Evidence map›Paper›PMID 32922442›Full record

ArticleFrontiers in genetics2020

Does Cannabis Intake Protect Against Non-alcoholic Fatty Liver Disease? A Two-Sample Mendelian Randomization Study.

Xiaokun Wang, Zhipeng Liu, Wanqing Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Cannabinoids and Chronic Liver Diseases.International journal of molecular sciences · 2022
    Review
  5. Article
  6. 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

3 authors at 3 institutions in 1 country.

Xiaokun WangDepartment of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, United States.
Zhipeng LiuDepartment of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN, United States.
Wanqing LiuDepartment of Pharmaceutical Sciences, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, United States.
Eugene Applebaum College of Pharmacy and Health Sciences · USPurdue University West Lafayette · USWayne State University · US

Funding

Fatty Acid Desaturase 1 (FADS1) Variants and Non-alcoholic Fatty Liver DiseaseR01DK106540 · NIDDK · WAYNE STATE UNIVERSITY · PI LIU, WANQING · 2016 to 2020
$1.9M
NIDDK NIH HHS R01 DK106540
6 · The paper itself

Abstract

BACKGROUND AND

aimNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. Previous observational studies suggested that cannabis use may be associated with a lower risk for NAFLD but the causal relationship remains unclear. We aim in this study to examine the causal effect of cannabis consumption on the risk of NAFLD using a Mendelian randomization analysis. Clarifying this causal effect is important for cannabis-based drug discovery for NAFLD.

methodsWe used data from the largest-to-date GWAS meta-analysis on lifetime use of cannabis (yes or no) consisting of three cohorts [International Cannabis Consortium (ICC), 23andMe, and the UK Biobank] of European ancestry (total

resultsThere was no statistically significant causal effect between either the lifetime cannabis use, cannabis use dependence or CUD and the risk for NAFLD (

conclusionOur results demonstrated no evidence that cannabis consumption has a causal effect of protection against the development of NAFLD.

Indexed as

cannabisGWASmarijuanaMendelian randomizationnon-alcoholic fatty liver disease

Identifiers

PMID32922442
PMCPMC7457051
OpenAlexW3049294186

What OpenQuestion holds

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LicenceCC BY
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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.