Evidence map›Paper›PMID 32848374›Full record

ArticleClinical interventions in aging2020

Zhan Gu, Yan Bi, Fan Yuan, Ruirui Wang, Dong Li, Jianying Wang, Xiaojuan Hu, Guang He, Lei Zhang, Bao-Cheng Liu

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Sarcopenia and MASLD: novel insights and the future.Nature reviews. Endocrinology · 2026
    Review
  3. Review
  4. Review
  5. Genetic Risk of MASLD in Mongolians: Role ofCurrent issues in molecular biology · 2025
    Article
  6. [Metabolic-associated fatty liver disease (MAFLD): a multisystemic disease beyond the liver].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Comprehensive mutations analyses ofFrontiers in nutrition · 2022
    Article
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

10 authors at 2 institutions in 1 country.

Zhan Gu *Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Yan Bi *Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China.
Fan Yuan *Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China.
Ruirui WangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Dong LiZhangjiang Community Health Service Center of Pudong New District, Shanghai, People's Republic of China.
Jianying WangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Xiaojuan HuShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Guang HeBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China.
Lei ZhangShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Bao-Cheng LiuShanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People's Republic of China.
Shanghai University of Traditional Chinese Medicine · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs fat and obesity play a vital role in the pathophysiology of metabolic dysfunction-associated fatty liver disease (MAFLD), this study aims to investigate the association between the fat mass and obesity-associated gene (

methodsSix SNPs (rs6499640, rs1421085, rs8050136, rs3751812, rs9939609 and rs9930506) within

resultsBMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, triglyceride, alanine transaminase, glutamyl transpeptidase and the prevalence of diabetes were found to be higher in the MAFLD individuals comparing to the control ones (

conclusionThe case-control study indicated that C variant of rs1421085, A variant of rs8050136, T variant of rs3751812 and A variant of rs9939609 are associated with elevated MAFLD risk in the older Chinese Han population.

Indexed as

AgedAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOAsian PeopleBody Mass IndexCase-Control StudiesFemaleGene FrequencyHaplotypesHumansMaleMetabolic SyndromeMiddle AgedNon-alcoholic Fatty Liver DiseaseObesityWaist CircumferenceAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanFTOgenetic associationMAFLDpolymorphismsusceptibility

Identifiers

PMID32848374
PMCPMC7429205
OpenAlexW3047737482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.