Evidence map›Paper›PMID 31555219›Full record

ReviewFrontiers in endocrinology2019

Gut Dysfunction and Non-alcoholic Fatty Liver Disease.

Felix Grabherr, Christoph Grander, Maria Effenberger, Timon Erik Adolph, Herbert Tilg

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 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

5 authors at 1 institution in 1 country.

Felix GrabherrDepartment of Internal Medicine I, Gastroenterology, Hepatology, Metabolism and Endocrinology, University Hospital Innsbruck, Innsbruck, Austria.
Christoph GranderDepartment of Internal Medicine I, Gastroenterology, Hepatology, Metabolism and Endocrinology, University Hospital Innsbruck, Innsbruck, Austria.
Maria EffenbergerDepartment of Internal Medicine I, Gastroenterology, Hepatology, Metabolism and Endocrinology, University Hospital Innsbruck, Innsbruck, Austria.
Timon Erik AdolphDepartment of Internal Medicine I, Gastroenterology, Hepatology, Metabolism and Endocrinology, University Hospital Innsbruck, Innsbruck, Austria.
Herbert TilgDepartment of Internal Medicine I, Gastroenterology, Hepatology, Metabolism and Endocrinology, University Hospital Innsbruck, Innsbruck, Austria.
University Hospital Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) has emerged as one of the leading liver diseases worldwide. NAFLD is characterized by hepatic steatosis and may progress to an inflammatory condition termed non-alcoholic steatohepatitis (NASH), liver cirrhosis, and hepatocellular carcinoma. It became evident in the last years that NAFLD pathophysiology is complex and involves diverse immunological and metabolic pathways. An association between intestinal signals (e.g., derived from the gut microbiota) and the development of obesity and its metabolic consequences such as NAFLD are increasingly recognized. Pre-clinical studies have shown that germ-free mice are protected against obesity and hepatic steatosis. Several human studies from the past years have demonstrated that NAFLD contains a disease-specific gut microbiome signature. Controlled studies propose that certain bacteria with rather pro-inflammatory features such as Proteobacteria or

Indexed as

diabetesinflammationlivermicrobiotaNAFLD

Identifiers

PMID31555219
PMCPMC6742694
OpenAlexW2969631579

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.