Translational Cardiology
by Jeffrey A. Bakal, Michael Gibson, Adam E.M. Eltorai
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780323917902 |
| eText ISBN | 9780323986106 |
| Publisher | Academic Press |
| Publishing Year | 2025 |
| Edition | 1st Edition |
| Language | English |
Translational Cardiology, 1st Edition, is a handbook published by Academic Press that serves as an instructional guide specific to cardiology and translational medical research. The volume addresses the systematic methodology required to link laboratory scientific findings with clinical investigation. It provides structured guidance for organizing medical research projects within the field of cardiovascular science.
The text covers principles of evidence-based medicine applied when designing translational cardiovascular research. Furthermore, the volume details discussions focusing on the critical appraisal of published cardiology studies. These analytical sections assist investigators in evaluating research data, assessing study methodologies, and constructing rigorous clinical trial protocols.
Edited by Jeffrey A. Bakal, Michael Gibson, and Adam E.M. Eltorai, this handbook delivers instructional support across academic research settings and clinical research environments. The work aids medical investigators who examine cardiovascular interventions and seek to implement structured, evidence-based study protocols within their ongoing scientific projects.
Table of Contents
Chapter 1: Introduction
Chapter 2: Translational Process
Chapter 3: Scientific Method
Chapter 4: Basic Research
Chapter 5: Overview of Preclinical Research
Chapter 6: What problem are you Solving?
Chapter 7: Types of Structural Interventions
Chapter 8: Drug discovery
Chapter 9: Drug Testing
Chapter 10: Device Testing
Chapter 11: Diagnostic Discovery
Chapter 12: Diagnostic Testing
Chapter 13: Other product types
Chapter 14: Procedural Technique Development
Chapter 15: Behavioral Intervention
Chapter 16: Introduction to clinical research: What is it? Why is it needed?
Chapter 17: The question: Types of research questions and how to develop them
Chapter 18: Study population: Who and why them?
Chapter 19: Outcome measurements: What data is being collected and why?
Chapter 20: Optimizing the Question: Balancing Significance and Feasibility
Chapter 21: Common issues in analysis
Chapter 22: Basic statistical principles
Chapter 23: Distributions
Chapter 24: Hypotheses and error types
Chapter 25: Power
Chapter 26: Regression
Chapter 27: Continuous Variable Analyses: Student's t-test, Mann-Whitney U Test, Wilcoxon Signed-Rank Test
Chapter 28: Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel
Chapter 29: Analysis of variance
Chapter 30: Correlation
Chapter 31: Biases
Chapter 32: Basic science statistics
Chapter 33: Sample Size
Chapter 34: Statistical Software
Chapter 35: Design principles: Hierarchy of study types
Chapter 36: Case series: Design, measures, classic example
Chapter 37: Case-control study: Design, measures, classic example
Chapter 38: Cohort study: Design, measures, classic example
Chapter 39: Cross-section study: Design, measures, classic example
Chapter 40: Longitudinal Study: Design, Measures, Classic Example
Chapter 41: Meta-analysis: Design, measures, classic example
Chapter 42: Cost-effectiveness study: Design, measures, classic example
Chapter 43: Diagnostic test evaluation: Design, measures, classic example
Chapter 44: Reliability study: Design, measures, classic example
Chapter 45: Database studies: Design, measures, classic example
Chapter 46: Surveys and questionnaires: Design, measures, classic example
Chapter 47: Qualitative methods and mixed methods
Chapter 48: Randomized control: Design, measures, classic example
Chapter 49: Nonrandomized control: Design, measures, classic example
Chapter 50: Historical control: Design, measures, classic example
Chapter 51: Cross-over: Design, measures, classic example
Chapter 52: Withdrawal studies: Design, measures, classic example
Chapter 53: Factorial design: Design, measures, classic example
Chapter 54: Group allocation: Design, measures, classic example
Chapter 55: Hybrid design: Design, measures, classic example
Chapter 56: Large, pragmatic: Design, measures, classic example
Chapter 57: Equivalence and noninferiority: Design, measures, classic example
Chapter 58: Adaptive: Design, measures, classic example
Chapter 59: Blinding: Who and how?
Chapter 60: Phases of Clinical Trials
Chapter 61: IDEAL Framework
Chapter 62: Patient Perspectives
Chapter 63: Budgeting
Chapter 64: Ethics and review boards
Chapter 65: Regulatory considerations for new drugs and devices
Chapter 66: Funding approaches
Chapter 67: Conflicts of Interest
Chapter 68: Subject recruitment
Chapter 69: Data management
Chapter 70: Quality control
Chapter 71: Research in Acute Settings
Chapter 72: Special Populations
Chapter 73: Report forms: Harm and Quality of Life
Chapter 74: Subject adherence
Chapter 75: Survival analysis
Chapter 76: Monitoring committee in clinical trials
Chapter 77: FDA overview
Chapter 78: IND/New Drug Application
Chapter 79: Radiation-Emitting Electronic Products
Chapter 80: Orphan Drugs
Chapter 81: Combination Products
Chapter 82: CMC and GxP
Chapter 83: Non-US Regulatory
Chapter 84: Post-Market Drug Safety Monitoring
Chapter 85: Post-Market Device Safety Monitoring
Chapter 86: Implementation Research
Chapter 87: Design and Analysis
Chapter 88: Mixed-Methods Research
Chapter 89: Population- and Setting-Specific Implementation
Chapter 90: Guideline Development
Chapter 91: Public Health
Chapter 92: Epidemiology
Chapter 93: Factors
Chapter 94: Good Questions
Chapter 95: Population- and Environmental-Specific Considerations
Chapter 96: Law, Policy, and Ethics
Chapter 97: Healthcare Institutions and Systems
Chapter 98: Public Health Institutions and Systems
Chapter 99: Presenting Data
Chapter 100: Manuscript Preparation
Chapter 101: Promoting Research
Chapter 102: Quality Improvement
Chapter 103: Team Science and Building a Team
Chapter 104: Patent Basics
Chapter 105: SBIR/STTR
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