Evidence map›Paper›PMID 28613246›Full record

ArticleMolecules (Basel, Switzerland)2017

Serum Uromodulin Levels in Prediction of Acute Kidney Injury in the Early Phase of Acute Pancreatitis.

Beata Kuśnierz-Cabala, Agnieszka Gala-Błądzińska, Małgorzata Mazur-Laskowska, Paulina Dumnicka, Mateusz Sporek, Aleksandra Matuszyk, Krzysztof Gil, Piotr Ceranowicz, Jerzy Walocha, Jakub Kucharz and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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, 17 citations in OpenAlex.

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  12. Plasma Sphingolipids in Acute Pancreatitis.International journal of molecular sciences · 2017
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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

14 authors at 2 institutions in 1 country.

Beata Kuśnierz-CabalaDepartment of Diagnostics, Chair of Clinical Biochemistry, Jagiellonian University Medical College, 31-501 Kraków, Poland. mbkusnie@cyf-kr.edu.pl.
Agnieszka Gala-BłądzińskaSt. Queen Jadwiga Clinical District Hospital No2 in Rzeszow, 35-301 Rzeszów, Poland. agala.edu@gmail.com.
Małgorzata Mazur-LaskowskaDepartment of Diagnostics, University Hospital, 31-501 Kraków, Poland. mbmazur@cyf-kr.edu.pl.
Paulina DumnickaDepartment of Medical Diagnostics, Jagiellonian University Medical College, 30-688 Kraków, Poland. paulina.dumnicka@uj.edu.pl.
Mateusz SporekDepartment of Anatomy, Jagiellonian University Medical College, 31-034 Kraków, Poland. msporek1983@gmail.com.
Aleksandra MatuszykDepartment of Anatomy, Jagiellonian University Medical College, 31-034 Kraków, Poland. aleksandra.matuszyk@uj.edu.pl.
Krzysztof GilDepartment of Pathophysiology, Faculty of Medicine, Jagiellonian University Medical College, 31-121 Kraków, Poland. mpgil@cyf-kr.edu.pl.
Piotr CeranowiczDepartment of Physiology, Jagiellonian University Medical College, 31-531 Kraków, Poland. piotr.ceranowicz@uj.edu.pl.
Jerzy WalochaDepartment of Anatomy, Jagiellonian University Medical College, 31-034 Kraków, Poland. jwalocha@cm-uj.krakow.pl.
Jakub KucharzDepartment of Experimental and Clinical Surgery, Jagiellonian University Medical College, 31-126 Kraków, Poland. jakub.kucharz@uj.edu.pl.
Michał Pędziwiatr2nd Department of Surgery, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Kraków, Poland. michal.pedziwiatr@uj.edu.pl.
Krzysztof BartuśDepartment of Cardiovascular Surgery and Transplantology, Faculty of Medicine, Jagiellonian University Medical College, 31-202 Kraków, Poland. krzysztof.bartus@uj.edu.pl.
Rafał TrąbkaDepartment of Cardiovascular Surgery and Transplantology, Faculty of Medicine, Jagiellonian University Medical College, 31-202 Kraków, Poland. rafal.trabka@uj.edu.pl.
Marek KuźniewskiChair and Department of Nephrology, Jagiellonian University Medical College, 31-501 Kraków, Poland. marek.kuzniewski@uj.edu.pl.
Jagiellonian University · PLUniversity of Rzeszów · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In health, uromodulin is the main protein of urine. Serum uromodulin concentrations (sUMOD) have been shown to correlate with kidney function. Acute kidney injury (AKI) is among the main complications of severe acute pancreatitis (AP). No reports exist on sUMOD in patients with AP, including the diagnostic usefulness for early prediction of AP severity. We measured sUMOD during first 72 h of AP. Sixty-six adult patients with AP were recruited at the surgical ward of the District Hospital in Sucha Beskidzka, Poland. AP was diagnosed according to the Revised Atlanta Classification. Blood samples were collected at 24, 48 and 72 h of AP, and sUMOD concentrations were measured with enzyme-linked immunosorbent test. sUMOD decreased non-significantly during the study. Patients with severe AP had non-significantly lower sUMOD concentrations than those with mild disease. Significant positive correlation was observed between sUMOD and estimated glomerular filtration rate on each day of the study and negative correlations were shown between sUMOD and age, serum creatinine, cystatin C and urea. Patients with AKI tended to have lower sUMOD. Although sUMOD correlated significantly with kidney function in the early phase of AP, measuring sUMOD did not allow to reliably predict AP severity or development of AKI.

Indexed as

Acute Kidney InjuryAdultBiomarkersFemaleGlomerular Filtration RateHumansKidney Function TestsMaleMiddle AgedPancreatitis, Acute NecrotizingPolandUromodulinBiomarkersUromodulinacute kidney injuryacute pancreatitisglycoproteinsuromodulin

Identifiers

PMID28613246
PMCPMC6152627
OpenAlexW2624730189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.