Evidence map›Paper›PMID 35370926›Full record

ArticleFrontiers in neurology2022

Predictive Value of the Systemic Immune Inflammation Index for Adverse Outcomes in Patients With Acute Ischemic Stroke.

Yun-Xiang Zhou, Wen-Cai Li, Shao-Huai Xia, Ting Xiang, Can Tang, Jia-Li Luo, Ming-Jian Lin, Xue-Wei Xia, Wen-Bo Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
12.6field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 82 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

9 authors at 3 institutions in 1 country.

Yun-Xiang ZhouDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Wen-Cai LiDepartment of Neurosurgery, Huizhou Municipal Central Hospital, Huizhou, China.
Shao-Huai XiaDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Ting XiangDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Can TangDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Jia-Li LuoDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Ming-Jian LinDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Xue-Wei XiaDepartment of Neurosurgery, Affiliated Hospital of Guilin Medical University, Guilin, China.
Wen-Bo WangDepartment of Neurosurgery, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Guilin Medical University · CNHuizhou Central People's Hospital · CNNanxi Mountain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: The systemic immune-inflammation index, a new index based on platelets, neutrophils and lymphocytes, has been shown to be associated with outcomes of patients with venous sinus thrombosis and cancer. However, its application in acute ischemic stroke has rarely been reported. Therefore, we examined the relationship between systemic immune-inflammation index levels at hospital admission and the outcomes of patients 3 months after onset, and plotted a nomogram to predict the probability of adverse outcomes in patients with acute ischemic stroke. Methods: We retrospectively analyzed a total of 208 patients with acute ischemic stroke who were admitted between January 2020 and December 2020, and recorded the modified Rankin score 3 months later. A modified Rankin score ≥ 3 was defined as an adverse outcome. Age, sex, NIHSS score, SII, hypertension and coronary heart disease were included in the binary logistic regression, and the nomogram was plotted with a regression equation. Results: Receiver operating characteristic (ROC) curve analysis indicated that the best cutoff value of the systemic immune-inflammation index was 802.8, with a sensitivity of 70.9% and specificity of 58.2% (area under the curve: 0.657, 95% confidence interval: 0.572-0.742). The nomogram had a C index of 0.802. The average error of the calibration curves of the training set and the validation set was 0.021 and 0.034, respectively. Conclusion: The systemic immune-inflammation index is associated with short-term adverse outcomes in patients with acute ischemic stroke, and the nomograms can predict the risk of adverse outcomes in patients with acute ischemic stroke.

Indexed as

acute ischemic stroke (AIS)inflammationnomogramoutcomesystemic immune-inflammation index (SII)

Identifiers

PMID35370926
PMCPMC8971364
OpenAlexW4221028502

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.