Evidence map›Paper›PMID 36201131›Full record

Trial reportPharmacoEconomics2022

Cost-Effectiveness Analysis of Prostate Cancer Screening in the UK: A Decision Model Analysis Based on the CAP Trial.

Edna Keeney, Sabina Sanghera, Richard M Martin, Roman Gulati, Fredrik Wiklund, Eleanor I Walsh, Jenny L Donovan, Freddie Hamdy, David E Neal, J Athene Lane and 3 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  7. Article
  8. Article
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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

13 authors at 5 institutions in 3 countries.

Edna KeeneyDepartment of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK. edna.keeney@bristol.ac.uk.ORCID 0000-0002-4763-8891
Sabina Sanghera *Department of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Richard M Martin *Department of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Roman GulatiDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Fredrik WiklundDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Eleanor I WalshDepartment of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Jenny L DonovanDepartment of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Freddie HamdyNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
David E NealNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
J Athene LaneDepartment of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Emma L Turner *Department of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Howard Thom *Department of Population Health Sciences, Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
Mark S ClementsDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
University of Bristol · GBKarolinska Institutet · SEUniversity of Oxford · GBFred Hutch Cancer Center · USUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
Cancer Research UK 15064Cancer Research UK 24432Cancer Research UK C11043/A4286Cancer Research UK C18281/A11326Cancer Research UK C18281/A15064Cancer Research UK C18281/A24432Cancer Research UK C18281/A29019Cancer Research UK C18281/A8145Department of HealthMedical Research Council MR/K025643/1Medical Research Council MR/S036709/1NCI NIH HHS R50 CA221836NCI NIH HHS U01 CA253915
6 · The paper itself

Abstract

BACKGROUND AND

objectiveMost guidelines in the UK, Europe and North America do not recommend organised population-wide screening for prostate cancer. Prostate-specific antigen-based screening can reduce prostate cancer-specific mortality, but there are concerns about overdiagnosis, overtreatment and economic value. The aim was therefore to assess the cost effectiveness of eight potential screening strategies in the UK.

methodsWe used a cost-utility analysis with an individual-based simulation model. The model was calibrated to data from the 10-year follow-up of the Cluster Randomised Trial of PSA Testing for Prostate Cancer (CAP). Treatment effects were modelled using data from the Prostate Testing for Cancer and Treatment (ProtecT) trial. The participants were a hypothetical population of 10 million men in the UK followed from age 30 years to death. The strategies were: no screening; five age-based screening strategies; adaptive screening, where men with an initial prostate-specific antigen level of < 1.5 ng/mL are screened every 6 years and those above this level are screened every 4 years; and two polygenic risk-stratified screening strategies. We assumed the use of pre-biopsy multi-parametric magnetic resonance imaging for men with prostate-specific antigen ≥ 3 ng/mL and combined transrectal ultrasound-guided and targeted biopsies. The main outcome measures were projected lifetime costs and quality-adjusted life-years from a National Health Service perspective.

resultsAll screening strategies increased costs compared with no screening, with the majority also increasing quality-adjusted life-years. At willingness-to-pay thresholds of £20,000 or £30,000 per quality-adjusted life-year gained, a once-off screening at age 50 years was optimal, although this was sensitive to the utility estimates used. Although the polygenic risk-stratified screening strategies were not on the cost-effectiveness frontier, there was evidence to suggest that they were less cost ineffective than the alternative age-based strategies.

conclusionsOf the prostate-specific antigen-based strategies compared, only a once-off screening at age 50 years was potentially cost effective at current UK willingness-to-pay thresholds. An additional follow-up of CAP to 15 years may reduce uncertainty about the cost effectiveness of the screening strategies.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsAdultCost-Benefit AnalysisEarly Detection of CancerHumansMaleMass ScreeningMiddle AgedQuality-Adjusted Life YearsState MedicineUnited KingdomProstate-Specific Antigen

Identifiers

PMID36201131
PMCPMC9674711
OpenAlexW4302283317

What OpenQuestion holds

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LicenceCC BY-NC
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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.