Evidence map›Paper›PMID 30224938›Full record

ArticleDisease markers2018

Visfatin Serum Levels Predict Mortality in Critically Ill Patients.

Alexander Koch, Ralf Weiskirchen, Alexander Krusch, Jan Bruensing, Lukas Buendgens, Ulf Herbers, Eray Yagmur, Ger H Koek, Christian Trautwein, Frank Tacke

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2018. 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
1.6field-weighted citation impact, top 16% 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, 16 citations in OpenAlex.

  1. Article
  2. Inhibition of visfatin alleviates sepsis-induced intestinal damage by inhibiting Hippo signaling pathway.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
    Article
  3. Article
  4. Article
  5. The acute respiratory distress syndrome biomarker pipeline: crippling gaps between discovery and clinical utility.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
  6. Obesity, adipokines and COVID-19.European journal of clinical investigation · 2020
    Article
  7. Review
  8. Article
  9. Resistin and Cardiac Arrest-A Prospective Study.Journal of clinical medicine · 2019
    Article
  10. Review
  11. Review
  12. 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

10 authors at 2 institutions in 2 countries.

Alexander KochDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.
Ralf WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy and Clinical Chemistry, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.ORCID 0000-0003-3888-0931
Alexander KruschDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.
Jan BruensingDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.
Lukas BuendgensDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.ORCID 0000-0003-3677-8511
Ulf HerbersDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.
Eray YagmurMedical Care Center, Dr. Stein and Colleagues, Mönchengladbach, Germany.
Ger H KoekSection of Gastroenterology and Hepatology, Department of Internal Medicine, Maastricht University Medical Centre (MUMC), Maastricht, Netherlands.
Christian TrautweinDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.
Frank TackeDepartment of Medicine III, RWTH-University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany.ORCID 0000-0001-6206-0226
Universitätsklinikum Aachen · DEMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adipokine visfatin, also termed pre-B-cell colony-enhancing factor (PBEF), is mainly derived from adipose tissue but has been implicated in the regulation of innate immune responses. We hypothesized that visfatin could be a potential circulating biomarker in critical illness and sepsis. We therefore measured serum levels of visfatin in a cohort of 229 critically ill medical patients upon admission to the intensive care unit (ICU). In comparison to 53 healthy controls, visfatin levels were significantly elevated in medical ICU patients, especially in patients with sepsis. Visfatin serum concentrations were strongly associated with disease severity and organ failure but did not differ between patients with or without obesity or type 2 diabetes. Visfatin levels correlated with biomarkers of renal failure, liver dysfunction, and other adipokines (e.g., resistin, leptin, and adiponectin) in critically ill patients. High visfatin levels at ICU admission indicated an increased mortality, both at the ICU and during long-term follow-up of approximately two years. Our data therefore demonstrate that circulating visfatin is a valuable biomarker for risk and prognosis assessment in critically ill patients. Furthermore, visfatin seems to be involved in the pathogenesis of excessive systemic inflammation, supporting further research on visfatin as a therapeutic target.

Indexed as

AdipokinesAdultAgedBiomarkersCase-Control StudiesCritical IllnessCytokinesDiabetes Mellitus, Type 2FemaleHumansIntensive Care UnitsMaleMiddle AgedNicotinamide PhosphoribosyltransferaseObesityPrognosisAdipokinesBiomarkersCytokinesNicotinamide Phosphoribosyltransferasenicotinamide phosphoribosyltransferase, human

Identifiers

PMID30224938
PMCPMC6129328
OpenAlexW2888353741

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.