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Overview Medical care is delivered one-patient-at-a-time. But the evidence for practicing is derived by aggregating many patients—typically thousands or tens of thousands of patients--into groups. This group-derived evidence would be highly informative for medical practice if all patients were identical. The dissimilarity of individual patients, however, potentially undermines clinical research as a scientific basis for the practice of medicine. The Predictive Analytics and Comparative Effectiveness (PACE) Center seeks to better understand and address the limitations of using group-derived evidence as the basis for decision making in individual patients. Our approach is based on the close integration of clinical and statistical reasoning. Our goal is to provide clinicians and patients with evidence better tailored to their particular circumstances; we have expertise in clinical medicine, risk modeling, individual patient meta-analysis, and observational comparative effectiveness studies. David Kent, MD, CM, MSc Director and Professor of Medicine Researchers + Staff David Kent, MD, CM, MSc Director and Professor of Medicine June C. Baglione Senior Research Administrator Riley Brazil Research Fellow Gaurav Gulati, MD Research Fellow Mike Hughes Assistant Professor of Computer Science David van Klaveren, PhD, MSc Research Associate Benjamin Koethe, MPH Statistician Lester Y. Leung, MD, MSc Director, Comprehensive Stroke Center; Director, Stroke and Young Adults (SAYA) Program Christine Lundquist Research Associate Jennifer Lutz, MA Research Assistant Hannah L. McGinnes, MPH Research Assistant Jason Nelson, MPH Statistician Jinny Park, MPH Research Project Coordinator Jessica Paulus, ScD Research Director and Assistant Professor of Medicine Bridget Perry, PhD Research Fellow Robin Ruthazer, MPH Statistician and Assistant Professor of Medicine Jenica Upshaw, MD Medical Director, Cardio-Oncology Program; Attending Physician, Advanced Heart Failure Esmee Venema, MD, MSc Visiting Research Fellow Benjamin S. Wessler, MD Staff Cardiologist and Assistant Professor of Medicine Publications View Dr. Kent’s recent publications on PubMED> View Mr. Nelson’s recent publications on PubMED> View Dr. Paulus’ recent publications on PubMED> View Ms. Ruthazer’s recent publications on PubMED> View Dr. van Klaveren’s recent publications on PubMED> View Dr. Wessler’s recent publications on PubMED> PACE News + Media “Point-Hemoglobin A1c Goals: Is Lower Better? ” Tufts Medical Center Point-Counterpoint Grand Rounds. Boston, MA. October 12, 2018. “Evidence and the Individual Patient: Understanding Heterogeneous Treatment Effects for Patient-Centered Care.” National Academy of Medicine. Washington, DC. May 31, 2018. "Selecting patients for lung cancer screening by personalized risk offers limited long term gains" Tufts Medical Center. Boston, MA. February 1, 2018 “Personalized Risk Information in Cost Effectiveness Studies (PRICES).” Chapter 14. Health Economics Common Fund Research Symposium. Bethesda, MD. September 25, 2017. “Moving Beyond Averages” Patient-Centered Outcomes Research Institute. January 2017 “PACE Symposium: Using Group Data to Treat Individuals” Tufts Medical Center, Boston, MA. June 4, 2015. “Getting it Right the First Time: Can We Predict Who is Likely to Respond?” The Myth of Average: Why Individual Patient Differences Matter Conference. Omni Shoreham Hotel, Washington DC, Nov 30, 2012. "Risk Modeling for Targeting Therapies to those who can Benefit: The Example of PFO Closure in Cryptogenic Stroke.” Center for Clinical and Translational Sciences (CCaTS) Grand Rounds. Mayo Clinic, Rochester, MN, September 27, 2013. “An index to identify stroke-related versus incidental patent foramen ovale in cryptogenic stroke.” Neurology Podcast. August 13 2013 Issue. CPM Registry To better understand the extent of Clinical Prediction Model (CPM) development and to help researchers and clinicians, we have created the Tufts PACE CPM Registry, a field synopsis of over 1,000 CPMs that predict clinical outcomes for patients with and at risk for cardiovascular disease. Contact Us Predictive Analytics and Comparative Effectiveness (PACE) Center The Institute for Clinical Research and Health Policy Studies Tufts Medical Center 800 Washington St., Box 63 Boston, MA 02111 Jennifer Lutz, MA Program Coordinator II, Predictive Analytics and Comparative Effectiveness (PACE) Center Phone: 617-636-7405 Fax: 617-636-0022 https://twitter.com/Tufts_PACE
