Evidence map›Paper›PMID 41105406›Full record

ArticleJAMA network open2025

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

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

  1. Interleukin-1α (IL-1α) in pancreatic ductal adenocarcinoma: implications for immunotherapy and molecular biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
  3. 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

10 authors.

Irena StefanovaDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Nathan ThompsonManagement Science, University of Strathclyde, Glasgow, Scotland, United Kingdom.
Lucy OldfieldDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Martyn StottDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Robert HansonLiverpool Clinical Trials Centre, University of Liverpool, Liverpool, United Kingdom.
Daniel PalmerDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Christopher HalloranDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
William GreenhalfDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.
Robert Van Der MeerManagement Science, University of Strathclyde, Glasgow, Scotland, United Kingdom.
Eithne CostelloDepartment of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Carcinoma, Pancreatic DuctalCost-Benefit AnalysisDiabetes MellitusEarly Detection of CancerPancreatic NeoplasmsAgedBiomarkers, TumorFemaleHumansMaleMarkov ChainsMass ScreeningMiddle AgedQuality-Adjusted Life YearsUnited KingdomBiomarkers, Tumor

Identifiers

PMID41105406
PMCPMC12534857

What Socratic holds

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LicenceCC BY
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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 Socratic graph.