Translational Cardiology
Published on 20. January 2025
Book
Paperback/Softback
618 pages
978-0-323-91790-2 (ISBN)
Description
Translational Cardiology provides a cardiology-specific instructional guide to translational medical research that will serve as a practical, step-by-step roadmap for taking a biomedical device, potential therapeutic agent, or research question from idea through demonstrated clinical benefit. Fundamentally, the volume aims to help bridge the gap between current research and practice. Written by a team of expert medical, biomedical engineering, and clinical research experts in cardiology, this book provides a clear process for understanding, designing, executing, and analyzing clinical and translational research.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 279 mm
Width: 216 mm
Thickness: 32 mm
Weight
1412 gr
ISBN-13
978-0-323-91790-2 (9780323917902)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jeffrey A. Bakal | Michael Gibson | MD Eltorai
Translational Cardiology
E-Book
02/2025
Elsevier
€143.00
Available for download
Persons
Dr Jeff Bakal PhD, P.Stat. is the Program Director for Provincial Research Data Services at Alberta Health Services which operates the Alberta Strategy for Patient Oriented Research (SPOR) data platform and Health Service Statistical & Analytics Methods teams. He has over 10 years of experience working with Health Services data and Randomized Clinical Trials. He completed his PhD jointly with the Department of Mathematics and Statistics and the School of Physical Health and Education at Queen's University. He has worked on the methodology and analysis of several international studies in business strategy, ophthalmology, cardiology, geriatric medicine and the analysis of kinematic data resulting in several peer reviewed articles and conference presentations. His current interests are in developing statistical methodology for time-to-event data and the development of classification tools to assist in patient decision making processes. C. Michael Gibson, M.S., M.D. is an interventional cardiologist, cardiovascular researcher and educator who pioneered our understanding of the "open artery hypothesis" as well our understanding of the importance of restoring flow downstream in the capillary bed in the "open microvasculature hypothesis" in heart attack. Gibson has been a leading investigator in trials of thrombolytic agents, glycoprotein 2b3a inhibitor agents, thienopyridines, factor Xa inhibitors, lipid lowering agents and new devices. Gibson was named one of the world's most widely published and cited scientists of past decade in 2014 by Thomson Reuters.
For years, Gibson has been chosen as one of Boston's Top Doctors & U.S. News & World Report also lists Gibson as one of America's top doctors. He has held numerous leadership positions in medicine including positions as a Coronary Care Unit Director, a Cardiac Catheterization Laboratory Director, a Chief of Cardiology and as a Vice Chairman of Medicine.
Dr Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.
For years, Gibson has been chosen as one of Boston's Top Doctors & U.S. News & World Report also lists Gibson as one of America's top doctors. He has held numerous leadership positions in medicine including positions as a Coronary Care Unit Director, a Cardiac Catheterization Laboratory Director, a Chief of Cardiology and as a Vice Chairman of Medicine.
Dr Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.
Content
Section 1. INTRODUCTION
1. Introduction; 2. Translational Process; 3. Scientific Method; 4. Basic Research
Section 2: PRE-CLINCIAL: DISCOVERY & DEVELOPMENT
5. Overview of Preclinical Research; 6. What problem are you Solving?; 7. Types of Structural Interventions; 8. Drug discovery; 9. Drug Testing; 10. Device Testing; 11. Diagnostic Discovery; 12. Diagnostic Testing; 13. Other product types; 14. Procedural Technique Development; 15. Behavioral Intervention
Section 3: CLINICAL: FUNDAMENTALS
16. Introduction to clinical research: What is it? Why is it needed?; 17. The question: Types of research questions and how to develop them; 18. Study population: Who and why them?; 19. Outcome measurements: What data is being collected and why?; 20. Optimizing the Question: Balancing Significance and Feasibility
Section 4: STATISTICAL PRINCIPLES
21. Common issues in analysis; 22. Basic statistical principles; 23. Distributions; 24. Hypotheses and error types; 25. Power; 26. Regression; 27. Continuous Variable Analyses: Student's t-test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test; 28. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel; 29. Analysis of variance; 30. Correlation; 31. Biases; 32. Basic science statistics; 33. Sample Size; 34. Statistical Software
Section 5: CLINICAL: STUDY TYPES
35. Design principles: Hierarchy of study types; 36. Case series: Design, measures, classic example; 37. Case-control study: Design, measures, classic example; 38. Cohort study: Design, measures, classic example; 39. Cross-section study: Design, measures, classic example; 40. Longitudinal Study: Design, Measures, Classic Example; 41. Meta-analysis: Design, measures, classic example; 42. Cost-effectiveness study: Design, measures, classic example; 43. Diagnostic test evaluation: Design, measures, classic example; 44. Reliability study: Design, measures, classic example; 45. Database studies: Design, measures, classic example; 46. Surveys and questionnaires: Design, measures, classic example; 47. Qualitative methods and mixed methods
Section 6: CLINICAL TRIALS
48. Randomized control: Design, measures, classic example; 49. Nonrandomized control: Design, measures, classic example; 50. Historical control: Design, measures, classic example; 51. Cross-over: Design, measures, classic example; 52. Withdrawal studies: Design, measures, classic example; 53. Factorial design: Design, measures, classic example; 54. Group allocation: Design, measures, classic example; 55. Hybrid design: Design, measures, classic example; 56. Large, pragmatic: Design, measures, classic example; 57. Equivalence and noninferiority: Design, measures, classic example; 58. Adaptive: Design, measures, classic example; 59. Blinding: Who and how?; 60. Phases of Clinical Trials; 61. IDEAL Framework
