Evidence map›Paper›PMID 34973103›Full record

ArticleEuropean radiology2022

Can we increase efficiency of CT lung cancer screening by combining with CVD and COPD screening? Results of an early economic evaluation.

Carina M Behr, Hendrik Koffijberg, Koen Degeling, Rozemarijn Vliegenthart, Maarten J IJzerman

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
2.7field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  4. Headroom Analysis for Early Economic Evaluation: A Systematic Review.Applied health economics and health policy · 2023
    Pooled it
  5. Review
  6. Lung cancer screening in Lithuania: a cost-effectiveness analysis.Journal of comparative effectiveness research · 2026
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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

5 authors at 3 institutions in 2 countries.

Carina M BehrHealth Technology and Services Research, Faculty of Behavioural and Management Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands.ORCID http://orcid.org/0000-0001-6094-807X
Hendrik KoffijbergHealth Technology and Services Research, Faculty of Behavioural and Management Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands.ORCID http://orcid.org/0000-0002-1753-0652
Koen DegelingCancer Health Services Research, University of Melbourne Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.ORCID http://orcid.org/0000-0001-7487-2491
Rozemarijn VliegenthartDept of Radiology, University of Groningen, University Medical Centre Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-7262-3376
Maarten J IJzermanHealth Technology and Services Research, Faculty of Behavioural and Management Science, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands. maarten.ijzerman@unimelb.edu.au.ORCID http://orcid.org/0000-0001-5788-5805
The University of Melbourne · AUUniversity of Twente · NLUniversity Medical Center Groningen · NL

Funding

ZonMw (10-10400-98-008)
6 · The paper itself

Abstract

objectivesEstimating the maximum acceptable cost (MAC) per screened individual for low-dose computed tomography (LDCT) lung cancer (LC) screening, and determining the effect of additionally screening for chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), or both on the MAC.

methodsA model-based early health technology assessment (HTA) was conducted to estimate whether a new intervention could be cost-effective by calculating the MAC at a willingness-to-pay (WTP) of €20k/quality-adjusted life-year (QALY) and €80k/QALY, for a population of current and former smokers, aged 50-75 years in The Netherlands. The MAC was estimated based on incremental QALYs gained from a stage shift assuming screened individuals are detected in earlier disease stages. Data were obtained from literature and publicly available statistics and validated with experts.

resultsThe MAC per individual for implementing LC screening at a WTP of €20k/QALY was €113. If COPD, CVD, or both were included in screening, the MAC increased to €230, €895, or €971 respectively. Scenario analyses assessed whether screening-specific disease high-risk populations would improve cost-effectiveness, showing that high-risk CVD populations were more likely to improve economic viability compared to COPD.

conclusionsThe economic viability of combined screening is substantially larger than for LC screening alone, primarily due to benefits from CVD screening, and is dependent on the target screening population, which is key to optimise the screening program. The total cost of breast and cervical cancer screening is lower (€420) than the MAC of Big-3, indicating that Big-3 screening may be acceptable from a health economic perspective. KEY POINTS: • Once-off combined low-dose CT screening for lung cancer, COPD, and CVD in individuals aged 50-75 years is potentially cost-effective if screening would cost less than €971 per screened individual. • Multi-disease screening requires detailed insight into the co-occurrence of these diseases to identify the optimal target screening population. • With the same target screening population and WTP, lung cancer-only screening should cost less than €113 per screened individual to be cost-effective.

Indexed as

Cardiovascular DiseasesLung NeoplasmsPulmonary Disease, Chronic ObstructiveUterine Cervical NeoplasmsCost-Benefit AnalysisEarly Detection of CancerFemaleHumansQuality-Adjusted Life YearsTomography, X-Ray ComputedCardiovascular diseasesCost–benefit analysisLung neoplasmsMass screeningPulmonary disease, chronic obstructive

Identifiers

PMID34973103
PMCPMC9038824
OpenAlexW4205105965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.