Translational Sports Medicine

Translational Sports Medicine 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 study, prospective cohort study, randomized trial, and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in translational sports medicine, and know what is needed in collaboration. Further, this title is an indispensable tool in grant writing and funding efforts. The practical, straightforward approach helps the aspiring investigator navigate challenging considerations in study design and implementation. The book provides valuable discussions of the critical appraisal of published studies in translational sports medicine, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care. In short, this practical guidebook will be of interest to every medical researcher or sports medicine clinician who has ever had a good clinical idea but not the knowledge of how to test it. Focuses on the principles of evidence-based medicine and applies these principles to translational investigations within sports medicine Details discussions of the critical appraisal of published studies in translational sports medicine, supporting evaluation with respect to measuring outcomes and making effective use of all types of evidence in patient care Written by experts in the sports medicine field INDICE: PART I: INTRODUCTION1 IntroductionEltorai, Brigham & Women's 2 Translational ProcessMichael G. Ciccotti, Rothman Institute 3 Scientific MethodAdam Blair Yanke, Rush 4 Basic ResearchJames J. Irrgang, Pitt PART II: PRE-CLINICAL 5 Overview of preclinical researchHollis G. Potter, Hospital for Special Surgery 6 What Problem Are You Solving?Kurt P. Spindler, Cleveland Clinic 7 Types of InterventionsMary Lloyd Ireland, U Kentucky 8 Drug DiscoveryMark Miller, UVA 9 Drug TestingLarry S. Bowman, Blue Ridge 10 Device Discovery and PrototypingRobert Burks, U Utah 11 Device TestingBrian D. Busconi, U Mass 12 Diagnostic DiscoveryAndrew J. Cosgarea, Hopkins 13 Diagnostic TestingEric McCarty, U Colorado 14 Other Product TypesGeorge J. Davies, Georgia Southern U 15 Procedural Technique DevelopmentJames Bradley, Pitt 16 Behavioral InterventionDavid R. Diduch, UVA PART III: CLINICAL: FUNDAMENTALS 17 Introduction to Clinical Research: What is it? Why is it Needed?Neal S. ElAttrache, Kerlan-Jobe 18 The Question: Types of Research question and How to Develop ThemJohn D. Kelly, U Penn 19 Study Population: Who and Why Them?Michael D. Maloney, U Rochester 20 Outcome Measurements: What data is being Collected and Why?E. Lyle Cain, Jr., Andrews Sports Medicine and Orthopedic Center 21 Optimizing the Question: Balancing Significance and FeasibilityAugustus D. Mazzocca, UConn PART IV: CLINICAL TRIALS 22 Common Issues in AnalysisAlan M. Getgood, U Western Ontario 23 Basic Statistical PrinciplesNiCole Keith, Indiana University 24 DistributionsMartha M. Murray, Boston Children's CH25 Hypotheses and Error TypesKurt P. Spindler, Cleveland Clinic 26 PowerMichael J. Stuart, Mayo 27 RegressionCassandra A. Lee, UC Davis 28 Continuous Variable Analyses: T-Test, Man Whitney, Wilcoxin RankEdward R. McDevitt, Annapolis Hand Center 29 Categorical Variable Analyses: Chi-square, Fisher Exact, Mantel HanzelVishal Mehta, Fox Valley 30 Analysis of VarianceL. Bruce Gladden, Auburn University 31 CorrelationKeith Kenter, Wester Michigan U 32 BiasesAlfred Atanda, Dupont Hospital for Children 33 Basic Science StatisticsOladapo Michael Babatunde, City Orthopedics and Sports Medicine  PART V: CLINICAL: STUDY TYPES 34 Design Principles: Hierarchy of Study TypesBrandon J. Bryant, Inova 35 Case Series: Design, Measures, Classic ExampleBruce Reider, American Orthopedic Society for Sports Medicine 36 Case-control Study: Design, Measures, Classic ExampleWilliam Kraus, Duke 37 Cohort Study: Design, Measures, Classic ExampleCharles Bush-Joseph, Rush 38 Cross-section Study: Design, Measures, Classic ExampleKatherine J. Coyner, UConn 39 Longitudinal Study: Design, Measures, Classic ExampleRobert A. Arciero, UConn 40 Clinical Trials: Design, Measures, Classic ExampleKathryn Schmitz, Penn State 41 Meta-analysis: Design, Measures, Classic ExampleGrant L. Jones, Ohio State 42 Cost-effectiveness Study: Design, Measures, Classic ExampleElizabeth A. Arendt, U Minnesota 43 Diagnostic Test Evaluation: Design, Measures, Classic ExampleMichael T. Freehill, Stanford 44 Reliability Study: Design, Measures, Classic ExampleAnastasia Fischer, Ohio State University 45 Database