Evidence map›Paper›PMID 34093434›Full record

ArticleFrontiers in endocrinology2021

Association of Genetic Variants in

Weiwei Gui, Julong Liang, Xihua Lin, Nanjing Shi, Yiyi Zhu, Bowen Tan, Hong Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Weiwei GuiDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Julong LiangDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xihua LinDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Nanjing ShiDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yiyi ZhuDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Bowen TanDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hong LiDepartment of Endocrinology, The Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To explore associations between polymorphisms of Methods: 66 subjects with MetS and 257 control subjects were collected for inclusion in a case-control study. PCR-RFLP was used to investigate polymorphisms in the Results: Females carrying the GG and AG genotypes of rs680 ( Conclusions: Our study suggests that

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAgedBiomarkersCase-Control StudiesChinaFemaleFollow-Up StudiesGenotypeHumansInsulin-Like Growth Factor IIMaleMetabolic SyndromeMiddle AgedPrognosisReceptor, IGF Type 2BiomarkersH19 long non-coding RNAIGF2BP2 protein, humanIGF2 protein, humanIGF2R protein, humanInsulin-Like Growth Factor IIReceptor, IGF Type 2RNA-Binding ProteinsRNA, Long NoncodingH19IGF2IGF2BP2metabolic syndromesingle nucleotide polymorphisms

Identifiers

PMID34093434
PMCPMC8173176
OpenAlexW3160098679

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.