Evidence map›Paper›PMID 37404306›Full record

ArticleFrontiers in endocrinology2023

Association between

Ying Liu, Ping Shuai, Wanjing Chen, Yuping Liu, Dongyu Li

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Association of TyG and TyG/HDL withFrontiers in medicine · 2026
    Article
  3. Association between serum gastric biomarkers and metabolic syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Association between triglyceride-glucose index andFrontiers in endocrinology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Determining the frequency ofClinical case reports · 2024
    Article
  12. The Role ofJournal of clinical medicine · 2024
    Review
  13. Impact ofFrontiers in gastroenterology (Lausanne, Switzerland) · 2024
    Review
  14. Commentary: Association betweenFrontiers in endocrinology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ying LiuDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ping ShuaiDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wanjing ChenDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yuping LiuDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Dongyu LiDepartment of Health Management Center & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: The association between Methods: Physical examination data of 100,708 subjects were obtained from January 2014 to December 2018. MetS was defined based on five criteria including: International Diabetes Federation (IDF), The Third Report of the National Cholesterol Education Program Expert Panel, Adult Treatment Panel III (ATP III), Joint Statement of International Multi-Societies (JIS), Chinese Diabetes Society (CDS), and the Guidelines for the Prevention and Treatment of Type 2 Diabetes in China (2017 edition)(CDS DM). Multivariate logistic regression analysis was performed to elucidate the association between Results: The prevalence of MetS defined assessed using IDF, ATP III, JIS, CDS and CDS DM criteria was 15.8%, 19.9%, 23.7%, 8.7% and 15.4%, respectively. In males, the prevalence of MetS assessed using the five criteria in Conclusions:

Indexed as

Diabetes Mellitus, Type 2Helicobacter InfectionsHelicobacter pyloriMetabolic SyndromeAdenosine TriphosphateAdultFemaleHumansMaleAdenosine TriphosphateHelicobacter pylorihyperglycemiahypertensionmetabolic syndromeobesity

Identifiers

PMID37404306
PMCPMC10316390

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.