Evidence map›Paper›PMID 38539102›Full record

ArticleBMC cardiovascular disorders2024

Correlation between the cardiometabolic index and arteriosclerosis in patients with type 2 diabetes mellitus.

Chaoyan Tang, Tianjiao Pang, Chaozhi Dang, Hui Liang, Junfeng Wu, Xiaofang Shen, Lielin Wang, Ruiqiong Luo, Haiyun Lan, Ping Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.9field-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.

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

19 citing papers in PubMed, 25 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

10 authors at 1 institution in 1 country.

Chaoyan Tang *Department of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Tianjiao Pang *Department of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Chaozhi DangDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Hui LiangDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Junfeng WuDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Xiaofang ShenDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Lielin WangDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Ruiqiong LuoDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China.
Haiyun LanDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China. doctorlhy@126.com.
Ping ZhangDepartment of Endocrinology, Yulin First People's Hospital, Sixth Affiliated Hospital of Guangxi Medical University, No.495, Education Middle Road, Yulin, 537000, Guangxi Zhuang Autonomous Region, China. ylzhangping@163.com.
Guangxi Medical University · CN

Funding

Scientific Research and Technology Development Program of Yulin City 202324107
6 · The paper itself

Abstract

backgroundThe cardiometabolic index (CMI) is a new metric derived from the triglyceride-glucose index and body mass index and is considered a potential marker for cardiovascular risk assessment. This study aimed to examine the correlation between the CMI and the presence and severity of arteriosclerosis in patients with type 2 diabetes mellitus (T2DM).

methodsThis study involved 2243 patients with T2DM. The CMI was derived by dividing the triglyceride level (mmol/L) by the high-density lipoprotein level (mmol/L) and then multiplying the quotient by the waist-to-height ratio. Multivariate logistic regression was used to analyze the correlations between the CMI and BMI blood biomarkers, blood pressure, and brachial-ankle pulse wave velocity (baPWV).

resultsPatients were categorized into three groups based on their CMI: Group C1 (CMI < 0.775; n = 750), Group C2 (CMI: 0.775-1.355; n = 743), and Group C3 (CMI > 1.355; n = 750). Increased BMI, fasting glucose, insulin (at 120 min), total cholesterol (TC), and baPWV values were observed in Groups C2 and C3, with statistically significant trends (all trends P < 0.05). The CMI was positively correlated with systolic blood pressure (r = 0.74, P < 0.001). Multivariate analysis revealed that an increased CMI contributed to a greater risk for arteriosclerosis (OR = 1.87, 95%CI: 1.66-2.10, P < 0.001). Compared to the C1 group, the C2 group and C3 group had a greater risk of developing arteriosclerosis, with ORs of 4.55 (95%CI: 3.57-5.81, P<0.001) and 5.56 (95%CI: 4.32-7.17, P<0.001), respectively. The association was notably stronger in patients with a BMI below 21.62 kg/m² than in those with a BMI of 21.62 kg/m² or higher (OR = 4.53 vs. OR = 1.59).

conclusionsThese findings suggest that the CMI is a relevant and independent marker of arteriosclerosis in patients with T2DM and may be useful in the risk stratification and management of these patients.

Indexed as

ArteriosclerosisDiabetes Mellitus, Type 2Ankle Brachial IndexBody Mass IndexGlucoseHumansPulse Wave AnalysisRisk FactorsTriglyceridesGlucoseTriglyceridesArteriosclerosisCardiometabolic IndexCardiovascular RiskType 2 Diabetes Mellitus

Identifiers

PMID38539102
PMCPMC10976822
OpenAlexW4393233681

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.