Immunotherapy Efficacy for EGFR L858R-Mutated Lung Cancer: Meta-Analysis of 17 Studies
by Peipei Zhang·Updated 1mo ago
2.8 MB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A meta-analysis dataset of 17 studies involving 1,154 patients with TKI-resistant, EGFR L858R-mutated non-small cell lung cancer. It evaluates the efficacy of immune checkpoint inhibitors, comparing monotherapy and combination treatments against chemotherapy based on progression-free survival, objective response rate, and overall survival. The dataset was uploaded by Peipei Zhang and last updated on April 10, 2026.
Use Cases
Compare progression-free survival (PFS) outcomes for different immunotherapy regimens based on hazard ratios.
Analyze objective response rate (ORR) trends between monotherapy and combination therapies.
Validate meta-analysis findings on the efficacy of ICI plus anti-angiogenic agents plus chemotherapy regimens.
Assess overall survival (OS) data for ICI treatments versus chemotherapy in the post-TKI setting.
Strengths
Includes data from 17 studies with 1,154 patients, providing a substantive sample for analysis.
Stratifies analysis by study design (randomized controlled trials vs. single-arm studies) and treatment modality.
Reports specific hazard ratios and confidence intervals for key endpoints like PFS and OS.
Limitations
Row count and column-level documentation are absent; field semantics must be inferred after download.
Data may reflect publication or selection bias inherent to the systematic review methodology.
The dataset is small (2.8 MB), which may limit the complexity of analyses possible.
Provenance
Source
figshare, uploaded by Peipei Zhang.
Collection Method
Systematic review and meta-analysis of studies from PubMed, EMBASE, Cochrane, and Web of Science up to January 1, 2026.
Time Range
Studies included up to January 1, 2026.
Freshness
Last updated 2026-04-10 05:57:52; freshness should be verified.
Geography
null
Data is in a ZIP file format; contents require extraction. Licensed under CC-BY-4.0.