Evidence map›Paper›PMID 39160192›Full record

ArticleScientific reports2024

Association between systemic immune-inflammation index and cardiovascular-kidney-metabolic syndrome.

Chenxuan Gao, Shizhen Gao, Renpei Zhao, Peimin Shen, Xiaorui Zhu, Yane Yang, Conghao Duan, Yansi Wang, Huan Ni, Lanping Zhou and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07547098 (Study on Construction of Whole Lifecycle Cohort, Big Data Management and Clinical Prognosis of Cardio-Renal-Metabolic), which is not on this map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 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.

NCT07547098 recruitingnot on this mapstarted 2026, after this paper: background citation

Study on Construction of Whole Lifecycle Cohort, Big Data Management and Clinical Prognosis of Cardio-Renal-Metabolic (CKM) Syndrome

Typeobservational_patient_registrySponsorFirst Affiliated Hospital of Fujian Medical UniversityRan2026 to 2031Enrolled8,000ConditionsCardiovascular Diseases (CVD), Chronic Kidney Disease, Metabolic Diseases, Cardiovascular-kidney-metabolic Syndrome
3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Cobalt mediates stage-specific toxicity of metal mixtures in cardiovascular-kidney-metabolic syndrome.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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2 more citing papers are in PubMed but not listed here.

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

16 authors.

Chenxuan Gao *Department of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Shizhen Gao *Department of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Renpei Zhao *Department of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Peimin Shen *Department of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Xiaorui ZhuDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Yane YangDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Conghao DuanDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Yansi WangDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Huan NiDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Lanping ZhouDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Yunfang XiangDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
MeiJu LiDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Zhao XuDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Yibing WangDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China.
Haijie YangDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China. phdyang@aliyun.com.
Chuanwei ZhaoDepartment of Cardiology, The Second People's Hospital of Baoshan, No.13, Zhengyang (S) Rd., Longyang Dist., Baoshan, Yunnan, China. zhaochuanwei946@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the relationship between the Systemic Immune-Inflammation Index (SII) and Cardiovascular-Kidney-Metabolic (CKM) Syndrome and its components. Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 were analyzed. CKM Syndrome is defined as the coexistence of Cardiometabolic Syndrome (CMS) and Chronic Kidney Disease (CKD). The SII is calculated using the formula: SII = (Platelet count × Neutrophil count)/Lymphocyte count. Weighted logistic regression models were used to examine the associations between SII and CKM, as well as its specific components. Restricted cubic splines explored non-linear relationships, and piecewise linear regression models assessed threshold effects. A consistent positive correlation was observed between elevated SII levels and the likelihood of CKM and its related diseases. In the fully adjusted Model 3, an increase of 1000 units in SII was associated with a 1.48-fold increase in the odds of CKM (95% CI 1.20-1.81, p < 0.001). Quartile analysis revealed a dose-response relationship, with the highest quartile of SII (Q4) showing the strongest association with CKM and its components. Nonlinear analyses revealed inflection points for waist circumference, triglycerides, low HDL-C, and cardiometabolic syndrome at specific SII levels, indicating a change in the direction or strength of associations beyond these points. Conversely, a linear relationship was observed between SII and chronic kidney disease. The SII is positively correlated with the risk of CKM Syndrome and its individual components, with evidence of non-linear relationships and threshold effects for some components.

Indexed as

InflammationMetabolic SyndromeRenal Insufficiency, ChronicAdultAgedCardio-Renal SyndromeCardiovascular DiseasesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsCardiometabolic syndromeCardiovascular-kidney-metabolic syndromeChronic kidney diseaseNational health and nutrition examination surveySystemic immune-inflammation index

Identifiers

PMID39160192
PMCPMC11333479

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Registered trials

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.