Bad Pharma: How Medicine is Broken, And How We Can Fix It

Bad Pharma: How Medicine is Broken, And How We Can Fix It
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Doctors and patients need good scientific evidence to make informed decisions. But instead, companies run bad trials on their own drugs, which distort and exaggerate the benefits by design. When these trials produce unflattering results, the data is simply buried. All of this is perfectly legal. In fact, even government regulators withhold vitally important data from the people who need it most. Doctors and patient groups have stood by too, and failed to protect us. Instead, they take money and favours, in a world so fractured that medics and nurses are now educated by the drugs industry.Patients are harmed in huge numbers.Ben Goldacre is Britain’s finest writer on the science behind medicine, and ‘Bad Pharma’ is a clear and witty attack, showing exactly how the science has been distorted, how our systems have been broken, and how easy it would be to fix them.

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Ben Goldacre. Bad Pharma: How Medicine is Broken, And How We Can Fix It

Copyright

Dedication

INTRO

What’s coming

How to read this book

1. Missing Data. Sponsors get the answer they want

Why missing data matters

Why we summarise data

How much data is missing?

Why do negative trials disappear?

How ethics committees and universities have failed us

What can be done?

How regulators and journals have failed us

Registers

What can be done?

Blood from a stone: trying to get data from regulators

Where are we so far?

What to do about all this?

Trying to get trial data from drug companies: the story of Tamiflu

What can be done?

2. Where Do New Drugs Come From? Where do drugs come from?

From laboratory to pill

Early trials

Phase 2 and 3

‘CROs’ and trials around the world

3. Bad Regulators. Getting your drug approved

Pressures on regulators

Approving a drug

‘Better than nothing’

Surrogate outcomes

Accelerated approval

Midodrine

The impact on innovation

Comparative effectiveness research

Monitoring side effects

Solutions

4. Bad Trials

Outright fraud

Test your treatment in freakishly perfect ‘ideal’ patients

Test your drug against something rubbish

Trials that are too short

Trials that stop early

Trials that stop late

Trials that are too small

Trials that measure uninformative outcomes

Trials that bundle their outcomes together in odd ways

Trials that ignore drop-outs

Trials that change their main outcome after they’ve finished

Dodgy subgroup analyses

Dodgy subgroups of trials, rather than patients

‘Seeding Trials’

Pretend it’s all positive regardless

5. Bigger, Simpler Trials

6. Marketing

Pharma’s medical school

CONCLUSION: BETTER DATA

Clearing the decks

Things you can do

AFTERWORD: WHAT HAPPENED NEXT?

The AllTrials Campaign

FOOTNOTES. 1. Missing Data

3. Bad Regulators

6. Marketing

Afterword: What Happened Next?

NOTES

GLOSSARY

ACKNOWLEDGEMENTS, FURTHER READING AND A NOTE ON ERRORS

By the Same Author

About the Author

About the Publisher

Отрывок из книги

To whom it may concern

Title Page

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In 2004 the International Committee of Medical Journal Editors (ICMJE) – a collection of editors from the most influential journals in the world – published a policy statement, announcing that none of them would publish any clinical trials after 2005, unless they had been properly registered before they began.62 They did this, essentially, to force the hand of the industry and researchers: if a trial has a positive result, then people desperately want to publish it in the most prestigious journal they can find. Although they had no legal force, the journal editors did have the thing that companies and researchers wanted most: the chance of a major journal publication. By insisting on pre-registration, they were doing what they could to force researchers and industry sponsors to register all trials. Everyone rejoiced: the problem had been fixed.

If you think it seems odd – and perhaps unrealistic – that fixing this crucial flaw in the information architecture of a $700 billion industry should be left to an informal gathering of a few academic editors, with no legislative power, then you’d be right. Although everybody began to talk as if publication bias was a thing of the past, in reality it was continuing just as before, because the journal editors simply ignored their own threats and promises. Later (pp.247, 307) we will see the phenomenal financial inducements on offer to editors for publishing positive industry papers, which can extend to millions of dollars in reprint and advertising revenue. But first we should look at what they actually did after their solemn promise in 2005.

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