EVIDENCE-BASED CLINICAL CHINESE MEDICINE - VOLUME 9: VASCULAR DEMENTIA PDF

The ninth volume of Evidence-based Clinical Chinese Medicine aims to provide a multi-faceted "whole evidence" analysis of the management of vascular dementia in Chinese and integrative medicine.

Beginning with overviews of how vascular dementia is conceptualized and managed in both conventional medicine and contemporary Chinese medicine, the authors then provide detailed analyses of how dementia and memory disorders were treated with herbal medicine and acupuncture in past eras.

The subsequent chapters comprehensively review the current state of the clinical trial evidence for Chinese herbal medicines, acupuncture and other Chinese medicine therapies in the management of vascular dementia, as well as analyse and evaluate the results of these studies from an evidence-based medicine perspective. The outcomes of these analyses are summarised and discussed in terms of their implications for the clinical practice of Chinese medicine and for future research.

The authors are internationally recognized, well-respected leaders in the field of Chinese medicine and evidence-based medicine with strong track records in research.

This book can inform clinicians and students in the fields of integrative and Chinese medicine of the current state of the evidence for a range of Chinese medicine therapies in vascular dementia, including the use of particular herbal formulas and acupuncture treatments in order to assist clinicians in making evidence-based decisions in patient care.

This book provides:

• A focus on vascular dementia complementing Vol 8 on Alzheimer's disease

• Detailed information on traditional and classical treatment methods

• Comprehensive assessments of the evidence, based on rigorous methods

By providing all this information in one handy, easy to use reference, this book allows practitioners to focus on providing high quality health care, with the knowledge it is based on the best available evidence.

Authors: Charlie Changli Xue, Chuanjian Lu, Brian H May, Mei Feng