Evidence map›Paper›PMID 39051057›Full record

ArticleJournal of inflammation research2024

Usefulness of the Systemic Inflammation Response Index and the Systemic Immune Inflammation Index in Predicting Restenosis After Stent Implantation.

Panpan Xu, Yu Cao, Ruiqing Ren, Shuai Zhang, Cheng Zhang, Panpan Hao, Meng Zhang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. B lymphocytes and hyperglycemia synergistically exacerbate coronary in-stent restenosis.International journal of cardiology. Cardiovascular risk and prevention · 2026
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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

7 authors.

Panpan XuDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0009-0009-2064-7200
Yu CaoDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Ruiqing RenDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Shuai ZhangDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Cheng ZhangDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Panpan HaoDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Meng ZhangDepartment of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The systemic inflammation response index (SIRI) and the systemic immune inflammation index (SII) are indicators that reflect the body's overall systemic inflammatory response. Inflammation plays an important role in the pathogenesis of in-stent restenosis (ISR). The aim of this study was to investigate the predictive value of preoperative SIRI and SII for the occurrence of ISR in patients undergoing coronary stent implantation. Materials and Methods: We retrospectively analyzed the clinical, hematological, and angiographic data of 387 patients who underwent coronary angiography for recurrent angina after coronary stent implantation at Qilu Hospital of Shandong University. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff values for SIRI and SII to predict ISR. Based on the optimal cutoff values for SIRI and SII, patients were categorized into high-SIRI, low-SIRI, high-SII, and low-SII groups. Multivariate logistic regression models were constructed to assess the predictive value of SIRI and SII for ISR >50% and ISR >70%. Results: This study included a total of 387 patients who underwent coronary angiography and follow-up at Qilu Hospital of Shandong University. Patients in the high-SIRI group had a higher incidence of ISR than those in the low-SIRI group (ISR >50%: 44.8% vs 30.7%, Conclusion: Elevated preoperative SIRI and SII values help predict ISR and may serve as a useful screening tool to perform interventional procedures based on the patient's risk of ISR after stent implantation.

Indexed as

in-stent restenosispercutaneous coronary interventionSIISIRI

Identifiers

PMID39051057
PMCPMC11268991

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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.