Evidence map›Paper›PMID 41760865›Full record

ReviewPharmacoEconomics2026

Ten Recommendations for Modelling Cost Effectiveness of Screening: Perspectives of an International Stakeholder Group.

Olena Mandrik, Chloe Thomas, Alice Bessey, Alan Brennan, Andre L Carvalho, Ivan Castilla-Rodríguez, Olena Doroshenko, Harry Hill, Natalia Kunst, Balazs Nagy and 8 more

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Olena MandrikSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK. o.mandrik@sheffield.ac.uk.ORCID http://orcid.org/0000-0003-3755-3031
Chloe ThomasSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Alice BesseySheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Alan BrennanSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Andre L CarvalhoInternational Agency for Research on Cancer, Lyon, France.
Ivan Castilla-RodríguezUniversity of La Laguna, San Cristóbal de La Laguna, Canary Islands, Spain.
Olena DoroshenkoThe World Bank Group, Sarajevo, Bosnia and Herzegovina.
Harry HillSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Natalia KunstCentre for Health Economics, University of York, York, UK.
Balazs NagySyreon Research Institute, Budapest, Hungary.
Katherine PayneDivision of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, UK.
Dan PollardSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Scott D RamseyPublic Health Sciences Division, Hutchinson Institute for Cancer Outcomes Research (HICOR), Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Felipe RoitbergHospital Sirio Libanes, São Paulo, Brazil.
Bethany ShinkinsWarwick Screening, University of Warwick, Coventry, UK.
Robert A SmithAmerican Cancer Society, Atlanta, Georgia, USA.
Howard ThomUniversity of Bristol, Bristol, UK.
Sophie WhyteSheffield Centre for Health and Related Research (SCHARR), School of Medicine and Population Health, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.

Funding

University of Sheffield 189350
6 · The paper itself

Abstract

Modelling the cost effectiveness of screening interventions presents unique challenges. These relate to a lack of knowledge about underlying health states and disease progression in the absence of screening, added costs arising from incidental findings, screening recall and follow-up diagnostics, imperfect uptake, potential harms to otherwise healthy people, and impacts on resource capacity and equity. No specific but generalisable advice currently exists to help guide health economic modellers working in this area. There is a need for tailored recommendations beyond the widely used, health economic modelling frameworks. We aimed to develop a set of recommendations for modelling the cost effectiveness of screening programmes. In our iterative process, we first drafted a conceptual document outlining key issues requiring recommendations. This framework was then expanded based on additional themes identified through a survey of screening modelling experts. Next, the draft recommendations were shared with a broader international expert group, which included modellers, health economists and policy specialists. Finally, the core concepts were refined and agreed upon during a virtual stakeholder meeting. A set of ten recommendations and a checklist are presented. The document provides guidance on critical methodological requirements for modelling screening interventions. These guidelines are intended to help health economic modellers and screening policy makers working to evaluate screening interventions across a wide range of diseases and jurisdictions with clarity, rigour and consistency.

Indexed as

Mass ScreeningModels, EconomicCost-Benefit AnalysisCost-Effectiveness AnalysisHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.