Evidence map›Paper›PMID 39732905›Full record

ArticleScientific reports2024

Predictive value of system immune-inflammation index for the severity of coronary stenosis in patients with coronary heart disease and diabetes mellitus.

Haiming Wang, Zhihang Huang, Jing Wang, Shuai Yue, Yu Hou, Rui Ren, Yue Zhang, Yu Cheng, Ran Zhang, Yiming Mu

Abstract 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. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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.

Haiming Wang *Department of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Zhihang Huang *Department of Cardiovascular Medicine, Xiang' An Hospital of Xiamen University, Xiamen, 361101, China.
Jing WangPharmaceutical Sciences Research Division, Department of Pharmacy, Medical Supplies Center of Chinese PLA General Hospital, Beijing, 100853, China.
Shuai YueDepartment of Cardiovascular Medicine, Chinese PLA General Hospital & Chinese PLA Medical School, Beijing, 100853, China.
Yu HouDepartment of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Rui RenDepartment of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yue ZhangDepartment of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Yu ChengDepartment of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. chengyu_301@163.com.
Ran ZhangDepartment of Cardiovascular Medicine, Chinese PLA General Hospital & Chinese PLA Medical School, Beijing, 100853, China. zhangran@plagh.org.
Yiming MuDepartment of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. muyiming@301hospital.com.

Funding

Fujian Provincial Natural Science Foundation social development science and technology guiding project 2022D035National Key Research and Development Program of China 2021YFC2701700
6 · The paper itself

Abstract

Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM. We enrolled a total of 2760 patients with cardiovascular disease between November 2023 and May 2024. All eligible participants were divided into the CHD group and the DM & CHD group according to the existence of comorbid DM. Our study revealed that the SII values were significantly higher in diabetic patients with CHD compared to those with CHD alone (P < 0.05). Furthermore, among patients with both CHD and DM, higher SII values were associated with a greater likelihood of developing complex, triple-branch coronary artery lesions, while the opposite trend was observed in CHD populations (P < 0.05). In the regression model completely adjusted for potential confounders, the correlation between high SII levels and co-existing DM status in CHD patients persisted as statistically significant even after attaining guideline-recommended LDL-C and TG goals (P < 0.05). Moreover, our findings demonstrated a significant link between SII levels and the severity of coronary artery stenosis as assessed by coronary angiography, particularly in the DM and CHD patient cohorts (P < 0.05). Further stratified analysis revealed a novel finding that SII levels in DM and CHD patients maintained a positive linear relationship with coronary plaque burden even under stringent glycemic control (P < 0.01, r = 0.37), whereas this correlation was absent in CHD patients who had FBG of 7 mmol/L or lower upon admission (P < 0.01, r < 0.30). These important findings underscore the SII as an independent predictor of the severity of coronary plaque burden in diabetic patients with CHD, offering valuable insights that can aid clinicians in refining risk stratification and implementing personalized management strategies for those at elevated risk.

Indexed as

Coronary DiseaseCoronary StenosisInflammationSeverity of Illness IndexAgedDiabetes MellitusFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsCoronary atherosclerotic stenosisCoronary heart diseaseDiabetes mellitusSystem immune-inflammation index

Identifiers

PMID39732905
PMCPMC11682039

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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.