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Rational Diagnosis and Treatment Evidence-Based Clinical Decision-Making

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ISBN-10: 0470515031

ISBN-13: 9780470515037

Edition: 4th 2007

Authors: Peter G�tzsche, Peter G�tzsche

List price: $107.95
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Description:

Now in its fourth edition, Rational Diagnosis and Treatment: Evidence-Based Clinical Decision-Making is a unique book to look at evidence-based medicine and the difficulty of applying evidence from group studies to individual patients. The book analyses the successive stages of the decision process and deals with topics such as the examination of the patient,the reliability of clinical data, the logic of diagnosis, the fallacies of uncontrolled therapeutic experience and the need for randomised clinical trials and meta-analyses. It is the main theme of the book that, whenever possible, clinical decisions must be based on the evidence from clinical research, but the authors also explain…    
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Book details

List price: $107.95
Edition: 4th
Copyright year: 2007
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/8/2008
Binding: Hardcover
Pages: 248
Size: 6.25" wide x 9.23" long x 0.75" tall
Weight: 1.034
Language: English

Peter C. G#248;tzsche, D. MSc. Director, Specialist in internal medicine, Director of the Nordic Cochrane Centre, Rigshospitalet, Copenhagen, Denmark.

Preface
Introduction
The Foundation of Clinical Decisions
The clinical decision process
Clinical data
Scales of measurement
Taking the history
The physical examination
Paraclinical findings
Global assessments
Reliability and Relevance of Clinical Data
Clinical data on an interval scale
Clinical data on an ordinal scale
Clinical data on a binary scale
Descriptive paraclinical findings
Descriptive physical signs
The statistical concept of normality
The concept of disease
Interpretation and relevance
Indicators
The Disease Classification
The historical perspective
The seventeenth and eighteenth centuries
The nineteenth and twentieth centuries
The theoretical perspective
The mechanical model of disease
Molecular biology
Disease and the environment
The practical perspective
Name of disease
Definition
Causes of disease (aetiology and pathogenesis)
The clinical picture
Diagnosis and treatment
Diagnosis
The diagnostic universe
Diagnosis of diseases with an accessible defining criterion
The direct method for assessing the accuracy of test results
The indirect method for assessing the accuracy of test results
Terminological confusion
Quantitative data
Diagnosis of disease with a concealed defining criterion
Syndrome diagnosis
Three patients
Diagnosis in practice
Frequential and subjective probabilities
Diagnostic strategy
Uncontrolled Experience
Uncontrolled experience in a pre-scientific era
The numerical method
The era of laboratory research
The spontaneous course of the disease
Regression towards the mean
Run of luck
Bias
The placebo effect
The need for controlled experience
Alternative edicine: pseudoscientific thinking
The Randomized Clinical Trial
Selection of patients
Randomization
Choice of treatment in the control group
Principles of blinding
Cross-over trials
Measures of benefits and harms
Stopping rules
Assessment of the results
Statistical analysis
Hypothesis testing
Estimation
Other statistical measures of effect
Subgroup analyses
Systematic reviews
From trials to practice
Evidence-based medicine and commercial pressures
Medicine and the Humanities
The four components of clinical reasoning
The empathic-hermeneutic component
The ethical component
Three kinds of norms
The foundation of health care ethics
The structure of ethical reasoning
Assessment of the facts of the case
Consequential considerations
Deontological considerations
The ethical decision
Quality of life
Autonomy and paternalism
Clinical examples
Clinical research ethics
Critical Reading of Medical Journals
Logical analysis of medical papers
Assets and limitations of cohort studies
Assets and limitations of case-control studies
Other designs
Descriptive statistics
Estimation
Testing hypotheses
Pseudohypothetico-deductive logic
Wrong sampling unit
Sample size calculations
Interpretation of P-values
Statistical tests
Examples
Correlation analysis
Life table analysis
References
Index