Evidence map›Paper›PMID 42211236›Full record

ArticleJournal of inflammation research2026

The Systemic Immune-Inflammation Index as a Predictor of Clinical Outcomes in Chronic Coronary Syndrome: Influence of Diabetes Mellitus.

Luwa Gao, Xinbo Bai, Yuqi Zhao, Xue Bao, Jing Lu, Haishen Yu, Biao Xu, Jianzhou Chen, Lina Kang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Luwa Gao *Department of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Xinbo Bai *Department of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Yuqi ZhaoDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Xue BaoDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Jing LuDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Haishen YuDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.ORCID 0009-0009-8633-8822
Biao XuDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Jianzhou ChenDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Lina KangDepartment of Cardiology, Cardiovascular Disease Center, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation plays a critical role in the prognosis of coronary heart disease, and the Systemic Immune-Inflammation Index (SII) reflects both inflammatory status and immune balance. While elevated SII has been associated with adverse outcomes, its prognostic value in chronic coronary syndrome (CCS), particularly among diabetic patients, remains unclear. Hyperglycemia-induced inflammation, which enhances neutrophil activation and platelet reactivity, contributes to a more severe atherosclerosis burden in diabetes. This study investigated the predictive value of SII in CCS patients and examined whether diabetes modifies this relationship. Methods: From January to December 2022, a cohort of 853 individuals with CCS who underwent coronary angiography was retrospectively analyzed and stratified by SII and glycometabolic status. This retrospective cohort study utilized fully anonymized data from the Coronary Heart Disease Database of Nanjing Drum Tower Hospital. Major adverse cardiovascular and cerebrovascular events (MACCEs), comprising cardiovascular death, nonfatal myocardial infarction, heart failure, ischemia-driven revascularization, and stroke, served as the primary endpoints. Kaplan-Meier analysis, Cox proportional hazard models, and restricted cubic spline (RCS) models were performed to evaluate the independent and combined effects of SII and glycometabolic status on clinical outcomes. Results: Over a median follow-up period of 36 months, 85 patients (9.96%) experienced MACCEs. Higher log-transformed SII remained an independent predictor of MACCEs in the whole cohort (hazard ratio (HR) 1.63, 95% confidence interval (CI) 1.05-2.55, Conclusion: Elevated SII levels independently predict adverse outcomes in patients with CCS, with a stronger prognostic effect among those with diabetes. These findings suggest that SII may serve as a simple and accessible marker for personalized risk stratification in CCS, especially in patients with diabetes.

Indexed as

cardiovascular riskchronic coronary syndromediabetes mellitusinflammationprognosissystemic immune-inflammation index

Identifiers

PMID42211236
PMCPMC13212162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.