Evidence map›Paper›PMID 42267273›Full record

ReviewFrontiers in public health2026

Lung cancer in never-smoking females: epidemiology, risk factors and screening.

Yumeng Ding, Huanqing Tao, Chen Zhu, Huizhang Li, Yanting Zhang, Yihui Du, Lingbin Du, Weiwei Gong, Le Wang

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yumeng DingDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.
Huanqing TaoDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.
Chen ZhuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.
Huizhang LiDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.
Yanting ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, China.
Yihui DuDepartment of Epidemiology and Health Statistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, China.
Lingbin DuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.
Weiwei GongZhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China.
Le WangDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although smoking is a well-established risk factor, lung cancer in never-smokers exhibits distinct epidemiological and biological characteristics. Globally, approximately two-thirds of lung cancer cases in never-smokers occur in females, with a higher prevalence observed in Asian populations. Understanding these epidemiological patterns and specific risk factors holds significant implications for informing effective prevention and control strategies. In addition, low-dose CT screening for never-smoking females remains controversial due to insufficient evidence to support its benefits and unresolved concerns about overdiagnosis. This review provides a comprehensive overview of lung cancer among never-smoking females, synthesizing current evidence on its epidemiology, risk factors, and screening practices, thereby elucidating the multifaceted nature of lung cancer in this population and highlighting its implications for prevention, risk stratification, and future research priorities.

Indexed as

Early Detection of CancerLung NeoplasmsNon-SmokersFemaleHumansMass ScreeningPrevalenceRisk Factorsepidemiologylung cancernever-smokerrisk factorsscreening

Identifiers

PMID42267273
PMCPMC13243031

What OpenQuestion holds

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Registered trials

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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.