Evidence map›Paper›PMID 27115999›Full record

ArticlePloS one2016

Association between Triglyceride to HDL-C Ratio (TG/HDL-C) and Insulin Resistance in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus.

Xingxing Ren, Zeng Ai Chen, Shuang Zheng, Tingting Han, Yangxue Li, Wei Liu, Yaomin Hu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07130188 (The Significance of Triglyceride Index and TG/HDL-C Ratios as Predictors of Acute Coronary Syndromes in Young Population and the Complexity of Coronary Artery Disease), which is not on this map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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.

NCT07130188 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Significance of Triglyceride Index and TG/HDL-C Ratios as Predictors of Acute Coronary Syndromes in Young Population and the Complexity of Coronary Artery Disease

TypeobservationalSponsorAssiut UniversityRan2025 to 2026Enrolled130ConditionsTG Index, TG/HDL-C Ratio, Young PopulationArmsPCI
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

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  9. The Predictive Value of Insulin Resistance Surrogates for Diabetic Kidney Disease in Type 2 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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17 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Xingxing RenDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Zeng Ai ChenDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Shuang ZhengDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Tingting HanDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yangxue LiDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Wei LiuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Yaomin HuDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association between the triglyceride to HDL-C ratio (TG/HDL-C) and insulin resistance in Chinese patients with newly diagnosed type 2 diabetes mellitus.

methodsPatients with newly diagnosed type 2 diabetes mellitus (272 men and 288 women) were enrolled and divided into three groups according to TG/HDL-C tertiles. Insulin resistance was defined by homeostatic model assessment of insulin resistance (HOMA-IR). Demographic information and clinical characteristics were obtained. Spearman's correlation was used to estimate the association between TG/HDL-C and other variables. Multiple logistic regression analyses were adopted to obtain probabilities of insulin resistance. A receiver operating characteristic analysis was conducted to evaluate the ability of TG/HDL-C to discriminate insulin resistance.

resultsTG/HDL-C was associated with insulin resistance in Chinese patients with newly diagnosed T2DM (Spearman's correlation coefficient = 0.21, P < 0.01). Patients in the higher tertiles of TG/HDL-C had significantly higher HOMA-IR values than patients in the lower tertiles [T1: 2.68(1.74-3.70); T2: 2.96(2.29-4.56); T3: 3.09(2.30-4.99)]. Multiple logistic regression analysis showed that TG/HDL-C was significantly associated with HOMA-IR, and patients in the higher TG/HDL-C tertile had a higher OR than those in the lower TG/HDL-C tertile, after adjusting for multiple covariates including indices for central obesity [T1: 1; T2: 4.02(1.86-8.71); T3: 4.30(1.99-9.29)]. Following stratification of waist circumference into quartiles, the effect of TG/HDL-C on insulin resistance remained significant irrespective of waist circumference.

conclusionsTG/HDL-C was associated with insulin resistance independent of waist circumference. Whether it could be a surrogate marker for insulin resistance in Chinese patients with newly diagnosed type 2 diabetes mellitus still needs to be confirmed by more researches.

Indexed as

Insulin ResistanceAnthropometryBiomarkersChinaCholesterol, HDLDiabetes Mellitus, Type 2FemaleHomeostasisHumansMaleMiddle AgedProbabilityRegression AnalysisROC CurveTriglyceridesWaist CircumferenceBiomarkersCholesterol, HDLTriglycerides

Identifiers

PMID27115999
PMCPMC4846162
OpenAlexW2344460592

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.