Evidence map›Paper›PMID 25798585›Full record

Trial reportPloS one2015

Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery.

Ivan Gocze, Matthias Koch, Philipp Renner, Florian Zeman, Bernhard M Graf, Marc H Dahlke, Michael Nerlich, Hans J Schlitt, John A Kellum, Thomas Bein

2 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 75 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 6 pooled it
12.9field-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.

NCT02553174 terminatednot on this mapstarted 2016, after this paper: background citation

Acute Kidney Injury and Nonsteroidal Anti-inflammatory Drugs in Patients Undergoing High-risk Abdominal or Thoracic Surgery

TypeobservationalSponsorMilton S. Hershey Medical CenterRan2016 to 2018Enrolled50ConditionsAcute Kidney Injury
NCT03880110 unknown statusnot on this mapstarted 2019, after this paper: background citation

Combination of Biomarkers, Urine Sedimentation and Renal Resistive Index for Early Prediction of Acute Kidney Injury in High Risk Patients After Non-cardiac Surgery: a Prospective Observational Cohort Study

TypeobservationalSponsorPeking University First HospitalRan2019 to 2021Enrolled1,000ConditionsAcute Kidney Injury
3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 6 syntheses or guidelines pooled it, 164 citations in OpenAlex.

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  18. Role of Urinary Biomarkers TIMP-2 and IGFBP7 in Predicting Acute Kidney Injury in Critically Ill Trauma Patients: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  19. Observational
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15 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

10 authors at 2 institutions in 2 countries.

Ivan GoczeDepartment of Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Matthias KochDepartment of Trauma Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Philipp RennerDepartment of Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Florian ZemanCenter for Clinical Studies, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Bernhard M GrafDepartment of Anesthesiology, University Medical Center Regensburg, Franz-Josef- Strauss-Allee 11, 93053 Regensburg, Germany.
Marc H DahlkeDepartment of Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Michael NerlichDepartment of Trauma Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
Hans J SchlittDepartment of Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
John A KellumCenter for Critical Care Nephrology and CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15621, United States of America.
Thomas BeinDepartment of Surgery, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany; Center for Clinical Studies, University Medical Center Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg, Germany.
University Hospital Regensburg · DEUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the ability of the urinary biomarkers IGFBP7 (insulin-like growth factor-binding protein 7) and TIMP-2 (tissue inhibitor of metalloproteinase 2) to early predict acute kidney injury (AKI) in high-risk surgical patients.

introductionPostoperative AKI is associated with an increase in short and long-term mortality. Using IGFBP7 and TIMP-2 for early detection of cellular kidney injury, thus allowing the early initiation of renal protection measures, may represent a new concept of evaluating renal function.

methodsIn this prospective study, urinary [TIMP-2]×[IGFBP7] was measured in surgical patients at high risk for AKI. A predefined cut-off value of [TIMP-2]×[IGFBP7] >0.3 was used for assessing diagnostic accuracy. Perioperative characteristics were evaluated, and ROC analyses as well as logistic regression models of risk assessment were calculated with and without a [TIMP-2]×[IGFBP7] test.

results107 patients were included in the study, of whom 45 (42%) developed AKI. The highest median values of biomarker were detected in septic, transplant and patients after hepatic surgery (1.24 vs 0.45 vs 0.47 ng/l²/1000). The area under receiving operating characteristic curve (AUC) for the risk of any AKI was 0.85, for early use of RRT 0.83 and for 28-day mortality 0.77. In a multivariable model with established perioperative risk factors, the [TIMP-2]×[IGFBP7] test was the strongest predictor of AKI and significantly improved the risk assessment (p<0.001).

conclusionsUrinary [TIMP-2]×[IGFBP7] test sufficiently detect patients with risk of AKI after major non-cardiac surgery. Due to its rapid responsiveness it extends the time frame for intervention to prevent development of AKI.

Indexed as

UrinalysisAcute Kidney InjuryBiomarkersCell Cycle CheckpointsFemaleHumansInsulin-Like Growth Factor Binding ProteinsKidneyMaleMiddle AgedPerioperative PeriodPostoperative ComplicationsRisk AssessmentROC CurveTime FactorsTissue Inhibitor of Metalloproteinase-2Biomarkersinsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsTIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2

Identifiers

PMID25798585
PMCPMC4370650
OpenAlexW2156478694

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.