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Cost-effectiveness of biomarker-associated early pancreatic cancer detection in new-onset diabetes

  • Irena Stefanova
  • , Nathan Thompson
  • , Lucy Oldfield
  • , Martyn Stott
  • , Robert Hanson
  • , Daniel Palmer
  • , Christopher Halloran
  • , William Greenhalf
  • , Robert Van Der Meer
  • , Eithne Costello*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Importance: Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed late, resulting in a dismal survival. Only 1 in 5 patients is eligible for potentially curative surgery. Although earlier detection of PDAC could significantly improve prognosis, population-wide screening is not currently feasible. Individuals at high risk, such as those with new-onset diabetes, among whom approximately 10% have type 3c diabetes (T3cD) and 1% have undiagnosed PDAC, could represent a target population for PDAC screening.

Objective: To compare the cost-effectiveness of 3 PDAC screening strategies in new-onset diabetes with the standard of care.

Design, Setting, and Participants: For this economic evaluation, a Markov state-transition decision model was developed to assess the downstaging benefits associated with screening policies over a 5-year period. The model allowed for diagnosis of resectable, borderline resectable, locally advanced, or metastatic disease. Model parameters were subject to 1-way and multiway sensitivity analyses. Mean treatment costs were extracted from the UK National Healthcare Service cost-collection data (2021-2022), and the screening strategies were applied to a simulated cohort of individuals aged 50 years or older with new-onset diabetes in the UK. Analyses were performed from August 2024 to January 2025.

Exposures: Pancreatic ductal adenocarcinoma screening strategies included the use of a T3cD biomarker, a cancer-specific biomarker, or a combination of a T3cD biomarker followed by a cancer-specific test in the population with new-onset diabetes. Biomarker cohorts were compared with the standard-of-care cohort undergoing diagnostic investigations on the development of clinical symptoms.

Main Outcomes and Measures: Per-person incremental cost-effectiveness ratios (ICERs) and net benefits were calculated, allowing for a willingness-to-pay threshold per quality-adjusted life-year (QALY) of £30 000 (US $40 156), as accepted by the UK’s National Institute for Health and Care Excellence.

Results: Among individuals aged 50 years or older with new-onset diabetes, neither the cancer-specific nor T3cD biomarker strategy was cost-effective compared with the standard of care, with an ICER per QALY of £71 906 (US $96 249) for the cancer-specific biomarker test and an ICER per QALY of £46 371 (US $62 070) for the T3cD biomarker strategy. Sequential use of a T3cD biomarker and a cancer-specific biomarker approached cost-effectiveness (ICER per QALY, £34 223 [US $45 809]), with 2.4 scans performed to detect 1 PDAC case among 200 000 people with new-onset diabetes. Sensitivity analyses highlighted biomarker specificity as a critical determinant of cost-effectiveness.

Conclusions and Relevance: In this economic evaluation of early PDAC detection among individuals with new-onset diabetes, the application of a primary T3cD biomarker followed by a secondary PDAC-specific test was more cost-effective than the sole use of either biomarker, although no strategy was cost-effective compared with standard of care. These findings can be used to inform biomarker-associated early detection strategies for PDAC.
Original languageEnglish
Article numbere2538031
Number of pages14
JournalJAMA Network Open
Volume8
Issue number10
DOIs
Publication statusPublished - 17 Oct 2025

Funding

This study was supported by Cancer Research UK grant EC C7690/A26881.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • pancreatic cancer
  • new onset diabetes mellitus
  • biomarker detection
  • cost effectiveness
  • type 3c diabetes

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