Evidence map›Paper›PMID 31660028›Full record

ReviewWorld journal of gastroenterology2019

Gut-liver axis signaling in portal hypertension.

Benedikt Simbrunner, Mattias Mandorfer, Michael Trauner, Thomas Reiberger

Open access · greenAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
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  11. Observational
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  20. Gut Microbiota and Biomarkers of Endothelial Dysfunction in Cirrhosis.International journal of molecular sciences · 2024
    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

4 authors at 1 institution in 1 country.

Benedikt SimbrunnerDepartment of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1180, Austria.
Mattias MandorferDepartment of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1180, Austria.
Michael TraunerDepartment of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1180, Austria.
Thomas ReibergerDepartment of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1180, Austria. thomas.reiberger@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Portal hypertension (PHT) in advanced chronic liver disease (ACLD) results from increased intrahepatic resistance caused by pathologic changes of liver tissue composition (structural component) and intrahepatic vasoconstriction (functional component). PHT is an important driver of hepatic decompensation such as development of ascites or variceal bleeding. Dysbiosis and an impaired intestinal barrier in ACLD facilitate translocation of bacteria and pathogen-associated molecular patterns (PAMPs) that promote disease progression

Indexed as

AnimalsBacterial TranslocationDisease Models, AnimalDisease ProgressionDysbiosisGastrointestinal MicrobiomeHumansHypertension, PortalIntestinal MucosaLiverLiver CirrhosisPathogen-Associated Molecular Pattern MoleculesPermeabilityPathogen-Associated Molecular Pattern MoleculesBacterial translocationCirrhosisFarnesoid X receptorGut-liver axisIntestinal barrierPortal hypertension

Identifiers

PMID31660028
PMCPMC6815800
OpenAlexW2980517362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.