Evidence map›Paper›PMID 39148021›Full record

ArticleBMC neurology2024

Systemic inflammatory response index as a predictor of stroke-associated pneumonia in patients with acute ischemic stroke treated by thrombectomy: a retrospective study.

Feng Zheng, Wen Gao, Yinfeng Xiao, Xiumei Guo, Yu Xiong, Chunhui Chen, Hanlin Zheng, Zhigang Pan, Lingxing Wang, Shuni Zheng and 5 more

Abstract read
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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

15 authors.

Feng Zheng *Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China. dr.feng.zheng@gmail.com.
Wen Gao *Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Yinfeng Xiao *Neuromedicine Center, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Xiumei Guo *Department of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Yu XiongDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Chunhui ChenDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Hanlin ZhengDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Zhigang PanDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Lingxing WangNeuromedicine Center, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Shuni ZhengDivision of Public Management, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Chuhan KeDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China.
Qiaoling LiuDepartment of Clinical Laboratory, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China. liuqiaoling592@163.com.
Aihua LiuBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, No. 119, South Fourth Ring West Road, Fengtai District, Beijing, 100070, China. liuaihuadoctor@ccmu.edu.cn.
Xinyue HuangDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China. 1303433529@qq.com.
Weipeng HuDepartment of Neurosurgery, the Second Affiliated Hospital, Fujian Medical University, No.34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China. neurosurgery_fyey@163.com.

Funding

Doctoral Startup Fund of the Second Affliated Hospital of Fujian Medical University BS202205Quanzhou City Science and Technology Program 2022NS084
6 · The paper itself

Abstract

backgroundThe predictive value of systemic inflammatory response index (SIRI) for stroke-associated pneumonia (SAP) risk in patients with acute ischemic stroke (AIS) treated by thrombectomy remains unclear. This study aimed to investigate the predictive value of SIRI for SAP in patients with AIS treated by thrombectomy.

methodsWe included AIS patients treated by thrombectomy between August 2018 and August 2022 at our institute. We used multivariate logistic regression to construct the prediction model and performed a receiver operating characteristic curve analysis to evaluate the ability of SIRI to predict SAP and constructed a calibration curve to evaluate the prediction accuracy of the model. We evaluated the clinical application value of the nomogram using decision curve analysis.

resultsWe included 84 eligible patients with AIS in the analysis, among which 56 (66.7%) had SAP. In the univariate analysis, there were significant differences in sex (p = 0.035), National Institute of Health Stroke Scale score at admission ≥ 20 (p = 0.019) and SIRI (p < 0.001). The results of multivariable logistic analysis showed that the risk of SAP increased with the SIRI value (OR = 1.169, 95% CI = 1.049-1.344, p = 0.014). Age ≥ 60 (OR = 4.076, 95% CI = 1.251-14.841, p = 0.024) was also statistically significant. A nomogram with SIRI showed good prediction accuracy for SAP in AIS patients treated by thrombectomy (C-index value = 0.774).

conclusionsSIRI is an independent predictor for SAP in patients with AIS treated by thrombectomy. A high SIRI value may allow for the early identification of patients with AIS treated by thrombectomy at high risk for SAP.

Indexed as

Ischemic StrokePneumoniaThrombectomyAgedAged, 80 and overFemaleHumansMaleMiddle AgedNomogramsPredictive Value of TestsRetrospective StudiesSystemic Inflammatory Response SyndromeEpidemiologyPredictorStroke-associated pneumoniaSystemic inflammatory response index

Identifiers

PMID39148021
PMCPMC11325834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.