What doctors dont know about the drugs they prescribe Ben Goldacre

hi uh so um this chap here he thinks he

can tell you the future his name is

Nostradamus although here the son have

made him look a little bit like Sean

Connery and like most of you I suspect I

don’t really believe that people can

sense the future I don’t believe in

precognition and every now and then you

hear that somebody has been able to

predict something that happened in the

future and that’s probably because it

was a fluke and we only hear about the

flukes and about the freaks we don’t

hear about all the times that people got

stuff wrong now he expects that to

happen with silly stories about

precognition but the problem is we have

exactly the same problem in academia and

in medicine and in this environment it

costs lives so firstly thinking just

about precognition as it turns out just

last year a researcher called Daryl BEM

conducted a piece of research where he

found evidence of precognitive powers in

undergraduate students and this was

published in a peer-reviewed academic

journal and most of the people who read

this just said okay well fair enough but

I think that’s a fluke that’s a freak

because I know that if I did a study

where I found no evidence that

undergraduate students had precognitive

powers it probably wouldn’t get

published in a journal and in fact we

know that that’s true

because several different groups of

research scientists tried to replicate

the findings of this precognition study

and when they submitted it to the exact

same journal the journal said no we’re

not interested in publishing replication

we’re not interested in your negative

data so this is already evidence of how

in the academic literature we will see a

biased sample of the true picture of all

of the scientific studies that have been

conducted but it doesn’t just happen in

the dry academic field of psychology it

also happens in for example cancer

research so in March 2012 just one month

ago some researchers reported in the

journal Nature how they had tried to

replicate 53 different basic science

studies looking at potential treatment

targets in cancer and out of those 53

studies they were only able to success

we replicate 647 out of those 53 were

unlockable and they say in their

discussion that this is very likely

because freaks get published people will

do lots and lots and lots of different

studies and the occasions when it works

they will publish in the ones where it

doesn’t work they won’t and their first

recommendation of how to fix this

problem because it is a problem because

it sends us all down blind alleys their

first recommendation of how to fix this

problem is to make it easier to publish

negative results in science and to

change the incentives so that scientists

are encouraged to post more of their

negative results in public but it

doesn’t just happen in the very dry

world of preclinical basic science

cancer research it also happens in the

very real flesh and blood of academic

medicine so in 1980 some researchers did

a study on a drug called Lorcan ID and

this was an anti-arrhythmic drug a drug

that suppresses abnormal heart rhythms

and the idea was after people have had a

heart attack they’re quite likely to

have abnormal heart rhythms so if we

give them a drug that suppresses

abnormal heart rhythms this will

increase the chances of them surviving

early on in its development they did a

very small trial just under a hundred

patients 50 patients got Lorcan ID and

of those patients ten died another 50

patients got a dummy placebo sugar pill

with no active ingredient and only one

of them died so they rightly regarded

this drug as a failure and it’s

commercial development was stopped and

because it’s commercial development was

stopped this trial was never published

unfortunately over the course of the

next 5-10 years other companies had the

same idea about drugs that would prevent

arrhythmias in people who’ve had heart

attacks these drugs were brought to

market they were prescribed very widely

