Evidence map›Paper›PMID 35250826›Full record

ArticleFrontiers in neurology2022

A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma.

Changjun Rao, Jinghao Jin, Jianglong Lu, Chengde Wang, Zerui Wu, Zhangzhang Zhu, Ming Tu, Zhipeng Su, Qun Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Changjun RaoDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Jinghao JinDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Jianglong LuDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Chengde WangDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Zerui WuDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Zhangzhang ZhuDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Ming TuDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Zhipeng SuDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Qun LiDepartment of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is one of the most malignant types of tumors in the central nervous system, and the 5-year survival remains low. Several studies have shown that preoperative peripheral blood tests and preoperative conventional Magnetic Resonance Imaging (MRI) examinations affect the prognosis of GBM patients. Therefore, it is necessary to construct a risk score based on a preoperative peripheral blood test and conventional MRI and develop a multielement prognostic nomogram for GBM.

methodsThis study retrospectively analyzed 131 GBM patients. Determination of the association between peripheral blood test variables and conventional MRI variables and prognosis was performed by univariate Cox regression. The nomogram model, which was internally validated using a cohort of 56 GBM patients, was constructed by multivariate Cox regression. RNA sequencing data from Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA datasets were used to determine peripheral blood test-related genes based on GBM prognosis.

resultsThe constructed risk score included the neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR), albumin/fibrinogen (AFR), platelet/lymphocyte ratio (PLR), and center point-to-ventricle distance (CPVD). A final nomogram was developed using factors associated with prognosis, including age, sex, the extent of tumor resection, IDH mutation status, radiotherapy status, chemotherapy status, and risk. The Area Under Curve (AUC) values of the receiver operating characteristic curve (ROC) curve were 0.876 (12-month ROC), 0.834 (24-month ROC) and 0.803 (36-month ROC) in the training set and 0.906 (12-month ROC), 0.800 (18-month ROC) and 0.776 (24-month ROC) in the validation set. In addition, vascular endothelial growth factor A (VEGFA) was closely associated with NLR and LMR and identified as the most central negative gene related to the immune microenvironment and influencing immune activities.

conclusionThe risk score was established as an independent predictor of GBM prognosis, and the nomogram model exhibit appropriate predictive power. In addition, VEGFA is the key peripheral blood test-related gene that is significantly associated with poor prognosis.

Indexed as

glioblastomanomogramprognosissurvivalVEGFA

Identifiers

PMID35250826
PMCPMC8893080
OpenAlexW4211239926

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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.