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Essential Concepts in Clinical Research

Essential Concepts in Clinical Research

Kenneth Schulz | David A. Grimes

(2018)

Additional Information

Book Details

Abstract

This practical guide speaks to two audiences: those who read and those who conduct research. Clinicians are medical detectives by training. For each patient, they assemble clinical clues to establish causes of signs and symptoms. The task involves both clinical acumen and knowledge of medical research. This book helps guide clinicians through this detective work, by enabling them to make sense of research and to review medical literature critically. It will also be invaluable to researchers who conduct clinical research, particularly randomized controlled trials.

Building on previously published, peer-reviewed articles from The Lancet, this handbook is essential for busy clinicians and active researchers interested in research methods.

  • Written by leaders in the field of clinical research who have published extensively with authorship of hundreds of articles in medical journals.
  • The authorship includes one of the three authors of the CONSORT guidelines for the reporting of randomized controlled trials.
  • The book presents the essential concepts to a wide array of topics including randomized control trials, descriptive studies, cohort studies, case-control studies, bias, and screening tests.
  • The book utilises a readable and humorous prose style, lightening what can be a difficult area for clinical readers.
  • Derived from decades of teaching clinical research in seminar settings the book will empower clinicians to make sense of, and critically appraise, current medical research and will enable researchers to enrich the quality of their work.

The updated new edition includes six new chapters:

  • Surrogate endpoints
  • Limitations of observational epidemiology
  • Participant recruitment
  • Practicalities of double-blinding
  • Randomized trials in the context of a prospective meta-analysis
  • Reporting studies in medical journals: CONSORT

