Translational Plastic Surgery
by Adam E.M. Eltorai, Jeffrey A. Bakal, Paul Liu, Loree Kalliainen, Jung Ho Gong
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780323911689 |
| eText ISBN | 9780323998123 |
| Publisher | Academic Press |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
Translational Plastic Surgery, 1st Edition, functions as a handbook dedicated to integrating the principles of evidence-based medicine into research design within plastic surgery. The publication provides a structured, practical framework to assist clinical and basic investigators in navigating complex methodological considerations when converting laboratory discoveries into clinical practice.
The volume organizes its thematic scope across early preclinical project development stages and quantitative evaluation methods. Preclinical sections examine drug discovery, device prototyping, and diagnostic testing procedures. Subsequent chapters detail statistical principles, explaining distributions, hypothesis testing, statistical power calculations, regression analysis, correlation, and analysis of variance to support data management and empirical planning.
Another major element of the text focuses on outcome measurement evaluation and the critical appraisal of published research studies within translational plastic surgery. By guiding investigators through these analytical frameworks, the handbook aids researchers in constructing valid study protocols and managing project workflows across clinical and laboratory research environments.
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 interventions
Chapter 8: Drug discovery
Chapter 9: Drug testing
Chapter 10: Device discovery and prototyping
Chapter 11: Device testing
Chapter 12: Diagnostic discovery
Chapter 13: Diagnostic testing
Chapter 14: Other product types
Chapter 15: Procedural technique development
Chapter 16: Behavioral intervention
Chapter 17: Introduction to clinical research: What is it? Why is it needed?
Chapter 18: The question: Types of research questions and how to develop them
Chapter 19: Study population: Who and why them?
Chapter 20: Outcome measurements: What data is being collected and why?
Chapter 21: Optimizing the question: Balancing significance and feasibility
Chapter 22: Common issues in analysis
Chapter 23: Basic statistical principles
Chapter 24: Distributions
Chapter 25: Hypotheses and error types
Chapter 26: Power
Chapter 27: Regression
Chapter 28: Continuous variable analyses: t-test, Man Whitney, Wilcoxin rank
Chapter 29: Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel
Chapter 30: Analysis of variance
Chapter 31: Correlation
Chapter 32: Biases
Chapter 33: Basic science statistics
Chapter 34: Design principles: Hierarchy of study types
Chapter 35: Case series: Design, measures, classic example
Chapter 36: Case-control study: Design, measures, classic example
Chapter 37: Cohort study: Design, measures, classic example
Chapter 38: Cross-section study: Design, measures, classic example
Chapter 39: Longitudinal study: Design, measures, classic example
Chapter 40: Clinical trials: 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: Randomization: Fixed or adaptive procedures
Chapter 60: Blinding: Who and how?
Chapter 61: Multicenter considerations
Chapter 62: Registries
Chapter 63: Phases of clinical trials
Chapter 64: IDEAL Framework
Chapter 65: Artificial Intelligence
Chapter 66: Patient perspectives
Chapter 67: Sample size
Chapter 68: Budgeting
Chapter 69: Ethics and review boards
Chapter 70: Regulatory considerations for new drugs and devices
Chapter 71: Funding approaches
Chapter 72: Subject recruitment
Chapter 73: Data management
Chapter 74: Quality control
Chapter 75: Statistical software
Chapter 76: Report forms: Harm and Quality of Life
Chapter 77: Subject adherence
Chapter 78: Survival analysis
Chapter 79: Monitoring committee in clinical trials
Chapter 80: FDA overview
Chapter 81: IND
Chapter 82: New drug application
Chapter 83: Devices
Chapter 84: Radiation-emitting electronic products
Chapter 85: Orphan drugs
Chapter 86: Biologics
Chapter 87: Combination products
Chapter 88: Foods
Chapter 89: Cosmetics
Chapter 90: CMC and GxP
Chapter 91: Non-US regulatory
Chapter 92: Post-Market Drug Safety Monitoring
Chapter 93: Post-Market Device Safety Monitoring
Chapter 94: Implementation Research
Chapter 95: Design and analysis
Chapter 96: Mixed-methods research
Chapter 97: Population- and setting-specific implementation
Chapter 98: Public Health
Chapter 99: Epidemiology
Chapter 100: Factors
Chapter 101: Good questions
Chapter 102: Population- and environmental-specific considerations
Chapter 103: Law, policy, and ethics
Chapter 104: Healthcare institutions and systems
Chapter 105: Public health institutions and systems
Chapter 106: Presenting data
Chapter 107: Manuscript preparation
Chapter 108: Building a team
Chapter 109: Patent basics
Chapter 110: Venture pathways
Chapter 111: SBIR/STTR
Chapter 112: Sample forms and templates
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▶Research Sources (13)
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- Translational Plastic Surgery
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- Translational Plastic Surgery by Eltorai | 9780323911689
- Translational Plastic Surgery