Evidence map›Paper›PMID 29626047›Full record

Observational studyBMJ open2018

Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey.

Xiao-Yu Hu, Yun Li, Long-Quan Li, Yuan Zheng, Jia-Hong Lv, Shu-Chun Huang, Weinong Zhang, Liang Liu, Ling Zhao, Zhuiguo Liu and 1 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06348628 (Motivational Interviewing for Weight Loss in the Management of Non Alcoholic Fatty Liver Disease - A Randomized Controlled Trial), which is not on this map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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.

NCT06348628 nacompletednot on this mapstarted 2022, after this paper: background citation

Motivational Interviewing for Weight Loss in the Management of Non Alcoholic Fatty Liver Disease - A Randomized Controlled Trial

TypeinterventionalSponsorMadunil Anuk NiriellaRan2022 to 2025Enrolled231ConditionsNon-Alcoholic Fatty Liver DiseaseArmsMotivational Interview, Placebo
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  15. Antidiabetic Effect of FermentedCurrent issues in molecular biology · 2023
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  19. Genetic Variations ofRisk management and healthcare policy · 2023
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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

11 authors at 2 institutions in 2 countries.

Xiao-Yu HuSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Yun LiSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Long-Quan LiSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Yuan ZhengSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Jia-Hong LvSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Shu-Chun HuangSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Weinong ZhangSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Liang LiuSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Ling ZhaoSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Zhuiguo LiuSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Xiu-Ju ZhaoSchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.
Wuhan Polytechnic University · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNon-alcoholic fatty liver disease (NAFLD) is a major public health burden in China, and its prevalence is increasing. This study aimed to determine the risk factors and biomarkers of NAFLD.

designAn observational cross-sectional primary survey.

settingCentral China.

participantsThe study included 1479 participants aged over 18 and below 80 years, not currently being treated for cancer or infectious disease or no surgery in the previous year, and no history of cancer or an infectious disease. Participants underwent clinical examination, metabolomic assay and anthropometric assessment. Univariate and logistic regression analyses were used to evaluate associations between covariates and NAFLD.

main outcome measuresRisk factors and metabolic biomarkers including sex, body mass index, hypertension, body fat ratio, blood triglycerides, blood fasting glucose, liver enzyme elevation, uric acid and oleic acid-hydroxy oleic acid (OAHOA).

resultsData from the 447 participants (mean age 44.3±11.9 years) were analysed, and the prevalence of NAFLD was 24.7%. Male sex (OR 3.484, 95% CI 2.028 to 5.988), body mass index ≥24 kg/m

conclusionsNAFLD was common among the study participants. In particular, NAFLD was correlated with uric acid. We identified OAHOA as a novel marker of NAFLD prevalence. It provides a reference on the prevention of NAFLD and related metabolic diseases with the rapid urbanisation, technological advancement and population ageing in China over the recent decades.

Indexed as

BiomarkersNon-alcoholic Fatty Liver DiseaseAdultAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesFemaleHumansHypertensionInfant, NewbornMaleMiddle AgedPrevalenceRisk FactorsBiomarkersepidemiologyhepatologypublic health

Identifiers

PMID29626047
PMCPMC5892783
OpenAlexW2795510055

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.