Inicio  /  Cancers  /  Vol: 14 Par: 13 (2022)  /  Artículo
ARTÍCULO
TITULO

Prediction Models and Decision Aids for Women with Ductal Carcinoma In Situ: A Systematic Literature Review

Renée S. J. M. Schmitz    
Erica A. Wilthagen    
Frederieke van Duijnhoven    
Marja van Oirsouw    
Ellen Verschuur    
Thomas Lynch    
Rinaa S. Punglia    
E. Shelley Hwang    
Jelle Wesseling    
Marjanka K. Schmidt    
Eveline M. A. Bleiker    
Ellen G. Engelhardt and Grand Challenge PRECISION Consortium    

Resumen

Ductal carcinoma in situ (DCIS) is a potential precursor to invasive breast cancer (IBC). Although in many women DCIS will never become breast cancer, almost all women diagnosed with DCIS undergo surgery with/without radiotherapy. Several studies are ongoing to de-escalate treatment for DCIS. Multiple decision support tools have been developed to aid women with DCIS in selecting the best treatment option for their specific goals. The aim of this study was to identify these decision support tools and evaluate their quality and clinical utility. Thirty-three studies were reviewed, in which four decision aids and six prediction models were described. While some of these models might be promising, most lacked important qualities such as tools to help women discuss their options or good quality validation studies. Therefore, the need for good quality, well validated decision support tools remains unmet.

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