The Evidence Base of Clinical Diagnosis: Theory and Methods of Diagnostic Research

This unique book presents a framework for the strategy and methodology of diagnostic research, in relation to its relevance for practice. Now in its second edition The Evidence Base of Clinical Diagnosis has been fully revised and extended with new chapters covering the STARD guidelines (STAndards for the Reporting of Diagnostic accuracy studies) and the multivariable analysis of diagnostic data.
With contributions from leading international experts in evidence–based medicine, this book is an indispensable guide on how to conduct and interpret studies in clinical diagnosis. It will serve as a valuable resource for all investigators who want to embark on diagnostic research and for clinicians, practitioners and students who want to learn more about its principles and the relevant methodological options available.

Spis treści:
List of Contributors.
Preface.
1 General introduction: evaluation of diagnostic procedures (J. André Knottnerus, Frank Buntinx, and Chris van Weel).
2 The architecture of diagnostic research (R. Brian Haynes and John J. You).
3 Assessment of the accuracy of diagnostic tests: the cross–sectional study (J. André Knottnerus and Jean W. Muris).
4 Diagnostic testing and prognosis: the randomized controlled trial in test evaluation research (Jeroen G. Lijmer and Patrick M. M. Bossuyt).
5 The diagnostic before–after study to assess clinical impact (J. André Knottnerus, Geert–Jan Dinant, and Onno P. Van Schayck).
6 Designing studies to ensure that estimates of test accuracy will travel (Les M. Irwig, Patrick M. M. Bossuyt, Paul P. Glasziou, Constantine Gatsonis, and Jeroen G. Lijmer).
7 Analysis of data on the accuracy of diagnostic tests (J. Dik F. Habbema, René Eijkemans, Pieta Krijnen, and J. André Knottnerus).
8 Multivariable analysis in diagnostic accuracy studies: what are the possibilities? (Frank Buntinx, Bert Aertgeerts, Marc Aerts, Rudi Bruyninckx, J. André Knottnerus, Ann van den Bruel, and Jef van den Ende).
9 Standards for reporting on diagnostic accuracy studies (Patrick M. M. Bossuyt and Nynke Smidt).
10 Guidelines for conducting systematic reviews of studies evaluating the accuracy of diagnostic tests (Frank Buntinx, Bert Aertgeerts, and Petra Macaskill).
11 Producing and using clinical prediction rules (Tom Fahey and Johan van der Lei).
12 Clinical problem solving and diagnostic decision making: a selective review of the cognitive research literature (Alan Schwartz and Arthur S. Elstein).
13 Improving test ordering and its diagnostic cost–effectiveness in clinical practice—bridging the gap between clinical research and routine health care (Ron Winkens, Trudy van der Weijden, Hans Severens, and Geert–Jan Dinant).
14 Epilogue: overview of evaluation strategy and challenges (J. André Knottnerus, Ann van den Bruel, and Frank Buntinx).
Index.

Nota biograficzna:
Andre Knottnerus, Professor of General Practice, Maastricht University. He is involved in the Cochrane movement for drawing up tools for accurate diagnostic testing
Frank Buntinx, Professor, Department of Public Health, Leuven University. He is one time chair of the Cochrane Collaboration Diagnostic and Screening Tests Working Group

Okładka tylna:
This unique book presents a framework for the strategy and methodology of diagnostic research, in relation to its relevance for practice. Now in its second edition The Evidence Base of Clinical Diagnosis has been fully revised and extended with new chapters covering the STARD guidelines (STAndards for the Reporting of Diagnostic accuracy studies) and the multivariable analysis of diagnostic data.
With contributions from leading international experts in evidence–based medic ine, this book is an indispensable guide on how to conduct and interpret studies in clinical diagnosis. It will serve as a valuable resource for all investigators who want to embark on diagnostic research and for clinicians, practitioners and students who want to learn more about its principles and the relevant methodological options available.