Evidence map›Paper›PMID 35941535›Full record

ArticleBMC cardiovascular disorders2022

Relationship between increased systemic immune-inflammation index and coronary slow flow phenomenon.

Xin-Tong Dai, Tian-Zhong Kong, Xiao-Jiao Zhang, Bo Luan, Yong Wang, Ai-Jie Hou

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

30 citing papers in PubMed, 41 citations in OpenAlex.

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  16. Coronary Slow-Flow Syndrome: A Review on Natural History of Disease and Best Practices.Research in heart yield and translational medicine · 2025
    Review
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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

6 authors at 2 institutions in 1 country.

Xin-Tong DaiDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
Tian-Zhong KongDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
Xiao-Jiao ZhangDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
Bo LuanDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China.
Yong WangDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China. drwangyong2016@163.com.
Ai-Jie HouDepartment of Cardiology, The People' S Hospital of China Medical University, The People' S Hospital of Liaoning Province, No. 33, Wenyi Road, Shenhe District, Shenyang City, Liaoning Province, China. 1758624242@qq.com.
China Medical University · CNLiaoning Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio), a new marker of inflammation, is associated with adverse cardiovascular events, but its relationship with coronary slow flow phenomenon (CSFP) is unclear. Therefore, we aimed to investigate the relationship between SII and CSFP.

methodsWe enrolled consecutive patients who presented with chest pain, with normal/near-normal coronary angiography findings (n = 89 as CSFP group; n = 167 as control group). The baseline characteristics, laboratory parameters and angiographic characteristics of the two groups were compared.

resultsSII levels were significantly higher in the CSFP group than in the control group (409.7 ± 17.7 vs. 396.7 ± 12.7, p < 0.001). A significant positive correlation between SII and the mean thrombolysis in myocardial infarction frame count (mTFC) was found (r = 0.624, p < 0.001). SII increased with the number of coronary arteries involved in CSFP. In multivariate logistic regression analysis, SII/10 was an independent predictor of CSFP (odds ratio: 1.739, p < 0.001). In addition, the SII level > 404.29 was a predictor of CSFP with 67.4% sensitivity and 71.9% specificity.

conclusionsSII can predict the occurrence of CSFP.

Indexed as

Myocardial InfarctionNo-Reflow PhenomenonCoronary AngiographyCoronary VesselsHumansInflammationCoronary angiographyCoronary slow flow phenomenonInflammationSystemic immune-inflammation indexTIMI frame count

Identifiers

PMID35941535
PMCPMC9358856
OpenAlexW4290565569

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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.