Evidence map›Paper›PMID 32857820›Full record

ArticlePloS one2020

The correlation between novel peripheral blood cell ratios and 90-day mortality in patients with acute ischemic stroke.

Xiaofeng Cao, Qing Zhu, Xin Xia, Beibei Yao, Seng Liang, Zhaoyao Chen, Minghua Wu

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

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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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Machine Learning Models for Predicting Early Neurological Deterioration and Risk Classification of Acute Ischemic Stroke.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

7 authors.

Xiaofeng CaoAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Qing ZhuAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Xin XiaDepartment of Neurology, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Beibei YaoAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Seng LiangAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Zhaoyao ChenAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Minghua WuAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.ORCID 0000-0002-6701-8825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the correlation between the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platelet-to-neutrophil ratio (PNR), platelet-to-white blood cell ratio (PWR) and 90-day mortality in patients with acute ischemic stroke (AIS).

methodsWe retrospectively included 633 patients with AIS from January 2017 to May 2018. The correlation between each indicator and the degree of neurologic deficit was assessed. Kaplan-Meier survival curves based on blood cell ratios were used to analyze the 90-day survival rate of patients with AIS.

resultsA total of 663 patients with AIS were enrolled, of which 24 (3.6%) experienced recurrence and 13 (2.0%) died. NLR>3.23 (odds ratio; OR = 2.236; 95% confidence interval [CI], 1.472-3.397; P<0.001), PNR<31.14 (OR = 0.471; 95% CI, 0.297-0.749; P = 0.001), and PWR<20.62 (OR = 0.498; 95% CI, 0.309-0.800; P = 0.004) were associated with an unfavorable 90-day prognosis. NLR>3.23, PWR<20.62, and PNR<31.14 were associated with an increased risk of 90-day mortality.

conclusionPNR, PWR, and NLR were associated with the 90-day mortality of patients with AIS. Patients with high NLRs or low PWRs and PNRs may have a greater risk of mortality than other patients. These clinical indicators may help clinicians judge unfavorable prognosis early and implement the appropriate interventions.

Indexed as

AdultAgedAged, 80 and overBiomarkersBlood Cell CountBrain IschemiaFemaleHumansKaplan-Meier EstimateMaleMiddle AgedRecurrenceRetrospective StudiesStrokeYoung AdultBiomarkers

Identifiers

PMID32857820
PMCPMC7454963

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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.