Evidence map›Paper›PMID 30760227›Full record

SynthesisBMC cancer2019

The role of EGFR mutation as a prognostic factor in survival after diagnosis of brain metastasis in non-small cell lung cancer: a systematic review and meta-analysis.

Wen-Ya Li, Ting-Ting Zhao, Hui-Mian Xu, Zhen-Ning Wang, Ying-Ying Xu, Yunan Han, Yong-Xi Song, Jian-Hua Wu, Hao Xu, Song-Cheng Yin and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 73 citations in OpenAlex.

  1. Construction of a survival prediction model and analysis of influencing factors for brain metastasis in non-small cell lung cancer based on multi‑parameter clinical data.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  8. Proteomics-based clustering of lung adenocarcinoma identifies three subtypes with significantly different clinical and molecular features.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

12 authors at 2 institutions in 2 countries.

Wen-Ya LiDepartment of Thoracic Surgery, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
Ting-Ting ZhaoDepartment of Breast Surgery, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
Hui-Mian XuDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Zhen-Ning WangDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Ying-Ying XuDepartment of Breast Surgery, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yunan HanDepartment of Breast Surgery, First Hospital of China Medical University, Shenyang, Liaoning Province, China.
Yong-Xi SongDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Jian-Hua WuDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Hao XuDepartment of Medical Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China.
Song-Cheng YinDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Xing-Yu LiuDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China.
Zhi-Feng MiaoDepartment of Surgical Oncology, First Hospital of China Medical University, Shenyang, 110001, Liaoning Province, China. zfmiao@cmu.edu.cn.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

National Natural Science Foundation of China 81272718National Natural Science Foundation of China 81302125National Natural Science Foundation of China 81372550
6 · The paper itself

Abstract

backgroundThe brain is a common site for metastasis in non-small-cell lung cancer (NSCLC). This study was designed to evaluate the relationship between the mutational of the epidermal growth factor receptor (EGFR) and overall survival (OS) in NSCLC patients with brain metastases.

methodsSearches were performed in PubMed, EmBase, and the Cochrane Library to identify studies evaluating the association of EGFR mutation with OS in NSCLC patients through September 2017.

results4373 NSCLC patients with brain metastases in 18 studies were involved. Mutated EGFR associated with significantly improved OS compared with wild type. Subgroup analyses suggested that this relationship persisted in studies conducted in Eastern, with retrospective design, with sample size ≥500, mean age of patients ≥65.0 years, percentage male < 50.0%, percentage of patients receiving tyrosine kinase inhibitor ≥30.0%. Finally, although significant publication bias was observed using the Egger test, the results were not changed after adjustment using the trim and fill method.

conclusionsThis meta-analysis suggests that EGFR mutation is an important predictive factor linked to improved OS for NSCLC patients with brain metastases. It can serve as a useful index in the prognostic assessment of NSCLC patients with brain metastases.

Indexed as

Biomarkers, TumorBrain NeoplasmsCarcinoma, Non-Small-Cell LungErbB ReceptorsHumansLung NeoplasmsMutationPrognosisBiomarkers, TumorEGFR protein, humanErbB ReceptorsBrain metastasisEGFRLung cancerMeta analysisPrognosis

Identifiers

PMID30760227
PMCPMC6375157
OpenAlexW2946942312

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.