Evidence map›Paper›PMID 41444370›Full record

ArticleScientific reports2025

Prognostic significance of the C-reactive protein-triglyceride-glucose index for all-cause and cardiovascular mortality in peritoneal dialysis: a multicenter cohort study.

Mengting Wang, Wenlong Qiu, Rui Chu, Lu Li, Qingdong Xu, Yueqiang Wen, Xianfeng Wu, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

17 authors.

Mengting Wang *Department of Nephrology, General Hospital of Ningxia Medical University, School of Ningxia Medical University, Yinchuan, 750004, China.
Wenlong Qiu *Department of Nephrology, General Hospital of Ningxia Medical University, School of Ningxia Medical University, Yinchuan, 750004, China.
Rui ChuDepartment of Nephrology, General Hospital of Ningxia Medical University, School of Ningxia Medical University, Yinchuan, 750004, China.
Lu LiDepartment of Nephrology, General Hospital of Ningxia Medical University, School of Ningxia Medical University, Yinchuan, 750004, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital of Shanghai Jiao Tong University, Shanghai, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Fenfen PengDepartment of Nephrology, , Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Juan WuUrology & Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Xingming TangDepartment of Nephrology, DongGuan SongShan Lake Tungwah Hospital, Dongguan, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bin WuClinical Medicine, Class 2412, Grade 2024, Houde College (First Affiliated Hospital), Xi'an Jiaotong University, Xi'an, China.
Na TianDepartment of Nephrology, General Hospital of Ningxia Medical University, School of Ningxia Medical University, Yinchuan, 750004, China. snowwife@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic low-grade inflammation and insulin resistance (IR) frequently coexist in peritoneal dialysis (PD) and may drive excess mortality. The C-reactive protein-triglyceride-glucose index (CTI) integrates inflammatory (CRP) and metabolic (TyG) signals, but its prognostic value in PD is unknown. In a multicenter cohort of 2,240 Chinese PD patients, CTI was assessed 3 months after PD initiation and dichotomized at the median (5.09). Mortality outcomes were tracked through May 31, 2023. Analyses used Kaplan-Meier, Cox models (with and without propensity score matching [PSM]), prespecified subgroup analyses (sex, age, BMI, diabetes, hypertension), and restricted cubic splines (RCS) for dose-response. Incremental predictive value beyond established risk factors and single markers (hs-CRP, TyG) was evaluated using C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). There were 634 deaths (314 CVD). Cox regression analysis showed that a higher CTI was an independent risk factor for all-cause mortality and CVD mortality in PD patients. After full adjustment, compared with patients with CTI < 5.09, those with CTI ≥ 5.09 had a 34% higher all-cause mortality risk (HR 1.34, 95% CI 1.07-1.68) and a 39% higher CVD mortality risk (HR 1.39, 95% CI 1.01-1.93). RCS analysis revealed an approximately linear relationship between increased CTI and the elevated risk of both adverse clinical outcomes (P for nonlinearity > 0.05). The positive association between CTI and mortality was observed in both diabetic and non-diabetic subgroups (e.g., in diabetic patients: all-cause mortality HR 1.72, 95% CI 1.13-2.61; CVD mortality HR 2.11, 95% CI 1.21-3.68), with no statistically significant interaction by diabetes status (P for interaction > 0.05). Incremental predictive analyses showed that CTI had slightly higher C-indices than hs-CRP or TyG and provided only modest improvements in discrimination and reclassification. CTI independently and approximately linearly predicts all-cause and CVD mortality in PD, with consistent associations irrespective of diabetes status. It provides only modest incremental predictive value beyond hs-CRP and TyG, but its simplicity and cost-effectiveness support its potential use as a supplementary marker for risk stratification and individualized PD care.

Indexed as

Blood GlucoseCardiovascular DiseasesC-Reactive ProteinPeritoneal DialysisAdultAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsBiomarkersBlood GlucoseC-Reactive ProteinAll-cause mortalityCardiovascular diseasesC-reactive protein-triglyceride-glucose indexPeritoneal dialysis

Identifiers

PMID41444370
PMCPMC12820109

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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.