Evidence map›Paper›PMID 36776878›Full record

ArticleFrontiers in immunology2023

Systemic immune-inflammation index is associated with aneurysmal wall enhancement in unruptured intracranial fusiform aneurysms.

Fei Peng, Jiaxiang Xia, Hao Niu, Xin Feng, Tianheng Zheng, Xiaoxin He, Boya Xu, Xuge Chen, Peng Xu, Hong Zhang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

18 authors at 6 institutions in 1 country.

Fei PengBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jiaxiang XiaBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hao NiuBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xin FengNeurosurgery Center, Department of Cerebrovascular Surgery, Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Tianheng ZhengCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining, China.
Xiaoxin HeBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Boya XuBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xuge ChenBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peng XuDepartment of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Hong ZhangOperating Room, Heze Municipal Hospital, Heze, Shandong, China.
Jigang ChenBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xin TongBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaoyan BaiTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Zhiye LiTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Yonghong DuanDepartment of Neurosurgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Binbin SuiTiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Aihua LiuBeijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNNational Clinical Research Center for Digestive Diseases · CNUniversity of South China · CNHeze Municipal Hospital · CNJining Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Inflammation plays a key role in the progression of intracranial aneurysms. Aneurysmal wall enhancement (AWE) correlates well with inflammatory processes in the aneurysmal wall. Understanding the potential associations between blood inflammatory indices and AWE may aid in the further understanding of intracranial aneurysm pathophysiology. Methods: We retrospectively reviewed 122 patients with intracranial fusiform aneurysms (IFAs) who underwent both high-resolution magnetic resonance imaging and blood laboratory tests. AWE was defined as a contrast ratio of the signal intensity of the aneurysmal wall to that of the pituitary stalk ≥ 0.90. The systemic immune-inflammation (SII) index (neutrophils × platelets/lymphocytes) was calculated from laboratory data and dichotomized based on whether or not the IFA had AWE. Aneurysmal symptoms were defined as sentinel headache or oculomotor nerve palsy. Multivariable logistic regression and receiver operating characteristic curve analyses were performed to determine how well the SII index was able to predict AWE and aneurysmal symptoms. Spearman's correlation coefficients were used to explore the potential associations between variables. Results: This study included 95 patients, of whom 24 (25.3%) presented with AWE. After adjusting for baseline differences in neutrophil to lymphocyte ratios, leukocytes, and neutrophils in the multivariable logistic regression analysis, smoking history (P = 0.002), aneurysmal symptoms (P = 0.047), maximum diameter (P = 0.048), and SII index (P = 0.022) all predicted AWE. The SII index (P = 0.038) was the only independent predictor of aneurysmal symptoms. The receiver operating characteristic curve analysis revealed that the SII index was able to accurately distinguish IFAs with AWE (area under the curve = 0.746) and aneurysmal symptoms (area under the curve = 0.739). Discussion: An early elevation in the SII index can independently predict AWE in IFAs and is a potential new biomarker for predicting IFA instability.

Indexed as

Intracranial AneurysmHeadacheHumansInflammationMagnetic Resonance ImagingRetrospective Studiesaneurysmal wall enhancementimmuneinflammationintracranial aneurysmmagnetic resonance imaging

Identifiers

PMID36776878
PMCPMC9911448
OpenAlexW4318192364

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.