Evidence map›Paper›PMID 42433251›Full record

ReviewTranslational lung cancer research2026

Over- and underscreening for lung cancer.

Hang Cao, Yang Zhang, Fangqiu Fu, Haiquan Chen

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 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

4 authors.

Hang CaoDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Yang ZhangDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Fangqiu FuDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Haiquan ChenDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: While low-dose computed tomography (LDCT) has significantly reduced lung cancer mortality, its full potential remains constrained under current screening paradigms. This review evaluates clinical discrepancies in LDCT implementation and explores adaptive screening frameworks. Methods: We synthesized clinical screening outcomes and investigated tumor natural history to identify the drivers of observed misalignments, providing the rationale for optimized screening strategies. Key Content and Findings: Evidence highlights significant disparities between Western and Eastern cohorts, with East Asian initiatives identifying a much higher proportion of early-stage disease driven by ground-glass nodules (GGNs) in non-smokers. These discrepancies are rooted in the diverse evolutionary trajectories of lung cancer, ranging from indolent GGNs with protracted natural history to aggressive subtypes with narrow "curative time windows". The mismatch between conventional smoking-centric protocols and these biological realities leads to a screening paradox: overscreening, which involves excessive screening frequency beyond clinical necessity primarily among low-risk individuals (e.g., annually) but also occurring within high-risk groups, and the intensive follow-up of indolent or clinically insignificant lesions, coexists with underscreening, which encompasses the failure to reach high-risk populations, the lack of adequate coverage for traditionally low-risk individuals, and the oversight of aggressive early lesions. To provide a conceptual basis for potentially reconciling these misalignments, we explore the "curative time window" theory and a hypothesis-generating "low-age, low-frequency" strategy. This framework considers the rationale for earlier baseline screening to intercept aggressive, early-onset cases while potentially extending intervals for individuals with negative baseline results or indolent trajectories to optimize resource allocation. Conclusions: Current smoking-centric guidelines may lack the flexibility to accommodate the biological diversity and shifting epidemiology of lung cancer. A transition toward risk-adapted screening frameworks, such as the conceptual "low-age, low-frequency" strategy, is suggested as a potential approach to optimize curative outcomes and screening efficiency, though prospective validation remains warranted.

Indexed as

early detectionLow-dose computed tomography (LDCT)lung cancerover & underscreening

Identifiers

PMID42433251
PMCPMC13351937

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.