Evidence mapPaperPMID 39730606Full record

ArticleScientific reports2024

Association between triglyceride to high-density lipoprotein cholesterol ratio and microalbuminuria in the Chinese population.

Xue Zhang, Haofei Hu, Lishu He, Xia Huang, Zhichao Zhang, Lirong Tu, Heping Zhang, Feiyuan Liu, Xiaohui Liu, Yongcheng He

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
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.

Xue Zhang *Department of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China.
Haofei Hu *Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong Province, China.
Lishu He *Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Xia HuangDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China.
Zhichao ZhangDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China.
Lirong TuDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China.
Heping ZhangDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China.
Feiyuan LiuDepartment of Nephrology, Langzhong Hospital of T.C.M, No.333 Badu Avenue, Langzhong, Nanchong, 637400, Sichuan Province, China.
Xiaohui LiuDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China. 15328899878@163.com.
Yongcheng HeDepartment of Nephrology, Affiliated Hospital of North Sichuan Medical College, No.1 Maoyuan South Rd, Nanchong, 637000, Sichuan Province, China. heyongcheng640815@126.com.

Funding

Discipline Construction Ability Enhancement Project of the Shenzhen Municipal Health Commission SZXJ2017031Shenzhen Science and Technology Innovation Committee JCYJ20210324133412033
6 · The paper itself

Abstract

The evidence for the association between the triglyceride (TG) to high-density lipoprotein cholesterol (HDL-c) ratio and the risk of developing microalbuminuria is still limited in the Chinese population. Therefore, our research will endeavor to explore the relationship between the two. The cross-sectional survey enrolled 32,877 general population from eight regional centers in China. If the urinary albumin-creatinine ratio (UACR) ≥ 30 mg/g, it was considered microalbuminuria. The dependent variable in the study was microalbuminuria, while the independent variable was the TG/HDL-c ratio. A binary logistic regression model was utilized to examine the independent association between the likelihood of microalbuminuria and the TG/HDL-c ratio. A generalized additive model (GAM) and spline smoothing were employed to investigate non-linear relationships between these two variables. To confirm the findings and pinpoint important turning points, subgroup and threshold effect tests were performed. The average age of the study participants was 57.67 ± 9.29 years, with 22,052 (67%) females and 10,825 (33%) males. The ratio of TG/HDL-c had a median value of 1.06, while the UACR had a median value of 9.92 mg/g. The prevalence of microalbuminuria was 14.4%. Following covariate adjustment, the prevalence of microalbuminuria and the TG/HDL-c ratio showed a significant positive connection (OR = 1.17,95% CI 1.13-1.21). Interestingly, we discovered a non-linear relationship between the occurrence of microalbuminuria and the TG/HDL-c ratio. At a TG/HDL-c ratio of 0.911, we detected an inflection point, with ORs of 1.12 (95% CI: 1.08, 1.17) on the right side of the point and 1.89 (95% CI: 1.51, 2.36) on the left. Subgroup analyses further validated the results. Our research revealed a positive and non-linear connection between the TG/HDL-c ratio and the prevalence of microalbumin in Chinese individuals. The connection was especially robust when the TG/HDL-c ratio was below 0.911. Reducing TG or raising HDL-c levels in order to lower the TG/HDL-c ratio may significantly mitigate the risk of microalbuminuria.

Indexed as

AlbuminuriaCholesterol, HDLTriglyceridesAdultAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsCholesterol, HDLTriglyceridesBinary logistic regression modelCross-sectional studyGeneralized additive modelMicroalbuminuriaNon-linearTriglycerides-to-high-density lipoprotein cholesterol ratio

Identifiers

PMID39730606
PMCPMC11680801

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.