News from Friday, January 31, 2025
Articles
A New Year, a New Era of Patient-Centered Health Research Powered by PCORnet
(1/30, PCORnet Blog) comments “...In 2025, PCORnet will launch interactive data reports, making data insights from participating sites more accessible and user-friendly. These reports will offer dynamic, interactive tools to explore data by health condition, demographics, and more. Researchers, policymakers, and other partners will find these new tools invaluable for refining research questions, designing impactful studies, and assessing the capabilities of the PCORnet infrastructure to support upcoming research. Expect the initial reports to be available in the first quarter of 2025.” Full
Future Of Accountable Care: Lessons Learned And Potential Paths Forward During A Time Of Transition
(1/31, Robert S. Saunders, Rachel Bonesteel, Frank McStay, Mark B. McClellan, Health Affairs Forefront) comments “...The previous Trump administration implemented the Patients Over Paperwork Initiative, which focused on reducing the number and diversity of quality measures used; the Biden administration took additional steps to align measures across programs. Further progress on electronic data interoperability should make it easier to implement measures that are both meaningful to patients and clinicians, such as objective measures of health risks and patient-reported outcome measures, and simpler to construct.” Full
UK Health System to Offer Cutting-Edge Gene Therapy for Sickle Cell Disease
(1/30, Reuters) reports “Britain's National Health Service (NHS) will provide a cutting-edge gene therapy that aims to cure sickle cell disease, the National Institute for Health and Care Excellence (NICE) said on Friday. The therapy from Vertex Pharmaceuticals, opens new tab and CRISPR Therapeutics, opens new tab will cost the state-funded healthcare system around 1.65 million pounds ($2.1 million) per course.” Full
Press Releases
Artificial Intelligence Improves Personalized Cancer Treatment
(1/30, Ludwig-Maximilians-Universitaet Muenchen Press Release) “Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers from the Faculty of Medicine at the University of Duisburg-Essen (UDE), LMU Munich, and the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin has developed a new approach to this problem using artificial intelligence (AI).” Full
Journals
Real-World Comparative Effectiveness of Sacubitril/Valsartan Versus RAS Inhibition Alone in Patients with De Novo Heart Failure
Ankeet S Bhatt, et al.
January 30, 2025, ESC Heart Failure
Comparative Effectiveness of Insulin Glargine, Glucagon-like Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter-2 Inhibitors in Veterans with Type 2 Diabetes
Jincheng Shen, et al.
January 30, 2025, Diabetes, Obesity & Metabolism
Comparative Effectiveness of Cinacalcet Taken at-Home Versus Three Times Weekly In-Center on Controlling Calcium, Phosphate, and Parathyroid Hormone Levels
Vishal Ratkalkar, et al.
January 30, 2025, Hemodialysis International