Evidence map›Paper›PMID 32765082›Full record

ArticleCancer management and research2020

Predicting Individual Prognosis and Grade of Patients with Glioma Based on Preoperative Eosinophil and Neutrophil-to-Lymphocyte Ratio.

Xu Zhang, Can Li, Lifei Xiao, Caibin Gao, Wei Zhao, Maolin Yang, Tao Sun, Feng Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 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

8 authors at 1 institution in 1 country.

Xu ZhangDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.ORCID 0000-0003-2162-3461
Can LiDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Lifei XiaoDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Caibin GaoDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Wei ZhaoDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Maolin YangDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Tao SunDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.
Feng WangDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan 750000, People's Republic of China.ORCID 0000-0003-2268-0943
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEosinophils are proven to play a role in the prognosis of some malignant-tumors. The prognostic value of eosinophils in glioma patients is, however, scarcely reported. The authors of this article have designed a novel prognostic indicator based on eosinophils and the neutrophil-to-lymphocyte ratio (NLR), named ENS, to predict the survival of patients with glioma.

methodsA retrospective study was conducted on 217 glioma patients. The cut-off values for eosinophil, NLR, and other clinical variables were determined by the receiver operating characteristic (ROC) curve analysis. Patients with both low eosinophil count (<0.08 ×10

resultsOur results showed that ENS is an independent prognostic indicator for overall survival (OS). The three-year OS rates for low-grade glioma patients (LGGs) were 84.0%, 69.0%, and 46.4% for ENS=0, ENS=1, and ENS=2, respectively (

conclusionPreoperative ENS can predict OS to some extent for LGGs and can increase prognostic accuracy for individual OS in LGGs postoperatively when incorporating other clinical variables compose a nomogram.

Indexed as

eosinophillow-grade gliomaneutrophil-to-lymphocyte rationomogramprognosis

Identifiers

PMID32765082
PMCPMC7368567
OpenAlexW3041391467

What OpenQuestion holds

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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.