Evidence map›Paper›PMID 39193459›Full record

ReviewBreathe (Sheffield, England)2024

Lung cancer screening: where do we stand?

Georgia Hardavella, Armin Frille, Katherina Bernadette Sreter, Florence Atrafi, Uraujh Yousaf-Khan, Ferhat Beyaz, Fotis Kyriakou, Elena Bellou, Monica L Mullin, Sam M Janes

Abstract readReview
In one paragraph

Review in Breathe (Sheffield, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Article
  9. Article
  10. Engaging Culturally and Linguistically Diverse Communities to Prepare for Lung Cancer Screening Implementation in Australia: A Qualitative Focus Group Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  11. Article
  12. Review
  13. Review
  14. Article
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  16. Review
  17. Updates on lung cancer screening for early detection.The Korean journal of internal medicine · 2025
    Review
  18. Review
  19. Article
  20. 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

10 authors.

Georgia Hardavella4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
Armin FrilleDepartment of Respiratory Medicine, University of Leipzig, Leipzig, Germany.ORCID https://orcid.org/0000-0003-2843-3863
Katherina Bernadette SreterDepartment of Pulmonology, University Hospital Centre "Sestre Milosrdnice", Zagreb, Croatia.
Florence AtrafiAmphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands.
Uraujh Yousaf-KhanAmphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands.
Ferhat BeyazDepartment of Pulmonary Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
Fotis Kyriakou4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
Elena Bellou4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
Monica L MullinLungs for Living Research Centre, UCL Respiratory, University College London, London, UK.
Sam M JanesLungs for Living Research Centre, UCL Respiratory, University College London, London, UK.ORCID https://orcid.org/0000-0002-6634-5939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer screening (LCS) programmes have emerged over recent years around the world. LCS programmes present differences in delivery, inclusion criteria and resource allocation. On a national scale, only a few LCS programmes have been fully established, but more are anticipated to follow. Evidence has shown that, in combination with a low-dose chest computed tomography scan, smoking cessation should be offered as part of a LCS programme for improved patient outcomes. Promising tools in LCS include further refined risk prediction models, the use of biomarkers, artificial intelligence and radiomics. However, these tools require further study and clinical validation is required prior to routine implementation.

Identifiers

PMID39193459
PMCPMC11348916

What OpenQuestion holds

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LicenceCC BY-NC
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.