Evidence map›Paper›PMID 37938870›Full record

ArticleBrain and behavior2023

Predictive value of the systemic immune inflammation (SII) index for stroke-associated pneumonia.

Zhanhang Cui, Sai Kuang, Xiaorong Yang, Ying Wang, Shanshan Gu, Hongyu Li, Huibin Chen, Yanbing Han, Haimei Sun

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  5. Predictors of response to accelerated rTMS in the treatment of treatment-resistant depression.European archives of psychiatry and clinical neuroscience · 2025
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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

9 authors at 1 institution in 1 country.

Zhanhang CuiSchool of Public Health, Kunming Medical University, Kunming, Yunnan Province, China.ORCID 0009-0006-4480-1151
Sai KuangSchool of Public Health, Kunming Medical University, Kunming, Yunnan Province, China.
Xiaorong YangDepartment of Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Ying WangDepartment of Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Shanshan GuDepartment of Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Hongyu LiDepartment of Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Huibin ChenDepartment of Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Yanbing HanDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Haimei SunDepartment of Neurology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China.
Kunming Medical University · CN

Funding

Science and Technology Planning Project of Yunnan Provincial Science and Technology Department 202101AY070001-117Yunnan Clinical Medical Research Center for Nervous System Diseases 202002AA100204
6 · The paper itself

Abstract

objectiveTo investigate the predictive value of the systemic immune inflammation (SII) index on the occurrence of stroke-associated pneumonia (SAP) in patients with acute stroke.

methodsData of patients with or without a previous history of pulmonary who visited the First Affiliated Hospital of Kunming Medical University within 24 h of the onset of stroke were collected between January 2017 and December 2019. Patient's demographic data, stroke type, past medical history, National Institutes of Health Stroke Scale score, Glasgow Coma score, and laboratory tests were collected. Logistic regression models and receiver-operating characteristic (ROC) curves were used to investigate the predictive value of SII for the development of SAP in patients with stroke.

resultsWe included 395 patients with acute stroke, with a mean age of 63.89 ± 13.42 years, of whom 340 (86.1%) had ischemic stroke, and 55 (13.9%) had hemorrhagic stroke. Out of 395, 113 (28.6%) had SAP and 282 (71.4%) did not, and the SII level in the SAP group was higher than that of the non-SAP group (p < .05). Logistic regression analysis of patients with stroke showed that higher SII was a risk factor for SAP in patients with stroke (per 100 units, HR = 1.081, 95% CI: 1.035-1.130, p < .001), and tertile grouping of SII showed that the risk of SAP was 5.059 times higher in the SIIQ3 group than in the SIIQ1 group (95% CI: 2.061-12.418, p < .001). ROC curve analysis indicated that the SII index had predictive value for the occurrence of SAP in patients with stroke, with an area under the curve of 0.752 (95% CI: 0.698-0.806). When the cutoff value was 861.01, the SII predicted SAP in patients with stroke with a sensitivity of 61.9% and a specificity of 76.2%.

conclusionHigher SII is an independent risk factor for the development of SAP in patients with stroke and has some predictive value for the development of SAP.

Indexed as

PneumoniaStrokeAgedHumansInflammationMiddle AgedPrognosisRetrospective StudiesRisk Factorsacute strokepredictive valuestroke-associated pneumoniasystemic immune inflammation index

Identifiers

PMID37938870
PMCPMC10726822
OpenAlexW4388488863

What Socratic 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 Socratic graph.