Diagnostic Tests Toolkit
This new volume in the Toolkit series is designed for clinicians and junior researchers who need to interpret the evidence for the effectiveness of the many diagnostic tests now available. Exceptionally user-friendly, this pocket-sized textbook realizes readers are not experts in diagnostic test interpretation. The authors cover a variety of issues, from how to design diagnostic test studies to understanding the results of diagnostic tests and interpreting the findings for clinical practice and health care policy.
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Evaluating new diagnostic tests
Asking an answerable clinical question
Selecting relevant studies
Sources of bias in diagnostic studies
Measures of discrimination of diagnostic
Using diagnostic information in clinical
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2012 John Wiley assess Bossuyt PM Bruel cancer case–control study cause change in probability clinical pathway clinical practice clinical prediction rules clinicians compared coronary angiography coronary artery disease cut-off D-dimer databases diagnostic accuracy studies diagnostic studies diagnostic systematic reviews Diagnostic Tests Toolkit diagnostic value disease-specific mortality evaluation evidence-based medicine example exercise ECG exercise test existing test health-care identify index test individual intervention likelihood ratios Matthew Thompson measures meta-analysis myocardial infarction negative test odds ratio Ottawa Ankle Rule participants patient outcomes performed plot population post-test probability pre-test probability predictive value prevalence primary studies Published 2012 random effects model reference test risk ROC curves screening test selection sensitivity and specificity serious infection spectrum Spectrum bias studies of diagnostic study design symptoms systematic reviews target condition target disorder test and reference test Reference standard test result threshold validity variables Wiley & Sons