The leading guide to the principles and clinicalapplications of evidence-based medicine--updated with new examples and new chapters

A Doody's Core Title for 2015!

Revised and updated to reflect the latest in medical research and evidence-based resources
Practical focus and organization to guide clinicians through the fundamentals of using the medical literature to the more advanced strategies and skills for use in patient care, using the key questions to assess any new research:

What are the results?
How serious is the risk of bias?
How do I apply the results to patient care?
Updated real-world examples drawn from the medical literature
New chapters that reflect the changing complexity of medical research and literature, including genetic association studies, systematic reviews and meta-analyses, network meta-analysis, noninferiority trials, quality improvement, and evidence-based medicine and the theory of knowledge
New emphasis on understanding the role of patient preferences and preappraised resources that provide updated evidence and evidence-based recommendations for practice

Autorentext

Gordon Guyatt, MD, MSc (Hamilton, Ontario, Canada) Department of Clinical Epidemology and Biostatistics and Medicine, Faculty of Health Services, McMaster University.
Drummond Rennie, MD (Chicago, IL) Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco.
Maureen O. Meade, MD, FRCPC, MSc (Hamilton, Ontario, Canada) Department of Clinical Epidemology and Biostatistics and Medicine, Faculty of Health Services, McMaster University.
Deborah J. Cook, MD, MSc (Hamilton, Ontario, Canada) Department of Clinical Epidemology and Biostatistics and Medicine, Faculty of Health Services, McMaster University.

Klappentext

The leading guide to the principles and clinical applications of evidence-based medicine updated with new examples and new chapters***A Doody's Core Title for 2022 & 2024!***

Revised and updated to reflect the latest in medical research and evidence-based resourcesPractical focus and organization to guide clinicians through the fundamentals of using the medical literature to the more advanced strategies and skills for use in patient care, using the key questions to assess any new research:

• What are the results?
• How serious is the risk of bias?

• How do I apply the results to patient care?Updated real-world examples drawn from the medical literatureNew chapters that reflect the changing complexity of medical research and literature, including genetic association studies, systematic reviews and meta-analyses, network meta-analysis, noninferiority trials, quality improvement, and evidence-based medicine and the theory of knowledgeNew emphasis on understanding the role of patient preferences and preappraised resources that provide updated evidence and evidence-based recommendations for practice

  Inhalt

  Foreword
  Preface
  The Foundations
  1 How to Use the Medical Literature-and This Book-to Improve Your Patient Care
  2 What Is Evidence-Based Medicine?
  3 Evidence-Based Medicine and the Theory of Knowledge
  4 What Is the Question?
  5 Finding Current Best Evidence
  6 Why Study Results Mislead: Bias and Random Error
  Therapy
  7 Therapy (Randomized Trials)
  8 How to Use a Noninferiority Trial
  9 Does Treatment Lower Risk? Understanding the Results
  10 Confidence Intervals: Was the Single Study or Meta-analysis Large Enough?
  11 Advanced Topics in the Risk of Bias of Therapy Trials
  11.1 An Illustration of Bias and Random Error
  11.2 Surprising Results of Randomized Trials
  11.3 Randomized Trials Stopped Early for Benefit
  11.4 The Principle of Intention to Treat and Ambiguous Dropouts
  11.5 N-of-1 Randomized Clinical Trials
  11.6 Clinical Decision Support Systems
  11.7 How to Use an Article About Quality Improvement
  12 Advanced Topics in the Results of Therapy Trials
  12.1 Hypothesis Testing
  12.2 Understanding the Results: More About Odds Ratios
  12.3 What Determines the Width of the Confidence Interval?
  12.4 Composite End Points
  12.5 Measuring Patients' Experience
  13 Advanced Topics in Applying the Results of Therapy Trials
  13.1 Applying Results to Individual Patients
  13.2 Numbers Needed to Treat
  13.3 Misleading Presentations of Clinical Trial Results
  13.4 Surrogate Outcomes
  13.5 Qualitative Research
  Harm (Observational Studies)
  14 Harm (Observational Studies)
  15 Advanced Topics in Harm
  15.1 Correlation and Regression
  Diagnosis
  16 The Process of Diagnosis
  17 Differential Diagnosis
  18 Diagnostic Tests
  19 Advanced Topics in Diagnosis
  19.1 Spectrum Bias
  19.2 Examples of Likelihood Ratios
  19.3 Measuring Agreement Beyond Chance
  19.4 Clinical Prediction Rules
  Prognosis
  20 Prognosis
  21 Advanced Topics in Prognosis
  21.1 How to Use an Article About Genetic Association
  Summarizing the Evidence
  22 The Process of a Systematic Review and Meta-analysis
  23 Understanding and Applying the Results of a Systematic Review and Meta-analysis
  24 Network Meta-analysis
  25 Advanced Topics in Systematic Reviews
  25.1 Fixed-Effects and Random-Effects Models
  25.2 How to Use a Subgroup Analysis
  Moving From Evidence to Action
  26 How to Use a Patient Management Recommendation: Clinical Practice Guidelines and Decision Analyses
  27 Decision Making and the Patient
  28 Advanced Topics in Moving From Evidence to Action
  28.1 Assessing the Strength of Recommendations: The GRADE Approach
  28.2 Economic Analysis
  28.3 Recommendations About Screening
  28.4 Understanding Class Effects
  28.5 Evidence-Based Practitioners and Evidence-Based Care
  29 Teachers' Guides to the Users' Guides
  Glossary
  Index