Evidence mapPaperPMID 35987992Full record

ArticleBMC cardiovascular disorders2022

Impact of estimated glucose disposal rate for identifying prevalent ischemic heart disease: findings from a cross-sectional study.

Jin Xuan, Du Juan, Niu Yuyu, Ji Anjing

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Jin XuanDepartment of Cardiology, The Second Affiliated Hospital of Shandong, University of Traditional Chinese Medicine, Jinan, Shandong, China.
Du JuanDepartment of Cardiology, Rizhao Hospital of Traditional Chinese Medicine, Rizhao, Shandong, China.
Niu YuyuDepartment of Cardiology, Xinxiang First People's Hospital, Xinxiang, Henan, China.
Ji AnjingDepartment of Cardiology, Yuhuan Second People's Hospital, Huanbaozhong Road, Yuhuan, Zhejiang, China. jaj278288743@outlook.com.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine · CNPeople’s Hospital of Rizhao · CNYuxian People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance is one of the major mechanisms for cardiovascular events. Estimated glucose disposal rate(eGDR) has been demonstrated as a simple, accurate, and cost-effective estimator of insulin resistance. Our study aims to evaluate the correlation between eGDR and the prevalent IHD and assess the incremental value of eGDR for identifying prevalent IHD in the rural general population.

methodsOur study enrolled 10,895 participants from a cross-sectional survey of a metabolic management program. The survey was conducted in the rural areas of southeastern China between October 2019 and April 2020. eGDR = 21.158 - (0.09 * waist circumference) - (3.407 * hypertension) - (0.551 * HbA1c).

resultsThe prevalence of IHD was 4.20%. After adjusting for demographic, anthropometric, laboratory, and medical history covariates, each SD increase of eGDR brought a 25.9% risk reduction for prevalent IHD. After dividing eGDR into groups, the top group had a 58.9% risk reduction than the bottom group. Furthermore, smooth curve fitting demonstrated that the correlation between eGDR and prevalent IHD was linear in the whole range of eGDR. Additionally, AUC suggested that eGDR could significantly improve the identification of prevalent IHD by adding it to cardiovascular risk factors (0.703 vs. 0.711, P for comparison = 0.041). Finally, the category-free net reclassification index and integrated discrimination index also implicated the improvement from eGDR to identify prevalent IHD.

conclusionOur data demonstrated a significant, negative, and linear correlation between eGDR and prevalent IHD. Our findings could suggest the potential usefulness of eGDR to improve the identification of prevalent IHD in the rural general population.

Indexed as

Diabetes Mellitus, Type 1Insulin ResistanceMyocardial IschemiaBlood GlucoseCross-Sectional StudiesHumansRisk FactorsBlood GlucoseEpidemiologyEstimated glucose disposal rateInsulin resistanceIschemic heart disease

Identifiers

PMID35987992
PMCPMC9392437
OpenAlexW4292430105

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.