Evidence map›Paper›PMID 40065907›Full record

ArticleJournal of inflammation research2025

Association Between Systemic Immune-Inflammatory Indices and Severity of Coronary Artery Lesions in Patients With Coronary Artery Disease in Different Glucose Metabolic States.

Xiandu Jin, Yue Liu, Wenjun Jia, Ruohang Xu, Xiuju Guan, Min Cui, Hanmo Zhang, Hao Wu, Liping Wei, Xin Qi

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

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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.

Xiandu Jin *School of Medicine, Nankai University, Tianjin, People's Republic of China.
Yue Liu *Department of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, People's Republic of China.
Wenjun JiaDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, People's Republic of China.
Ruohang XuSchool of Medicine, Nankai University, Tianjin, People's Republic of China.
Xiuju GuanSchool of Graduate Studies, Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Min CuiSchool of Medicine, Nankai University, Tianjin, People's Republic of China.ORCID 0000-0001-7896-2822
Hanmo ZhangSchool of Medicine, Nankai University, Tianjin, People's Republic of China.
Hao WuSchool of Medicine, Nankai University, Tianjin, People's Republic of China.
Liping WeiDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, People's Republic of China.
Xin QiDepartment of Cardiology, Tianjin Union Medical Center, The First Affiliated Hospital of Nankai University, Tianjin, People's Republic of China.ORCID 0000-0002-7193-5319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The systemic immune-inflammatory index (SII) serves as a comprehensive indication of systemic inflammation. However, the relationship between SII and the severity of coronary artery lesions in participants with coronary artery disease (CAD) in different glucose metabolic states has not been fully elucidated. Methods: A total of 2727 patients with CAD were enrolled between January 2018 and April 2022. SII was calculated as (platelet count × neutrophil count)/lymphocyte count. Participants were grouped by SII quartiles. Glucose metabolic status was classified as normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM) and diabetes mellitus (DM) according to World Health Organization guidelines. Logistic regression and restricted cubic spline models were applied to estimate the relationship between SII and severity of coronary artery lesions in different glucose metabolic states with further adjustments for confounders. Results: Logistic regression analysis indicated a significant association between SII and coronary lesion severity ( Conclusion: The SII is a relatively stable indicator of inflammation and is positively correlated with coronary lesion severity. This study highlights the potential of SII as a novel inflammatory biomarker for assessing the coronary lesion severity among patients in different glucose metabolic states.

Indexed as

coronary artery disease severitycoronary heart diseaseglucose metabolic statusSIIsystemic immune-inflammation index

Identifiers

PMID40065907
PMCPMC11892507

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.