Evidence map›Paper›PMID 40633063›Full record

ArticleEuropean journal of public health2025

Creating a data processing warehouse to support performance monitoring of cancer screening programmes in Europe using a common set of indicators.

Eric Lucas, Nadya Dimitrova, Mariano Tomatis, Brian Sheridan, Marc Arbyn, Evelyne Heijnsdijk, Paola Armaroli, Patrick Martens, Veli-Matti Partanen, Arunah Chandran and 5 more

Abstract read
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Eric LucasEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Nadya DimitrovaEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Mariano TomatisEpidemiology and Screening Unit (CPO), University Hospital Città della Salute e della Scienza, Turin, Italy.
Brian SheridanDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Marc ArbynUnit of Cancer Epidemiology, Belgian Cancer Centre, Scientific Institute of Public Health, Brussels, Belgium.ORCID 0000-0001-7807-5908
Evelyne HeijnsdijkDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-4890-6069
Paola ArmaroliEpidemiology and Screening Unit (CPO), University Hospital Città della Salute e della Scienza, Turin, Italy.
Patrick MartensCvKO vzw, Centre for Cancer Detection, Bruges, Belgium.
Veli-Matti PartanenFinnish Cancer Registry, Helsinki, Finland.
Arunah ChandranEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Andre L CarvalhoEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Wendy YaredAssociation of European Cancer Leagues (ECL), Brussels, Belgium.
Arianna KhatchadourianAssociation of European Cancer Leagues (ECL), Brussels, Belgium.
Carlo SenoreEpidemiology and Screening Unit (CPO), University Hospital Città della Salute e della Scienza, Turin, Italy.
Partha BasuEarly Detection, Prevention & Infections Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0003-0124-4050

Funding

CanScreen-ECISEU4Health 101056947EU4Health Programme 101056947World Health Organization 001
6 · The paper itself

Abstract

The CanScreen-ECIS project implemented by International Agency for Research on Cancer aimed to define indicators to monitor, breast, cervical, colorectal, and lung cancer screening and create a validated mechanism for the European screening programmes to be able to systematically collect and submit performance data for public dissemination through European Cancer Information System (ECIS). Indicators were developed through a stepwise process of literature review, Delphi survey followed by face-to-face interaction. A survey questionnaire to report policies, protocols, and organization of screening programmes and a data collection tool to estimate indicators across the screening continuum were designed. These were integrated into a data warehouse to permit programme managers to access the tools, undergo training, submit data, and estimate the indicators. The same warehouse would allow peer-reviewing of submitted information and data and will ultimately be connected to ECIS for data visualization. Functionalities of the tools and the warehouse were pilot tested through data collection from several European countries. Total 23 indicators were selected based on priority and feasibility. Programme managers from 23 European countries completed the surveys and submitted data from national/regional screening programmes. Data to estimate the indicators were obtained from 17, 13, and 15 breast, cervical, and colorectal cancer screening programmes, respectively. Major challenges identified by the participants included collecting data from opportunistic screening and data disaggregated by socio-economic status and other indicators of inequalities. The data warehouse will facilitate systematic data collection to report the status and performance of cancer screening programmes in the EU.

Indexed as

Early Detection of CancerMass ScreeningQuality Indicators, Health CareBreast NeoplasmsColorectal NeoplasmsDelphi TechniqueEuropeFemaleHumansProgram EvaluationSurveys and QuestionnairesUterine Cervical Neoplasms

Identifiers

PMID40633063
PMCPMC12529281

What OpenQuestion holds

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LicenceCC BY-NC
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.