Evidence map›Paper›PMID 40119406›Full record

ArticleLipids in health and disease2025

Association of the remnant cholesterol to high-density lipoprotein cholesterol ratio with mortality in peritoneal dialysis patients.

Zebin Wang, Sibing Huang, Na Tian, Qingdong Xu, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang, Ning Su, Xiaoran Feng, Xingming Tang and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Lipids in health and disease, 2025. 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.

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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

15 authors.

Zebin Wang *Department of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Sibing Huang *Department of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Na TianDepartment of Nephrology, General Hospital of Ningxia medical university, Yinchuan, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, 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.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, No.26, Yuancun Erheng Road, Guangzhou, 510655, PR China.
Xiaoran FengDepartment of Nephrology, Jiujiang NO. 1 People's Hospital, 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.
Jianbo LiangDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Jiao LiDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China. gzlijiao@163.com.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China. yueqiangwen@163.com.

Funding

Clinical Research Project of the Second Affiliated Hospital of Guangzhou Medical University 2021-LCYJ-DZX-03,2022-LCYJ-YYDZX-03Second Affiliated Hospital of Guangzhou Medical University Fund Project 2021-LCYJ-04the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital 202201-304
6 · The paper itself

Abstract

backgroundIn individuals receiving continuous ambulatory peritoneal dialysis (CAPD), remnant cholesterol (RC) and high-density lipoprotein cholesterol (HDL-C) levels significantly influence clinical outcomes. Current clinical practice might benefit from assessing these two lipid markers in combination when evaluating cardiovascular disease (CVD) and all-cause mortality. Therefore, this research sought to examine how the RC/HDL-C ratio correlates with both CVD and all-cause mortality rates among individuals receiving CAPD treatment.

methodsBetween January 1, 2005 and December 31, 2016, a multi-center retrospective analysis of 2006 CAPD patients from five peritoneal dialysis hospitals in China was conducted. Participants were split into two subgroups in accordance with the baseline serum RC/HDL-C ratio restricted cubic spline cutoff value. The correlations between mortality and RC/HDL-C ratio were examined through case-specific hazard modeling.

resultsThe observation period documented 549 all-cause fatalities, with cardiovascular deaths accounting for 269 cases. The Kaplan-Meier analysis revealed statistically significant divergence in both all-cause mortality (log rank test P < 0.001) and CVD mortality (log rank test P = 0.003). Elevated RC/HDL-C ratios showed increased hazard ratios (HR) for all-cause mortality (1.335, 95% CI, 1.112-1.603, P = 0.002) and CVD mortality (1.319, 95% CI, 1.013-1.717, P = 0.040) compared to lower ratio counterparts. Nevertheless, no statistically meaningful association was found between CVD mortality and either RC (HR: 1.296, 95% CI, 0.992-1.691, P = 0.057) or HDL-C (HR: 0.887, 95% CI, 0.680-1.157, P = 0.376).

conclusionThe RC/HDL-C ratio independently predicts mortality in CAPD patients, persisting as a significant prognostic marker after multivariable adjustment.

Indexed as

Cardiovascular DiseasesCholesterolCholesterol, HDLPeritoneal Dialysis, Continuous AmbulatoryTriglyceridesAdultAgedBiomarkersChinaFemaleHumansKaplan-Meier EstimateLipoproteinsMaleMiddle AgedPeritoneal DialysisBiomarkersCholesterolCholesterol, HDLLipoproteinsremnant-like particle cholesterolTriglyceridesCardiovascular diseaseCholesterolHigh-density lipoproteinLipidsMortalityPeritoneal dialysis

Identifiers

PMID40119406
PMCPMC11929348

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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.