Evidence map›Paper›PMID 34276399›Full record

ArticleFrontiers in physiology2021

Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis.

Beibei Gao, Wenjing Pan, Xueting Hu, Honghao Huang, Junli Ren, Chenguang Yang, Xinbo Zhou, Tian Zeng, Jingyu Hu, Shengqi Li and 3 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

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

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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, 2 syntheses or guidelines pooled it.

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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

13 authors.

Beibei GaoDepartment of Internal Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wenjing PanDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xueting HuDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Honghao HuangDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Junli RenDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Chenguang YangDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xinbo ZhouDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Tian ZengDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jingyu HuDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Shengqi LiDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yufan GaoDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Shunkai ZhangDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Guangyong ChenDepartment of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMounting researches have illuminated that the neutrophil-related ratios were related to the prognosis of acute ischemic stroke (AIS). However, few have compared their predictive value and accuracy. To make such comparison and identify the best indicator on the 90-day outcome, we investigated biomarkers including neutrophil ratio (Nr), neutrophil count (Nc), lymphocyte (L), neutrophil-to-lymphocyte ratio (NLR), platelet (P or PLT), platelet-to-neutrophil ratio (PNR), NLR-to-platelet ratio (NLR/PLT), eosinophil (E), neutrophil-to-eosinophil ratio (NER), monocyte (M), and monocyte-to-neutrophil ratio (MNR).

methodsThis retrospective study recruited 283 AIS and 872 healthy controls (HCs) receiving intravenous thrombolysis (IVT). Blood samples were collected after 24 h of admission before IVT. Propensity Score Matching (PSM) was used to explore whether these ratios differentiated AIS and HCs. We applied univariate and multivariate analyses to evaluate the prediction effect of these ratios separately or added in the model and figured out a clinical prediction model. To estimate the discrimination and calibration of the new models, the receiver operating characteristics (ROC) curve analysis, DeLong method, and likelihood ratio test (LR test) were utilized.

resultsPSM showed that Nr, Nc, NLR, P, PNR, NLR/PLT, NER, and MNR facilitates the differentiation of the HCs and AIS. Among the eight biomarkers, PNR and MNR could differentiate the 90-day outcome, and it was found out that PNR performed better. Univariate regression analysis demonstrated that PNR was the only independent predictor which needs no adjustment. Besides, the multivariate regression analysis, Delong method, and LR test indicated that among the neutrophil-related ratios, NLR, PNR, NLR/PLT, NER, and MNR exerted little influence on the discrimination but could enhance the calibration of the base model, and NER proved to work best.

conclusionLow PNR was the best indicator among the neutrophil-related ratios tin predicting a poor 90-day outcome of AIS patients. Moreover, high NER performed best when predicting the 90-day outcome to improve the calibration of the base model.

Indexed as

acute ischemic strokeModified Rankin scaleneutrophil-related ratiosneutrophil-to-eosinophil ratioplatelet-to-neutrophil ratio

Identifiers

PMID34276399
PMCPMC8283126

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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.