QxMD in the literature

BACKGROUND: Clinically validated prognostic models for overall survival do not exist for patients with relapsed or refractory chronic lymphocytic leukaemia (CLL) who are on targeted therapies. We aimed to create a prognostic model to identify high-risk individuals who do not achieve a good outcome with available targeted therapies. METHODS: In this retrospective, pooled cohort study, 2475 patients with CLL treated between June 22, 2012, and Sept 23, 2015, in six randomised trials of ibrutinib, idelalisib, and venetoclax, or at the Mayo Clinic CLL Database (MCCD) were included...

INTRODUCTION: Medical knowledge is rapidly expanding and updating. It is very important that students can timely access to information and the latest scientific evidence without any time and place limitation. The smartphone is one of ICT tools that adopted greatly by healthcare professionals. Today, the most medical sciences universities have provided smartphone as an educational aid tool and acquisition licenses for medical apps resources in training of their students. AIM: This research was conducted to determine common smartphone applications among medical students of Urmia University of medical sciences and to identify barriers in using them...

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OBJECTIVE: Several risk-scoring systems have been developed to predict surgical mortality and complications in cardiac surgical patients, but none of the current systems include factors related to the intraoperative period. The purpose of this study was to develop a score that incorporates both preoperative and intraoperative factors so that it could be used for patients admitted to a cardiac surgical intensive care unit (ICU) immediately after surgery. METHOD: Preoperative and intraoperative data from 30,350 patients in four hospitals were used to build a multiple logistic regression model estimating 30-day mortality after cardiac surgery...

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BACKGROUND: Mobile phones with operating systems and capable of running applications (smartphones) are increasingly being used in clinical settings. Medical calculating applications are popular mhealth apps for smartphones. These include, for example, apps that calculate the severity or likelihood of disease-based clinical scoring systems, such as determining the severity of liver disease, the likelihood of having a pulmonary embolism, and risk stratification in acute coronary syndrome...