Web of Science: 83 cites, Scopus: 91 cites, Google Scholar: cites,
A systematic review and quality assessment of individualised breast cancer risk prediction models
Louro, Javier (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública)
Posso, Margarita (Institut Hospital del Mar d'Investigacions Mèdiques)
Hilton Boon, Michele (University of Glasgow)
Román, Marta (Institut Hospital del Mar d'Investigacions Mèdiques)
Domingo, Laia (Institut Hospital del Mar d'Investigacions Mèdiques)
Castells, Xavier (Institut Hospital del Mar d'Investigacions Mèdiques)
Sala, Maria (Institut Hospital del Mar d'Investigacions Mèdiques)

Data: 2019
Resum: Individualised breast cancer risk prediction models may be key for planning risk-based screening approaches. Our aim was to conduct a systematic review and quality assessment of these models addressed to women in the general population. We followed the Cochrane Collaboration methods searching in Medline, EMBASE and The Cochrane Library databases up to February 2018. We included studies reporting a model to estimate the individualised risk of breast cancer in women in the general population. Study quality was assessed by two independent reviewers. Results are narratively summarised. We included 24 studies out of the 2976 citations initially retrieved. Twenty studies were based on four models, the Breast Cancer Risk Assessment Tool (BCRAT), the Breast Cancer Surveillance Consortium (BCSC), the Rosner & Colditz model, and the International Breast Cancer Intervention Study (IBIS), whereas four studies addressed other original models. Four of the studies included genetic information. The quality of the studies was moderate with some limitations in the discriminative power and data inputs. A maximum AUROC value of 0. 71 was reported in the study conducted in a screening context. Individualised risk prediction models are promising tools for implementing risk-based screening policies. However, it is a challenge to recommend any of them since they need further improvement in their quality and discriminatory capacity.
Ajuts: Instituto de Salud Carlos III PI15-00098
Instituto de Salud Carlos III PI17-00047
Instituto de Salud Carlos III RD12-0001-0015
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article de revisió ; Article ; Versió publicada
Matèria: Epidemiology ; Breast cancer
Publicat a: British journal of cancer, Vol. 121 (may 2019) , p. 76-85, ISSN 1532-1827

DOI: 10.1038/s41416-019-0476-8
PMID: 31114019


10 p, 1.0 MB

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