Greenhalgh - How to Read a Paper

Table of Contents

In November 1995, my friend Ruth Holland, book reviews editor of the British Medical Journal, suggested that I write a book to demystify the important but often inaccessible subject of evidence-based medicine. She provided invaluable comments on earlier drafts of the manuscript, but was tragically killed in a train crash on 8th August 1996. This book is dedicated to her memory.

This edition first published 2010 2010 by Patricia Greenhalgh

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Library of Congress Cataloging-in-Publication Data

Greenhalgh, Trisha.

How to read a paper : the basics of evidence-based medicine / Trisha Greenhalgh. 4th ed.

p.; cm.

Includes bibliographical references and index.

ISBN 9781444334364

1. Medical literatureEvaluation. 2. MedicineResearchEvaluation. 3. Evidence-based medicine. I. Title. [DNLM: 1. Evidence-Based Practice. 2. Journalism, Medical. 3. Research. WB 102.5 G813h 2010]

R118.6.G74 2010

610.72dc22

2009051037

A catalogue record for this book is available from the British Library.

Foreword to the First Edition by Professor Sir David Weatherall

Not surprisingly, the wide publicity given to what is now called evidence-based medicine has been greeted with mixed reactions by those who are involved in the provision of patient care. The bulk of the medical profession appears to be slightly hurt by the concept, suggesting as it does that until recently all medical practice was what Lewis Thomas has described as a frivolous and irresponsible kind of human experimentation, based on nothing but trial and error, and usually resulting in precisely that sequence. On the other hand, politicians and those who administrate our health services have greeted the notion with enormous glee. They had suspected all along that doctors were totally uncritical and now they had it on paper. Evidence-based medicine came as a gift from the gods because, at least as they perceived it, its implied efficiency must inevitably result in cost saving.

The concept of controlled clinical trials and evidence-based medicine is not new however. It is recorded that Frederick II, Emperor of the Romans and King of Sicily and Jerusalem, who lived from 1192 to 1250 AD, and who was interested in the effects of exercise on digestion, took two knights and gave them identical meals. One was then sent out hunting and the other ordered to bed. At the end of several hours he killed both and examined the contents of their alimentary canals; digestion had proceeded further in the stomach of the sleeping knight. In the 17th century Jan Baptista van Helmont, a physician and philosopher, became sceptical of the practice of blood-letting. Hence he proposed what was almost certainly the first clinical trial involving large numbers, randomisation and statistical analysis. This involved taking 200 to 500 poor people, dividing them into two groups by casting lots, and protecting one from phlebotomy while allowing the other to be treated with as much blood-letting as his colleagues thought appropriate. The number of funerals in each group would be used to assess the efficacy of blood-letting. History does not record why this splendid experiment was never carried out.

If modern scientific medicine can be said to have had a beginning it was in Paris in the mid-19th century and where it had its roots in the work and teachings of Pierre Charles Alexandre Louis. Louis introduced statistical analysis to the evaluation of medical treatment and, incidentally, showed that blood-letting was a valueless form of treatment, though this did not change the habits of the physicians of the time, or for many years to come. Despite this pioneering work few clinicians on either side of the Atlantic urged that trials of clinical outcome should be adopted, although the principles of numerically-based experimental design were enunciated in the 1920s by the geneticist Ronald Fisher. The field only started to make a major impact on clinical practice after the Second World War following the seminal work of Sir Austin Bradford Hill and the British epidemiologists who followed him, notably Richard Doll and Archie Cochrane.