Evidence map›Paper›PMID 40162255›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Risk factors for lung cancer in never-smokers: Multi-cohort study.

G David Batty, Frederick K Ho, Steven Bell

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

3 authors.

G David BattyDepartment of Epidemiology and Public Health, University College London, UK.ORCID 0000-0003-1822-5753
Frederick K HoSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0001-7190-9025
Steven BellPrecision Breast Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.ORCID 0000-0001-6774-3149

Funding

Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R01AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2017 to 2021
$1.9M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R56AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2016 to 2016
$500k
NIA NIH HHS R01 AG052519NIA NIH HHS R56 AG052519
6 · The paper itself

Abstract

Background: If lung cancer in never-smokers was a single disease entity, it would be the sixth most commonly occurring malignancy. Despite the population impact, its risk factors are poorly understood owing to a dearth of larger-scale, well-characterised studies. Methods: We pooled individual-participant data from 18 prospective cohort studies comprising 91,588 never smokers (55,452 women) aged 16-102 years at study induction. Participants were linked to national death registries. Results: A maximum of 17 years follow-up (mean 9.7) gave rise to 85 lung cancer deaths. Of the 19 potential determinants captured at baseline, only being older age (hazard ratio; 95% confidence interval per 10 year increase: 2.45; 2.11, 2.85), male (2.25; 1.46, 3.48), and having a high fruit and vegetable intake (2.29; 1.25, 4.17) were associated with elevated rates of lung cancer in this never-smoking group. No other substantial relationships were detected. Conclusions: Despite the number and breadth of potential risk factors featured in this multi-cohort study, there was no clear suggestion of new determinants of lung cancer in never-smokers. Impact: Our findings point to the need to explore the influence of risk factors additional to those included herein, particular in the field of genetics. Our unlikely finding for fruit and vegetable consumption warrants further testing.

Identifiers

PMID40162255
PMCPMC11952607

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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.