Evidence map›Paper›PMID 30730945›Full record

ArticlePloS one2019

Early increased neutrophil-to-lymphocyte ratio is associated with poor 3-month outcomes in spontaneous intracerebral hemorrhage.

Jie Qin, Zhu Li, Guangming Gong, Hongwei Li, Ling Chen, Bo Song, Xinjing Liu, Changhe Shi, Jing Yang, Ting Yang and 1 more

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
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  7. Article
  8. Blood-Based Biomarkers in Intracerebral Hemorrhage.Journal of clinical medicine · 2023
    Review
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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

11 authors.

Jie QinThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.ORCID 0000-0002-2148-6746
Zhu LiThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Guangming GongDepartment of Immunology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, P. R. China.
Hongwei LiDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Ling ChenThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Bo SongThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Xinjing LiuThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Changhe ShiThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Jing YangThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Ting YangThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.
Yuming XuThird Department of Neurology and Key Disciplines Laboratory of Clinical Medicine of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the association of dynamic neutrophil-to-lymphocyte ratio (NLR) with 3-month functional outcomes in patients with sICH. We retrospectively identified 213 consecutive patients with sICH hospitalized in The First Affiliated Hospital of Zhengzhou University from January 2017 to May 2018. Patients were divided into functional independence (FI) or unfavorable prognosis (UP) groups based on 3-month outcomes. Admission leukocyte counts within 24 hours of symptom onset were obtained, and the recorded fraction, of which the numerator is neutrophil and the denominator is lymphocyte, as NLR0. Determined NLR1, NLR3, NLR7, and NLR14 were recorded on day 1 (n = 77), day 3 (n = 126), day 7 (n = 123), and day 14 (n = 105), respectively. The relationships between dynamic NLR or leukocyte counts and clinical features were evaluated using Spearman's or Kendall's correlation analysis. Logistic regression analyses were used to identify the risk factors for unfavorable 3-month prognosis. The patients' dynamic NLR was positively associated with the National Institutes of Health Stroke Scale, ICH score, and hematoma volume at admission, while inversely correlated to the onset GCS score and FI at 3-month follow-up. Furthermore, higher NLR or lower absolute lymphocyte count obtained at admission was independently risk factor for UP at 3 months (adjusted odds ratio [OR]: 1.06, 95% confidence interval [CI]: 1.003, 1.12; OR: 0.41, 95% CI: 0.18, 0.94, respectively). In conclusion, higher NLR and lower lymphocyte counts at early stages were predictive of 3-month unfavorable outcomes in sICH patients.

Indexed as

LymphocytesNeutrophilsAdolescentAdultCerebral HemorrhageDisease-Free SurvivalFemaleHumansLymphocyte CountMaleMiddle AgedRetrospective StudiesSurvival Rate

Identifiers

PMID30730945
PMCPMC6366889

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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.