Diagnostic Tests Toolkit

Matthew Thompson 지음

BMJ Books 2011년 09월 29일 출간

작품소개

책소개

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.

목차

Acknowledgements, viiiIntroduction, ixChapter 1 Diagnosis in evidence-based medicine, 1Diagnosis and screening, 1Screening, 3Symptoms, 3Signs and elicited symptoms, 4Bedside or point-of-care testing, 4Laboratory tests, 4Basic structure of studies of diagnostic tests, 4Further reading, 5Chapter 2 Evaluating new diagnostic tests, 6Technical accuracy (&-Can it work?&-), 7Place in the clinical pathway (&-Where does the test fi t in the existing clinical pathway?&-), 9Ability of the test to diagnose or exclude the target condition (&-Does it work in patients?&-), 10The effect of the test on patient outcomes (&-Are patients better off?&-), 12Cost-effectiveness (&-Is it worth the cost?&-), 14Further reading, 15Chapter 3 Asking an answerable clinical question, 16Defining a clinical question for diagnostic tests &~ PIRT, 16Further reading, 17Chapter 4 Finding the evidence: how to get the most from your searching, 18Combine textwords and thesaurus, 20Search filters for diagnostic accuracy studies, 20Further reading, 21Chapter 5 Selecting relevant studies, 22Selecting relevant studies, 22Assessing validity, 23What is the difference between bias and variability in diagnostic studies?, 23The &-ideal&- diagnostic study, 24Flow charts of patients, 24Chapter 6 Sources of bias in diagnostic studies, 26Spectrum bias (also known as selection bias), 26Verification bias (also called referral or work-up bias), 28Incorporation bias, 29Observer (or test review bias) bias, 30Differential reference bias (double gold standard), 31What are the effects of the different design-related biases?, 32Further reading, 33Chapter 7 Measures of discrimination of diagnostic tests, 34Two by two tables, 34Outcome measures, 36Which measure shoul

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저자(글) Matthew Thompson

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Matthew Thompson, Oxford Centre for Monitoring and Diagnosis, Department of Primary Care Health Sciences, University of Oxford, UK Department of Family Medicine, Oregon Health Science University, Portland, Oregon, USAAnn Van den Bruel, Department of Primary Care Health Sciences, University of Oxford, UKSeries Editors:Carl Heneghan, Centre for Evidence Based Medicine, Oxford, UKRafael Perera, Department of Primary Care, University of Oxford, UKDouglas Badenoch, Minervation Ltd, Edinburgh, UK