Assessing the real-world safety of docetaxel for non-small cell lung cancer: Insights from a comprehensive analysis of FAERS data

These findings offer critical evidence for the individualized monitoring and risk management of docetaxel in clinical practice, providing healthcare professionals with the necessary information to optimize treatment regimens and ensure the safe use of docetaxel.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-09-12
DOI
https://doi.org/10.1371/journal.pone.0331979
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

Assessing the real-world safety of docetaxel for non-small cell lung cancer: Insights from a comprehensive analysis of FAERS data

Hui Zhao, Peiyun Lv, Bao Wang, Zhe Wang et al.
PLoS ONE
Lung Cancer Treatments and Mutations
article

Assessing the real-world safety of docetaxel for non-small cell lung cancer: Insights from a comprehensive analysis of FAERS data

Hui Zhao, Peiyun Lv, Bao Wang, Zhe Wang, Lei Wang, Kunpeng Yang, Chunhui Cai
article en

Abstract

These findings offer critical evidence for the individualized monitoring and risk management of docetaxel in clinical practice, providing healthcare professionals with the necessary information to optimize treatment regimens and ensure the safe use of docetaxel.

PLoS ONEVol. 20(9)
Jilin Province Tumor Hospital (CN), Changchun University of Chinese Medicine (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 64%
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.