Evidence map›Paper›PMID 41169701›Full record

ArticleJTO clinical and research reports2025

Incorporating High-Risk Individuals Beyond Smoking History Into Lung Cancer Screening in Hong Kong: A Cost-Effectiveness Study.

Herbert Ho-Fung Loong, Xuanqi Pan, Carlos K H Wong, Chao-Hua Chiu, Szu-Chun Yang, Matthew Shing Hin Chung, Molly Siu Ching Li, Lisa de Jong, Harry Groen, Maarten J Postma and 1 more

Abstract read
In one paragraph

Article in JTO clinical and research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Herbert Ho-Fung LoongDepartment of Clinical Oncology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Xuanqi PanInstitute for Diagnostic Accuracy, Groningen, The Netherlands.
Carlos K H WongDepartment of Clinical Oncology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Chao-Hua ChiuTaipei Cancer Center and Taipei Medical University Hospital, Taipei, Taiwan.
Szu-Chun YangDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Matthew Shing Hin ChungDepartment of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, People's Republic of China.
Molly Siu Ching LiDepartment of Clinical Oncology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Lisa de JongUnit of Global Health, Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands.
Harry GroenFaculty of Medical Sciences, University of Groningen, Groningen, The Netherlands.
Maarten J PostmaUnit of Global Health, Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands.
Pan-Chyr YangDepartment of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lung cancer (LC) accounts for 26.4% of all cancer deaths in Hong Kong (HK). Lung cancer screening (LCS) with low-dose computed tomography (LDCT) can reduce LC mortality. The cost-effectiveness of LDCT screening in high-risk individuals on the basis of smoking history has previously been investigated. However, nearly half of patients with LC in HK never smoke, indicating a different LC epidemiology compared with Western countries, where most LC cases are associated with smoking. We conducted a cost-effectiveness analysis for LCS, utilizing local data and expanding the target population to include we not only high-risk individuals identified on the basis of smoking history but also those identified through other risk factors. Methods: A decision tree combined with a state-transition Markov model was developed to simulate identification, diagnosis, and treatments for high-risk individuals, from a health care provider perspective. The selection criteria and screening effectiveness for high-risk individuals on the basis of smoking history were obtained from the Dutch-Belgian Lung Cancer Screening Study, targeting heavy smokers aged 50 to 74 years; whereas the Taiwan Lung Cancer Screening in Never-Smoker Trial was used to model high-risk individuals on the basis of factors other than smoking history. Local LC survival and cost data were used to populate the model. The willingness-to-pay threshold used in the study was US$24,302 to US$40,202 per quality-adjusted life-year (QALY). Results: Screening led to additional early LC detected, and LC mortality reduction, compared with no screening. Over a lifetime horizon, the incremental cost-effectiveness ratio for high-risk individuals on the basis of smoking history was US$14,122 per QALY. The incremental cost-effectiveness ratio for high-risk individuals on the basis of factors other than smoking history was lower at US$9610 per QALY. Conclusion: LCS with LDCT can be considered cost-effective in HK for high-risk individuals on the basis of smoking history and factors other than smoking history, contributing to the health benefits of the population. Our findings support a population-based LCS for all high-risk individuals identified through criteria beyond smoking history.

Indexed as

High-risk individualsLDCTLung cancerLung cancer screeningSmoking history

Identifiers

PMID41169701
PMCPMC12570320

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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.