Your browser doesn't support javascript.
loading
A novel methodological framework was described for detecting and quantifying overdiagnosis.
Bell, Katy; Doust, Jenny; Sanders, Sharon; Buchbinder, Rachelle; Glasziou, Paul; Irwig, Les; Jones, Mark; Moynihan, Ray; Kazda, Luise; Barratt, Alexandra.
Afiliación
  • Bell K; Sydney School of Public Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales 2006, Australia. Electronic address: katy.bell@sydney.edu.au.
  • Doust J; Centre for Longitudinal and Life Course Research, School of Public Health, University of Queensland, Herston, Queensland 4006, Australia.
  • Sanders S; Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Queensland 4229, Australia.
  • Buchbinder R; Monash Department of Clinical Epidemiology, Cabrini Institute, Melbourne, Victoria 3144, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria 3800, Australia.
  • Glasziou P; Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Queensland 4229, Australia.
  • Irwig L; Sydney School of Public Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales 2006, Australia.
  • Jones M; Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Queensland 4229, Australia.
  • Moynihan R; Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Queensland 4229, Australia.
  • Kazda L; Sydney School of Public Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales 2006, Australia.
  • Barratt A; Sydney School of Public Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales 2006, Australia.
J Clin Epidemiol ; 148: 146-159, 2022 08.
Article en En | MEDLINE | ID: mdl-35483550
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Gestacional / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Gestacional / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos