Evidence map›Paper›PMID 32831048›Full record

ArticleBMC cancer2020

Monitoring and evaluation of breast cancer screening programmes: selecting candidate performance indicators.

Sergei Muratov, Carlos Canelo-Aybar, Jean-Eric Tarride, Pablo Alonso-Coello, Nadya Dimitrova, Bettina Borisch, Xavier Castells, Stephen W Duffy, Patricia Fitzpatrick, Markus Follmann and 13 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
1.4field-weighted citation impact, top 16% of its field
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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

23 authors at 17 institutions in 11 countries.

Sergei MuratovDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Carlos Canelo-AybarIberoamerican Cochrane Center, Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau-CIBERESP), Barcelona, Spain.
Jean-Eric TarrideDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Pablo Alonso-CoelloIberoamerican Cochrane Center, Instituto de Investigación Biomédica Sant Pau (IIB Sant Pau-CIBERESP), Barcelona, Spain.
Nadya DimitrovaEuropean Commission, Joint Research Centre, Via E. Fermi 2749 - TP 127, I-21027, Ispra, VA, Italy. Nadya.Dimitrova@ec.europa.eu.
Bettina BorischInstitute of Global Health, University of Geneva, Geneva, Switzerland.
Xavier CastellsIMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Stephen W DuffyQueen Mary University of London, London, UK.
Patricia FitzpatrickNational Screening Service, Dublin, Ireland.
Markus FollmannGerman Cancer Society, Berlin, Germany.
Livia GiordanoCPO-Piedmont - AOU Città della Salute e della Scienza, Torino, Italy.
Solveig HofvindCancer Registry of Norway, Oslo, Norway.
Annette LebeauUniversity Medical Center Hamburg-Eppendorf and Private Group Practice for Pathology, Hamburg, Germany.
Cecily QuinnSt. Vincent's University Hospital, Dublin, Ireland.
Alberto TorresinASST Grande Ospedale Metropolitano, Milan, Italy.
Claudia VialliEuropean Commission, Joint Research Centre, Via E. Fermi 2749 - TP 127, I-21027, Ispra, VA, Italy.
Sabine SieslingNetherlands Comprehensive Cancer Organisation (IKNL), Utrecht, Netherlands.
Antonio PontiCPO-Piedmont - AOU Città della Salute e della Scienza, Torino, Italy.
Paolo Giorgi RossiAUSL Reggio Emilia, IRCCS, Reggio Emilia, Italy.
Holger SchünemannDepartment of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Lennarth NyströmDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Mireille BroedersRadboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands. Mireille.Broeders@radboudumc.nl.ORCID http://orcid.org/0000-0002-8741-8148
ECIBC contributor group
Impact · CAAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITCentro de Investigación Biomédica en Red · ESEuropean Commission · BEUniversität Hamburg · DEAzienda Sanitaria Unità Locale di Reggio Emilia · ITCancer Registry of Norway · NOGerman Cancer Society · DEHospital Del Mar · ESMetropolitana Milanese (Italy) · ITNetherlands Comprehensive Cancer Organisation · NLQueen Mary University of London · GBRadboud University Nijmegen · NLSt. Vincent's University Hospital · IEUmeå University · SEUniversity College Dublin · IEUniversity of Geneva · CH

Funding

European Commission, Joint Research Centre Ispra, Italy Not applicable
6 · The paper itself

Abstract

backgroundIn the scope of the European Commission Initiative on Breast Cancer (ECIBC) the Monitoring and Evaluation (M&E) subgroup was tasked to identify breast cancer screening programme (BCSP) performance indicators, including their acceptable and desirable levels, which are associated with breast cancer (BC) mortality. This paper documents the methodology used for the indicator selection.

methodsThe indicators were identified through a multi-stage process. First, a scoping review was conducted to identify existing performance indicators. Second, building on existing frameworks for making well-informed health care choices, a specific conceptual framework was developed to guide the indicator selection. Third, two group exercises including a rating and ranking survey were conducted for indicator selection using pre-determined criteria, such as: relevance, measurability, accurateness, ethics and understandability. The selected indicators were mapped onto a BC screening pathway developed by the M&E subgroup to illustrate the steps of BC screening common to all EU countries.

resultsA total of 96 indicators were identified from an initial list of 1325 indicators. After removing redundant and irrelevant indicators and adding those missing, 39 candidate indicators underwent the rating and ranking exercise. Based on the results, the M&E subgroup selected 13 indicators: screening coverage, participation rate, recall rate, breast cancer detection rate, invasive breast cancer detection rate, cancers > 20 mm, cancers ≤10 mm, lymph node status, interval cancer rate, episode sensitivity, time interval between screening and first treatment, benign open surgical biopsy rate, and mastectomy rate.

conclusionThis systematic approach led to the identification of 13 BCSP candidate performance indicators to be further evaluated for their association with BC mortality.

Indexed as

AgedBiopsyBreastBreast NeoplasmsEarly Detection of CancerEuropeFemaleHealth Plan ImplementationHumansMammographyMass ScreeningMastectomyMiddle AgedPatient Acceptance of Health CarePractice Guidelines as TopicProgram EvaluationBreast neoplasms/diagnostic imaging*Early detection of Cancer*/methodsFemaleHealth care/standards*Mass screening/methodsProgramme evaluationQuality indicators

Identifiers

PMID32831048
PMCPMC7444070
OpenAlexW3080759774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.