Evidence map›Paper›PMID 38904046›Full record

ArticleFrontiers in endocrinology2024

Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study.

Han Guo, Chuan Wan, Jingjing Zhu, Xiuxing Jiang, Shufa Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  5. Deciphering the Association Between Homeostatic Model Assessment of Insulin Resistance and Chronic Diarrhea and the Mediating Role of Lymphocyte-to-Monocyte Ratio.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
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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

5 authors.

Han Guo *Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chuan Wan *Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jingjing ZhuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiuxing JiangFrontier Medical Training Brigade, Third Military Medical University (Army Medical University), Xinjiang, China.
Shufa LiDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Previous research suggested a relationship between the Systemic Immune-Inflammation Index (SII) and multiple adverse health conditions. However, the role of SII in prediabetes and insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore the potential relationship between SII and prediabetes and IR, providing data support for effective diabetes prevention by reducing systemic inflammation. Methods: Linear regression models were used to assess the correlation between continuous SII and risk markers for type 2 diabetes (T2D). Subsequently, multivariate logistic regression models and subgroup analyses were employed to evaluate the association between SII tertiles and prediabetes and IR, controlling for various confounding factors. Finally, restricted cubic spline graphs were used to analyze the nonlinear relationship between SII and IR and prediabetes. Results: After controlling for multiple potential confounders, SII was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 to 0.160), fasting serum insulin (FSI) (β: 1.042; 95% CI: 0.200 to 1.885), and homeostasis model assessment of insulin resistance (HOMA-IR) (β: 0.273; 95% CI: 0.022 to 0.523). Compared to participants with lower SII, those in the highest tertile had increased odds of prediabetes (OR: 1.17; 95% CI: 1.02-1.34; p for trend < 0.05) and IR (OR: 1.35; 95% CI: 1.18 to 1.51; p for trend<0.001). Conclusions: Our study results demonstrate an elevated association between SII levels and both IR and prediabetes, indicating SII as a straightforward and cost-effective method identifying individuals with IR and prediabetes.

Indexed as

Blood GlucoseInflammationInsulin ResistancePrediabetic StateAdultAgedBiomarkersCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansInsulinMaleMiddle AgedBiomarkersBlood GlucoseInsulincross-sectional studyinsulin resistanceNHANESprediabetessystemic immune-inflammation index

Identifiers

PMID38904046
PMCPMC11188308

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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.