Assessment of Cancer Screening : A Primer.
Main Author: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing AG,
2022.
|
Edition: | 1st ed. |
Subjects: | |
Online Access: | Click to View |
Table of Contents:
- Intro
- Foreword
- Preface
- Acknowledgments
- Contents
- Contents
- Contents
- 1: Foundations
- 1.1 Cancer
- 1.2 Cancer Statistics
- 1.3 Cancer Screening
- 1.4 Population-Based Cancer Screening
- 1.5 Choosing the Cancers for Which We Screen
- 1.6 Choosing Who to Screen
- 1.7 The Cancer Screening Process
- 1.8 Cancer Screening Tests
- 1.9 Organized Screening Programs Versus Opportunistic Screening
- 1.10 Benefit Versus Harm
- 1.11 Efficacy and Effectiveness of Cancer Screening
- 1.12 Cancer Screening: Turning Healthy People Into Cancer Patients
- References
- 2: Behind the Scenes
- 2.1 A Simple Model of the Natural History of Cancer
- 2.2 Three Important Phenomena in Screen Detection of Cancer
- 2.2.1 Lead Time
- 2.2.2 Length-Weighted Sampling
- 2.2.3 Overdiagnosis
- 3: Performance Measures
- 3.1 The Building Blocks of Performance Measures
- 3.1.1 Cancer Screening Test Result
- 3.1.2 Cancer: Present or Not?
- 3.2 Calculating Cancer Screening Performance Measures
- 3.2.1 The Formulas
- 3.2.2 The Relationship Between PPV, NPV, and Prevalence
- 3.2.3 The Implications of Low PPV
- 3.2.4 Can PPV Be Improved?
- 3.3 ROC Curves and AUC
- 3.3.1 ROC Curves
- 3.3.2 Calculating AUC
- 3.4 Performance Measures: Evidence or Not?
- References
- 4: Population Measures: Definitions
- 4.1 Intermediate Outcomes
- 4.1.1 Cancer Incidence
- 4.1.2 Calculating a Cancer Incidence Rate: A Fictional Example
- 4.1.3 Stage Distribution
- 4.1.4 Case Survival
- 4.2 Definitive Outcomes
- 4.2.1 Cause-Specific and all-Cause Mortality
- 4.2.2 Calculating Mortality Rates: A Fictional Example
- References
- 5: Population Measures: Cancer Screening's Impact
- 5.1 Cancer Screening's Impact on Intermediate Outcomes
- 5.1.1 Cancer Incidence
- 5.1.2 Cancer Incidence Example.
- 5.1.3 Stage at Diagnosis
- 5.1.4 Stage at Diagnosis Example
- 5.1.5 Case Survival
- 5.1.6 Case Survival Example
- 5.2 Cancer Screening's Impact on Definitive Outcomes
- 5.2.1 Mortality Rates and the Three Screening Phenomena
- 5.2.2 Cause-Specific Mortality Rates
- 5.2.3 Sticking Diagnosis, Slippery Linkage, and Assessment of Cancer Screening
- 5.2.4 Cause of Death Review
- 5.2.5 Cause-Specific Mortality Rates: Definitive Enough?
- 5.2.6 All-Cause Mortality
- References
- 6: Experimental Research Designs
- 6.1 An Overview of Experimental Study Designs
- 6.2 Individual-Level Randomized Controlled Trials of Screening
- 6.2.1 Design Features
- 6.2.2 Analysis Features
- 6.2.3 Strengths and Weaknesses
- 6.2.4 Example of an Individual-Level Cancer Screening RCT
- 6.3 Cluster-Level Randomized Controlled Trials of Cancer Screening
- 6.3.1 Design Features
- 6.3.2 Analysis Features
- 6.3.3 Strengths and Weaknesses
- 6.3.4 Example of a Cluster-Level Cancer Screening RCT
- 6.4 Pragmatic Randomized Controlled Trials of Cancer Screening
- 6.4.1 Examples of Pragmatic Cancer Screening RCTs
- References
- 7: Observational Research Designs
- 7.1 An Overview of Observational Study Designs
- 7.2 Cohort Studies
- 7.2.1 Design Features
- 7.2.2 Analysis Features
- 7.2.3 Strengths and Weaknesses
- 7.2.4 Variations
- 7.2.5 Examples of Cancer Screening Cohort Studies
- 7.3 Case-Control Studies
- 7.3.1 Design Features
- 7.3.2 Analysis Features
- 7.3.3 Strengths and Weaknesses
- 7.3.4 Example of Case-Control Studies of Cancer Screening
- 7.4 Ecologic Studies
- 7.4.1 Design Features
- 7.4.2 Analysis Features
- 7.4.3 Strengths and Weaknesses
- 7.4.4 Variations
- 7.4.5 Examples of Ecologic Studies of Cancer Screening
- 7.5 Single-Arm Studies
- 7.5.1 Design Features.
- 7.5.2 Analysis Features
- 7.5.3 Strengths and Weaknesses
- 7.5.4 Variations
- 7.5.5 Examples of Cancer Screening Single-Arm Studies
- 7.6 Two-in-One Single-Arm Studies
- 7.6.1 Design Features
- 7.6.2 Analysis Features
- 7.6.3 Strengths and Weaknesses
- 7.6.4 Examples of Two-in-One Single-Arm Studies
- 7.7 All Study Designs: Critical Data Elements
- References
- 8: Cancer Prevention Screening
- 8.1 Chapter 1: Foundations
- 8.2 Chapter 2: Behind the Scenes
- 8.3 Chapter 3: Performance Measures
- 8.4 Chapter 4: Population Measures: Definitions
- 8.5 Chapter 5: Population Measures: Cancer Screening's Impact
- 8.6 Chapter 6: Experimental Research Designs
- 8.7 Chapter 7: Observational Research Designs
- 8.7.1 Example of a Case-Control Study of Cancer Screening with an Outcome of Invasive Disease
- References
- 9: Additional Considerations
- 9.1 Topics Regarding Data Interpretation
- 9.1.1 Number Needed to Screen
- 9.1.2 Generalizability of Results
- 9.1.3 Concurrent Changes in Treatment
- 9.2 Topics Regarding Methodology
- 9.2.1 Microsimulation Modeling
- 9.2.2 Magnitude of Overdiagnosis
- 9.2.3 Incidence and Prevalence Screens
- 9.2.4 Interval Cancers
- 9.3 Topics Regarding Policy
- 9.3.1 Selecting a Cancer Screening Interval
- 9.3.2 De-implementation
- 9.3.3 Reduction in Advanced-Stage Cancer
- 9.3.4 Benefit in the Absence of a Mortality Reduction
- References
- 10: Closing Thoughts
- References.