DescriptionNow 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 the pitfalls of such research and the problems involved in applying evidence from groups of patients to the individual patient.
For this new edition, the sections on placebo and meta-analysis and on alternative medicine have been thoroughly updated, and there is more focus on insufficient reporting of harms of interventions. The sections on different research designs describe advantages and limitations, and the increased medicalisation and the effects of cancer screening on health people are noted. A section on academic freedom when clinicians collaborate with industry and ghost authors is added.
This essential reference work integrates the science and statistical approach of evidence-based medicine with the art and humanism of medical practice; distinguishing between data, sets of data, knowledge and wisdom, and their application. Such an intellectually challenging book is ideal for both medical students and doctors who require theoretical and practical clinical skills to help ensure that they apply theory in practice.
1 The Foundation of Clinical Decisions.
The clinical decision process.
Scales of measurement.
Taking the history.
The physical examination.
2 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.
3 The disease classification.
The historical perspective.
The seventeenth and eighteenth centuries.
The nineteenth and twentieth centuries.
The theoretical perspective.
The mechanical model of disease.
Disease and the environment.
The practical perspective.
Name of disease.
Causes of disease (aetiology and pathogenesis).
The clinical picture.
Diagnosis and treatment.
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.
Diagnosis of diseases with a concealed defining criterion.
Diagnosis in practice.
Frequential and subjective probabilities.
5 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.
The placebo effect.
The need for controlled experience.
Alternative medicine: pseudoscientific thinking.
6 The randomized clinical trial.
Selection of patients.
Choice of treatment in the control group.
Principles of blinding.
Measures of benefits and harms.
Assessment of the results.
Other statistical measures of effect.
From trials to practice.
Evidence-based medicine and commercial pressures.
7 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.
The ethical decision.
Quality of life.
Autonomy and paternalism.
Clinical research ethics.
8 Critical reading of medical journals.
Logical analysis of medical papers.
Assets and limitations of cohort studies.
Assets and limitations of case-control studies.
Wrong sampling unit.
Sample size calculations.
Interpretation of P-values.
Life table analysis.