Evidence map›Paper›PMID 29445288›Full record

ArticleOncoTargets and therapy2018

Prognostic significance of epidermal growth factor receptor expression in glioma patients.

Junhong Li, Ruofei Liang, Chen Song, Yufan Xiang, Yanhui Liu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Molecular Biomarkers in Glioblastoma: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2022
    Pooled it
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  13. The mutated in colorectal cancer (Frontiers in oncology · 2024
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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

5 authors.

Junhong Li *Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Ruofei Liang *Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Chen SongDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yufan XiangDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
Yanhui LiuDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is a great controversy regarding the prognostic significance of epidermal growth factor receptor (EGFR) in glioma patients. The current meta-analysis was conducted to evaluate the effect of abnormal EGFR expression on overall survival in glioma patients. MATERIALS AND

methodsA comprehensive literature search of PubMed, EMBASE, Google Scholar, Web of Science, and Cochrane Library was conducted. The combined hazard ratio (HR) and its 95% confidence intervals (CIs) were used to evaluate the association between EGFR expression and survival in glioma.

resultsA total of 476 articles were screened, and 17 articles containing 1,458 patients were selected. The quality assessment of the included studies was performed by the Newcastle-Ottawa Scale. Overexpression of EGFR was found to be an indicator of poor prognosis in overall survival in glioma patients (HR =1.72, 95% CI 1.32-2.25,

conclusionThis meta-analysis indicated that high expression of EGFR may serve as a biomarker for poor prognosis in glioma patients.

Indexed as

epidermal growth factor receptorgliomameta-analysisprognosis

Identifiers

PMID29445288
PMCPMC5808691

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.