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Opportunities for personalised follow-up in breast cancer: the gap between daily practice and recurrence risk.
Voets, Madelon M; Hassink, Noa S; Veltman, Jeroen; Slump, Cornelis H; Koffijberg, Hendrik; Siesling, Sabine.
Afiliação
  • Voets MM; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
  • Hassink NS; Department of Research and Development, Netherlands Comprehensive Cancer Organisation, P.O. Box 19079, 3501 DB, Utrecht, The Netherlands.
  • Veltman J; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
  • Slump CH; Multi-Modality Medical Imaging, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
  • Koffijberg H; Department of Radiology, Ziekenhuisgroep Twente, Zilvermeeuw 1, 9609 PP, Almelo, The Netherlands.
  • Siesling S; Department of Robotics and Mechatronics, Technical Medical Centre, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.
Breast Cancer Res Treat ; 205(2): 313-322, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38409613
ABSTRACT

PURPOSE:

Follow-up guidelines barely diverge from a one-size-fits-all approach, even though the risk of recurrence differs per patient. However, the personalization of breast cancer care improves outcomes for patients. This study explores the variation in follow-up pathways in the Netherlands using real-world data to determine guideline adherence and the gap between daily practice and risk-based surveillance, to demonstrate the benefits of personalized risk-based surveillance compared with usual care.

METHODS:

Patients with stage I-III invasive breast cancer who received surgical treatment in a general hospital between 2005 and 2020 were selected from the Netherlands Cancer Registry and included all imaging activities during follow-up from hospital-based electronic health records. Process analysis techniques were used to map patients and activities to investigate the real-world utilisation of resources and identify the opportunities for improvement. The INFLUENCE 2.0 nomogram was used for risk prediction of recurrence.

RESULTS:

In the period between 2005 and 2020, 3478 patients were included with a mean follow-up of 4.9 years. In the first 12 months following treatment, patients visited the hospital between 1 and 5 times (mean 1.3, IQR 1-1) and received between 1 and 9 imaging activities (mean 1.7, IQR 1-2). Mammogram was the prevailing imaging modality, accounting for 70% of imaging activities. Patients with a low predicted risk of recurrence visited the hospital more often.

CONCLUSIONS:

Deviations from the guideline were not in line with the risk of recurrence and revealed a large gap, indicating that it is hard for clinicians to accurately estimate this risk and therefore objective risk predictions could bridge this gap.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Recidiva Local de Neoplasia Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Breast Cancer Res Treat Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Recidiva Local de Neoplasia Limite: Adult / Aged / Female / Humans / Middle aged País/Região como assunto: Europa Idioma: En Revista: Breast Cancer Res Treat Ano de publicação: 2024 Tipo de documento: Article