Evidence map›Paper›PMID 39735705›Full record

ArticleFrontiers in medicine2024

Relationship between triglyceride glucose-body mass index and coronary artery calcium score in maintenance hemodialysis patients.

Zexi Jiang, Jinhua Zhu, Hong Ding, Lihong Yan, Ruoxin Chen, Bin Wang, ZuoLin Li, Hong Liu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zexi Jiang *Institute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Jinhua Zhu *Institute of Nephrology, People's Hospital of Yangzhong City, Zhenjiang, Jiangsu, China.
Hong DingInstitute of Nephrology, People's Hospital of Yangzhong City, Zhenjiang, Jiangsu, China.
Lihong YanInstitute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Ruoxin ChenInstitute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Bin WangInstitute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
ZuoLin LiInstitute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Hong LiuInstitute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the association between coronary artery calcification (CAC) and triglyceride glucose-body mass index (TyG-BMI) in patients receiving maintenance hemodialysis (MHD). Methods: We used computed tomography (CT) to assess coronary artery calcification score (CACS) using the Agatston method. The TyG index was multiplied by BMI to derive the TyG-BMI index. Ordinal logistic regression models were used to analyze the relationship between TyG-BMI and CAC. The dose-response relationship was evaluated using restricted cubic spline regression. Weighted Quantile Sum regression was used to explore the weight of the TyG-BMI index components. Results: Based on the TyG-BMI, 219 patients with MHD were stratified into three groups. The TyG-BMI index was shown to be an independent risk factor for CACS by multivariate ordinal logistic regression analysis (odds ratio, 1.011; [95% confidence interval, 1.002-1.021]; Conclusion: TyG-BMI and CAC were independently positively correlated in patients undergoing MHD. These findings suggest that assessing TyG-BMI as a valuable tool for identifying the risk of CAC in patients with MHD.

Indexed as

cardiovascular diseasecoronary artery calcificationinsulin resistancemaintenance hemodialysistriglyceride glucose-body mass index

Identifiers

PMID39735705
PMCPMC11671265

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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.