Evidence map›Paper›PMID 39664170›Full record

ArticleJournal of inflammation research2024

A Population-Based Study of the Mediating Role of WBC, NEUT and PLT in the Relationship Between Triglyceride-Glucose Index and Urinary Albumin Excretion.

Xu Sun, Jun Zhu, Zhuyin Qian, Xiaowei Chen, Jie Zhang, Cheng Ji, Li Zhao

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Xu SunChina Pharmaceutical University, Nanjing, 211198, People's Republic of China.
Jun ZhuDepartment of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, 211500, People's Republic of China.
Zhuyin QianDepartment of General Surgery, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, 211500, People's Republic of China.
Xiaowei ChenDepartment of Central Laboratory, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, 211500, People's Republic of China.
Jie ZhangDepartment of Endocrinology, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, 211500, People's Republic of China.
Cheng Ji *Department of Pharmacy, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu, 210000, People's Republic of China.
Li Zhao *China Pharmaceutical University, Nanjing, 211198, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To assess the potential association between the TyG index and the risk of abnormal UACR. Additionally, we aimed to determine the role and degree of influence of inflammatory biomarkers between the TyG index and abnormal UACR. Materials and Methods: A cross-sectional study recruited 1021 participants from a health management center between 2021 and 2022. Logistic or linear regression models, as well as mediation analysis, were employed to investigate the associations between the TyG index, inflammatory biomarkers (total and differential white blood cell counts, platelet, mean platelet volume(MPV), C-reactive protein(CRP)), and the risk of abnormal UACR. Results: The study included 1021 participants, of whom 55.0% were men. The median age (interquartile range [IQR]) was 61.0 (53, 70) years. In multivariable-adjusted logistic regression models, both with and without the inclusion of smoking, alcohol drinking, BMI, Lipid-lowering drugs using, TC, SUA, ALT, and AST as potential covariates, the TyG index was associated with the risk of UACR, both with the odds ratios (ORs) per 1-standard deviation (SD) increase were 1.32 (95% CI, 1.08-1.62) and 1.27 (95% CI, 1.05-1.52), respectively. This study also demonstrated a significant indirect effect of the TyG index on the risk of abnormal UACR through total white blood cell counts, neutrophil counts and platelet (P values < 0.05); The proportions mediated was 11.2%, 3.5% and 29.6% for each respective variable. Conclusion: Insulin resistance and inflammation are associated with an increased risk of kidney insufficiency. And indicators of inflammation weakly mediate insulin resistance and risk of kidney insufficiency.

Indexed as

neutrophil countsplateletsystemic inflammationTyG indexUACRurinary albumin-to-creatinine ratiowhite blood cell counts

Identifiers

PMID39664170
PMCPMC11633290

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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.