Evidence map›Paper›PMID 39516402›Full record

ReviewBJC reports2023

Lung cancer in never smokers (LCINS): development of a UK national research strategy.

Sam Khan, Nathaniel Hatton, Daniel Tough, Robert C Rintoul, Coral Pepper, Lynn Calman, Fiona McDonald, Clare Harris, Amelia Randle, Michelle C Turner and 5 more

Abstract readReview
In one paragraph

Review in BJC reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026
    Article
  6. Editorial: Increasing Awareness of Lung Cancer in Non-Smokers and Never-Smokers Challenges Current Approaches to Prevention and Screening.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  12. Associations between Longer Leukocyte Telomere Length and Increased Lung Cancer Risk among Never Smokers in Urban China.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
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

15 authors.

Sam Khan *Leicester Cancer Research Centre, University of Leicester, Leicester, UK.
Nathaniel Hatton *Division of Oncology, Leeds Teaching Hospital Trust, Leeds, UK.
Daniel Tough *Department of Education, Health and Lifelong Learning, Bishop Grosseteste University, Lincoln, UK.
Robert C RintoulDepartment of Oncology, Royal Papworth Hospital, University of Cambridge, Cambridge, UK.
Coral PepperLibrary and Information Services, University Hospitals of Leicester NHS Trust, Leicester, UK.
Lynn CalmanCentre for Psychosocial Research in Cancer, School of Health Sciences, University of Southampton, Southampton, UK.
Fiona McDonaldDepartment of Oncology, Royal Marsden's Hospital, London, UK.
Clare HarrisDepartment of Medicine, University of Cambridge, Cambridge, UK.
Amelia RandleSomerset, Wiltshire, Avon and Gloucestershire Cancer alliance, Cambridge, UK.
Michelle C TurnerBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Ruth A HaleyFormerly National Cancer Research Institute (NCRI), Madrid, Spain.
Janette RawlinsonPatient representative, Sandwell, UK.
Philip A J CrosbieDivision of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK.
Frank McCaughanHeart and Lung Research Institute, Department of Medicine, University of Cambridge, Cambridge, UK.
Matthew HattonWeston Park Hospital, Sheffield Teaching Hospital Trust, Sheffield, UK. matthewhatton@nhs.net.ORCID http://orcid.org/0000-0003-2778-7926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer in never smokers (LCINS) accounts for 15% of lung cancers diagnosed in the UK, making it the 8th most common cancer. There are few robust studies specific to the LCINS population making data surrounding the incidence and mortality of LCINS incomplete, leaving many gaps in our understanding of the needs of this population.

methodsTo address a lack of research in this important area, the UK National Cancer Research Institute Lung Study Group (NCRI-LSG) undertook a national survey and hosted a research strategy day to define key research priorities. A wide cross section of stakeholders, including patient advocates, the charitable sector, basic and translational researchers, and multi-disciplinary healthcare professionals contributed highlighting their research priorities.

resultsOne-hundred twenty-seven surveys were completed (52 by patients/patient advocates) prior to the strategy day. These identified themes for expert review presentations and subsequent workshop discussions at the national research strategy day, which registered 190 attendees (50 patients/patient advocates). The four key themes that emerged to form the basis of a research strategy for LCINS are (1) Raising awareness, (2) Risk assessment and early detection, (3) Disease biology, (4) Living with and beyond.

conclusionThis paper summarises current evidence and important gaps in our knowledge related to LCINS. We present recommendations for a national research strategy aimed at improving outcomes for patients.

Identifiers

PMID39516402
PMCPMC11524067

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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.