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Evidence-based Diagnosis: A Handbook of Clinical Prediction Rules
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| List Price: | £67.99 |
| Price: | £57.79 & eligible for FREE Super Saver Delivery on orders over £5. Details |
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Product Description
What is the probability that a patient with a sore throat has strep? How about the likelihood of DVT in a patient with leg symptoms? What is the prognosis for patients with melanoma, pneumonia, or breat cancer? Covering a full range of topics from cardiovascular and pulmonary disease to ophthalmology, hematology and pediatrics, EVIDENCE-BASED DIAGNOSIS is the only single volume, quick reference designed for use in daily practice. Containing over 150 clinical prediction rules as well as need-to-know background information on each rule to determine its validity and relevance for your practice, these rules are essential for every physician in a time of limited health care resources. Designed as an aid in diagnosis and treatment, clinical prediction rules will allow you to make more accurate diagnosis and treatment decisions while eliminating superfluous testing. As an added bonus, a CD-ROM with software designed by the author is included with this volume. The software is designed to allow you to calculate clinical prediction rules with the ease and convenience of the computer. Simply check the boxes, click enter and receive the probabilities. Mark H. Ebell, M.D., M.S. is Associate Professor in the Department of Family Practice at Michigan State University. He is editor of the "Journal of Family Practice" and coeditor of the "Evidence-Based Practice" newsletter, and is the author of over 80 peer-reviewed publications.
Product Details
- Amazon Sales Rank: #389784 in Books
- Published on: 2001-05-01
- Original language: English
- Number of items: 1
- Binding: Paperback
- 416 pages
Editorial Reviews
Review
From the reviews:
"Evidence-Based Diagnosis is succinctly and authoritatively written. It includes an excellent summary of the principles of Bayesian statistics as well as a free interactive CD-ROM of peer-reviewed diagnostic studies with an impressively rapid search engine. a ] I have no doubt that Ebella (TM)s set of accessible prediction rules will help busy clinicians use best evidence more frequently and more systematically in the clinic and at the bedside." (Trisha Greenhalgh, www.medscape.com, 2002)
