Evidence map›Paper›PMID 35488966›Full record

SynthesisEuropean journal of epidemiology2022

Lifestyle and metabolic factors for nonalcoholic fatty liver disease: Mendelian randomization study.

Shuai Yuan, Jie Chen, Xue Li, Rongrong Fan, Benoit Arsenault, Dipender Gill, Edward L Giovannucci, Ju-Sheng Zheng, Susanna C Larsson

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 5 pooled it
27.7field-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

116 citing papers in PubMed, 5 syntheses or guidelines pooled it, 184 citations in OpenAlex.

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56 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

9 authors at 8 institutions in 5 countries.

Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobelsväg 13, 17177, Stockholm, Sweden.
Jie ChenCentre for Global Health, Zhejiang University School of Medicine, Hangzhou, China.
Xue LiSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Rongrong FanDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Benoit ArsenaultCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, QC, Canada.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Edward L GiovannucciDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Ju-Sheng Zheng *Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Susanna C Larsson *Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobelsväg 13, 17177, Stockholm, Sweden. susanna.larsson@ki.se.ORCID http://orcid.org/0000-0003-0118-0341
Karolinska Institutet · SECentral South University · CNHarvard University · USInstitut universitaire de cardiologie et de pneumologie de Québec · CASecond Affiliated Hospital of Zhejiang University · CNSt George's, University of London · GBUppsala University · SEWestlake University · CN

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2018-00123Hjärt-Lungfonden 20210351Vetenskapsrådet 2019-00977
6 · The paper itself

Abstract

The risk factors for nonalcoholic fatty liver disease (NAFLD) have not been clearly identified. We conducted a Mendelian randomization (MR) study to explore this. Independent genetic variants strongly associated with 5 lifestyle and 9 metabolic factors were selected as instrumental variables from corresponding genome-wide association studies (GWASs). Summary-level data for NAFLD were obtained from a GWAS meta-analysis of 8434 cases and 770,180 non-cases (discovery dataset) and another GWAS meta-analysis of 1483 cases and 17,781 non-cases (replication dataset). Univariable and multivariable MR analyses were performed. There were associations with NAFLD for lifetime smoking index (odds ratio (OR) 1.59, 95% confidence interval (CI) 1.31-1.93 per SD-increase), body mass index (BMI, OR 1.33, 95% CI 1.23-1.43 per SD-increase), waist circumference (OR 1.82; 95% CI 1.48-2.24 per SD-increase), type 2 diabetes (OR 1.21, 95% CI 1.15-1.27 per unit increase in log-transformed odds), systolic blood pressure (OR 1.17; 95% CI 1.07-1.26 per 10 mmHg increase), high-density lipoprotein cholesterol (OR 0.84, 95% CI 0.77-0.90 per SD-increase), and triglycerides (OR 1.23, 95% CI 1.15-1.33 per SD-increase). The associations for type 2 diabetes, systolic blood pressure, triglycerides, but not for high-density lipoprotein cholesterol remained strong after adjusting for genetically-predicted BMI. Genetic liability to type 2 diabetes mediated 51.4% (95% CI 13.4-89.3%) of the BMI-effects on NAFLD risk. There were suggestive inverse associations of genetically-predicted alcohol, coffee, and caffeine consumption, and vigorous physical activity with NAFLD risk. This study identified several lifestyle and metabolic factors that may be causally implicated in NAFLD.

Indexed as

Diabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseBody Mass IndexCholesterol, HDLGenome-Wide Association StudyHumansLife StyleMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsTriglyceridesCholesterol, HDLTriglyceridesLifestyleMendelian randomizationMetabolic factorNonalcoholic fatty liver disease

Identifiers

PMID35488966
PMCPMC9329390
OpenAlexW4225133335

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.