Table of Contents

Section Title Page Action Price
Front Cover Cover
Inside Front Cover ES2
Essential Concepts in Clinical Research: Randomised Controlled Trials and Observational Epidemiology iii
Copyright iv
Contents v
Foreword vii
Preface ix
Chapter 1: An Overview of Clinical Research: The Lay of the Land 1
A Taxonomy of Clinical Research 2
What Studies Can and Cannot Do 4
Descriptive study 4
Cross-sectional study: a snapshot in time 4
Cohort study: looking forward in time 5
Case-control study: thinking backwards 5
Variations on these themes 6
Nested Case-Control Studies 6
Case-Cohort Studies 6
Case-Crossover Studies 7
Case-Time-Control Studies 7
Nonrandomised trial: penultimate design? 7
Randomised controlled trial: gold standard 7
Measurement of Outcomes 8
Confusing fractions 8
Measures of association: risky business 9
Conclusion 10
References 10
Chapter 2: Descriptive Studies: What They Can and Cannot Do 13
The Descriptive Triad—Or Pentad? 14
Five ‘W’ questions 14
Who Has the Disease in Question? 14
What Is the Condition or Disease Being Studied? 14
Why Did the Condition or Disease Arise? 14
When Does the Condition Occur? 14
Where Does or Does Not the Disease or Condition Arise? 15
So What? 15
Types of Descriptive Studies 15
Case report 16
Case-series report 16
Cross-sectional (prevalence) studies 16
Surveillance 17
Ecological correlational studies 18
Uses of Descriptive Studies 18
Trend analysis 18
Planning 19
Clues about cause 19
Advantages and Disadvantages 19
Overstepping the Data 20
Conclusion 20
References 21
Chapter 3: Bias and Causal Associations in Observational Research 25
Internal and External Validity 26
Bias 26
Selection Bias 27
Are the groups similar in all important respects? 27
Information Bias 28
Has information been gathered in the same way? 28
Is the information bias random or in one direction? 29
Confounding 29
Is an extraneous factor blurring the effect? 29
Oral contraceptives and myocardial infarction (and smoking) 29
IUDs and infertility (and sexually transmitted disease) 29
Directed Acyclic Graphs 30
Control for Confounding 30
Restriction 31
Matching 31
Stratification 31
Multivariable analysis 32
Propensity scores 32
Sensitivity analysis 33
Instrumental variables 33
Chance 33
Judging Associations 34
Bogus, indirect, or real? 34
Conclusion 35
References 35
Chapter 4: Cohort Studies: Marching Towards Outcomes 39
Data Collection: Forwards and Backwards 40
Advantages of Cohort Studies 41
Disadvantages of Cohort Studies 42
What to Look for in Cohort Studies 43
Who is at risk? 43
Who is exposed? 43
Who is an appropriate control? 43
Have outcomes been assessed equally? 44
Tracking Participants Over Time 44
Have losses been minimised? 44
Reporting Cohort Studies 44
Variations on the Cohort Theme 47
Before-after studies 47
Nested case-control studies 47
Conclusion 48
References 48
Chapter 5: Case-Control Studies: Research in Reverse 51
Basic Case-Control Study Design 52
Advantages and Disadvantages 53
Selection of Case and Control Groups 54
Case group 54
Control group 54
Measurement of Exposure Information 56
Control for Confounding 56
Conclusion 57
References 57
Chapter 6: Compared to What? Finding Controls for Case-Control Studies 59
Aim of Controls 60
Where to Find Controls? 62
Controls From a Known Group 62
Random-digit dialling 63
Controls From an Unknown Group 64
Neighbourhood controls 64
Hospital controls 65
Friend or associate controls 65
Relative controls 66
How Many Control Groups? 66
How Many Controls Per Case? 66
What to Look for in Controls 67
Conclusion 67
References 67
Chapter 7: The Limitations of Observational Epidemiology 71
False Claims 71
Amateurs at Work 72
Administrative Databases 74
Weak Associations: Size Matters 75
Porous Peer Review 76
Fraud 77
Conclusion 78
References 78
Chapter 8: Uses and Abuses of Screening Tests 83
Ethical Implications 85
What are the potential harms of screening? 85
Criteria for Screening 86
If a test is available, should it be used? 86
Assessment of Test Effectiveness 87
Is the test valid? 87
Trade-Offs Between Sensitivity and Specificity 89
Where should the cut-off for abnormal be? 89
Prevalence and Predictive Values 89
Can test results be trusted? 89
Tests in Combination 90
Should a follow-up test be done? 90
Benefit or Bias? 91
Does a screening programme really improve health? 91
Lead-time bias 91
Length bias 91
Guidelines for test evaluations 92
Conclusion 92
References 92
Chapter 9: Refining Clinical Diagnosis With Likelihood Ratios 95
Likelihood Ratios for Tests With Two Outcomes 96
Why Bother? 97
Shift Happens 98
Choosing Cut Points 98
Fagan Nomogram 99
Two-Step Fagan Nomogram 100
Nomogram Alternatives 100
Size Matters 100
Some Large Likelihood Ratios 102
Likelihood Ratios for Tests With Multiple Outcomes 102
The Importance of Accurate Pretest Probability 103
Diagnostic Thresholds 103
Limitations of Likelihood Ratios 104
Conclusion 105
References 105
Chapter 10: Boosting Recruitment to Randomised Controlled Trials 107
Scope of the Problem 108
Consequences of Poor Recruitment 108
Trial abandonment 108
Power 108
External validity 108
Ethical Concerns 109
Great expectations? 109
Recruitment Terminology 109
Keeping tabs 111
Alternatives to the Traditional Randomised Trial 111
Single randomised consent 111
Double randomised consent 111
