Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making

ISBN-13: 9783030076917 / Angielski / Miękka / 2019 / 319 str.

Giuseppe Biondi-Zoccai

Recenzje

"In this book, the authors present pragmatic and useful summaries of the necessary steps for conducting diagnostic accuracy meta-analysis. ... This is a great addition to this field, which has lacked a comprehensive introductory book intended for beginners. While the Cochrane handbook also provides a good summary of this topic, this book reaches a broader audience." (Michihiko Goto, Doody's Book Reviews, April 12, 2019)

Spis treści

SECTION I  

1. Introduction to Clinical Diagnosis

Giuseppe Biondi-Zoccai, Mariangela Peruzzi, Simona Mastrangeli, Giacomo Frati

2. The Evidence hierarchy

Mical Paul

3. Peculiarities of Diagnostic Test Accuracy Studies

Giuseppe Biondi-Zoccai, Simona Mastrangeli, Mariangela Peruzzi, Giacomo Frati 

4. Meta-analyses of Clinical Trials vs Diagnostic Test Accuracy Studies

Michail Tsagris, Konstantinos C. Fragkos

SECTION II 

5. Designing the Review

José Mauro Madi, Machline Paim Paganella, Isnard Elman Litvin, Eliana Marcia Wendland

6. Registering the review

Alison Booth, Julie Jones-Diette

7. Searching for Diagnostic Test Accuracy Studies

Su Golder, Julie Glanville 

8. Abstracting Evidence

Luca Testa, Mario Bollati 

9. Appraising Evidence

Valentina Pecoraro

10. Synthesizing Evidence

Paul-Christian Bürkner

11. Appraising Heterogeneity

Antonia Zapf

12. Statistical Packages and Diagnostic Meta-analysis and Their Application

Philipp Doebler, Paul Bürkner and Gerta Rücker

13. Network Meta-analysis of Diagnostic Test Accuracy Studies 

Gerta Rücker

14. Transition to Intervention Meta-analysis 

Umberto Benedetto, Colin Ng

15. Updating Diagnostic Test Accuracy Systematic Reviews: Which, When and How Should They be Updated? 

Ersilia Lucenteforte, Alessandra Bettiol, Salvatore De Masi, Gianni Virgili 

SECTION III 

16.Diagnostic Meta-Analysis: Case Study in Endocrinology

Kosma Wolinski

17. Diagnostic Meta-Analysis: Case Study in Gastroenterology

Bashar J. Qumseya, Michael Wallace

18.Diagnostic Meta-Analysis: Case Study in Oncology

Sulbaran Marianny, Sousa Afonso, Bustamante-Lopez Leonardo 

19. Diagnostic Meta-analysis: Case Study in Surgery

Eliana Al Haddad, Hutan Ashrafian, Thanos Athanasiou 

SECTION IV 

20. Avenues for Further Research

Yulun Liu, Yong Chen 

21. Conclusion

Giuseppe Biondi-Zoccai 

O autorze

Giuseppe Biondi-Zoccai is Associate Professor in Cardiology in the Department of Medico-Surgical Sciences and Biotechnologies of Sapienza University of Rome. He has got an established expertise in evidence-based cardiovascular medicine and is the founder of the Meta-analysis and Evidence-based medicine Training in Cardiology (METCARDIO) Collaboration. He has published more than 600 articles indexed in MEDLINE, including more than 200 systematic reviews, meta-analyses, or umbrella reviews, and he is the editor of the first books devoted to network meta-analyses and umbrella reviews. 

Blurb

This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the context of case studies from various clinical disciplines.

Diagnosis is central in medical decision-making, and in many other fields of human endeavor, such as education and psychology. The plurality of sources of evidence on diagnostic test accuracy poses a huge challenge for practitioners and researchers, as do the multiple dimensions of evidence validity, which include sensitivity, specificity, predictive values, and likelihood ratios.

This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis.