Translational Surgery (eBook, ePUB)

Redaktion: Eltorai, Adam E. M.

• Format: ePub

Produktbeschreibung

Translational Surgery covers the principles of evidence-based medicine and applies these principles to the design of translational investigations. The reader will come to fully understand important concepts including case-control studies, prospective cohort studies, randomized trials, and reliability studies. Investigators will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in surgical research, and know what is needed for collaboration. Further, this title is an indispensable tool in grant writing and funding efforts. The practical, straightforward approach helps the translational research navigate challenging considerations in study design and implementation. The book provides valuable discussions of the critical appraisal of published studies in surgery, allowing the reader to learn how to evaluate the quality of such studies. Thus, they will improve at measuring outcomes; making effective use of all types of evidence in patient care. In short, this practical guidebook will be of interest to every surgeon or surgical researcher who has ever had a good clinical idea, but not the knowledge of how to test it.

• Focuses on translational research in Surgery, covering the principles of evidence-based medicine and applying those principles to the design of translational investigations
• Provides a practical, straightforward approach to help surgeons and researchers navigate challenging aspects of study design and implementation
• Details valuable discussions on the critical appraisal of published studies in Surgery, allowing the reader to effectively use all types of evidence for patient care

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 768
• Erscheinungstermin: 22. März 2023
• Englisch
• ISBN-13: 9780323906302
• Artikelnr.: 67658865

Inhaltsangabe

1. Introduction
2. Translational Process
3. Scientific Method
4. Basic Research Pre-Clinical 5. Overview of Preclinical Research
6. What Problem Are You Solving?
7. Types of Interventions
8. Drug Discovery
9. Drug Testing
10. Device Discovery and Prototyping
11. Medical Device Testing
12. Diagnostic Discovery
13. Diagnostic Testing
14. Other Product Types
15. Procedural Technique Development
16. Behavioral Intervention Clinical: Fundamentals 17. Introduction to Clinical Research: What is it? Why is it needed?
18. The Question: Types of Research Questions and How to Develop Them
19. Study Population: Who and why them?
20. Outcome Measurements: What data is being collected and why?
21. Optimizing the question: Balancing significance and feasibility Statistical Principles
22. Basic Statistical Principles
23. Distributions
24. Hypotheses and Error Types
25. Power
26. Regression
27. Continuous Variable Analyses: T-test, Man Whitney, Wilcoxon Rank
28. Categorical Variable Analyses: Chi-Square, fisher exact, Mantel Hanzel
29. Analysis of Variance
30. Correlation
31. Biases
32. Basic Science Statistics Clinical: Study Types 33. Design Principles: Hierarchy of Study Types
34. Case Series: Design, Measures, Classic Example
35. Case-Control: Design, Measures, Classic Example
36. Cohort Study: Design, Measures, Classic Example
37. Cross-Section Study: Design, Measures, Classic Example
38. Longitudinal Study: Design, Measures, Classic Example
39. Clinical Trials: Design, Measures, Classic Example
40. Meta-Analysis: Design, Measures, Classic Example
41. Cost-Effectiveness Study: Design, Measures, Classic Example
42. Diagnostic Test Evaluation: Design, Measures, Classic Example
43. Reliability Study: Design, Measures, Classic Example
44. Database Studies: Design, Measures, Classic Example
45. Surveys and Questionnaires: Design, Measures, Classic Example
46. Qualitative Methods and Mixed Methods Clinical Trials 47. Randomized Control: Design, Measures, Classic Example
48. Nonrandomized Control: Design, Measures, Classic Example
49. Historical Control: Design, Measures, Classic Example
50. Cross-Over: Design, Measures, Classic Example
51. Withdrawal Studies: Design, Measures, Classic Example
52. Factorial Design: Design, Measures, Classic Example
53. Group Allocation: Design, Measures, Classic Example
54. Hybrid Design: Design, Measures, Classic Example
55. Large, Pragmatic: Design, Measures, Classic Example
56. Equivalence and Noninferiority: Design, Measures, Classic Example
57. Adaptive: Design, Measures, Classic Example
58. Randomization: Fixed or Adaptive Procedures
59. Blinding: Who and How?
60. Multicenter Considerations
61. Registries
62. Phases of Clinical Trials
63. IDEAL Framework
64. Artificial Intelligence
65. Patient Perspectives Clinical: Preparation 66. Sample Size
67. Budgeting
68. Medical Ethics and Review Boards
69. Regulatory Considerations for New Drugs and Devices
70. Funding Approaches
71. Subject Recruitment
72. Data Management
73. Quality Control
74. Statistical Software
75. Report Forms: Harm and Quality of Life
76. Subject Adherence
77. Survival Analysis
78. Monitoring Committee in Clinical Trials Regulatory Basics 79. FDA Overview
80. IND
81. New Drug Application
82. Devices
83. Radiation-emitting Electronic Products
84. Orphan Drugs
85. Biologics
86. Combination Products
87. Foods
88. Cosmetics
89. Non-US Regulatory Clinical Implementation 90. Implementation Research
91. Design and Analysis
92. Population and Setting Specific Implementation Public Health 93. Public Health
94. Epidemiology
95. Factors in Surgical Public Health and Health Disparities Research
96. Good Questions
97. Population and Environmental Specific Considerations
98. Law, Policy, and Ethics
99. Healthcare Institutions and Systems
100. Public Health Institutions and Systems Practical Resources 101. Presenting Data
102. Manuscript Preparation
103. Building a Team
104. Patent Basics
105. Venture Pathways
106. SBIR/STTR
107. Sample Forms and Templates