Breast Cancer Female Clinical Trial
Official title:
Evaluating, Following, and Supporting Breast Cancer Patients in a Better Way
The current observational study aims at analysing current semiology on breast cancer patients
aiming at noting indicators and signs with significant relationship with the disease
outcomes.
To reach the primary objective, of identifying most prominent indicators and signs, a study
group of at least 100 female patients with breast cancer diagnosis will be recruited to
participate voluntarily. The study group will include at least 20 patients with metastatic
cancer and 30 patients with indication to adjuvant chemotherapy. Their physical activity
habits and lifestyle will be noted. The observational study will consist in the periodic
registration of the overall physical and psychological condition. The variables and tests
below will be measured and registered, periodically:
- periodical assessment of the quality of life
- periodical assessment of the fitness status of the subjects
- assessment of changes in bone density/progression of osteoporosis
- assessment of changes in cognitive function
- assessment of sleep disorders
The collected results will be statistically analysed, in order to:
- Identify variables that are statistically significantly different from expected values
- quantify statistically significant differences, whenever possible
The results will be used to better describe the breast cancer population
Breast Cancer treatment is expected to have the best outcome when adapted to the patients'
health, and physical condition. The investigators aim at contributing to produce an improved
algorithm to evaluate breast cancer patients.
The semiologic evaluation of patients is changing, as a result of scientific advances, easier
and rapid access to information, the incorporation of ICT (information and communication
technologies) etc. Profound changes are expected, namely in incorporating new technologies to
improve patient's evaluation.
Medicine is also called to give better support to cancer patients, which disease is not
active but may evolve in the future. Cancer is more and more regarded as a chronic ailment,
as the acute life-threatening conditions are fortunately becoming less and less frequent. In
these cases, medicine is requested to provide ways of improving longevity with quality of
life. Physical activity may play an important role in achieving such a goal. The
investigators think that possibly the same kind of approach, i.e. considering physical
activity, although to a different extent, should also be considered in the case of some
patients with active disease. Human relationships play a very important role in supporting
the patients' wellness, in impacting their quality of life, and in ensuring that the patients
have the most adequate treatment, taking into account their true health conditions.
This change of paradigm in Medicine is very important in areas as Oncology. Clinicians need
new tools to give the best treatment to patients. These new tools will certainly soon
incorporate new technologies that will call for different patterns of patients' validation.
The question to be answered is if whether or not the introduction of new variables for the
assessment of disease progression/quality of life of breast cancer patients and survivors
will help improve medical reasoning of the general condition of the patient.
As future goals, subsequently to the present observational study, the investigators look
forward to provide answers to:
- what kind of physical and cognitive evaluation should be offered to Breast Cancer
Patients?
- How can existing knowledge on physical motility be incorporated in the clinical
practice? Namely in physical, and cognitive evaluation? (and finally assessing if such
evaluation has practical impact) Moreover, the extended data set, expected to be
obtained in the current study, is likely to be useful in developing strategies to
motivate patients to follow an active lifestyle and balanced diet, as well as in helping
adapt interventions that aim at improving survival rates and the quality of life.
The relevant observations, summarized in this study, are expected to positively act on
semiology evaluation of the breast cancer patients on daily medical practice, through an
improved algorithm. Such algorithm should be suitable for the clinical practice and
compatible with artificial intelligence tools.
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