Evidence map›Paper›PMID 28651737›Full record

ArticleBiomedical journal2017

Higher neutrophil counts and neutrophil-to-lymphocyte ratio predict prognostic outcomes in patients after non-atrial fibrillation-caused ischemic stroke.

Yen-Nan Fang, Meng-Shen Tong, Pei-Hsun Sung, Yung-Lung Chen, Chih-Hung Chen, Nei-Wen Tsai, Chih-Jen Huang, Ya-Ting Chang, Shu-Fang Chen, Wen-Neng Chang and 2 more

Abstract read
In one paragraph

Article in Biomedical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 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

43 citing papers in PubMed, 5 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

12 authors.

Yen-Nan FangDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Meng-Shen TongDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Pei-Hsun SungDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Yung-Lung ChenDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chih-Hung ChenDivision of General Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Nei-Wen TsaiDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Chih-Jen HuangDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Ya-Ting ChangDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Shu-Fang ChenDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Wen-Neng ChangDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Cheng-Hsien LuDepartment of Neurology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Hon-Kan YipDivision of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; Center for Shockwave Medicine and Tissue Engineering, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan; Department of Nursing, Asia University, Taichung, Taiwan. Electronic address: han.gung@msa.hinet.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to determine whether higher neutrophil counts (NC) and neutrophil-to-lymphocyte ratio (NLR) were independently predictive of worse in-hospital outcome in patients after acute ischemic stroke (IS).

methodsA retrospective observational study with prospective manner of IS registration. Between April 2012 and August 2014, a total number of 1731 patients with post-IS were consecutively enrolled in the study. Blood samples were drawn upon admission. Primary endpoint was in-hospital mortality. Secondary endpoint was severe stroke (≥16 NIHSS).

resultsThe NC progressively increased from mild (NIHSS ≤ 5) to moderate (NIHSS ≥ 6 < 16) and severe (NIHSS ≥ 16) stroke (p = 0.006). NLR was independently associated with in-hospital mortality (p = 0.002). Multiple stepwise linear regression analysis showed that NC (p = 0.001) and NLR (p = 0.002) were independently predictive of higher NIHSS. Multiple stepwise logistic regression analysis showed that NC was independently associated with severe stroke (p < 0.0001). The best discriminating factor for in-hospital mortality with respect to NLR was ≥3.20 (sensitivity 62.7%, specificity 60.3%, likelihood ratio: 12.2). Patients with NLR ≥3.20 had a 2.55-fold increased risk for in-hospital mortality (OR = 1.49-4.37) compared to patients with NLR <3.20. The best discriminating factor for severe stroke (≥16 NIHSS) with respect to NC was ≥74% (sensitivity 47.1%, specificity 74.0%, likelihood ratio: 29.0). Patients with NC >74% had a 2.54-fold increased risk of severe stroke (OR = 1.82-3.54) compared to patients with NC <74%.

conclusionNLR was independently associated with in-hospital mortality and higher NC was independently predictive of severe stroke.

Indexed as

AgedAged, 80 and overBrain IschemiaFemaleHospital MortalityHumansLeukocyte CountLymphocytesMaleMiddle AgedNeutrophilsPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsStrokeAcute ischemic strokeDiscriminating factorIn-hospital mortalitySevere strokeTissue plasminogen activator

Identifiers

PMID28651737
PMCPMC6136280

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LicenceCC BY-NC-ND
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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.