Publications by authors named "D A Rublee"
Background: Surprisingly little is known about the burden of oral mucositis (OM). We provide a systematic review of studies on the burden of OM (incidence, economic impact, health-related quality of life (HRQoL)).
Methods: Systematic literature searches were made in BIOSIS, EMBASE, and MEDLINE.
Introduction And Aim: Open questions in haemophilia, such as effectiveness of innovative therapies, clinical and patient-reported outcomes (PROs), epidemiology and cost, await answers. The aim was to identify data attributes required and investigate the availability, appropriateness and accessibility of real-world data (RWD) from German registries and secondary databases to answer the aforementioned questions.
Methods: Systematic searches were conducted in BIOSIS, EMBASE and MEDLINE to identify non-commercial secondary healthcare databases and registries of patients with haemophilia (PWH).
Background: Prior analyses beyond clinical trials are yet to evaluate the projected lifetime benefit of apixaban treatment compared to low-molecular-weight heparin (LMWH)/vitamin K antagonist (VKA) for treatment of venous thromboembolism (VTE) and prevention of recurrences. The objective of this study is to assess the cost-effectiveness of initial plus extended treatment with apixaban versus LMWH/VKA for either initial treatment only or initial plus extended treatment.
Methods: A Markov cohort model was developed to evaluate the lifetime clinical and economic impact of treatment of VTE and prevention of recurrences with apixaban (starting at 10 mg BID for 1 week, then 5 mg BID for 6 months, then 2.
Purpose: To assess the cost-effectiveness of apixaban versus rivaroxaban, low-molecular-weight heparin (LMWH)/dabigatran, and LMWH/vitamin K antagonist (VKA) for the initial treatment and prevention of recurrent thromboembolic events in patients with venous thromboembolism (VTE).
Methods: A Markov model was developed to evaluate the pharmacoeconomic effect of 6 months of treatment with apixaban versus other anticoagulants over a lifetime horizon. Network meta-analyses were conducted using the results of the Apixaban after the Initial Management of Pulmonary Embolism and Deep Vein Thrombosis with First-Line Therapy (AMPLIFY), EINSTEIN-pooled, and RE-COVER I and II trials for the following end points: recurrent VTE, major bleeds, clinically relevant non-major bleeds, and treatment discontinuations.
Background: Application of novel machine learning approaches to electronic health record (EHR) data could provide valuable insights into disease processes. We utilized this approach to build predictive models for progression to prediabetes and type 2 diabetes (T2D).
Methods: Using a novel analytical platform (Reverse Engineering and Forward Simulation [REFS]), we built prediction model ensembles for progression to prediabetes or T2D from an aggregated EHR data sample.