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Evidence-Based Decision Making in Dentistry - Multidisciplinary Management of the Natural Dentition (Hardcover, 1st ed. 2017) Loot Price: R3,777
Discovery Miles 37 770
You Save: R383 (9%)
Evidence-Based Decision Making in Dentistry - Multidisciplinary Management of the Natural Dentition (Hardcover, 1st ed. 2017):...

Evidence-Based Decision Making in Dentistry - Multidisciplinary Management of the Natural Dentition (Hardcover, 1st ed. 2017)

Eyal Rosen, Carlos E. Nemcovsky, Igor Tsesis

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List price R4,160 Loot Price R3,777 Discovery Miles 37 770 | Repayment Terms: R354 pm x 12* You Save R383 (9%)

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This clinically oriented book covers all aspects of the evidence-based decision making process in multidisciplinary management of the natural dentition. The book opens by clarifying the principles of evidence-based decision making and explaining how these principles should be applied in daily practice. Individual chapters then focus specifically, and in detail, on endodontic, periodontal, and prosthetic considerations, identifying aspects that need to be integrated into decision making and treatment planning. Evidence-based decision making with regard to preservation of the natural tooth versus extraction and implant placement is then discussed, and a concluding chapter examines likely future trends in dentistry and how they may affect clinical decision making. The authors include leading endodontists, periodontists, and prosthodontists. Given the multidisciplinary and comprehensive nature of the book, it will be relevant and interesting to the entire dental community.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: 2017
First published: 2017
Editors: Eyal Rosen • Carlos E. Nemcovsky • Igor Tsesis
Dimensions: 254 x 178 x 15mm (L x W x T)
Format: Hardcover
Pages: 141
Edition: 1st ed. 2017
ISBN-13: 978-3-319-45731-4
Categories: Books > Medicine > Other branches of medicine > Dentistry / oral & maxillofacial medicine
Books > Medicine > Clinical & internal medicine > Medical diagnosis > General
LSN: 3-319-45731-4
Barcode: 9783319457314

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