Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman.
Jeremy S PaigeChristoph I LeePin-Chieh WangWilliam HsuAdam R BrentnallAnne C HoytArash NaeimJoann G ElmorePublished in: Journal of general internal medicine (2023)
Breast cancer risk estimates for individual women vary substantially, depending on which risk assessment model is used. The choice of cutoff used to define high risk can lead to adverse effects for screening, preventive care, and quality of life for misidentified individuals. Clinicians need to be aware of the high false-positive and false-negative rates and variation between models when talking with patients.
Keyphrases
- breast cancer risk
- risk assessment
- end stage renal disease
- palliative care
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- peritoneal dialysis
- prognostic factors
- quality improvement
- type diabetes
- polycystic ovary syndrome
- pain management
- adipose tissue
- decision making
- metabolic syndrome
- skeletal muscle
- pregnant women
- chronic pain