Evidence map›Paper›PMID 30140016›Full record

ArticleScientific reports2018

Urine neutrophil gelatinase-associated lipocalin predicts outcome and renal failure in open and endovascular thoracic abdominal aortic aneurysm surgery.

A Gombert, I Prior, L Martin, J Grommes, M E Barbati, A C Foldenauer, G Schälte, G Marx, T Schürholz, A Greiner and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Observational
  3. Machine learning model predicts the occurrence of acute kidney injury after open surgery for abdominal aortic aneurysm repair.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  4. Article
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

12 authors at 3 institutions in 2 countries.

A GombertEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany. agombert@ukaachen.de.ORCID 0000-0002-8451-2913
I PriorEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
L MartinDepartment of Intensive Care and Intermediate Care, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.ORCID 0000-0001-8650-5090
J GrommesEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.ORCID 0000-0002-6419-6802
M E BarbatiEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
A C FoldenauerDepartment of Medical Statistics, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.ORCID 0000-0003-2049-3204
G SchälteDepartment of Anesthesiology, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
G MarxDepartment of Intensive Care and Intermediate Care, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
T SchürholzDepartment of Anaesthesia and Intensive Care, University of Rostock, Rostock, Germany.ORCID 0000-0003-3830-3499
A GreinerDepartment of Vascular Surgery, Charité University Hospital Berlin, Berlin, Germany.
M J JacobsEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
J KalderEuropean Vascular Center Aachen, University Hospital Aachen, RWTH Aachen University, Maastricht, Germany.
Maastricht University Medical Centre · NLCharité - Universitätsmedizin Berlin · DEUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urine neutrophil gelatinase-associated lipocalin (uNGAL) has been evaluated as a biomarker for AKI detection and adverse outcome in open and endovascular thoracoabdominal aortic aneurysm surgery. This observational, retrospective study included 52 patients. UNGAL was measured peri-operatively (48 h) and correlated with AKI requiring dialysis, tracheotomy and adverse outcome. Mean patients' age was 64.5 years. A total of 26.9% (n = 14) developed AKI, and 21.1% (n = 11) required dialysis, tracheotomy rate was 19.2% (n = 10) and in-hospital mortality rate was 7.6% (n = 4). uNGAL levels were related to AKI requiring dialysis at ICU (p = 0.0002), need for tracheotomy at baseline and admission on ICU (p = 0.0222, p = 0.0028, respectively), as well as adverse discharge modality (p = 0.0051, p = 0.0048, respectively). Diagnostic quality was good for uNGAL levels at admission to ICU regarding AKI requiring dialysis (sensitivity: 81.8% [48.2-97.7]; specificity: 87.8% [73.8-95.9]; area under the curve (AUC): 0.874 [0.752-0.949]). The diagnostic quality of uNGAL was favorable for the prediction of tracheotomy (sensitivity: 70.0% [34.8-93.3]; specificity: 83.3% [68.6-93.0]; AUC: 0.807 [0.674-0.903]) and adverse discharge (sensitivity: 77.8% [40.0-97.2]; specificity: 83.7% [69.3-93.2]; AUC: 0.817 [0.685-0.910]). uNGAL may be valuable as an post-operative predictor of AKI and adverse outcome after open and endovascular TAAA repair.

Indexed as

Acute Kidney InjuryAdultAgedAged, 80 and overAortic Aneurysm, AbdominalBiomarkersFemaleHumansLipocalin-2MaleMiddle AgedRenal DialysisRetrospective StudiesTracheotomyTreatment OutcomeBiomarkersLipocalin-2

Identifiers

PMID30140016
PMCPMC6107559
OpenAlexW2885627568

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.