Evidence map›Paper›PMID 33801028›Full record

SynthesisInternational journal of environmental research and public health2021

Effect of Different Exercise Methods on Non-Alcoholic Fatty Liver Disease: A Meta-Analysis and Meta-Regression.

Yingzhe Xiong, Qingwen Peng, Chunmei Cao, Zujie Xu, Bing Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 pooled it
5.1field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it, 49 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

5 authors at 2 institutions in 1 country.

Yingzhe XiongDivision of Sports Science and Physical Education, Tsinghua University, Beijing 100081, China.
Qingwen PengSchool of Kinesiology and Health, Huaihua University, Huaihua 418000, China.
Chunmei CaoDivision of Sports Science and Physical Education, Tsinghua University, Beijing 100081, China.ORCID 0000-0003-3762-7651
Zujie XuDivision of Sports Science and Physical Education, Tsinghua University, Beijing 100081, China.
Bing ZhangDivision of Sports Science and Physical Education, Tsinghua University, Beijing 100081, China.
Tsinghua University · CNHuaihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise could alleviate non-alcoholic fatty liver disease (NAFLD), but it was not clear which exercise methods could effectively treat NAFLD. The purpose of this systematic review and meta-analysis was to evaluate the effects of different exercise patterns on eight indicators in patients with NAFLD. We searched PubMed, Scopus, Web of Science, China National Knowledge Infrastructure, and the Wanfang Data from its inception to 30 June 2020. This review includes all randomized controlled trials (RCT) that assessed and compared the effects of different exercise on eight indicator parameters in patients with NAFLD. The results indicate that aerobic exercises could significantly improve the eight indicators in patients with NAFLD including triglycerides (TG, weighted mean difference (WMD) = -0.53, 95%CI: -0.68~-0.39, Z = 7.37,

Indexed as

Non-alcoholic Fatty Liver DiseaseAlanine TransaminaseAspartate AminotransferasesChinaExerciseHumansAlanine TransaminaseAspartate Aminotransferasesexercisesmeta-analysisnon-alcoholic fatty liver diseaserandomized clinical trials

Identifiers

PMID33801028
PMCPMC8004001
OpenAlexW3136096993

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.