because heart attacks are a very common

thing and it took so long for us to find

out that these drugs also caused an

increased rate of death but before we

detected that safety signal over a

hundred thousand people died

unnecessarily in America from the

prescription of anti-arrhythmic drugs

now actually in 1993

the researchers who did that 1980 study

that early study published a mayor culpa

an apology to the scientific community

in which they said when we carried out

our study in 1980 we thought that the

increased death rate that occurred in

the law an ID group was an effective

chance the development of local ID was

abandoned for commercial reasons and

this study was never published it’s now

a good example of publication bias

that’s the technical term for the

phenomenon where unflattering data gets

gets lost gets unpublished it is left

missing in action and they say the

results described here might have

provided an early warning of trouble

ahead now these are stories from basic

science these are stories from twenty

thirty years ago the academic publishing

environment is very different now there

are academic journals like trials the

open access journal which will publish

any trial conducted in humans regardless

of whether it has a positive or a

negative result but this problem of

negative results that go missing in

action is still very prevalent in fact

it’s so prevalent that it cuts to the

core of evidence-based medicine so this

is a drug called reboxetine and this is

a drunk that I myself have prescribed

it’s an antidepressant and I’m a very

nerdy doctor so I read all of the

studies that I could on this drug I read

the one study that was published that

showed that reboxetine was better than

placebo and I read the other three

studies that were published that showed

that reboxetine was just as good as any

other antidepressant and because this

patient hadn’t done well on those other

antidepressants I thought were robots

teams just as good it’s one to try but

it turned out that I was misled in fact

seven trials were conducted comparing

the Box 13 against a dummy placebo sugar

pill one of them was positive and that

was published but six of them were

negative and they were left unpublished

three trials were published comparing

reboxetine against other antidepressants

in which reboxetine was just as good and

they were published but three times as

many patients worth of data was

collected which showed that reboxetine

was worse than those other treatments

and those trials were not published

I felt misled now you might say well

that’s an extreme and unusual example

and I wouldn’t want to

guilty of the same kind of

cherry-picking and selectively

referencing that I’m accusing other

people of but it turns out that this

phenomenon of publication bias has

actually been very very well studied so

here is one example of how you approach

it the classic model is you get a bunch

of studies where you know that they’ve

been conducted and completed and then

you go and see if they’ve been published

anywhere in the academic literature so

this took all of the trials that have

ever been conducted on antidepressants

that were approved over a 15-year period

by the FDA they took all of the trials

which was submitted to the FDA as part

of the approval package so that’s not

all of the trials that were ever

conducted on these drugs because we can

never know if we have those but it is

the ones that were conducted in order to

get the marketing authorization and then

they went to see if these trials had

been published in the peer-reviewed

academic literature and this is what

they found it was pretty much a 50/50

split half of these trials were positive

half of them were negative in reality

but when they went to look for these

trials in the peer-reviewed academic

literature what they found was a very

different picture only three of the

negative trials were published but all

but one of the positive trials were

published now if we just flick back and

forth between those two you can see what

a staggering difference there was

