Evidence map›Paper›PMID 39027193›Full record

ArticleChronic diseases and translational medicine2024

Predictive value of total cholesterol to high-density lipoprotein cholesterol ratio for chronic kidney disease among adult male and female in Northwest China.

Yanli Liu, Kang Lyu, Shaodong Liu, Jinlong You, Xue Wang, Minzhen Wang, Desheng Zhang, Yana Bai, Chun Yin, Min Jiang and 1 more

Abstract read
In one paragraph

Article in Chronic diseases and translational 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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Yanli LiuSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Kang LyuSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Shaodong LiuSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Jinlong YouSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Xue WangSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Minzhen WangSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Desheng ZhangWorkers' Hospital of Jinchuan Group Co. Ltd. Jinchang Gansu China.
Yana BaiSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.
Chun YinWorkers' Hospital of Jinchuan Group Co. Ltd. Jinchang Gansu China.
Min JiangWuwei People's Hospital Wuwei Gansu China.
Shan ZhengSchool of Public Health, Institute of Epidemiology and Statistics Lanzhou University Lanzhou Gansu China.ORCID 0000-0002-3708-9219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies have found that the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) was associated with the development of chronic kidney disease (CKD). However, the relationship in different genders was rarely discussed. The aim of this study was to explore this relationship and assess its predictive power for both males and females. Methods: Based on a prospective cohort platform in northwest China, 32,351 participants without CKD were collected in the baseline and followed up for approximately 5 years. Cox proportional hazard model and restricted cubic spline regression analysis were performed to investigate the association between TC, HDL-C, TC/HDL-C and CKD in adult female and male. The clinical application value of the indicators in predicting CKD was evaluated by the receiver operator characteristic curve. Results: During a mean follow-up of 2.2 years, 484 males and 164 females developed CKD. After adjusted for relevant confounders, for every one standard deviation increase in TC, HDL-C and TC/HDL-C, the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for CKD were 1.17 (1.05-1.31), 0.84 (0.71-0.99), and 1.15 (1.06-1.25) for males, 0.94 (0.78-1.13), 0.58 (0.35-0.95), and 1.19 (1.01-1.40) for females, respectively. The results also showed that TC, HDL-C, and TC/HDL-C were associated with CKD in a linear dose-response relationship. The TC/HDL-C had the largest area under the curve (AUC) compared to TC and HDL-C, and the AUC among the females was larger than that among males. Conclusions: The TC/HDL-C was significantly associated with CKD in adult males and females and has better clinical value in predicting CKD than TC and HDL-C, especially in females.

Indexed as

chronic kidney diseasegenderJinchang Cohortpredictive valueTC/HDL‐C

Identifiers

PMID39027193
PMCPMC11252436

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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.