Evidence map›Paper›PMID 39730877›Full record

ArticleScientific reports2024

Association between the triglyceride to high-density lipoprotein cholesterol ratio and type 2 diabetes mellitus in non-alcoholic fatty liver disease.

Liya Bian, Ting Tang, Qingwen Yu, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Hu Wang, Xinyan Fu, Juan Chen and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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. Review
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

13 authors.

Liya Bian *Department of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Ting Tang *Department of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Qingwen Yu *Department of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Xuhan TongDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Siqi HuDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Yao YouDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Shenghui ZhangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Hu WangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Xinyan FuDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Juan ChenDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Xingwei ZhangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Mingwei WangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory of Medical Epigenetics, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China. wmw990556@hznu.edu.cn.
Pengwei ZhangCenter for Pre-Disease Treatment and Health Management, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, 310015, China. tcmzhangpengwei@126.com.

Funding

Interdisciplinary Research Project of Hangzhou Normal University No. 2024JCXK05Medical Science and Technology Project of Zhejiang Province No. 2021KY890Zhejiang Traditional Chinese Medicine Scientific Research Fund Project No. 2022ZB280
6 · The paper itself

Abstract

This study evaluated the ability of the triglyceride (TG) to high-density lipoprotein cholesterol (TG/HDL-C) ratio to identify individuals at risk of type 2 diabetes mellitus (T2DM) in the non-alcoholic fatty liver disease (NAFLD) population. We retrospectively studied 4,769 patients with NAFLD from the Affiliated Hospital of Hangzhou Normal University (2020-2023). Binary logistic regression models were used to evaluate the association between the TG/HDL-C ratio and lipid parameters with T2DM. TG/HDL-C ratio was positively associated with T2DM in patients with NAFLD, with an odds ratio (OR) of 2.72 (95% confidence interval, 2.23-3.31, p < 0.001) for T2DM in the highest TG/HDL-C ratio quartile compared with the lowest one after adjusting for known confounders. The OR for the TG/HDL-C ratio had a stronger predictive value than those of TG, total cholesterol, HDL-C, and low-density lipoprotein cholesterol, indicating that the TG/HDL-C ratio could be a better discriminator of T2DM. The TG/HDL-C ratio better identifies potential risks of T2DM in individuals with NAFLD than individual lipid parameters. Therefore, clinicians should pay attention to individuals with high TG and low HDL-C levels during T2DM risk assessment in NAFLD cohorts.

Indexed as

Cholesterol, HDLDiabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseTriglyceridesAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsCholesterol, HDLTriglyceridesInsulin resistanceLipid parameterNon-alcoholic fatty liver diseaseTG/HDL-CType 2 diabetes mellitus

Identifiers

PMID39730877
PMCPMC11680680

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.