Third-generation versus first-generation EGFR tyrosine kinase inhibitors in Asian patients with advanced EGFR mutant non-small cell lung cancer: a meta-analysis of randomized controlled trials

Compared with FGETs, TGETs significantly improve PFS, CNS control, response outcomes, and maintain a comparable safety profile for Asian patients with advanced EGFR-mutated NSCLC.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-10-21
DOI
https://doi.org/10.1007/s12672-025-03767-7
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Third-generation versus first-generation EGFR tyrosine kinase inhibitors in Asian patients with advanced EGFR mutant non-small cell lung cancer: a meta-analysis of randomized controlled trials

Mengwei Xu, Linlin Wan, Wei Ding, Wenxiong Zhang
Discover Oncology
Lung Cancer Treatments and Mutations
article

Third-generation versus first-generation EGFR tyrosine kinase inhibitors in Asian patients with advanced EGFR mutant non-small cell lung cancer: a meta-analysis of randomized controlled trials

Mengwei Xu, Linlin Wan, Wei Ding, Wenxiong Zhang
article en

Abstract

Compared with FGETs, TGETs significantly improve PFS, CNS control, response outcomes, and maintain a comparable safety profile for Asian patients with advanced EGFR-mutated NSCLC.

Discover OncologyVol. 16(1)
Nanchang University (CN), Second Affiliated Hospital of Nanchang University (CN), Xinyu University (CN)
Openalex Percentile: Top 57%
Lung Cancer Treatments and Mutations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.