between reality and what doctors

patients commissioners of health

services and academics were able to see

in the peer-reviewed academic literature

we were misled and this is a systematic

flaw in the core of medicine in fact

there have been so many studies

conducted on publication bias now over a

hundred that they’ve been collected in a

systematic review published in 2010 that

took every single study on publication

that bias but they could find

publication bias affects every field of

medicine about half of all trials on

average go missing in action and we know

that positive findings are around twice

as likely to be published as negative

findings this is a cancer at the core of

evidence-based medicine if I flipped a

coin a hundred times but then withheld

the results from you from half of those

tosses I can make it look as if I had a

coin that always came up heads but that

wouldn’t mean that

a two-headed coin that would mean that I

was a chancer and you were an idiot for

letting me get away with it but this is

exactly what we blindly tolerate in the

whole of evidence-based medicine and to

me this is research misconduct if I

conducted one study and I withheld half

of the data points from that one study

you would rightly accuse me essentially

of research fraud and yet for some

reason if somebody conducts ten studies

but only publishes the five that give

the result that they want we don’t

consider that to be research misconduct

and when that responsibility is diffused

between a whole network of researchers

academics industry sponsors journal

editors for some reason we find it more

acceptable but the effect on patients is

damning and this is happening right now

today this is the drug called Tamiflu

tell if Louise a drug which governments

around the world have spent billions and

billions of dollars on stockpiling and

we’ve stockpiled Tamiflu in panic in the

belief that it will reduce the rate of

complications of influenza complications

is a medical euphemism for pneumonia and

death

now when the Cochrane systematic

reviewers were trying to collect

together all of the data from all of the

trials that had ever been conducted on

whether Tamiflu actually did this or not

they found that several of those trials

were unpublished the results were

unavailable to them and when they

started obtaining the write-ups of those

trials through various different means

through Freedom of Information Act

requests through harassing various

different organizations what they found

was inconsistent and when they tried to

get hold of the clinical study reports

the 10,000 page long documents that have

the that the best possible rendition of

the information they were told they

weren’t allowed to have them and if you

want to read the full correspondence and

the excuses and the explanations given

by the drug company you can see that

written up in this week’s edition of

PLoS Medicine and the most staggering

thing of all of this

to me is that not only is this a problem

not only do we recognize that this is a

problem but we’ve had to suffer fake

fixes we’ve had people pretend that this

is a problem that’s been fixed first of

all we had trials registers and

everybody said oh it’s okay we’ll get

everyone to register their trials

whether they’ll post the protocol

they’ll say what they’re going to do

before they do it

and then afterwards we’ll be able to

check and see if all the trials which

have been conducted and completed have

been published but people didn’t bother

to use those registers and so then the

International Committee of medical

journal editors came along and they said

oh well we will hold the line we weren’t

publish any journals we weren’t

published any trials unless they’ve been

registered before they began but they

didn’t hold the line in 2008 a study was

conducted which showed that half of all

of trials published by journals edited

by members of the ICM je weren’t

properly registered and a quarter of

them weren’t registered at all and then

finally the FDA Amendment Act was passed