Section 7: CLINICAL: PREPARATION
62. Patient Perspectives; 63. Budgeting; 64. Ethics and review boards; 65. Regulatory considerations for new drugs and devices; 66. Funding approaches; 67. Conflicts of Interest; 68. Subject recruitment; 69. Data management; 70. Quality control; 71. Research in Acute Settings; 72. Special Populations; 73. Report forms: Harm and Quality of Life; 74. Subject adherence; 75. Survival analysis; 76. Monitoring committee in clinical trials
Section 8: REGULATORY BASICS
77. FDA overview; 78. IND/New Drug Application; 79. Radiation-Emitting Electronic Products; 80. Orphan Drugs; 81. Combination Products; 82. CMC and GxP; 83. Non-US Regulatory; 84. Post-Market Drug Safety Monitoring; 85. Post-Market Device Safety Monitoring
Section 9: CLINICAL IMPLEMENTATION
86. Implementation Research; 87. Design and Analysis; 88. Mixed-Methods Research; 89. Population- and Setting-Specific Implementation; 90. Guideline Development
Section 10: PUBLIC HEALTH
91. Public Health; 92. Epidemiology; 93. Factors; 94. Good Questions; 95. Population- and Environmental-Specific Considerations; 96. Law, Policy, and Ethics; 97. Healthcare Institutions and Systems; 98. Public Health Institutions and Systems
Section 11: PRACTICAL RESOURCES
99. Presenting Data; 100. Manuscript Preparation; 101. Promoting Research; 102. Quality Improvement; 103. Team Science and Building a Team; 104. Patent Basics; 105. SBIR/STTR
1. Introduction; 2. Translational Process; 3. Scientific Method; 4. Basic Research
Section 2: PRE-CLINCIAL: DISCOVERY & DEVELOPMENT
5. Overview of Preclinical Research; 6. What problem are you Solving?; 7. Types of Structural Interventions; 8. Drug discovery; 9. Drug Testing; 10. Device Testing; 11. Diagnostic Discovery; 12. Diagnostic Testing; 13. Other product types; 14. Procedural Technique Development; 15. Behavioral Intervention
Section 3: CLINICAL: FUNDAMENTALS
16. Introduction to clinical research: What is it? Why is it needed?; 17. The question: Types of research questions and how to develop them; 18. Study population: Who and why them?; 19. Outcome measurements: What data is being collected and why?; 20. Optimizing the Question: Balancing Significance and Feasibility
Section 4: STATISTICAL PRINCIPLES
21. Common issues in analysis; 22. Basic statistical principles; 23. Distributions; 24. Hypotheses and error types; 25. Power; 26. Regression; 27. Continuous Variable Analyses: Student's t-test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test; 28. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel; 29. Analysis of variance; 30. Correlation; 31. Biases; 32. Basic science statistics; 33. Sample Size; 34. Statistical Software
Section 5: CLINICAL: STUDY TYPES
35. Design principles: Hierarchy of study types; 36. Case series: Design, measures, classic example; 37. Case-control study: Design, measures, classic example; 38. Cohort study: Design, measures, classic example; 39. Cross-section study: Design, measures, classic example; 40. Longitudinal Study: Design, Measures, Classic Example; 41. Meta-analysis: Design, measures, classic example; 42. Cost-effectiveness study: Design, measures, classic example; 43. Diagnostic test evaluation: Design, measures, classic example; 44. Reliability study: Design, measures, classic example; 45. Database studies: Design, measures, classic example; 46. Surveys and questionnaires: Design, measures, classic example; 47. Qualitative methods and mixed methods
Section 6: CLINICAL TRIALS
48. Randomized control: Design, measures, classic example; 49. Nonrandomized control: Design, measures, classic example; 50. Historical control: Design, measures, classic example; 51. Cross-over: Design, measures, classic example; 52. Withdrawal studies: Design, measures, classic example; 53. Factorial design: Design, measures, classic example; 54. Group allocation: Design, measures, classic example; 55. Hybrid design: Design, measures, classic example; 56. Large, pragmatic: Design, measures, classic example; 57. Equivalence and noninferiority: Design, measures, classic example; 58. Adaptive: Design, measures, classic example; 59. Blinding: Who and how?; 60. Phases of Clinical Trials; 61. IDEAL Framework
Section 7: CLINICAL: PREPARATION
62. Patient Perspectives; 63. Budgeting; 64. Ethics and review boards; 65. Regulatory considerations for new drugs and devices; 66. Funding approaches; 67. Conflicts of Interest; 68. Subject recruitment; 69. Data management; 70. Quality control; 71. Research in Acute Settings; 72. Special Populations; 73. Report forms: Harm and Quality of Life; 74. Subject adherence; 75. Survival analysis; 76. Monitoring committee in clinical trials
Section 8: REGULATORY BASICS
77. FDA overview; 78. IND/New Drug Application; 79. Radiation-Emitting Electronic Products; 80. Orphan Drugs; 81. Combination Products; 82. CMC and GxP; 83. Non-US Regulatory; 84. Post-Market Drug Safety Monitoring; 85. Post-Market Device Safety Monitoring
Section 9: CLINICAL IMPLEMENTATION
86. Implementation Research; 87. Design and Analysis; 88. Mixed-Methods Research; 89. Population- and Setting-Specific Implementation; 90. Guideline Development
Section 10: PUBLIC HEALTH
91. Public Health; 92. Epidemiology; 93. Factors; 94. Good Questions; 95. Population- and Environmental-Specific Considerations; 96. Law, Policy, and Ethics; 97. Healthcare Institutions and Systems; 98. Public Health Institutions and Systems
Section 11: PRACTICAL RESOURCES
99. Presenting Data; 100. Manuscript Preparation; 101. Promoting Research; 102. Quality Improvement; 103. Team Science and Building a Team; 104. Patent Basics; 105. SBIR/STTR