Evidence mapPaperPMID 41377803Full record

ArticleFrontiers in medicine2025

The inflammatory index and cytokines are associated with non-alcoholic fatty liver disease in type 2 diabetes mellitus.

Ruiqing Liu, Ruiyan Liu, Mingjuan Liu, Yaqiong Tian, Jie Liu, Yao Wang, Qiangjun Sui, Jiandong Zhang, Hongmin Xu, Zhi Qi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

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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

3 citing papers in PubMed.

  1. Article
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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.

Ruiqing LiuCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Ruiyan LiuCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Mingjuan LiuDepartment of Medical Laboratory, Fenyang College, Shanxi Medical University, Fenyang, Shanxi, China.
Yaqiong TianCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Jie LiuCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Yao WangCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Qiangjun SuiCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Jiandong ZhangCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Hongmin XuCentral Hospital, Tianjin University/Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Zhi QiDepartment of Molecular Pharmacology, School of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-alcoholic fatty liver disease (NAFLD), which is characterized by hepatic steatosis in the absence of excessive alcohol consumption, is now increasingly recognized as a significant crucial factor contributing to chronic diseases, including diabetes. Moreover, it may progress to advanced hepatic pathologies such as fibrosis, cirrhosis, and even liver cancer. Systemic inflammation could be a potential mediator in the pathogenesis of diabetes secondary to NAFLD. Thus, we aim to evaluate inflammatory biomarkers to delineate their prognostic utility. Methods: A retrospective analysis was conducted on the clinical data of 624 participants from Tianjin Third Central Hospital, spanning from January 2023 to December 2024. Among them, 234 patients with NAFLD and type 2 diabetes mellitus (T2DM) were enrolled as NAFLD + T2DM group, 197 patients with T2DM were included in T2DM group and 193 healthy individuals were recruited into the control group. Independent t-tests or Mann-Whitney U tests were employed to compare demographic and biochemical parameters. Correlation analysis was carried out to assessed the association between NAFLD-T2DM comorbidity and systemic inflammation. The receiver operating characteristic curve (ROC) analysis was utilized to identify the optimal predictor and the optimum cut-off value for the comorbidity of NAFLD- and T2DM. Results: Among serum cytokines, laboratory indicators, and six indexes, TyG, MHR, NHR, NLR and IL-6 presented a significant positive correlation with the incidence in participants with NAFLD and T2DM. Additionally, NLR (AUC: 0.868) and IL-6 (AUC: 0.777) performed the best among inflammatory indicators and cytokines. The predictors obtained from the combined testing of NLR, IL-6, and TyG offer a superior predictive value for the identification and management of NAFLD in T2DM patients. Conclusion: Based on the findings, the predictors obtained from the combined testing of NLR, IL-6, and TyG emerge as the most practical and readily accessible indicators for early screening of NAFLD from patients with T2DM.

Indexed as

IL-6MHRNAFLDNLRT2DMTyG

Identifiers

PMID41377803
PMCPMC12685878

What Socratic holds

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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.