JAMAevidence Users' Guides to the Medical Literature
JAMA Network
JAMA editors and authors explain the methods underlying clinical research to help students, trainees, and health professionals use the published medical literature to make evidence-based decisions for patients. JAMAevidence is an evidence-based medicine (EBM) resource created and maintained by the JAMA Network to promote the use of EBM to improve patient care.
Episodes
Mentioned books
Jun 2, 2022 • 15min
Measuring Agreement Beyond Chance With Dr Thomas McGinn
Gordon Guyatt, MD, discusses Measuring Agreement Beyond Chance with Thomas McGinn, MD, MPH. Related Content: Does This Patient Have Infectious Mononucleosis? The Rational Clinical Examination Systematic Review
Mar 3, 2022 • 16min
Correlation and Regression With Dr Jaeschke
Gordon H. Guyatt, MD, MSc, discusses Correlation and Regression with Roman Jaeschke, MD, MSc.
Nov 4, 2021 • 26min
Economic Analysis With Dr Paul Moayyedi
Gordon Guyatt, MD, discusses economic analysis with Paul Moayyedi, PhD
Jul 1, 2021 • 31min
Misleading Presentations of Clinical Trial Results with Dr Victor Montori
Gordon Guyatt, MD, discusses Misleading Presentations of Clinical Trial Results with Victor Montori, MD Related Content: Misleading Presentations of Clinical Trial Results with Dr Victor Montori When Can Intermediate Outcomes Be Used in Clinical Trials? When Guidelines Recommend Shared Decision-making
Apr 1, 2021 • 17min
Surrogate Outcomes from the Users' Guides to the Medical Literature
Anne M. Holbrook, MD and Gordon Guyatt, MD, discuss Surrogate Outcomes from the JAMA Users' Guides to the Medical Literature Related Content: When Can Intermediate Outcomes Be Used as Surrogate Outcomes? FDA Acceptance of Surrogate End Points for Cancer Drug Approval: 1992-2019 What Constitutes a Valid Surrogate End Point in Cancer Clinical Trials?
Nov 9, 2020 • 25min
How to Read Articles That Use Machine Learning With Yun Liu, PhD
Yun Liu, an expert in machine learning applications in medicine, unpacks the complexities of reading medical literature influenced by algorithms. He clarifies key concepts like artificial intelligence and deep learning, emphasizing their roles in diagnostics. Liu discusses how algorithms transform medical imaging workflows and the importance of validating machine learning models with diverse datasets. He also highlights challenges in predictive accuracy, illustrating with dermatology and the essential balance of technology and clinician expertise.
May 7, 2020 • 24min
Cluster Randomized Trials: Evaluating Treatments Applied to Groups With William J. Meurer, MD
JAMA Deputy Editor Edward Livingston, MD, discusses "Cluster Randomized Trials: Evaluating Treatments Applied to Groups" With William J. Meurer, MD, MS
Apr 2, 2020 • 5min
Dose-Finding Trials: Optimizing Phase 2 Data in the Drug Development Process with Dr Kert Viele
Ed Livingston, MD, FACS, AGAF, discusses Dose-Finding Trials: Optimizing Phase 2 Data in the Drug Development Process with Kert Viele, PhD
Feb 6, 2020 • 11min
Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Dr Amy Kaji
Ed Livingston, MD, FACS, AGAF, discusses Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Amy Kaji, MD, PhD
Jan 2, 2020 • 21min
Decision-making and the Patient with Dr Victor Montori
Gordon Guyatt, MD, MSc, discusses Decision-making and the Patient with Victor Montori, MD, MSc.
