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Rising costs and poor patient experiences from under-treated symptoms have led to the demand for approaches that improve patients' experiences and lower expenditures. This observational project assigned a lay health worker to concuct proactive symptom assessments intended to achieve these goals among patients with advanced cancer.
Background: To face cancer-related stress, patients and caregivers activate individual and dyadic coping responses. Opened communication, adequate involvement, reciprocal supportive roles, self-disclosure and responsiveness enhance dyadic coping. Nevertheless, little is known about the optimal content of dyadic interventions designed to improve dyadic communication. Methods: A randomized controlled trail was designed to assess the efficacy of a dyadic intervention centered on a cancer-related communication reinforcement. Patient-caregiver dyads are randomly assigned to either an intervention group or a waiting list group. Patients and caregivers complete self-reported scales that assessed emotional distress, individual coping, cancer-related dyadic communication frequency, satisfaction, self-efficacy and coping at baseline and post-treatment (intervention group), or 6 weeks after baseline (waiting list group). This dyadic communication reinforcement intervention (DCRI) consists of a weekly 4-session intervention. This intervention includes specific communication tasks aiming the improvement of some cancer-related dyadic communication competencies such as concerns disclosure and request for support. Discussion: DCRI would lead to improvements in cancer-related dyadic communication self-efficacy, cancer-related dyadic communication satisfaction and dyadic coping.
Heart rate variability biofeedback (HRV-B) is a complementary, non-pharmacologic therapy that is being tested to see if it can help cancer survivors reduce their symptoms of pain, stress, insomnia, fatigue, or depression. HRV-B is an interactive procedure in which participants relax and breathe regularly while watching the a computer screen. The computer screen provides feedback that helps people increase their heart rate variability.
Overall survival (OS) is considered the most reliable cancer endpoint and used by the Health Rregulatory authorities (HRA). OS presents multiple advantages in cancer randomized controlled trials (RCT): it is universally accepted as a measure of clinical benefit for the patient; it is objectively defined, both in terms of events and date of incidence; it is easily and precisely measured and thus reproducible; it can be exhaustively collected. As such, OS has been validated by HRAs. On the other hand, OS presents some limitations. Observing a benefit on OS may require a large number of patients and/or considerable time for patient follow-up. Costs for trials may be increased, and there might be delays in the introduction of possible beneficial treatments for patients. The development of alternative endpoints that could capture treatment benefit appropriately and be measurable earlier, is central for the evolution of clinical research in oncology. Real world data (RWD) are defined as other sources than clinical trials such as: electronic medical records, registries, insurance claims, pharmacy records, death certificates and other patient-generated data. This research is aimed at (i) describing the existing endpoints of survival in real-life setting, (ii) comparing the correlation at individual level with data to clinical trials for related to anti-HER2 targeted therapies and endocrine therapies in MBC. We will investigate the individual correlation between candidate surrogate endpoints and overall survival in a population-based record-computerized database centralizing data on about 20,000 patients from 2008 to 2017 in France. This work should lead to the estimation of various time-to event endpoints (e.g. OS, PFS, etc), in the real-life setting, for mBC patients. In addition, we will estimate their individual correlation with OS, which should help us highlight potential surrogate endpoints in this setting. We will focuss on three distinct population, accounting for a large population of mBS patients: : patients treated with anti-HER2 targeted agents, patients treated with endocrine therapies and elderly population.
Context and hypothesis: In cancer randomized controlled trials (RCT), the validated and most objective criterion to assess treatment efficacy is overall survival (OS). In the elderly population, OS presents limitations as it can be affected by factors other than treatment such as comorbidity or severe toxicity. Although mortality reduction is important for patients of all ages, alternative outcomes such as the ability to live independently or with a better quality of life, may be more important for older patients. Reviews of RCT have highlighted (i) the heterogeneity of such alternative efficacy outcomes and (ii) an absence of standardized definitions for these endpoints. As a result, this may limit the quality of RCT as well as the comparison of results across trials. Our objective is to provide guidelines for standardized definitions of such alternative endpoints to assess treatment efficacy in cancer RCT in elderly populations. The development of guidelines will follow a formal consensus method (questionnaires + in-person meetings). A large panel of international experts will participate. Guidelines are awaited due to the heterogeneity of endpoints and absence of standardized definitions. Standardizing definitions will improve the quality and design of future trials and enhance comparison between trials.
In randomised phase III cancer clinical trials, the most objectively defined and only validated time-to-event endpoint is overall survival (OS). The appearance of new types of treatments and the multiplication of lines of treatment have resulted in the use of surrogate endpoints for overall survival such as progression-free survival (PFS), or time-to-treatment failure. Their development is strongly influenced by the necessity of reducing clinical trial duration, cost and number of patients. However, while these endpoints are frequently used, they are often poorly defined and definitions can differ between trials which may limit their use as primary endpoints. Moreover, this variability of definitions can impact on the trial's results by affecting estimation of treatments' effects. The aim of the Definition for the Assessment of Time-to-event Endpoints in CANcer trials (DATECAN) project is to provide recommendations for standardised definitions of time-to-event endpoints in randomised cancer clinical trials. We will use a formal consensus methodology based on experts' opinions which will be obtained in a systematic manner. Definitions will be independently developed for several cancer sites, including pancreatic, breast, head and neck and colon cancer, as well as sarcomas and gastrointestinal stromal tumours (GISTs). The DATECAN project should lead to the elaboration of recommendations that can then be used as guidelines by researchers participating in clinical trials. This process should lead to a standardisation of the definitions of commonly used time-to-event endpoints, enabling appropriate comparisons of future trials' results.
A retrospective, observational study conducted on cancer patients receiving a drug that blocks certain proteins made by some types of immune system cells
Registry database repository for determining clinical outcomes primarily of patients who have received or have been evaluated for radiation treatment in either the definitive or palliative setting for both malignant and benign etiologies. To compare the outcomes with National Cancer Data Base (NCDB) of the American College of Surgeon(ACS).
With funding from the Candian Cancer Society, the Men's Healthy Eating Active Living (MHEAL) project began the development, evaluation, and optimization of a program called POWERPLAY to promote men's health at work.
To assess if the CMB305 vaccine regimen may help the body's immune system to slow or stop the growth of synovial sarcoma tumor and improve survival.