Victoria C. Hamelinck

Nonreferral of Nursing Home Patients With Suspected Breast Cancer

INTRODUCTION People with suspected breast cancer who are not referred for diagnostic testing remain unregistered and are not included in cancer statistics. Little is known about the extent of and motivation for nonreferral of these patients. METHODS A Web-based survey was sent to all elderly care physicians (ECPs) registered at the National Association of Elderly Care Physicians and Social Geriatricians in the Netherlands, inquiring about the number of patients with suspected breast cancer they encountered and subsequent choices regarding referral. RESULTS Surveys were completed by 419 (34%) of 1239 ECPs; 249 (60%) of these had encountered one or more patients with suspected breast cancer in the past year. Seventy-four (33%) ECPs reported not referring the last patient. Reasons for nonreferral were end-stage dementia (57%), patient/family preference (29%), and limited life expectancy (23%). Referral was frequently thought to be too burdensome (13%). For 16% of nonreferred patients, hormonal treatment was started by the ECP without diagnostic confirmation of cancer. CONCLUSION In this survey, more than 33% of nursing home patients with suspected breast cancer were not referred for further testing, in particular those with advanced dementia, limited life expectancy, and poor functional status. As the combination of dementia and suspected breast cancer is expected to double in the coming decades, now is the time to optimize cancer care for these vulnerable patients.

Targeted therapy in older women with breast cancer – What's the target?

In this review, the results of the FOCUS (Female breast cancer in the elderly: Optimizing Clinical guidelines USing clinico-pathological and molecular data) program are summarized. This study was originally designed with the aim to define guidelines for the treatment of older women with breast cancer. With data from several studies within FOCUS, a prediction model can be constructed. Such a model helps to define individualized treatment for older patients with breast cancer, taking into account tumour characteristics and patient-related factors. At a clinical level, this model can provide the physician and the patient with accurate prediction to assist on the decision making of treatment strategies: this results into individualized treatment, not based on one individual marker, but on different pillars related to the patient, the tumour and the most suitable, appropriate treatment.