Evidence map›Paper›PMID 33314753›Full record

ArticleBrain and behavior2021

Inflammatory markers as independent predictors for stroke outcomes.

Xiao-Guang Zhang, Jie Xue, Wen-Hao Yang, Xu-Shen Xu, Hong-Xian Sun, Liang Hu, Ling-Yun Liu, Yun-Hua Yue

Abstract read
In one paragraph

Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. The role of IL-6 in atherosclerosis: a narrative review.Frontiers in cardiovascular medicine · 2026
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  15. Causal associations of circulating Helicobacter pylori antibodies with stroke and the mediating role of inflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
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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

8 authors.

Xiao-Guang ZhangDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Jie XueDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Wen-Hao YangDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Xu-Shen XuDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Hong-Xian SunDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Liang HuDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Ling-Yun LiuDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.
Yun-Hua YueDepartment of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China.ORCID 0000-0001-8812-5745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation plays an important role in the pathophysiology of stroke. The aim of the present study was to investigate the association between various inflammatory risk markers and ischemic stroke outcome and subtype.

methodsA total of 3,013 ischemic stroke patients who were admitted to our hospital from 01/01/2016 to 12/30/2018 were retrospectively studied. Stroke subtypes were defined by the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. Levels of five common inflammatory markers including white blood cell (WBC) count, neutrophil, lymphocyte, serum C-reactive protein (CRP), and interleukin-6 (IL-6) were measured, and eleven conventional risk factors were further evaluated in the prediction of overall mortality as well as three functional outcomes defined by the National Institute of Health Stroke Scale (NIHSS), the modified Rankin Scale (mRS), and the Barthel Index (BI). Independent predictors of outcome were identified by multivariate logistic regression, and an importance score measured by the area under the receiver operating characteristics curve for each predictor using a Naive Bayes model was reported.

resultsNeutrophil and WBC were significantly higher in large-artery atherosclerosis (LAA) and cardioembolism (CE) subtype. In contrast, lymphocyte was significantly higher in small-artery occlusion (SAO). Neutrophil-lymphocyte ratio and CRP level were the best independent predictors, after adjustment for traditional risk factors and TOAST subtype for all four types of outcomes.

conclusionInflammatory risk markers including neutrophil, lymphocyte, and CRP may have strong independent prediction values for stroke outcome.

Indexed as

Brain IschemiaStrokeBayes TheoremBiomarkersHumansRetrospective StudiesBiomarkersinflammationnational institute of health stroke scalesmall-artery occlusionstroke

Identifiers

PMID33314753
PMCPMC7821567

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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.