Evidence map›Paper›PMID 28702720›Full record

ArticleEuropean journal of nutrition2018

Soft drinks consumption is associated with nonalcoholic fatty liver disease independent of metabolic syndrome in Chinese population.

Ge Meng, Bo Zhang, Fei Yu, Chunlei Li, Qing Zhang, Li Liu, Hongmei Wu, Yang Xia, Xue Bao, Hongbin Shi and 17 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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

27 authors at 3 institutions in 2 countries.

Ge MengNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Bo ZhangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Fei YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Chunlei LiNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Qing ZhangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Li LiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Hongmei WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Yang XiaNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Xue BaoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Hongbin ShiHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Qian SuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Yeqing GuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Liyun FangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Huijun YangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Bin YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Shaomei SunHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Xing WangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Ming ZhouHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Qiyu JiaHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Huanli JiaoHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Bangmao WangDepartment of Gastroenterology, Tianjin Medical University General Hospital, Tianjin, China.
Qi GuoDepartment of Rehabilitation and Sports Medicine, Tianjin Medical University, Tianjin, China.
Livia A CarvalhoaDepartment of Epidemiology and Public Health, University College London, London, UK.
Zhong SunNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Kun SongHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Ming YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. yuming507@163.com.
Kaijun NiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. nkj0809@gmail.com.
Tianjin Medical University · CNTianjin Medical University General Hospital · CNUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExcessive consumption of soft drinks is associated with nonalcoholic fatty liver disease (NAFLD). However, the association between soft drinks consumption and NAFLD is unclear in non-Caucasian adults with relatively low soft drinks consumption. The aim of this study was to assess the association between soft drinks consumption and NAFLD in Chinese adults.

methodsA cross-sectional study was conducted with 26,790 adults living in Tianjin, China. NAFLD (with elevated alanine aminotransferase [ALT]) was diagnosed by the liver ultrasonography and serum ALT concentrations. Soft drinks consumption was assessed using a validated self-administered food frequency questionnaire, and it was summarized as three categories for analysis: almost never (reference), <1 cup/week, and ≥1 cups/week. Metabolic syndrome (MetS) was defined according to the criteria of the American Heart Association scientific statements of 2009. The association between soft drinks consumption and NAFLD was assessed by multiple logistic regression analysis.

resultsThe prevalence of NAFLD and NAFLD with elevated ALT was 27.1 and 6.5%, respectively. After adjustment for potential confounding variables (including MetS), the odds ratios (95% confidence intervals) for NAFLD or NAFLD with elevated ALT across soft drinks consumption were 1.00 (reference) for almost never, 1.14 (1.02-1.27) or 1.16 (0.98-1.37) for <1 cup/week, and 1.26 (1.14-1.40) or 1.32 (1.13-1.53) for ≥1 cups/week (both P for trend <0.001), respectively.

conclusionsThis is the first study to demonstrate that soft drinks consumption is associated with NAFLD independent of MetS in Chinese adults with relatively low soft drinks consumption. These results suggest that reducing soft drinks consumption might be beneficial to the prevention of NAFLD.

Indexed as

AdultAlanine TransaminaseCarbonated BeveragesChinaCohort StudiesCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeNon-alcoholic Fatty Liver DiseasePrevalenceRisk FactorsAlanine TransaminaseAlanine aminotransferaseMetabolic syndromeNonalcoholic fatty liver diseaseSoft drinks

Identifiers

PMID28702720
OpenAlexW2736239162

What OpenQuestion holds

Textmetadata
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Registered trials

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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.