Author Interviews, JAMA, Mayo Clinic, Race/Ethnic Diversity, USPSTF / 20.11.2021

MedicalResearch.com Interview with: Chyke A. Doubeni, M.D., M.P.H. Member of the U.S. Preventive Services Task Force since 2017 Director, the Mayo Clinic Center Health Equity and Community Engagement Research Department of Family Medicine Mayo Clinic in Rochester, MN  MedicalResearch.com: What is the background for this study? What are the main findings? Response: People who experience systemic racism generally have shorter life expectancies and experience more health problems. Racism can increase the chances of getting preventable conditions, limit access to health information, and restrict access to actual preventive care. To confront these issues and promote antiracism and health equity, the Task Force commissioned a review of the evidence around how systemic racism currently undermines preventive healthcare. Based on that review, the Task Force has developed an initial set of strategies to reduce the effects of systemic racism, which includes prioritizing topics that are likely to advance health equity, assessing the Task Force’s language to ensure it is culturally appropriate, and calling for more research in people of color.  (more…)
Author Interviews, JAMA, Mayo Clinic, Pancreatic, USPSTF / 14.08.2019

MedicalResearch.com Interview with: Dr. Chyke A. Doubeni, M.D., M.P.H. Dr. Doubeni is a family physician and The inaugural director of the Mayo Clinic Center for Health Equity and Community Engagement Research MedicalResearch.com: What is the background for this study? Response: The U.S. Preventive Services Task Force uses systematic review of existing research to make recommendations on clinical preventive services that are delivered in primary care, with the goal to promote and improve health for all Americans. Although pancreatic cancer is an uncommon condition in the general population, it is often deadly. Pancreatic cancer is now the third most common cause of cancer death in the United States, and could become the second leading cause if current trends continue. The vast majority of people with pancreatic cancer are diagnosed at a late stage and, unfortunately, even when caught early enough when surgery could be most effective, only a little over one-third of patients survive beyond five years. (more…)
Author Interviews, Heart Disease, Lancet, Mayo Clinic, Technology / 02.08.2019

MedicalResearch.com Interview with: Paul Friedman, M.D. Professor of Medicine Norman Blane & Billie Jean Harty Chair Mayo Clinic Department of Cardiovascular Medicine Honoring Robert L. Frye, M.D. MedicalResearch.com: What is the background for this study? Response: Atrial fibrillation is an irregular heart rhythm that is often intermittent and asymptomatic.  It is estimated to affect 2.7–6.1 million people in the United States, and is associated with increased risk of stroke, heart failure and mortality. It is difficult to detect and often goes undiagnosed. After an unexplained stroke, it is important to accurately detect atrial fibrillation so that patients with it are given anticoagulation treatment to reduce the risk of recurring stroke, and other patients (who may be harmed by this treatment) are not. Currently, detection in this situation requires monitoring for weeks to years, sometimes with an implanted device, potentially leaving patients at risk of recurrent stroke as current methods do not always accurately detect atrial fibrillation, or take too long. We hypothesized that we could train a neural network to identify the subtle findings present in a standard 12-lead electrocardiogram (ECG) acquired during normal sinus rhythm that are due to structural changes associated with a history of (or impending) atrial fibrillation.   Such an AI enhanced ECG (AI ECG) would be inexpensive, widely available, noninvasive, performed in 10 seconds, and immensely useful following embolic stroke of unknown source to guide therapy. To test this hypothesis, we trained, validated, and tested a deep convolutional neural network using a large cohort of patients from the Mayo Clinic Digital Data Vault. (more…)