Evidence map›Paper›PMID 39678226›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Association Between Serum Uric Acid to Creatinine Ratio and Metabolic-Associated Fatty Liver Disease in Southeast China (TyG-BMI as a Potential Mediator).

Bingbing Chen, Xian-E Peng

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

2 authors.

Bingbing ChenDepartment of Hospital Infection Control, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, People's Republic of China.ORCID 0000-0002-1172-1060
Xian-E PengDepartment of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.ORCID 0000-0002-4795-7956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Serum uric acid to creatinine ratio (SUA/Cr) has been associated with an increased risk of metabolic syndrome; however, limited evidence exists regarding the relationship between SUA/Cr and metabolic-associated fatty liver disease (MAFLD). This study aims to investigate the association between SUA/Cr, TyG-BMI (triglyceride glucose-body mass index), and MAFLD in Chinese adults. Patients and Methods: The data were obtained from a health examination conducted at Nanping First Hospital. Spearman correlation analysis was employed to assess the association between SUA/Cr or TyG-BMI and various risk factors pertinent to MAFLD. A multivariate logistic regression model was utilized to investigate the relationship between SUA/Cr or TyG-BMI and MAFLD. Additionally, restricted cubic splines (RCS) and receiver operating characteristic (ROC) curve analyses were applied to explore the relationship between SUA/Cr and MAFLD. Mediation models were constructed to figure out the mediating role of TyG-BMI in the association between SUA/Cr and MAFLD. Results: Spearman correlation analysis showed a significant association between SUA/Cr and multiple risk factors for MAFLD (such as BMI, SBP, DBP, TG, TC, ALT, AST, GGT, FPG, and HDL). Furthermore, SUA/Cr had a positive correlation with TyG-BMI ( Conclusion: Our findings suggest a substantial association between elevated levels of SUA/Cr and an increased risk of MAFLD in the Chinese adult population, with TyG-BMI mediating this correlation.

Indexed as

metabolic-associated fatty liver diseaseSUA/CrTyG-BMI

Identifiers

PMID39678226
PMCPMC11638475

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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.