The EU-TOPIA evaluation tool: An online modelling-based tool for informing breast, cervical, and colorectal cancer screening decisions in Europe.

Cancer screening Colorectal cancer Miscrosimulation models Online screening evaluation tool

Journal

Preventive medicine reports
ISSN: 2211-3355
Titre abrégé: Prev Med Rep
Pays: United States
ID NLM: 101643766

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 15 09 2020
revised: 31 03 2021
accepted: 08 04 2021
entrez: 24 5 2021
pubmed: 25 5 2021
medline: 25 5 2021
Statut: epublish

Résumé

Aiming to support European countries in improving their breast, cervical, and colorectal cancer (CRC) screening programmes, the EU-TOPIA consortium has developed an online user-friendly tool (the EU-TOPIA evaluation tool; https://miscan.eu-topia.org) based on the Microsimulation Screening Analysis (MISCAN) model. We designed an online platform that allows stakeholders to use their country-specific data (demographic, epidemiological, and cancer screening information) to quantify future harms and benefits of different cancer screening scenarios in their country. Current cancer screening programmes and impacts of potential changes in screening protocols (such as extending target ages or increasing screening attendance) can be simulated. Results are scaled to the country-specific population. To illustrate the tool, we used the tool to simulate two different CRC screening scenarios in the Netherlands: biennial fecal immunochemical testing (FIT) in ages 55-75 and colonoscopy every ten years in ages 55-75. Data from the Dutch screening programme was used to inform both scenarios. A total of 482,700 CRC cases and 178,000 CRC deaths were estimated in the Netherlands with FIT screening (for individuals aged 40-100 years, 2018-2050), with 47.3 million FITs performed (1.92 million positives of which 1.64 million adhered to diagnostic colonoscopy). With colonoscopy screening, CRC incidence and mortality were, respectively, up to 17% and 14% lower than in the current FIT screening programme, requiring, however, a colonoscopy demand that was 7-fold higher. Our study presents an essential online tool for stakeholders and medical societies to quantify estimates of benefits and harms of early cancer detection in Europe.

Sections du résumé

BACKGROUND BACKGROUND
Aiming to support European countries in improving their breast, cervical, and colorectal cancer (CRC) screening programmes, the EU-TOPIA consortium has developed an online user-friendly tool (the EU-TOPIA evaluation tool; https://miscan.eu-topia.org) based on the Microsimulation Screening Analysis (MISCAN) model.
METHODS METHODS
We designed an online platform that allows stakeholders to use their country-specific data (demographic, epidemiological, and cancer screening information) to quantify future harms and benefits of different cancer screening scenarios in their country. Current cancer screening programmes and impacts of potential changes in screening protocols (such as extending target ages or increasing screening attendance) can be simulated. Results are scaled to the country-specific population. To illustrate the tool, we used the tool to simulate two different CRC screening scenarios in the Netherlands: biennial fecal immunochemical testing (FIT) in ages 55-75 and colonoscopy every ten years in ages 55-75. Data from the Dutch screening programme was used to inform both scenarios.
RESULTS RESULTS
A total of 482,700 CRC cases and 178,000 CRC deaths were estimated in the Netherlands with FIT screening (for individuals aged 40-100 years, 2018-2050), with 47.3 million FITs performed (1.92 million positives of which 1.64 million adhered to diagnostic colonoscopy). With colonoscopy screening, CRC incidence and mortality were, respectively, up to 17% and 14% lower than in the current FIT screening programme, requiring, however, a colonoscopy demand that was 7-fold higher.
CONCLUSIONS CONCLUSIONS
Our study presents an essential online tool for stakeholders and medical societies to quantify estimates of benefits and harms of early cancer detection in Europe.

Identifiants

pubmed: 34026466
doi: 10.1016/j.pmedr.2021.101392
pii: S2211-3355(21)00082-6
pmc: PMC8122113
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101392

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Andrea Gini (A)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Nicolien T van Ravesteyn (NT)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Erik E L Jansen (EEL)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Eveline A M Heijnsdijk (EAM)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Carlo Senore (C)

SC Epidemiology, Screening, Cancer Registry, Città della Salute e della Scienza University Hospital, CPO, Turin, Italy.

Ahti Anttila (A)

Finnish Cancer Registry, Helsinki, Finland.

Dominika Novak Mlakar (D)

National Institute for Public Health, Ljubljana, Slovenia.

Piret Veerus (P)

National Institute for Health Development, Tallinn, Estonia.

Marcell Csanádi (M)

Syreon Research Institute, Budapest, Hungary.

Nadine Zielonke (N)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Sirpa Heinävaara (S)

Finnish Cancer Registry, Helsinki, Finland.

György Széles (G)

Syreon Research Institute, Budapest, Hungary.

Nereo Segnan (N)

SC Epidemiology, Screening, Cancer Registry, Città della Salute e della Scienza University Hospital, CPO, Turin, Italy.

Harry J de Koning (HJ)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Iris Lansdorp-Vogelaar (I)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Classifications MeSH