Evidence map›Paper›PMID 30088425›Full record

Trial reportBiomarkers in medicine2018

Urinary neutrophil gelatinase-associated lipocalin-guided risk assessment for major adverse kidney events after open-heart surgery.

Christian Albert, Annemarie Albert, Rinaldo Bellomo, Siegfried Kropf, Prasad Devarajan, Sabine Westphal, Hassina Baraki, Ingo Kutschka, Christian Butter, Michael Haase and 1 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Biomarkers in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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

11 authors at 7 institutions in 3 countries.

Christian AlbertMedical Faculty, Otto-von-Guericke University, Magdeburg, ST, Germany.
Annemarie AlbertMedical Faculty, Otto-von-Guericke University, Magdeburg, ST, Germany.
Rinaldo BellomoSchool of Medicine, Intensive Care Unit, Austin Hospital, Heidelberg, VIC, 3084 Australia.
Siegfried KropfInstitute for Biometrics & Medical Informatics, Otto-von-Guericke University, Magdeburg, ST, Germany.
Prasad DevarajanDivision of Nephrology & Hypertension, Cincinnati Children's Hospital, Cincinnati, OH 45229, USA.
Sabine WestphalInstitute of Laboratory Medicine, Hospital Dessau, Dessau, ST, Germany.
Hassina BarakiDepartment of Thoracic, Cardiac & Vascular Surgery, University of Göttingen, Göttingen, NI, Germany.
Ingo KutschkaDepartment of Thoracic, Cardiac & Vascular Surgery, University of Göttingen, Göttingen, NI, Germany.
Christian ButterBrandenburg Medical School (MHB), Brandenburg an der Havel, BB, Germany.
Michael HaaseMedical Faculty, Otto-von-Guericke University, Magdeburg, ST, Germany.
Anja Haase-FielitzBrandenburg Medical School (MHB), Brandenburg an der Havel, BB, Germany.
Otto-von-Guericke University Magdeburg · DEImmanuel Klinikum Bernau · DEUniversity of Göttingen · DEAustin Hospital · AUCincinnati Children's Hospital Medical Center · USKlinikum Brandenburg · DEStädtisches Klinikum Dessau · DE

Funding

Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
NIDDK NIH HHS P50 DK096418
6 · The paper itself

Abstract

aimTo assess weather doctors' clinical risk-assessment for major adverse kidney events (MAKE) and acute kidney injury (AKI) after open-heart surgery would improve when being informed about neutrophil gelatinase-associated lipocalin (NGAL) test result at ICU admission. PATIENTS &

methodsClinical risk-assessment for MAKE and AKI were performed with and without providing NGAL test result and compared in an exploratory- and a validation-cohort using reclassification metrics, exemplary category-free net reclassification improvement (cfNRI).

resultsExploratory cohort: doctors' prediction of MAKE (cfNRI = 0.750 [0.130-1.370]; p = 0.018) and AKI (cfNRI = 0.565 [0.001-1.129]; p = 0.049) improved being provided with NGAL test information. This finding was confirmed in the validation-cohort (MAKE cfNRI = 0.930 [0.188-1.672]; p = 0.014) and the combined-cohort (MAKE: cfNRI = 0.847 [0.371-1.323], p < 0.001); AKI: cfNRI = 0.468 [0.099-0.836; p = 0.013]). Improvements mostly generated from correctly reclassifying patients who not developed events (p < 0.001).

conclusionBiomarker informed risk-assessment is superior in predicting MAKE and AKI after open-heart surgery.

Indexed as

Acute Kidney InjuryAgedBiomarkersCardiac Surgical ProceduresDouble-Blind MethodFemaleHumansLipocalin-2MaleMiddle AgedPostoperative ComplicationsRisk AssessmentBiomarkersLCN2 protein, humanLipocalin-2acute kidney injury (AKI)cardiac surgerymajor adverse kidney events (MAKE)neutrophil gelatinase-associated lipocalin (NGAL)risk prediction

Identifiers

PMID30088425
PMCPMC6219442
OpenAlexW2886881135

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.