Evidence map›Paper›PMID 38161971›Full record

ArticleFrontiers in endocrinology2023

Minor alleles of

Youjin Zhang, Lvlin Chen, Junchen Zhu, Hao Liu, Luying Xu, Yang Wu, Chuan He, Yongyan Song

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Review
  6. Frontiers in genetics · 2025
    Article
  7. FTO in health and disease.Frontiers in cell and developmental biology · 2024
    Review
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

8 authors.

Youjin Zhang *Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Lvlin Chen *Department of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Junchen ZhuDepartment of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Hao LiuClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Luying XuClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Yang WuClinical Medical College of Chengdu University, Chengdu, Sichuan, China.
Chuan HeDepartment of Cardiology, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Yongyan SongCentral Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Relationships of the polymorphisms in fat mass and obesity-associated gene ( Methods: One thousand three hundred and eighty-one subjects were enrolled. Metabolic-related diseases including obesity, dyslipidemia, hyperhomocysteinemia, hyperuricemia, hypertension, type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) were defined based on diagnostic criteria. Results: Patients with T2DM or dyslipidemia had a higher frequency of AA, AT or AA + AT genotypes as well as A allele of Conclusion: Minor alleles of

Indexed as

Alpha-Ketoglutarate-Dependent Dioxygenase FTOCoronary Artery DiseaseDiabetes Mellitus, Type 2DyslipidemiasAllelesChinaEast Asian PeopleHumansHyperhomocysteinemiaHypertensionHyperuricemiaObesityPolymorphism, Single NucleotideAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humandyslipidemiaFTOpolymorphismPPARDT2DM

Identifiers

PMID38161971
PMCPMC10754952

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.