Evidence map›Paper›PMID 35428219›Full record

ArticleBMC endocrine disorders2022

Value of the triglyceride glucose index combined with body mass index in identifying non-alcoholic fatty liver disease in patients with type 2 diabetes.

Nong Li, Huiwen Tan, Aixia Xie, Cheng Li, Xuan Fu, Weiting Xang, Amina Kirim, Xuefang Huang

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 3% 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

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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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 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

8 authors at 2 institutions in 1 country.

Nong Li *Department of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China. linongklmy@yeah.net.
Huiwen Tan *Department of Endocrinology Metabolism, West China Hospital of Sichuan University, Chengdu, China.
Aixia XieDepartment of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China.
Cheng LiFirst Affiliated Hospital of Xinjiang Medical University, Ürümqi, China.
Xuan FuDepartment of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China.
Weiting XangDepartment of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China.
Amina KirimDepartment of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China.
Xuefang HuangDepartment of Endocrinology and Metabolism, People's Hospital of Karamay, Xinjiang, China. huangxuefang2323@163.com.
First Affiliated Hospital of Xinjiang Medical University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride glucose index combined with body mass index is a new index that reflects the degree of insulin resistance. In this cross-sectional study, we aimed to explore the predictive value of the triglyceride glucose-body mass index (TyG-BMI) in relation to the occurrence of non-alcoholic fatty liver disease (NAFLD) in the Chinese population with type 2 diabetes (T2D).

methodsWe selected 826 patients with T2D who were hospitalized at the Department of Endocrinology and Metabolism of Karamay People's Hospital from September 2016 to October 2018 for this research. The height, weight, fasting blood glucose, serum insulin, and lipid profiles of the subjects were collected. The liver ultrasound showed any degree of echogenic enhancement of liver tissue and the liver appeared brighter than the renal cortex on ultrasound were considered to be NAFLD. The logistic regression analysis was performed to estimate associations between the triglyceride glucose index (TyG), TyG-BMI index, insulin resistance index (HOMA-IR) and the ratio of the triglycerides to high-density lipoprotein-cholesterol with a diagnosis of NAFLD. The receiver operating characteristic curve method was used to analyze its predictive value for NAFLD.

resultsResults of the logistic regression analysis showed that the odds ratios of NAFLD were 6.535 (3.70-11.53) and 4.868 (2.576-9.200) for the TyG-BMI before and after correction,respectively(P < 0.001). The area under the curve (AUC) for TyG-BMI was 0.727 (0.691-0.764), which was the highest among all the other parameters studied.

conclusionCompared with the TyG index, the TG/HDL-C and HOMA-IR, the TyG-BMI was a more effective predictor of NAFLD in T2D.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceNon-alcoholic Fatty Liver DiseaseBiomarkersBlood GlucoseBody Mass IndexCross-Sectional StudiesGlucoseHumansTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesNon-alcoholic fatty liver diseaseTriglyceride glucose-body mass indexType 2 diabetes

Identifiers

PMID35428219
PMCPMC9011983
OpenAlexW4224074268

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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 OpenQuestion graph.