Evidence map›Paper›PMID 39319403›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Age Difference in the Connection Between Systemic Inflammatory Response and Metabolic Syndrome.

Haishan Wei, Dan Xu, Jiying Chen, Haiyan Yu, Xiaodong Zhang, Zhiyun Liu, Chen Liu, Yuan Guo

Erratum issuedAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Haishan WeiDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.ORCID 0009-0002-3138-576X
Dan XuDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.
Jiying ChenDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.
Haiyan YuSchool of General Practice and Continuing Education, Capital Medical University, Beijing, 100000, China.
Xiaodong ZhangDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.
Zhiyun LiuDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.
Chen LiuDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.
Yuan GuoDepartment of General Practice, Qilu Hospital of Shandong University, Jinan, 250012, China.ORCID 0000-0003-4178-369X

Funding

Natural Science Foundation Youth Project of Shandong Province ZR2022QH255
6 · The paper itself

Abstract

backgroundThis research aims to investigate the connection between systemic inflammatory response and metabolic syndrome (MetS) across different age groups, with the aim of proposing more targeted recommendations.

methodsThis study enrolled 15 959 adults from the 2001-2018 National Health and Nutrition Examination Survey of whom 6739 were diagnosed with MetS. After dividing the systemic immune-inflammation index (SII) into 4 quartiles, the Kruskal-Wallis test and weighted chi-square test were employed to assess statistical differences. Weighted multivariable logistic regression analysis, subgroup analysis, sensitivity analysis, and restricted cubic spline were employed to examine the relationship between SII and MetS.

resultsOur study revealed that SII exhibits a quantitative association with MetS [odds ratio (OR) = 1.56; 95% confidence interval (CI): 1.37-1.79; P < .001]. Elevated SII is an independent risk factor for the 5 components of MetS. Different age groups and alcohol consumption status could modify the connection between SII and MetS. This connection was statistically significant in the 18 to 65 age group but not in the elderly subgroup (OR = 1.08; 95% CI, .95-1.23; P = .248). Multiple imputation confirmed the robustness of our results. Moreover, the connection exhibits an inverted U-shaped curve.

conclusionOur research highlights the predictive significance of SII in forecasting the incidence of MetS in young and middle-aged populations. The differences in inflammatory mechanisms across various age groups necessitate further research for exploration.

Indexed as

InflammationMetabolic SyndromeSystemic Inflammatory Response SyndromeAdolescentAdultAgedAge FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsYoung Adultage differencesmetabolic syndromenational health and nutrition examination surveysystemic immune-inflammation index

Identifiers

PMID39319403
PMCPMC11834715

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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 OpenQuestion graph.