Evidence map›Paper›PMID 27616599›Full record

ArticleScientific reports2016

Relationship between grip strength and newly diagnosed nonalcoholic fatty liver disease in a large-scale adult population.

Ge Meng, Hongmei Wu, Liyun Fang, Chunlei Li, Fei Yu, Qing Zhang, Li Liu, Huanmin Du, Hongbin Shi, Yang Xia and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 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

20 authors at 2 institutions in 1 country.

Ge MengNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Hongmei WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Liyun FangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Chunlei LiNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Fei YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Qing ZhangHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Li LiuHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Huanmin DuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Hongbin ShiHealth Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
Yang XiaNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Xiaoyan GuoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Xing LiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Xue BaoNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Qian SuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Yeqing GuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Huijun YangNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Bin YuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Yuntang WuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Zhong SunNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Kaijun NiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhanced muscle strength is often related to improved insulin sensitivity and secretion, control of lipid metabolism, and increased secretion of myokines. These factors have emerged as important mechanisms involved in the development and progression of nonalcoholic fatty liver disease (NAFLD), implying that muscle strength may be a useful predictor for NAFLD. We aimed to assess the relationship between grip strength (GS) and NAFLD in a large-scale adult population. GS was assessed using an electronic hand-grip dynamometer, and NAFLD was diagnosed by the liver ultrasonography. Multiple logistic regression analysis was used to assess the relationship between the quartiles of GS per body weight and the prevalence of NAFLD. After adjusting for potentially confounding factors, the odds ratios (95% confidence interval) for overall NAFLD, NAFLD with normal alanine aminotransferase levels, and NAFLD with elevated alanine aminotransferase levels across the quartiles of GS were 1.00 (reference), 0.89 (0.78, 1.01), 0.77 (0.67, 0.89), and 0.67 (0.57, 0.79); 1.00 (reference), 0.91 (0.80, 1.04), 0.79 (0.68, 0.92), and 0.72 (0.61, 0.85); 1.00 (reference), 0.77 (0.61, 0.98), 0.67 (0.51, 0.86), and 0.53 (0.40, 0.71) (all P for trend < 0.01), respectively. This is the first study shows that increased GS is independently associated with lower prevalence of NAFLD.

Indexed as

Hand StrengthAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProspective Studies

Identifiers

PMID27616599
PMCPMC5018968
OpenAlexW2520641425

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.