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Diagnostic Tests Toolkit Diagnostic Tests Toolkit Finding the evidence for diagnostic tests Establishing an evidence-based methodology to assess the effectiveness of diagnostic tests has posed problems for many years. Now that the framework is in place health professionals can find and appraise the evidence for themselves. With Diagnostic Tests Toolkit clinicians and junior researchers can interpret the evidence for the effectiveness of different types of diagnostic tests, or develop their own research using the successful 'step-by-step' format of the Toolkit series. Written by renowned…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 120
- Erscheinungstermin: 29. September 2011
- Englisch
- ISBN-13: 9781119951797
- Artikelnr.: 37359279
- Verlag: John Wiley & Sons
- Seitenzahl: 120
- Erscheinungstermin: 29. September 2011
- Englisch
- ISBN-13: 9781119951797
- Artikelnr.: 37359279
viii Introduction
ix Chapter 1 Diagnosis in evidence-based medicine
1 Diagnosis and screening
1 Screening
3 Symptoms
3 Signs and elicited symptoms
4 Bedside or point-of-care testing
4 Laboratory tests
4 Basic structure of studies of diagnostic tests
4 Further reading
5 Chapter 2 Evaluating new diagnostic tests
6 Technical accuracy ('Can it work?')
7 Place in the clinical pathway ('Where does the test fi t in the existing clinical pathway?')
9 Ability of the test to diagnose or exclude the target condition ('Does it work in patients?')
10 The effect of the test on patient outcomes ('Are patients better off?')
12 Cost-effectiveness ('Is it worth the cost?')
14 Further reading
15 Chapter 3 Asking an answerable clinical question
16 Defining a clinical question for diagnostic tests - PIRT
16 Further reading
17 Chapter 4 Finding the evidence: how to get the most from your searching
18 Combine textwords and thesaurus
20 Search filters for diagnostic accuracy studies
20 Further reading
21 Chapter 5 Selecting relevant studies
22 Selecting relevant studies
22 Assessing validity
23 What is the difference between bias and variability in diagnostic studies?
23 The 'ideal' diagnostic study
24 Flow charts of patients
24 Chapter 6 Sources of bias in diagnostic studies
26 Spectrum bias (also known as selection bias)
26 Verification bias (also called referral or work-up bias)
28 Incorporation bias
29 Observer (or test review bias) bias
30 Differential reference bias (double gold standard)
31 What are the effects of the different design-related biases?
32 Further reading
33 Chapter 7 Measures of discrimination of diagnostic tests
34 Two by two tables
34 Outcome measures
36 Which measure should you use and why?
38 The effect of prevalence on predictive values
40 Effect of time on diagnostic accuracy
41 Effect of severity of the target condition on diagnostic accuracy
42 The referral fi lter
42 Rules of thumb for interpreting likelihood ratios
44 Further reading
52 Chapter 8 Using diagnostic information in clinical practice
53 Validity of data
54 Problem-solving strategies that clinicians use in diagnosis
55 Action thresholds versus testing thresholds ('Will the test change my management?')
57 Methods for combining test results
58 Multivariable analyses
60 How are clinical prediction rules developed?
62 How to select a prediction rule for clinical practice
64 Further reading
65 Chapter 9 Screening tests
66 What are screening tests?
66 Different types of screening
66 Ideal study design for screening tests
68 Over-diagnosis
74 Further reading
74 Chapter 10 Systematic reviews of diagnostic test accuracy studies
75 The research question
75 The literature search
76 Assess the quality of individual studies included in the review
79 Summarizing the results of diagnostic studies
80 Combining data and interpreting meta-analyses of diagnostic studies
85 Acknowledgements
88 Further reading
88 Appendix 1 Evidence-based medicine - a glossary of terms
90 Appendix 2 Further reading
96 Books
96 Useful websites
96 Useful journal articles
96 Index
98
viii Introduction
ix Chapter 1 Diagnosis in evidence-based medicine
1 Diagnosis and screening
1 Screening
3 Symptoms
3 Signs and elicited symptoms
4 Bedside or point-of-care testing
4 Laboratory tests
4 Basic structure of studies of diagnostic tests
4 Further reading
5 Chapter 2 Evaluating new diagnostic tests
6 Technical accuracy ('Can it work?')
7 Place in the clinical pathway ('Where does the test fi t in the existing clinical pathway?')
9 Ability of the test to diagnose or exclude the target condition ('Does it work in patients?')
10 The effect of the test on patient outcomes ('Are patients better off?')
12 Cost-effectiveness ('Is it worth the cost?')
14 Further reading
15 Chapter 3 Asking an answerable clinical question
16 Defining a clinical question for diagnostic tests - PIRT
16 Further reading
17 Chapter 4 Finding the evidence: how to get the most from your searching
18 Combine textwords and thesaurus
20 Search filters for diagnostic accuracy studies
20 Further reading
21 Chapter 5 Selecting relevant studies
22 Selecting relevant studies
22 Assessing validity
23 What is the difference between bias and variability in diagnostic studies?
23 The 'ideal' diagnostic study
24 Flow charts of patients
24 Chapter 6 Sources of bias in diagnostic studies
26 Spectrum bias (also known as selection bias)
26 Verification bias (also called referral or work-up bias)
28 Incorporation bias
29 Observer (or test review bias) bias
30 Differential reference bias (double gold standard)
31 What are the effects of the different design-related biases?
32 Further reading
33 Chapter 7 Measures of discrimination of diagnostic tests
34 Two by two tables
34 Outcome measures
36 Which measure should you use and why?
38 The effect of prevalence on predictive values
40 Effect of time on diagnostic accuracy
41 Effect of severity of the target condition on diagnostic accuracy
42 The referral fi lter
42 Rules of thumb for interpreting likelihood ratios
44 Further reading
52 Chapter 8 Using diagnostic information in clinical practice
53 Validity of data
54 Problem-solving strategies that clinicians use in diagnosis
55 Action thresholds versus testing thresholds ('Will the test change my management?')
57 Methods for combining test results
58 Multivariable analyses
60 How are clinical prediction rules developed?
62 How to select a prediction rule for clinical practice
64 Further reading
65 Chapter 9 Screening tests
66 What are screening tests?
66 Different types of screening
66 Ideal study design for screening tests
68 Over-diagnosis
74 Further reading
74 Chapter 10 Systematic reviews of diagnostic test accuracy studies
75 The research question
75 The literature search
76 Assess the quality of individual studies included in the review
79 Summarizing the results of diagnostic studies
80 Combining data and interpreting meta-analyses of diagnostic studies
85 Acknowledgements
88 Further reading
88 Appendix 1 Evidence-based medicine - a glossary of terms
90 Appendix 2 Further reading
96 Books
96 Useful websites
96 Useful journal articles
96 Index
98