Evidence map›Paper›PMID 39376492›Full record

ArticleInternational journal of endocrinology2024

Sex Differences in the Associations among Insulin Resistance Indexes with Metabolic Syndrome: A Large Cross-Sectional Study.

Wenkang Zhang, Chen Chen, Mingkang Li, Gaoliang Yan, Chengchun Tang

Abstract read
In one paragraph

Article in International journal of endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Metabolic Syndrome and Insulin Resistance in Romania.International journal of molecular sciences · 2025
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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

5 authors.

Wenkang ZhangSchool of Medicine Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0001-8456-023X
Chen ChenSchool of Cyber Science and Engineering Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0009-0005-0350-572X
Mingkang LiSchool of Medicine Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-1329-0230
Gaoliang YanDepartment of Cardiology Zhongda Hospital Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-2563-167X
Chengchun TangSchool of Medicine Southeast University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-3767-3551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metabolic syndrome (MetS) is closely related to insulin resistance (IR), and the sex differences have not been fully explored. This study was aimed to investigate the sex differences in the associations among IR indexes with MetS in a large population. Methods: A total of 60,799 participants were enrolled in the current study. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III criteria. The following IR indexes were evaluated: triglyceride-glucose (TyG) index, TyG-waist circumference (TyG-WC), TyG-waist to height ratio (TyG-WHtR), TyG-body mass index (TyG-BMI), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C), and metabolic score for IR (MetS-IR). Factors associated with MetS were examined using logistic regressions. The receiver operating characteristic curves were used to evaluate the predictive value of the IR indexes for MetS. Results: The prevalence of MetS was 11.8% ( Conclusions: The IR index levels are higher in male than female patients. In IR indexes, TyG has the highest AUC in male patients and TyG-WHtR in female patients. The combination of IR indexes improved diagnostic efficiency compared with a single parameter. Moreover, the IR indexes are independently associated with MetS except for TyG-WHtR and TG/HDL-C in female patients. Our findings indicate that the multi-index association of IR indexes may play a potential role in MetS diagnosis, and understanding the sex differences in risk factors for MetS may help doctors properly implement more individualized prevention strategies.

Identifiers

PMID39376492
PMCPMC11458281

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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.