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[Discrepancies and overdiagnosis in breast cancer organized screening. A "methodology" systematic review]. / Divergences et surdiagnostics dans le dépistage organisé du cancer du sein. Une revue systématique « méthodologique ¼ de la littérature.
Gocko, X; Leclerq, M; Plotton, C.
Afiliação
  • Gocko X; Faculté de médecine générale de Saint-Étienne, université Jacques-Lisfranc, campus santé innovations, 10, rue de la Marandière, 42270 Saint-Priest-en-Jarez, France; Laboratoire SNA-EPIS EA4607, 42055 Saint-Etienne cedex 2, France; Health Services and Performance Research (HESPER), EA7425, 42055 Saint-Etienne cedex 2, France. Electronic address: xavier.gocko@univ-st-etienne.fr.
  • Leclerq M; Faculté de médecine générale de Saint-Étienne, université Jacques-Lisfranc, campus santé innovations, 10, rue de la Marandière, 42270 Saint-Priest-en-Jarez, France.
  • Plotton C; Faculté de médecine générale de Saint-Étienne, université Jacques-Lisfranc, campus santé innovations, 10, rue de la Marandière, 42270 Saint-Priest-en-Jarez, France.
Rev Epidemiol Sante Publique ; 66(6): 395-403, 2018 Nov.
Article em Fr | MEDLINE | ID: mdl-30316554
ABSTRACT

BACKGROUND:

The risk-benefit ratio of breast cancer organized screening is the focus of much scientific controversy, especially about overdiagnosis. The aim of this study was to relate methodological discrepancies to variations in rates of overdiagnosis to help build future decision aids and to better communicate with patients.

METHODS:

A systematic review of methodology was conducted by two investigators who searched Medline and Cochrane databases from 01/01/2004 to 12/31/2016. Results were restricted to randomized controlled trials (RCTs) and observational studies in French or English that examined the question of the overdiagnosis computation.

RESULTS:

Twenty-three observational studies and four RCTs were analyzed. The methods used comparisons of annual or cumulative incidence rates (age-cohort model) in populations invited to screen versus non-invited populations. Lead time and ductal carcinoma in situ (DCIS) were often taken into account. Some studies used statistical modeling based on the natural history of breast cancer and gradual screening implementation. Adjustments for lead time lowered the rate of overdiagnosis. Rate discrepancies, ranging from 1 to 15 % for some authors and around 30 % for others, could be explained by the hypotheses accepted concerning very slow growing tumors or tumors that regress spontaneously.

CONCLUSION:

Apparently, research has to be centered on the natural history of breast cancer in order to provide responses concerning the questions raised by the overdiagnosis controversy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Programas de Rastreamento / Erros de Diagnóstico / Uso Excessivo dos Serviços de Saúde Idioma: Fr Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Programas de Rastreamento / Erros de Diagnóstico / Uso Excessivo dos Serviços de Saúde Idioma: Fr Ano de publicação: 2018 Tipo de documento: Article