Evidence map›Paper›PMID 40421241›Full record

ArticleFrontiers in endocrinology2025

Insulin resistance assessed by estimated glucose disposal rate and the risk of abdominal aortic calcification: findings from a nationwide cohort study.

Bo Zhao, Zongliang Yu, Fengyan Tang, Zhenqin Feng, Junfeng Wang, Zhaoxiang Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Bo Zhao *Department of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Zongliang Yu *Department of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Fengyan Tang *Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Zhenqin FengDepartment of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Junfeng WangDepartment of Cardiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Zhaoxiang WangDepartment of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The estimated glucose disposal rate (eGDR) serves as a straightforward and noninvasive indicator of insulin resistance (IR). This study aims to explore the association between eGDR and the risk of abdominal aortic calcification (AAC). Methods: We utilized data from adult participants (≥40 years old, n=3006) from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) database. AAC was measured by dual-energy X-ray absorptiometry and quantified using the Kauppila score. Severe AAC (SAAC) was defined as an AAC score > 6. Logistic regression, restricted cubic spline (RCS), and subgroup analysis were used to analyze the relationship between eGDR and SAAC risk. Results: In fully adjusted models, eGDR was found to be negatively associated with SAAC (OR=0.86, 95%CI:0.79-0.94, Conclusions: The degree of IR assessed by eGDR is associated with SAAC risk. The eGDR shows promise as an epidemiological tool for evaluating the influence of IR on AAC.

Indexed as

Aorta, AbdominalBlood GlucoseInsulin ResistanceVascular CalcificationAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsBlood GlucoseABDOMINAL AORTIC CALCIFICATIONcross-sectional studyestimated glucose disposal rateinsulin resistanceNHANES

Identifiers

PMID40421241
PMCPMC12104058

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.