Evidence map›Paper›PMID 36275640›Full record

ArticleFrontiers in immunology2022

Postoperative neutrophil-lymphocyte ratio predicts unfavorable outcome of acute ischemic stroke patients who achieve complete reperfusion after thrombectomy.

Yao Feng, Xuesong Bai, Wei Li, Wenbo Cao, Xin Xu, Fan Yu, Zhaolin Fu, Qiuyue Tian, Xiaofan Guo, Tao Wang and 13 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Neutrophils and leukocytes in acute ischemic stroke: Traditional markers for predicting clinical outcomes.Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi · 2026
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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

23 authors.

Yao FengDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xuesong BaiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wei LiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Wenbo CaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xin XuDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Fan YuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhaolin FuDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qiuyue TianBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Xiaofan GuoDepartment of Neurology, Loma Linda University Health, Loma Linda, CA, United States.
Tao WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Arman ShaDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yanfei ChenDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Peng GaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yabing WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jian ChenDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yan MaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Fei ChenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Adam A DmytriwNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Robert W RegenhardtNeuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qingfeng MaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Bin YangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Only approximately half of anterior circulation large vessel occlusion (LVO) patients receiving endovascular treatment (EVT) have a favorable outcome. The aim of this study was to explore the association of dynamic inflammatory markers (i.e., neutrophil to lymphocyte ratios, NLR, measured at different times after EVT) as well as other potential influencing factors with unfavorable outcome among acute ischemic stroke (AIS) patients who achieved complete reperfusion after EVT. Methods: Patients treated with EVT for LVO between January 2019 to December 2021 were prospectively enrolled. Complete reperfusion was defined as modified thrombolysis in cerebral infarction (mTICI) grade 3. A modified Rankin scale at 90 days (mRS90) of 3-6 was defined as unfavorable outcome (i.e., futile reperfusion). A logistic regression analysis was performed with unfavorable outcome as a dependent variable. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were then used to determine the diagnostic values of NLR and other relevant factors. Results: 170 patients with complete reperfusion (mTICI 3) were included in this study. Unfavorable outcome was observed in 70 (41.2%). Higher NLR within 24h (p=0.017) and at 3-7d (p=0.008) after EVT were an independent risk factors for unfavorable outcome at 3 months. In addition, older age, higher NIHSS scores, poor collaterals, and general anesthesia were independent predictors of unfavorable outcomes. When accounting for NLR, the diagnostic efficiency improved compared to conventional characteristics. Conclusion: Our findings suggest that advanced age, increased stroke severity, poor collaterals, general anesthesia, and NLR are independent predictors for an unfavorable clinical outcome following complete reperfusion after EVT. Neuroinflammation may merit particular attention in future studies.

Indexed as

Endovascular ProceduresIschemic StrokeCerebral InfarctionHumansLymphocytesNeutrophilsReperfusionThrombectomyTreatment Outcomeacute ischemic strokeendovascular treatmentinflammationNLRprognosisreperfusion

Identifiers

PMID36275640
PMCPMC9585914

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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.