Evidence map›Paper›PMID 33328750›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Comparison of Novel Metabolic Indices in Estimation of Chronic Kidney Diseases in a Southern Chinese Population.

Tong Chen, Xuan Wang, Xin Wang, Haishan Chen, Hua Xiao, Hongjuan Tang, Ling Feng, Zhicong Xiang, Hequn Zou, Xiaofei Shao

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 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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  8. The Association of HDL2b with Metabolic Syndrome Among Normal HDL-C Populations in Southern China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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

10 authors at 2 institutions in 1 country.

Tong Chen *Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Xuan Wang *Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Xin WangDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Haishan ChenDepartment 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.
Hongjuan TangDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Ling FengDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Zhicong XiangDepartment 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.
Xiaofei ShaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Third Affiliated Hospital of Southern Medical University · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the optimal cut-off values and evaluate the associations of product of triacylglycerol and glucose (TyG), lipid accumulation product (LAPI), visceral adiposity index (VAI) with chronic kidney diseases (CKD) stratified by sex.

methodsFrom January to April 2018, our team had conducted a large-scale cross-sectional survey that contained 2720 individuals on the southern coast of China. Logistic regression analysis and receiver operating characteristic (ROC) analyses were used to evaluate the optimal cut-off and value of TyG, LAPI, VAI for predicting CKD.

resultsA multivariate logistic regression analysis found that the TyG had the better value of prediction for the presence of CKD for the highest quartile vs the lowest quartile in both males (OR: 3.65; 95% CI, 2.04-6.52; p<0.001) and females (OR: 3.50; 95% CI, 2.20-5.56; p<0.001), followed by LAPI and VAI, when further adjusted for cofounder factors, LAPI and VAI both lost their independence, and only TyG remains its significant association with CKD in both males (OR: 2.81; 95% CI, 1.25-6.30; p<0.001) and females (OR: 3.22; 95% CI, 1.56-6.61; p<0.001). ROC curve showed that TyG had the highest AUC for predicting CKD in males (AUC: 0.618). TyG (AUC: 0.670) and LAPI (AUC: 0.670) both had the highest AUC in females. United predicted models which contain TyG were conducted for predicting CKD in males (AUC: 758) and females (AUC: 0.773) and results indicated that multivariate analysis of TyG and other traditional factors can impressively improve the accuracy of predictive probability for CKD.

conclusionTyG is a priority to the other two novel indices and may become valuable makers and have strong predictive power for predicting CKD, especially in females.

Indexed as

chronic kidney diseaseslipid accumulation productproduct of triacylglycerol and glucosevisceral adiposity index

Identifiers

PMID33328750
PMCPMC7735784
OpenAlexW3112139165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.