Evidence map›Paper›PMID 34516487›Full record

ArticleMedicine2021

Correlation between preoperative inflammatory markers, Ki-67 and the pathological grade of glioma.

Guangda Xu, Chengxue Li, Yanguo Wang, Jinan Ma, Junchen Zhang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Tumor-neutrophil crosstalk promotesFrontiers in immunology · 2023
    Article
  9. Article
  10. Utility of Serum Ki-67 as a Marker for Malignancy in Dogs.Animals : an open access journal from MDPI · 2022
    Article
  11. Article
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

5 authors at 2 institutions in 3 countries.

Guangda XuDepartment of Surgery, Affiliated Hospital of Jining Medical College, Jining City, Shandong Province, China.
Chengxue LiDepartment of Neurosurgery, Affiliated Hospital of Yanbian University, Yanji City, Jilin Province, China.
Yanguo WangDepartment of Neurosurgery, Affiliated Hospital of Yanbian University, Yanji City, Jilin Province, China.
Jinan MaDepartment of Neurosurgery, Affiliated Hospital of Yanbian University, Yanji City, Jilin Province, China.
Junchen ZhangDepartment of Neurosurgery, Affiliated Hospital of Jining Medical College, Jining City, Shandong Province, China.ORCID 0000-0003-3153-3742
Foundation for Individual Rights in Education · USAffiliated Hospital of Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractTo investigate the correlation between preoperative inflammatory markers, Ki-67 expression and the pathological grade of glioma, and to provide a reference for clinical prediction of glioma prognosis.A total of 45 glioma patients who underwent surgery with complete clinical and pathological data were in our hospital from January 2012 to December 2018 were enrolled. Glioma was divided into WHO grade I to IV. Forty-five healthy health examiners with matched clinical characteristics were included to the control group. Blood routine tests were recorded at admission in both the glioma and control group. The ratio of neutrophil to lymphocyte cytometry (NLR), derived neutrophil to lymphocyte ratio (dNLR) (white blood cell count - neutrophil count to neutrophil count), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI, serum albumin content + 5 × lymphocyte count) were calculated. The expression of Ki-67 in glioma was detected by immunohistochemistry. The relationship between the above markers, Ki-67 expression and pathological grade of glioma was evaluated with receiver operating characteristics curve analysis and Spearman correlation test. The correlation between the markers and Ki-67 were also determined.NLR, dNLR, PLR were increased in the glioma group (P < .001, <.001, .002), whereas red blood cell distribution width (RDW) was decreased (P = .009). All the glioma samples expressed Ki-67 with varying degree. Receiver operating characteristics curve analysis reveals NLR, dNLR, PLR, and RDW have significant discriminating ability in differentiating the glioma and control sample. NLR, PLR, PNI, and Ki-67 were significantly correlated with glioma pathology grade (P = .023, .006, .019, <.05), while dNLR and RDW were not associated with glioma grade. Finally, NLR and PLR were related to Ki-67 expression in glioma patients (P = .002, .022), while dNLR and RDW were not related to Ki-67 expression.Preoperative inflammatory markers NLR, PLR, PNI, and postoperative Ki-67 expression are associated with pathological grade of glioma. Detection of these markers may aid in better prediction of glioma prognosis.

Indexed as

Biomarkers, TumorBrain NeoplasmsFemaleGliomaHumansImmunohistochemistryKi-67 AntigenLymphocytesMaleMiddle AgedNeoplasm GradingNeutrophilsPrognosisRetrospective StudiesROC CurveSensitivity and SpecificityBiomarkers, TumorKi-67 Antigen

Identifiers

PMID34516487
PMCPMC8428732
OpenAlexW3199392882

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.