Evidence mapPaperPMID 35888595Full record

ArticleMedicina (Kaunas, Lithuania)2022

TyG Index Performs Better Than HOMA-IR in Chinese Type 2 Diabetes Mellitus with a BMI < 35 kg/m2: A Hyperglycemic Clamp Validated Study

Ping Luo, Yaoquan Cao, Pengzhou Li, Weizheng Li, Zhi Song, Zhibing Fu, Hui Zhou, Xianhao Yi, Liyong Zhu, Shaihong Zhu

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 4 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

54 citing papers in PubMed, 4 syntheses or guidelines 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

10 authors.

Ping LuoDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.ORCID 0000-0003-4728-2415
Yaoquan CaoDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Pengzhou LiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Weizheng LiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Zhi SongDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Zhibing FuDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Hui ZhouDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Xianhao YiDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Liyong ZhuDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.ORCID 0000-0002-4666-8458
Shaihong ZhuDepartment of General Surgery, Third Xiangya Hospital, Central South University, Changsha 410013, China.ORCID 0000-0001-6209-3132

Funding

Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University YX202102
6 · The paper itself

Abstract

Background and objectives: Chinese type 2 diabetes mellitus (T2DM) patients are characterized by a low body mass index (BMI), and significant insulin resistance (IR). The triglyceride glucose (TyG) index has not been studied as a means of assessing IR in Chinese T2DM patients with a BMI < 35 kg/m2. Materials and Methods: An open-label cross-sectional study recruited 102 Chinese T2DM patients with a BMI < 35 kg/m2. The hyper-insulinemic euglycemic clamp, homeostatic model assessment of IR (HOMA-IR), and TyG index were used to determine the level of IR. Based on Pearson’s correlations, glucose disposal rate (GDR), TyG index, and HOMA-IR were analyzed. HOMA-IR and TyG index for IR were evaluated using multiple linear regression and multivariate logistic regression analyses. On the basis of the receiver operating characteristic (ROC) curve, the sensitivity, specificity, and optimal cut-off value of HOMA-IR and the TyG index were determined. Results: The mean values of GDR, HOMA-IR, and TyG index were 4.25 ± 1.81, 8.05 ± 7.98, and 8.12 ± 0.86 mg/kg/min, respectively. Pearson’s correlation coefficient was −0.418 between GDR and TyG index and −0.324 between GDR and HOMA-IR. ROC curve analysis showed that, among both sexes, the TyG index was a better discriminator of IR than HOMA-IR. The area under the ROC curve (AUC) of the TyG index (0.785, 0.691−0.879) was higher than that of HOMA-IR (0.73, 0.588−0.873) in all genders. The optimal cut-off values of the TyG index and HOMA-IR were 7.99 and 3.39, respectively. Conclusions: The TyG index showed more effectiveness in identifying IR in Chinese T2DM patients with a BMI < 35 kg/m2 compared to HOMA-IR.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceBiomarkersBlood GlucoseBody Mass IndexChinaCross-Sectional StudiesFemaleGlucoseHumansMaleTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesHOMA-IRhyper-insulinemic euglycemic clampinsulin resistanceTyG indextype 2 diabetes mellitus

Identifiers

PMID35888595
PMCPMC9325243

What Socratic 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 Socratic graph.