Evidence map›Paper›PMID 40369122›Full record

ArticleBritish journal of cancer2025

Cost-effectiveness of one-off upper abdominal CT screening as an add-on to lung cancer screening in England.

Chloe Thomas, Laura Heathcote, Yuxiao Sun, Matthew E J Callister, Jessica Kitt, Sabrina H Rossi, Bethany Shinkins, Juliet A Usher-Smith, Sophie Whyte, Grant D Stewart and 1 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05005195 (Yorkshire Kidney Screening Trial), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05005195 naunknown statusnot on this map

Yorkshire Kidney Screening Trial (YKST): a Feasibility Study of Adding Non-contrast Abdominal CT Scan to Chest CT Scan Undertaken in the YLST Randomised Controlled Trial of Community-based CT Screening for Lung Cancer in an at Risk Population to Screen for RCC and Other Abdominal Malignancies

TypeinterventionalSponsorUniversity of LeedsRan2021 to 2023Enrolled5,850ConditionsRenal Cell CarcinomaArmsLow dose abdominal computed tomography scan
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Modeling the Impact of Multicancer Early Detection Tests: A Review of Natural History of Disease Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    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.

Chloe ThomasSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK. c.thomas@sheffield.ac.uk.ORCID http://orcid.org/0000-0001-8704-3262
Laura HeathcoteSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.
Yuxiao SunSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0009-0007-9862-0038
Matthew E J CallisterLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-8157-0803
Jessica KittDepartment of Surgery, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.
Sabrina H RossiDepartment of Surgery, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.
Bethany ShinkinsLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-5350-1018
Juliet A Usher-SmithCRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge, UK.ORCID http://orcid.org/0000-0002-8501-2531
Sophie WhyteSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-7963-2523
Grant D StewartDepartment of Surgery, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3188-9140
YKST Study Group

Funding

Yorkshire Cancer Research L403C
6 · The paper itself

Abstract

backgroundLow-dose computed tomography (CT) screening for lung cancer is available for high-risk individuals in England. Screening simultaneously for upper abdominal conditions, including cancer, is feasible. Here, we estimate the cost-effectiveness of one-off upper abdominal CT screening, added onto lung cancer screening, based on the Yorkshire Kidney Screening Trial (YKST) feasibility study.

methodsA multi-disease health economic model was developed. Ten cancers and abdominal aortic aneurysm (AAA) were modelled over a lifetime horizon. YKST data informed disease prevalence, resource use and screening costs. Costs, quality-adjusted life-years (QALYs) and cost-effectiveness were estimated probabilistically.

resultsScreening per person costs £70.89, produces 0.0059 QALYs, and has 96% probability of being cost-effective, with an incremental cost-effectiveness ratio of £12,085. AAA contributes most to cost-effectiveness, followed by kidney cancer, but some cancer findings reduce cost-effectiveness. Screening is more cost-effective at younger ages. Screen-detectable disease prevalence, severity and mortality risk contribute most to uncertainty.

conclusionsOne-off upper abdominal CT screening is potentially cost-effective, but costs, harms and benefits vary between conditions. Cost-effectiveness is driven by early diagnosis of AAA, then kidney cancer, illustrating the importance of considering all relevant diseases in screening models. A larger trial would provide more robust data to refine the cost-effectiveness argument. CLINICAL

trial registrationClinicalTrials.gov: NCT05005195.

Indexed as

Aortic Aneurysm, AbdominalEarly Detection of CancerLung NeoplasmsTomography, X-Ray ComputedAgedCost-Benefit AnalysisEnglandFeasibility StudiesFemaleHumansMaleMass ScreeningMiddle AgedQuality-Adjusted Life YearsRandomized Controlled Trials as Topic

Identifiers

PMID40369122
PMCPMC12304199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.