Demirblalock4601

BACKGROUND Background. Genomic and transcriptomic data publicly available in huge searchable databases allow to address specific medical issues in thousand patients. Many studies highlight the role lipids play in cancer setup and progression and report nutritional interventions aimed at improving prognosis and survival. Therefore, increasing interest is given to the role fat intake may play. A relation between body mass and survival in cancer patients is known, as well as the association between high-fat diet and increased cancer risk. In different cancers, such as colorectal cancer, obesity and fat intake are known to induce setup and progression. On the contrary, in melanoma patients under therapy, an increased body mass index unexpectedly acts as a protective factor rather than as a risk factor, a phenomenon known as "obesity paradox". OBJECTIVE Objectives. Identifying the molecular machinery underlining the "obesity paradox" may indicate new effective strategies to reduce risk factors and improve protecti MARCO, FABP4, FABP7. Such strong reduction is not observed in colorectal cancer patients. An additional analysis was carried out in DNA-TCGA dataset from Oncomine database, further validating CD36 and FABP4. CONCLUSIONS Conclusions. We hypothesize that the observed lower expression of such genes may reduce fat-internalization and therefore make melanoma patients less sensible to high fat dietary intake, explaining at least in part the obesity paradox observed in melanoma patients. CLINICALTRIALBACKGROUND Power mobility devices (PMD) are critical to achieving independent mobility and social participation for many individuals who have trouble walking. Provision of PMDs is complex, with cognitive functioning expressed by clinicians as a major concern. Even if PMD use can be predicted by the level of cognitive functioning, outcome tools used to assess readiness do not consider how cognitive functioning may affect PMD use. OBJECTIVE The specific aims of this review are to identify existing assessments used to assess cognitive functioning and PMD use, classify cognitive functions that are identified within existing assessments related to PMD use, and explore the relationships between cognitive functioning (ie, executive functions and attention) and PMD use. METHODS A systematic review will be conducted using the electronic databases MEDLINE (Ovid), CINAHL, Embase, PsycINFO (Ovid), and Web of Science based on the concepts of PMD performance and capacity, and cognitive functioning. To be included, studies D42019118957; https//www.crd.york.ac.uk/PROSPERO/display_record.php? RecordID=118957. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/16534. ©Alice Pellichero, Lisa K Kenyon, Krista Lynn Best, Éric Sorita, Marie-Eve Lamontagne, Marie Denise Lavoie, François Routhier. Originally published in JMIR Research Protocols (http//www.researchprotocols.org), 25.03.2020.BACKGROUND Measuring patient-reported outcomes (PROs) requires an individual's perspective on their symptoms, functional status, and quality of life. Digital health enables remote electronic PRO (ePRO) assessments as a clinical decision support tool to facilitate meaningful provider interactions and personalized treatment. OBJECTIVE This study explored the feasibility and acceptability of collecting ePROs using validated health-related quality of life (HRQoL) questionnaires for prostate cancer. METHODS Using Apple ResearchKit software, the Strength Through Insight app was created with content from validated HRQoL tools 26-item Expanded Prostate Cancer Index Composite (EPIC) or EPIC for Clinical Practice and 8-item Functional Assessment of Cancer Therapy Advanced Prostate Symptom Index. In a single-arm pilot study with patients receiving prostate cancer treatment at Thomas Jefferson University Hospital and affiliates, participants were recruited, and instructed to download Strength Through Insight and completeehavioral factors to group patients by their distinct personalities and motivations, which influence their choices. TRIAL REGISTRATION ClinicalTrials.gov NC03197948; http//clinicaltrials.gov/ct2/show/NC03197948. ©Christine Tran, Adam Dicker, Benjamin Leiby, Eric Gressen, Noelle Williams, Heather Jim. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 25.03.2020.BACKGROUND Long-term care for patients with chronic diseases poses a huge challenge in primary care. There are deficits in care, especially regarding monitoring and creating structured follow-ups. Appropriate electronic medical records (EMR) could support this, but so far, no generic evidence-based template exists. OBJECTIVE The aim of this study is to develop an evidence-based standardized, generic template that improves the monitoring of patients with chronic conditions in primary care by means of an EMR. METHODS We used an adapted Delphi procedure to evaluate a structured set of evidence-based monitoring indicators for 5 highly prevalent chronic diseases (ie, diabetes mellitus type 2, asthma, arterial hypertension, chronic heart failure, and osteoarthritis). We assessed the indicators' utility in practice and summarized them into a user-friendly layout. RESULTS This multistep procedure resulted in a monitoring tool consisting of condensed sets of indicators, which were divided into sublayers to maximize ergonomics. A cockpit serves as an overview of fixed goals and a set of procedures to facilitate disease management. An additional tab contains information on nondisease-specific indicators such as allergies and vital signs. L(+)-Monosodium glutamate monohydrate CONCLUSIONS Our generic template systematically integrates the existing scientific evidence for the standardized long-term monitoring of chronic conditions. It contains a user-friendly and clinically sensible layout. This template can improve the care for patients with chronic diseases when using EMRs in primary care. ©Leandra Christina Falck, Marco Zoller, Thomas Rosemann, Nahara Anani Martínez-González, Corinne Chmiel. Originally published in JMIR Medical Informatics (http//medinform.jmir.org), 25.03.2020.BACKGROUND The process of manually recording the consumption of medical materials can be time consuming and prone to omission owing to its detailed and complicated nature. Implementing an information system will better improve work performance. OBJECTIVE The Information System Success Model was adopted as the theoretical foundation. The opinions of nursing staff were collected to verify the impact of the system intervention on their work performance. METHODS This cross-sectional study was conducted at a regional teaching hospital. Nursing staff were invited to participate in the field survey. A total of 296 questionnaires were collected, and of these, 284 (95.9%) were valid and returned. RESULTS The key findings showed that two critical factors ("subjective norm" and "system quality") had significant positive effects (both P less then .001) on user satisfaction (R2=0.709). The path of "service quality" to "user satisfaction" showed marginal significance (P=.08) under the 92% CI. Finally, the explanatory power of the model reached 68.