Lisboa, Lisbon, Portugal.
Rüdiger C Braun-DullaeusUniversity Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany.
Judith HeinzDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Anja Haase-FielitzDepartment of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences, University of Potsdam, Potsdam, Germany.
National and Kapodistrian University of Athens · GROtto-von-Guericke-Universität Magdeburg · DEKonkuk University · KRUniversitätsmedizin Göttingen · DEUniversity Hospital of Basel · CHBaşkent University · TRCentre Hospitalier Universitaire de Besançon · FRCentre Hospitalier Universitaire de Bordeaux · FRChristchurch Hospital · NZCincinnati Children's Hospital Medical Center · USColumbia University · USCopenhagen University Hospital · DKErasmus MC · NLHospital de Sant Pau · ESHospital Italiano de Buenos Aires · ARInternational Islamic University Malaysia · MYInternational Renal Research Institute of Vicenza · ITKarolinska Institutet · SEKerckhoff Klinik · DEKlinikum Ernst von Bergmann · DE

Funding

NIDDK NIH HHS P50 DK096418
6 · The paper itself

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.

Indexed as

Renal DialysisAcute Kidney InjuryBiomarkersHumansLipocalin-2Predictive Value of TestsBiomarkersLipocalin-2Acute kidney injury (AKI)AKI biomarkerAKI predictionAKI requiring dialysis (AKI-D)cut-off valuediagnostic accuracymeta-analysisneutrophil gelatinase-associated lipocalin (NGAL)plasma NGALrenal replacement therapy (RRT)renal risk assessmenturine NGAL

Identifiers

PMID32679151
PMCPMC8283708
OpenAlexW3042235131

What Socratic holds

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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 Socratic graph.