Evidence map›Paper›PMID 38240131›Full record

ReviewSingapore medical journal2026

Lung cancer screening for never smokers: current evidence and future directions.

Kay Choong See

Open access · diamondAbstract readReview
In one paragraph

Review in Singapore medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

1 author at 1 institution in 1 country.

Kay Choong SeeDivision of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore.
National University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractScreening for lung cancer using low-dose computed tomography is an established means for early lung cancer detection in smokers, but the role of screening for never smokers is unclear. In the 13 lung cancer screening studies involving unselected never smokers, detection rates ranged from 0.1% to 1.1% and positive predictive values ranged from 0.4% to 4.5%. In three lung cancer screening studies involving selected never smokers, selection was based primarily on occupational asbestos exposure, environmental radon exposure and family history of lung cancer in first-degree relatives. Detection rates ranged from 0.3% to 2.6%, and positive predictive values ranged from 0.7% to 15%. Also, 80%-100% of lung cancer cases discovered by screening were early stage, with limited data suggesting survival benefit. Lung cancer screening for never smokers with selected risk factors may achieve detection rates similar to those of screening for high-risk ever smokers. However, further research on optimal subject selection, alternative screening methods and clinical/economic outcomes is needed.

Indexed as

Early Detection of CancerLung NeoplasmsMass ScreeningNon-SmokersHumansOccupational ExposureRadonRisk FactorsSmokersSmokingTomography, X-Ray ComputedRadonCarcinomanon-small-cell lungnon-smokerssmall-cell lung carcinomasmokingtomographyX-ray computed

Identifiers

PMID38240131
PMCPMC12908900
OpenAlexW4391035835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.