Evidence map›Paper›PMID 39244537›Full record

ArticleLipids in health and disease2024

Associations between different insulin resistance indices and the risk of all-cause mortality in peritoneal dialysis patients.

Guowen Zhao, Sijia Shang, Na Tian, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang, Yueqiang Wen, Qingdong Xu, Xiaoran Feng, Xingming Tang and 5 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

15 authors.

Guowen Zhao *Department of Haematology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Sijia Shang *Department of Haematology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Na TianDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, No. 1, Jianshe East Road, Zhengzhou, China.
Yueqiang WenDepartment of Nephrology, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Xiaoran FengDepartment of Nephrology, Jiujiang NO.1 People's Hospital, Jiujiang, Jiangxi, China.
Xingming TangDepartment of Nephrology, Dongguan Songshan Lake Tungwah Hospital, No.7, Kefa Road, Dongguan, 523000, China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Yuanyuan YangDepartment of Haematology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Xing ZhangDepartment of Haematology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. Zhangx325@mail.sysu.edu.cn.
Ning SuDepartment of Haematology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. Suning5@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is prevalent in individuals undergoing peritoneal dialysis (PD) and is related to increased susceptibility to coronary artery disease and initial peritonitis. In recent investigations, correlations have been found between indices of IR and the incidence of all-cause mortality in various populations. However, such correlations have not been detected among individuals undergoing PD. Hence, the present study's aim was to explore the connections between IR indices and the incidence of all-cause mortality in PD patients.

methodsPeritoneal dialysis patients (n = 1736) were recruited from multiple PD centres between January 2010 and December 2021. Cox proportional hazards and restricted cubic spline regression models were used to evaluate the connections between the triglyceride-glucose (TyG) index, triglyceride-glucose/body mass index (TyG-BMI), and triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and the occurrence of all-cause mortality. All three IR indices were integrated into the same model to assess the predictive stability. Furthermore, a forest plot was employed to display the findings of the subgroup analysis of PD patients.

resultsOverall, 378 mortality events were recorded during a median follow-up time of 2098 days. Among PD patients, a higher TyG index, TyG-BMI, and TG/HDL-C ratio were identified as independent risk factors for all-cause mortality according to Cox proportional hazards analyses (hazard ratio (HR) 1.588, 95% confidence interval (CI) 1.261-2.000; HR 1.428, 95% CI 1.067-1.910; HR 1.431, 95% CI 1.105-1.853, respectively). In a model integrating the three IR indices, the TyG index showed the highest predictive stability. According to the forest plot for the TyG index, no significant interactions were observed among the subgroups.

conclusionSignificant associations were found between the TyG index, TyG-BMI, and TG/HDL-C ratio and the incidence of all-cause mortality among PD patients. The TyG index may be the most stable of the three surrogate IR markers. Finally, a correlation was identified between IR and the risk of all-cause mortality in patients undergoing PD.

Indexed as

Body Mass IndexInsulin ResistancePeritoneal DialysisTriglyceridesAdultAgedBlood GlucoseCholesterol, HDLFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsBlood GlucoseCholesterol, HDLTriglycerides

Identifiers

PMID39244537
PMCPMC11380203

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.