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Mental disorders have been shown to be associated with a number of general medical conditions (also referred to as somatic or physical conditions). The investigators aim to undertake a comprehensive study of comorbidity among those with treated mental disorders, by using high-quality Danish registers to provide age- and sex-specific pairwise estimates between the ten groups of mental disorders and nine groups of general medical conditions. The investigators will examine the association between all 90 possible pairs of prior mental disorders and later GMC categories using the Danish national registers. Depending on whether individuals are diagnosed with a specific mental disorder, the investigators will estimate the risk of receiving a later diagnosis within a specific GMC category, between the start of follow-up (January 1, 2000) or at the earliest age at which a person might develop the mental disorder, whichever comes later. Follow-up will be terminated at onset of the GMC, death, emigration from Denmark, or December 31, 2016, whichever came first. Additionally for dyslipidemia, follow-up will be ended if a diagnosis of ischemic heart disease was received. A "wash-out" period will be employed in the five years before follow-up started (1995-1999), to identify and exclude prevalent cases from the analysis. Individuals with the GMC of interest before the observation period will be considered prevalent cases and excluded from the analyses (i.e. prevalent cases were "washed-out"). When estimating the risk of a specific GMC, the investigators will consider all individuals to be exposed or unexposed to the each mental disorder depending on whether a diagnosis is received before the end of follow-up. Persons will be considered unexposed to a mental disorder until the date of the first diagnosis, and exposed thereafter.
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.
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).
The goal of this study is to determine whether the novel smartphone application designed specifically for cancer patients to quit smoking (Quit2Heal) provides higher quit rates than the current standard smoking cessation app.
The long-term goal of this research is to apply technologic approaches to improve the use of oral oncolytics. The objective of this study is to assess patient adherence to oral oncolytics and to validate a currently available smart phone application (iRxReminder) partnered with an automated dispensing device, a "Pod", in affecting patient adherence. The rationale for this study is that medication adherence to oncolytics varies and strategies are needed to improve it.