Partially randomised patient-preference trial 112
Cohort multiple randomised controlled trial 113
Special Populations: Reaching the Hard-to-Reach 114
Language and cultural barriers 114
What Works? 114
The Way Ahead 116
Conclusion 116
References 117
Chapter 11: Sample Size Calculations in Randomised Trials: Mandatory and Mystical 121
Components of Sample Size Calculations 122
Effect of Selecting α Error and Power 123
Estimation of Population Parameters 125
Low Power With Limited Available Participants 126
Sample Size Samba 127
Sample Size Modification 127
Futility of post hoc Power Calculations 127
What Should Readers Look for in Sample Size Calculations? 128
Conclusion 128
References 129
Chapter 12: Generation of Allocation Sequences in Randomised Trials: Chance, Not Choice 131
What to Look for With Sequence Generation 133
Nonrandom methods masquerading as random 133
Method of generation of an allocation sequence 133
Simple (Unrestricted) Randomisation 134
Restricted Randomisation 135
Blocking 135
Random allocation rule 136
Biased coin and urn randomisation 136
Replacement randomisation 137
Stratified Randomisation 137
Separation of Generation and Implementation 138
Conclusion 138
References 139
Chapter 13: Generation of Allocation Sequences in Non-Double-Blinded Randomised Trials: Guarding Against Guessing 141
Forcing Cosmetic Credibility 142
Unequal Group Sizes in Restricted Trials 143
Alternatives in Non-Double-Blinded Trials 144
Mixed Randomisation 145
Full Disclosure in the Protocol? 149
Conclusion 149
References 149
Chapter 14: Allocation Concealment in Randomised Trials: Defending Against Deciphering 153
Allocation Concealment 154
Importance of Allocation Concealment 154
Personal Accounts of Deciphering 155
What to Look for with Allocation Concealment 156
Baseline Comparisons 159
What to Look for with Baseline Characteristics 160
Conclusion 160
References 160
Chapter 15: Exclusions and Losses in Randomised Trials: Retention of Trial Participants 163
Exclusions Before Randomisation 164
What to look for in exclusions before randomisation 164
Exclusions After Randomisation 164
What to look for in exclusions after randomisation 166
Discovery of Participant Ineligibility 166
Post-Randomisation, Pretreatment Outcome 166
Protocol Deviations 167
Loss to Follow-Up and Retention 168
Conclusion 170
References 170
Chapter 16: Blinding in Randomised Trials: Hiding Who Got What 173
Potential Effects of Blinding 174
Lexicon of Blinding 175
Masking or Blinding? 176
Placebos and Blinding 177
Does Blinding Prevent Bias? 178
What to Look for in Descriptions of Blinding 178
Conclusion 180
References 181
Chapter 17: Implementation of Treatment Blinding in Randomised Trials 183
Introduction 184
Single Blinding: Participants, Investigators, or Assessors 184
Participants 185
Investigators 185
Assessors 185
Implementation issues: participants 185
Sham procedures 186
Implementation issues: assessors 187
Double Blinding: Participants, Investigators, and Assessors 187
Implementation issues: if no effective treatment exists 188
Implementation issues: if an accepted effective treatment exists 188
Implementation Issues: Challenging Double-Dummy Situations 190
The Importance of Placebos 190
Conclusion 191
References 191
Chapter 18: Surrogate Endpoints and Composite Outcomes: Shortcuts to Unknown Destinations 193
What is a Surrogate Endpoint? 193
Advantages of Surrogate Endpoints 194
Disadavantages of Surrogate Endpoints 194
Validation of Surrogate Endpoints 196
Terminological Tangles 196
Levels of Evidence 198
The Way Forward 199
Composite Outcomes 200
Advantages of Composite Outcomes 200
Disadvantages of Composite Outcomes 201
Composite Outcomes in Contemporary Research 202
Conclusion 202
References 203
Chapter 19: Multiplicity in Randomised Trials I: Endpoints and Treatments 205
The Issue 206
A Proposed Statistical Solution 207
Multiple Endpoints 207
Composite Endpoints 208
Multiple Treatments (Multiarm Trials) 209
The Issue of multiplicity adjustment in multiarm trials 210
The Role of Adjustments for Multiplicity 211
What Readers Should Look for 212
Conclusion 212
References 213
Chapter 20: Multiplicity in Randomised Trials II: Subgroup and Interim Analyses 215
Subgroup Analyses 216
What readers should look for with subgroup analyses 218
Interim Analyses 219
Early termination and biased estimates of treatment effects 221
Stopping for harm or futility 222
Other statistical stopping methods 223
What readers should look for with interim analyses 223
Conclusion 223
References 224
Chapter 21: Conducting a Randomised Trial as Part of a Prospective Meta-Analysis 227
Introduction 228
Multicentre Randomised Controlled Trial 228
Prospective Meta-Analysis 228
Some Disadvantages of Multicentre Randomised Trials 229
Some Potential Disadvantages of PMAs 231
Basic Steps in a PMA 232
Conclusion 233
References 233
Chapter 22: Reporting Studies in Medical Journals: CONSORT and Other Reporting Guidelines 235
Introduction 236
Reporting of Randomised Controlled Trials 236
Deficient Reporting 236
Selective Reporting 237
The CONSORT Statement: A Reporting Guideline for Randomised Trials 238
Reporting using the CONSORT statement 241
Other than a two-group, parallel randomised trial 241
Studies Other Than RCTs 241
Conclusion 242
References 244
Index 247
Inside Back Cover ES3