Evidence map›Paper›PMID 33232281›Full record

ArticleAging2020

Association and functional study between

Qiao Wang, Decheng Ren, Yan Bi, Ruixue Yuan, Dong Li, Jianying Wang, Ruirui Wang, Lei Zhang, Guang He, Baocheng Liu

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. The Association Between Adiponectin Gene Polymorphism (rs1501299) and Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Association ofDiabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  7. 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.

Qiao WangShanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Decheng RenBio-X Institutes of Shanghai Jiao Tong University, Shanghai, China.
Yan BiBio-X Institutes of Shanghai Jiao Tong University, Shanghai, China.
Ruixue YuanBio-X Institutes of Shanghai Jiao Tong University, Shanghai, China.
Dong LiZhangjiang Community Health Service Center of Pudong New, Shanghai, China.
Jianying WangShanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ruirui WangShanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei ZhangShanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Guang HeBio-X Institutes of Shanghai Jiao Tong University, Shanghai, China.
Baocheng LiuShanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetabolic syndrome (MetS) is a cluster of health problems that places individuals at higher risk of developing cardiovascular disease, diabetes and stroke. The prevalence of MetS is increasing worldwide. It is also well accepted that genetic and environmental factors play significant roles in the occurrence/development of MetS, but studies exploring genetic factors are still lacking. Here, we aimed to investigate the association of

resultsWe found that the allelic frequencies of rs6773957 and rs3774261 were significantly different between MetS and the control (

conclusionOur results suggest that rs6773957 and rs3774261 of

methodsFour single nucleotide polymorphisms (SNPs) were selected and genotyped (rs6773957, rs182052, rs3774261 and rs17366568) in 1337 subjects, including 569 healthy controls and 768 MetS cases. The clinical characteristics of all the subjects were obtained and analyzed. Additionally, a functional study of rs6773957 in regulating the expression of

Indexed as

AdiponectinAgedAsian PeopleFemaleGenetic Predisposition to DiseaseHumansMaleMetabolic SyndromeMiddle AgedPolymorphism, Single NucleotideAdiponectinADIPOQ protein, human3' UTRADIPOQassociationmetabolic syndrome

Identifiers

PMID33232281
PMCPMC7803488

What Socratic 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 Socratic graph.