Evidence map›Paper›PMID 32184645›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Association of Lipid Parameters with the Risk of Chronic Kidney Disease: A Longitudinal Study Based on Populations in Southern China.

Xin Wang, Haishan Chen, Xiaofei Shao, Chongxiang Xiong, Guobao Hong, Jianhui Chen, Xiaolin Li, Xu You, Peichun Gao, Yunying Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 1 institution in 1 country.

Xin Wang *Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Haishan Chen *Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Xiaofei ShaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Chongxiang XiongDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Guobao HongDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Jianhui ChenDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Xiaolin LiDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Xu YouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Peichun GaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Yunying ChenDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Ziliang ZouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Jing NingDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Hua XiaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Hequn ZouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Lixin WeiDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Third Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate which plasma lipid parameters are useful for detecting chronic kidney disease (CKD) in a Chinese population without known CKD or renal impairment.

methodsThis was a prospective study. In southern Chinese cities from 2012 to 2013, a total of 1037 subjects aged ≥ 18 years old received a survey. Logistic regression and multiple linear regression analyses were performed. The lipid parameters studied included total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), non-high-density lipoprotein cholesterol (nHDL-C), TG/HDL-C ratio, TC/HDL-C ratio and nHDL-C/HDL-C ratio.

resultsAfter adjusting for confounding factors, the fourth percentile of logTG/HDL-C was observed to be an independent risk factor for CKD (OR = 2.453, P < 0.001), and the highest quantile of the logTG/HDL-C ratio was associated with a higher prevalence of CKD (P < 0.05). This risk was reduced when the model was adjusted with Insulin resistance (IR) (OR = 2.034, P < 0.05). In the group of women, glucose metabolism disorders, high uric acid, and obesity, this risk was increased. Multiple regression models showed that log TG and nonHDL-C/HDL-C were negatively correlated with eGFR (P < 0.05), while log TG and TC were positively correlated with logACR (P < 0.05). The area under the curve (ROC) of lgTG/HDL was 0.623 (p < 0.001).

conclusionThe serum logTG/HDL-C ratio is the only suitable predictor of CKD, and IR may be the mechanism. This risk needs to be controlled in a specific population. Log TG and nonHDL-C/HDL-C were negatively correlated with eGFR, while log TG and TC were positively correlated with logACR.

Indexed as

ACRchronic kidney diseaseCKDeGFRestimated glomerular filtration ratelipidurinary albumin to creatinine ratio

Identifiers

PMID32184645
PMCPMC7061434
OpenAlexW3010034640

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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.