Evidence map›Paper›PMID 36972006›Full record

ArticleHormones (Athens, Greece)2023

Comparison of insulin resistance-associated parameters in US adults: a cross-sectional study.

Shaoyi Yan, Di Wang, Yongping Jia

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Article in Hormones (Athens, Greece), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

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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

3 authors.

Shaoyi YanDepartment of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China. yanshaoyi163@163.com.ORCID http://orcid.org/0000-0002-4678-4192
Di WangDepartment of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.ORCID http://orcid.org/0000-0002-3015-476X
Yongping JiaDepartment of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China. sdyyjyp@126.com.ORCID http://orcid.org/0000-0001-7315-2214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride-glucose (TyG) is correlated with cardiovascular events caused by insulin resistance (IR). The aim of this study was to analyze the relationship between TyG and its related indicators and IR among US adults from 2007 to 2018 in the National Health and Nutrition Examination Survey (NHANES) database so as to identify more accurate and reliable predictors of IR.

methodsThis is a cross-sectional study including 9884 participants (2255 with IR and 7629 without IR). TyG, TyG-body mass index (TyG-BMI), TyG waist circumference (TyG-WC), and TyG waist-to-height ratio (TyG-WtHR) were measured using standard formulas.

resultsTyG, TyG-BMI, TyG-WC, and TyG-WtHR were significantly correlated with IR in the general population, with TyG-WC being the most strongly correlated, with an odds ratio of 8.00 (95% confidence interval 5.05-12.67) for the fourth quartile of TyG-WC compared with the first quartile in the adjusted model. Receiver operating characteristic (ROC) analysis of the participants showed that the maximum area under the TyG-WC curve was 0.8491, which was significantly higher than that of the other three indicators. Moreover, this trend was stable both among people of both genders and among patients with coronary heart disease (CHD), hypertension, and diabetes.

conclusionsThe present study confirms that the TyG-WC index is more successful than TyG alone in identifying IR. In addition, our findings demonstrate that TyG-WC is a simple and effective marker for screening the general US adult population and those with CHD, hypertension, and diabetes and can be effectively used in clinical practice.

Indexed as

Diabetes MellitusHypertensionInsulin ResistanceAdultBlood GlucoseCross-Sectional StudiesFemaleGlucoseHumansMaleNutrition SurveysTriglyceridesBlood GlucoseGlucoseTriglyceridesDiabetesInsulin resistanceObesityTriglyceride-glucose index

Identifiers

PMID36972006

What OpenQuestion holds

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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.