Studies: Design, Measures, Classic ExampleAshley Bee Anderson, Walter Reed 46 Surveys and Questionnaires: Design, Measures, Classic ExampleKevin Vincent, University of Florida 47 Qualitative Methods and Mixed MethodsJo A. Hannafin, Hospital for Special Surgery PART VI: CLINICAL: TRIALS 48 Randomized Control: Design, Measures, Classic ExampleKarin Allor Pfeiffer, Michigan Sate 49 Nonrandomized Control: Design, Measures, Classic ExampleChamp L. Baker, Hughston Clinic 50 Historical Control: Design, Measures, Classic ExampleEdward M. Wojtys, UMich 51 Cross-over: Design, Measures, Classic ExampleMindy Millard-Stafford, Georgia Institute of Technology 52 Withdrawal Studies: Design, Measures, Classic ExampleAsheesh Bedi, U Mich 53 Factorial Design: Design, Measures, Classic ExampleOlivia Affuso, University of Alabama 54 Group Allocation: Design, Measures, Classic ExampleMichael Baria, Ohio State 55 Hybrid Design: Design, Measures, Classic ExampleAman Dhawan, Penn State 56 Large, Pragmatic: Design, Measures, Classic ExampleRobert H. Brophy, Wash U 57 Equivalence and Noninferiority: Design, Measures, Classic ExampleBrandon J. Erickson, Rothman 58 Adaptive: Design, Measures, Classic ExampleJorge Chahla, Rush 59 Randomization: Fixed or Adaptive ProceduresJonathan David Gelber, Conn Children's CH60 Blinding: Who and How?Randhir Mascarenhas, U Texas 61 Multicenter ConsiderationTimothy Lee Miller, Ohio State 62 RegistriesJonathan F. Dickens, Walter Reed 63 Phases of Clinical TrialsMarcas Bamman, University of Alabama 64 IDEAL FrameworkTheodore B. Shybut, Baylor 65 Artificial IntelligenceAustin V. Stone, U Kentucky 66 Patient PerspectivesRobert W. Westermann, U Iowa  VII. CLINICAL PREPARATION 67 Sample SizeStephen F. Brockmeier, UVA 68 BudgetingBrandon J. Erickson, Rothman 69 Ethics and Review BoardsGeoffrey Scott Baer, U Wisc 70 Regulatory Considerations for New Drugs and DevicesMolly Conroy, University of Utah 71 Funding ApproachesKelly Evenson, University of North Carolina 72 Subject RecruitmentMichael B. Banffy, Kerlan-Jobe 73 Data ManagementRachel M. Frank, U Colorado 74 Quality ControlMichael Christopher Ciccotti, Northwestern 75 Statistical SoftwareThomas M. DeBerardino, San Antonio Ortho 76 Report Forms: Harm and Quality of LifeMargo Mountjoy, McMaster University 77 Subject AdherenceJorunn Sundgot-Borgen, Norwegian School of Sport Sciences 78 Survival AnalysisScott Paluska, University of Illinois 79 Monitoring Committee in Clinical TrialsKevin B. Freedman, RothmanVIII. REGULATORY BASICS 80 FDA OverviewBrian Forsythe, Rush 81 INDThomas Trojian, Drexel 82 New Drug ApplicationJan Fronek, Scripps 83 DevicesThomas J. Kremen, UCLA 84 Radiation-emitting Electronic ProductsDrew A. Lansdown, UCSF 85 Orphan DrugsSommer Hammoud, Rothman 86 BiologicsThay Q. Lee, Congress Medical Associates 87 Combination ProductsBrian C. Lau, Duke 88 FoodsAlbert Lin, Pitt 89 CosmeticsMatthew J. Matava, Wash U 90 CMC and GxPCraig S. Mauro, Pitt 91 Non-US RegulatoryChunbong Benjamin Ma, UCSF 92 Post-Market Drug Safety MonitoringTimothy Lee Miller, Ohio State 93 Post-Market Device Safety MonitoringBradley J. Nelson, TriaIX. CLINICAL IMPLEMENTATION 94 Implementation ResearchRichard Ma, U Missouri 95 Design and AnalysisEric C. Makhni, Henry Ford Hospital 96 Mixed-methods ResearchOllie Jay, University of Sydney 97 Population and Setting Specific ImplementationAshish M. Rawal, Ortho Team Clinic X. PUBLIC HEALTH 98 Public HealthMary K. Mulcahey, Tulane 99 EdpidemiologyJeffrey J. Nepple, Wash U 100 FactorsBarry Braun, Colorado State 101 Good QuestionsLuke S. Oh, MGH 102 Population and Environmental Specific ConsiderationsJorge Franchella, University of Buenos Aires 103 Law, Policy, and EthicsRobert L. Parisien, Pennsylvania Hospital 104 Healthcare Institutions and SystemsRebecca Hasson, University of Michigan 105 Public Health Institutions and SystemsMark W. Rodosky, Pitt APPENDIX 106 Presenting DataHeather Hays Betz, Albion College 107 Manuscript PreparationAndrew J. Sheean, San Antonio Military Medical Center 108 Building a TeamLanay Mudd, National Institutes of Health 109 Patent BasicsKaren Michelle Sutton, Hospital for Special Surgery 110 Venture PathwaysJonathan C. Riboh, Duke 111 SBIR/STTRBrian Robert Waterman, Wake Forest 112 Sample Forms and TemplatesBrian C. Werner, UVA

• ISBN: 978-0-323-91259-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 700
• Fecha Publicación: 01/08/2023
• Nº Volúmenes: 1
• Idioma: Inglés