Evidence map›Paper›PMID 32923833›Full record

ArticleHepatology communications2020

Nonalcoholic Fatty Liver Disease Increases the Risk of Anxiety and Depression.

Christian Labenz, Yvonne Huber, Maurice Michel, Michael Nagel, Peter R Galle, Karel Kostev, Jörn M Schattenberg

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 pooled it
9.7field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 3 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Christian LabenzI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.
Yvonne HuberI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.
Maurice MichelI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.
Michael NagelI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.
Peter R GalleI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.
Karel KostevEpidemiology IQVIA Frankfurt Germany.
Jörn M SchattenbergI. Department of Medicine University Medical Center of the Johannes Gutenberg University Mainz Germany.ORCID https://orcid.org/0000-0002-4224-4703
Johannes Gutenberg University Mainz · DEIQVIA (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD), depression, and anxiety disorders are frequent diseases, and data on mutual influence are inconsistent. The aim of this study was to explore the incidence of depression and anxiety in a large primary care cohort in Germany and to study the impact of NAFLD over a 10-year time frame. Patients with NAFLD diagnosed between 2010 and 2015 were matched to a cohort without NAFLD controlling for age, sex, physician, index year, and Charlson comorbidity index. The primary outcome of the study was the incidence of depression, anxiety, and first prescription of antidepressant drugs. We compared 19,871 patients with NAFLD to 19,871 matched controls. Within 10 years of the index date, 21.2% of patients with NAFLD and 18.2% of controls were diagnosed with depression (

Identifiers

PMID32923833
PMCPMC7471420
OpenAlexW3036926094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.