Evidence map›Paper›PMID 28932557›Full record

ArticleJournal of thoracic disease2017

Correlation between EGFR mutation status and the incidence of brain metastases in patients with non-small cell lung cancer.

Lina Li, Shuimei Luo, Heng Lin, Haitao Yang, Huijuan Chen, Ziyuan Liao, Wanzun Lin, Weili Zheng, Xianhe Xie

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 102 citations in OpenAlex.

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  9. Identifying the genomic landscape of EGFR-mutant lung cancers with central nervous system metastases.Annals of oncology : official journal of the European Society for Medical Oncology · 2025
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  16. Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

9 authors at 3 institutions in 1 country.

Lina LiDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Shuimei LuoDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Heng LinDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Haitao YangDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Huijuan ChenDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ziyuan LiaoDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Wanzun LinDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Weili ZhengDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Xianhe XieDepartment of Chemotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CNFuzhou Pulmonary Hospital of Fujian · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related death worldwide. Numerous studies have been performed to investigate the correlation between epidermal growth factor receptor (EGFR) mutation status and the incidence of brain metastases (BMs) in patients with non-small cell lung cancer (NSCLC), however, the outcomes were inconsistent. Thus, we performed this study to establish the role of EGFR mutation status in BMs.

methodsElectronic databases PubMed, Embase, Cochrane Library, CBM, WanFang, CNKI were searched to identify relevant trials. The primary endpoint was the incidence of BMs in EGFR mutations or wild type NSCLC and the secondary endpoint was overall survival calculated from the BMs emerging (BMOS).

resultsTwenty-two studies incorporating 8,152 participants were eligible. EGFR mutations group possessed a significantly higher risk of BMs (OR =1.99; 95% CI, 1.59-2.48; P=0.000) than EGFR wild type group. In the stratified analysis, compared with EGFR wild type group, EGFR mutations group had a significant higher incidence (OR =2.01; 95% CI, 1.56-2.59; P=0.000) of subsequent BMs while only a trend of increasing the incidence of initial BMs (OR =1.38; 95% CI, 0.98-1.94; P=0.066). Moreover, exon 19 deletion had a trend of increasing the incidence of BMs than exon 21 mutation (OR =1.44; 95% CI, 0.77-2.68; P=0.252). Compared with EGFR wild type group, EGFR mutations group possessed a prolonged overall BMOS (HR =0.68; 95% CI, 0.47-0.98; P=0.038) and a longer BMOS in initial BMs (HR =0.50; 95% CI, 0.31-0.80; P=0.004) but no significant difference in NSCLC with subsequent BMs (HR =0.95; 95% CI, 0.42-2.15; P=0.901).

conclusionsPatients with EGFR mutations were more susceptible to develop into BMs than those with EGFR wild type, especially during the course of disease.

Indexed as

Brain metastases (BMs)epidermal growth factor receptor (EGFR)meta-analysisnon-small cell lung cancer (NSCLC)

Identifiers

PMID28932557
PMCPMC5594201
OpenAlexW2748695779

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.