Trends in the incidence of lung cancer in never smokers in Eastern China: a retrospective population-based cohort study using regional electronic health records

There is a substantial increase in LCNS incidence, especially among women and young populations. However, the reason for these observed trends remains unclear and warrants investigation.

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2025-09-01
DOI
https://doi.org/10.1136/bmjopen-2025-104941
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends in the incidence of lung cancer in never smokers in Eastern China: a retrospective population-based cohort study using regional electronic health records

Xiao Ge, Na He, Xing Liu, Haiquan Chen et al.
BMJ Open
Global Cancer Incidence and Screening
article

Trends in the incidence of lung cancer in never smokers in Eastern China: a retrospective population-based cohort study using regional electronic health records

Xiao Ge, Na He, Xing Liu, Haiquan Chen, Wanghong Xu, Peng Shen, Hongbo Lin, Yexiang Sun
article en

Abstract

There is a substantial increase in LCNS incidence, especially among women and young populations. However, the reason for these observed trends remains unclear and warrants investigation.

BMJ OpenVol. 15(9)
Fudan University (CN), Ningbo Center for Disease Control and Prevention (CN), Fudan University Shanghai Cancer Center (CN)
Fudan University
Openalex Percentile: Top 66%
Global Cancer Incidence and Screening
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.