Evidence map›Paper›PMID 32025330›Full record

ArticleFuture science OA2019

Metabolomic biomarkers are associated with mortality in patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis.

Ayse L Mindikoglu, Cristian Coarfa, Antone R Opekun, Vijay H Shah, Juan P Arab, Konstantinos N Lazaridis, Nagireddy Putluri, Chandrashekar R Ambati, Matthew J Robertson, Sridevi Devaraj and 9 more

Open access · goldAbstract read
In one paragraph

Article in Future science OA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Risk Stratification in Primary Biliary Cholangitis.Journal of clinical medicine · 2023
    Review
  5. 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

19 authors at 6 institutions in 2 countries.

Ayse L MindikogluMargaret M & Albert B Alkek Department of Medicine, Section of Gastroenterology & Hepatology, Baylor College of Medicine, Houston, TX, USA.ORCID https://orcid.org/0000-0003-4598-8692
Cristian CoarfaDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Antone R OpekunMargaret M & Albert B Alkek Department of Medicine, Section of Gastroenterology & Hepatology, Baylor College of Medicine, Houston, TX, USA.
Vijay H ShahDepartment of Medicine, Division of Gastroenterology & Hepatology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Juan P ArabDepartamento de Gastroenterologia, Escuela de Medicina, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Konstantinos N LazaridisDepartment of Medicine, Division of Gastroenterology & Hepatology, Mayo Clinic College of Medicine, Rochester, MN, USA.
Nagireddy PutluriDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Chandrashekar R AmbatiDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Matthew J RobertsonDepartment of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Sridevi DevarajClinical Chemistry & Point of Care Technology, Texas Children's Hospital & Health Centers, Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA.
Prasun K JalalMargaret M & Albert B Alkek Department of Medicine, Section of Gastroenterology & Hepatology, Baylor College of Medicine, Houston, TX, USA.
Abbas RanaMichael E DeBakey Department of Surgery, Division of Abdominal Transplantation, Baylor College of Medicine, Houston, TX, USA.
John A GossMichael E DeBakey Department of Surgery, Division of Abdominal Transplantation, Baylor College of Medicine, Houston, TX, USA.
Thomas C DowlingFerris State University, College of Pharmacy, Grand Rapids, MI, USA.
Matthew R WeirDepartment of Medicine, Division of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Stephen L SeligerDepartment of Medicine, Division of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Jean-Pierre RaufmanDepartment of Medicine, Division of Gastroenterology & Hepatology, University of Maryland School of Medicine, Baltimore, MD, USA.
David W BernardDepartment of Pathology & Genomic Medicine, Houston Methodist Hospital, Houston, TX, USA.
John M VierlingMargaret M & Albert B Alkek Department of Medicine, Section of Gastroenterology & Hepatology, Baylor College of Medicine, Houston, TX, USA.
Baylor College of Medicine · USUniversity of Maryland, Baltimore · USMayo Clinic · USFerris State University · USMethodist Hospital · USPontificia Universidad Católica de Chile · CL

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Epigenetic variation at metastable epialleles: Effects on human obesityR01DK111522 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI COARFA, CRISTIAN, WATERLAND, ROBERT A · 2017 to 2020
$1.8M
NIDDK NIH HHS P30 DK056338NIDDK NIH HHS P30 DK084567NIDDK NIH HHS R01 DK111522
6 · The paper itself

Abstract

aimTo assess the ability of signature metabolites alone, or in combination with the model for end-stage liver disease-Na (MELD-Na) score to predict mortality in patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis. MATERIALS &

methodsPlasma metabolites were detected using ultrahigh-performance liquid chromatography/tandem mass spectrometry in 39 patients with cirrhosis caused by primary biliary cholangitis or primary sclerosing cholangitis. Mortality was predicted using Cox proportional hazards regression and time-dependent receiver operating characteristic curve analyses.

resultsThe top five metabolites with significantly greater accuracy than the MELD-Na score (area under the receiver operating characteristic curve [AUROC] = 0.7591) to predict 1-year mortality were myo-inositol (AUROC = 0.9537), N-acetylputrescine (AUROC = 0.9018), trans-aconitate (AUROC = 0.8880), erythronate (AUROC = 0.8345) and N6-carbamoylthreonyladenosine (AUROC = 0.8055). Several combined MELD-Na-metabolite models increased the accuracy of predicted 1-year mortality substantially (AUROC increased from 0.7591 up to 0.9392).

conclusionPlasma metabolites have the potential to enhance the accuracy of mortality predictions, minimize underestimates of mortality in patients with cirrhosis and low MELD-Na scores, and promote equitable allocation of donor livers.

Indexed as

biomarkercirrhosisliver transplantationMELD-Na scoremetabolitemetabolomicsmortalitymyo-inositolprimary biliary cholangitisprimary sclerosing cholangitis

Identifiers

PMID32025330
PMCPMC6997913
OpenAlexW2995929580

What OpenQuestion holds

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LicenceCC BY
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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.