a couple of years ago say that everybody

who conducts a trial must post the

results of that trial within one year

and in the BMJ in the first edition of

January 2012 you can see a study which

looks to see if people kept to that

ruling and it turns out that only one in

five have done so this is a disaster we

cannot know the true effects of the

medicines that we prescribe if we do not

have access to all of the information

and this is not a difficult problem to

fix we need to force people to publish

all trials conducted in humans including

the older trance because the FDA

Amendment Act only asks that you publish

the trials conducted after 2008 and I

don’t know what world it is in which

were only practicing medicine on the

basis of trials that completed in the

past two years

we need to publish all trials in humans

including the older trials for all drugs

in current use and you need to tell

everyone you know that this is a problem

and that it has not been fixed thank you

very much

you

嗨,呃,这个小伙子,他认为他

可以告诉你未来他的名字是

诺查丹玛斯,尽管这里的儿子

让他看起来有点

像肖恩康纳利,和你们大多数人一样,我怀疑我

真的不相信人们能

感觉到 未来我不相信

预知,你时不时

听到有人能够

预测

未来发生的事情,这可能是因为它

是侥幸,我们只听到

侥幸和我们不知道的怪胎 没有

听说过人们总是

搞错了,现在他希望这会

发生在关于预知的愚蠢故事中,

但问题是我们

在学术界和医学界也有完全相同的问题

,在这种环境下它会

付出生命的代价,所以首先考虑

一下 事实证明,就在

去年,一位名叫 Daryl BEM

的研究人员进行了一项研究,在那里他

发现了本科生预知能力的证据,

发表在同行上 - 审查过的学术

期刊,大多数读过这篇文章的人

都说好吧,很公平,但

我认为这是一种侥幸,

因为我知道,如果我进行一项研究

,发现没有证据表明

本科生具有预认知

能力,它可能不会 不要

在期刊上发表,事实上我们

知道这是真的,

因为几个不同的

研究小组试图复制

这项预知研究的结果

,当他们将其提交给完全相同的

期刊时,期刊说不,我们

不感兴趣 在发布复制品时,

我们对您的负面数据不感兴趣,

因此这已经证明了

在学术文献中我们将如何看到

所有已进行科学研究的真实情况的有偏见样本,

但它并不仅仅发生

在干燥的心理学学术领域,它

也发生在例如癌症

研究中,所以在 2012 年 3 月,就在一个月

前,一些研究人员在该

杂志上报道 Nature 他们如何尝试

复制 53 项不同的基础科学研究,

着眼

于癌症的潜在治疗目标,在这 53

项研究中,他们只能成功,

我们复制了 53 项中的 647 项

,他们在

讨论中说这是非常 可能

是因为怪人发表了,人们会

做很多很多不同的

研究,当它起作用的时候,

他们会在不起作用的地方发表,

他们不会,以及他们

关于如何解决这个问题的第一个建议,

因为它 是一个问题,因为

它让我们都走上了

死胡同 但它

不仅发生在非常

枯燥的临床前基础科学癌症研究世界中,

它也发生在

学术界非常真实的血肉中

所以在 1980 年,一些研究人员

对一种叫做 Lorcan ID 的药物进行了研究,

这是一种抗心律失常药物,一种抑制异常心律的药物

,这个想法是人们

心脏病发作后很可能

出现异常 心律,所以如果我们

给他们一种抑制异常心律的药物,

这将

增加他们

在其发育早期存活的机会他们做了一个

非常小的试验,不到一百名

患者 50 名患者获得了 Lorcan ID

,其中十名患者死亡另一个 50 名

患者得到了一个没有活性成分的假安慰剂糖丸

,其中只有一个人死亡,所以他们正确地认为

这种药物是失败的,它的

商业开发被停止了,

因为它的商业开发被

停止

了,不幸的是,这个试验在整个过程中从未发表过 在

接下来的 5 到 10 年,其他公司对

预防心脏病患者心律失常的药物也有同样的想法

药物被推向

市场 它们被广泛使用,

因为心脏病发作是很常见的

事情,我们花了很长时间才

发现这些药物也导致

死亡率增加,但在我们

发现超过

十万人的安全信号之前

在美国

死于抗心律失常药物的处方,

现在实际上是在 1993 年进行

这项研究的研究人员 1980 年

的早期研究发表了市长的过失

,向科学界道歉

,他们说,当我们

在 1980 年进行研究时,我们认为 法律

中发生的死亡率

增加 ID 群体是一个有效

机会本地 ID 的发展

因商业原因而被放弃,

这项研究从未发表它现在

是发表偏见的一个很好的例子,

这是

不讨人喜欢的现象的技术术语 数据

丢失 未发布 它

在行动中丢失,他们说

这里描述的结果可能会 已经

提供了前方麻烦的早期预警

现在这些是来自基础

科学的故事 这些是二十

三十年前的故事 学术出版

环境非常不同 现在

有学术期刊,如试验

开放获取期刊将出版

任何在人类身上进行的试验

是否有阳性或

阴性结果,但这种

在行动中丢失的阴性结果问题

仍然非常普遍,事实上

它是如此普遍,以至于它切入

了循证医学的核心,所以这

是一种叫做瑞波西汀的药物 是

我自己开的醉酒

这是一种抗抑郁药 我是一个非常

书呆子的医生 所以我阅读了所有

关于这种药物的研究 我阅读

了一项已发表的

研究表明瑞波西汀优于

安慰剂 我 阅读已发表的其他三项

研究,这些研究

表明瑞波西汀与任何

其他抗抑郁药一样好,因为这位

患者没有 其他抗抑郁药效果不佳,

我认为机器人

团队同样好,这是一个尝试,

但事实证明我被误导了,实际上

进行了七次试验,将

Box 13 与虚拟安慰剂糖丸进行比较,

其中一个是阳性的,而且

已发表,但其中六项为

阴性,未发表

三项试验已发表,将

瑞波西汀与其他抗抑郁药

进行比较

比那些其他治疗方法

和那些试验没有发表

我现在觉得被误导了

但事实证明,这种

发表偏倚现象

实际上已经得到了很好的研究,所以

这里有一个例子来说明你如何 你接近

它的经典模型是你得到

一堆研究,你知道它们

已经进行并完成,然后

你去看看它们是否已经

在学术文献的任何地方发表,所以

这需要所有的试验

曾经对 FDA

批准超过 15 年的抗抑郁药进行过

他们接受

了作为批准包的一部分提交给 FDA

所有试验,所以这并不是对这些药物进行过的所有试验,

因为 我们

永远不知道我们是否有这些,但这

是为了

获得营销授权而进行的,然后

他们去查看这些试验是否

已在同行评审的

学术文献中发表,这就是

他们发现的结果

这些试验中几乎有 50/50 的一半是正面的

,其中一半实际上是负面的,

但是当他们去

同行评审的学术文献中寻找这些试验时,

他们发现非常

不同的图片 只有三个

阴性试验发表了,

但除了一个阳性试验之外,

现在都发表了如果我们只是

在这两个之间来回滑动,你会看到现实和医生病人之间

有多么惊人的差异

卫生

服务专员 学者们能够

在同行评审的学术文献中

看到我们被误导了,这是

医学核心的一个系统性缺陷,事实上

已经有很多

关于发表偏倚的研究现在已经超过

一百个,它们已经被收集在

2010 年发表的一项系统评价

对发表偏倚的每一项研究进行了调查

,但他们发现

发表偏倚影响了医学的每个领域

作为阴性结果发表

如果我

掷硬币一百次,这就是循证医学的核心癌症,但 然后隐瞒

了一半

投掷的结果

让我侥幸逃脱的白痴,但这

正是我们在

整个循证医学中盲目容忍的事情,对

我来说,如果我

进行了一项研究并且我隐瞒

了该研究的一半数据点,这就是

研究不端行为 本质上会正确地指责我

研究欺诈,但由于某种

原因,如果有人进行了十项研究,

但只发表了五项给出

他们想要的结果的研究,我们不

认为这是研究不端行为,

并且当该责任分散

在整个网络之间时 的研究人员

学术界 行业 赞助商 期刊

编辑 出于某种原因,我们发现它更

容易接受,但对患者的影响是

可恶的,而且现在正在发生这种情况

这是一种叫做达菲特的药物

如果路易丝是

世界各国政府花费数

十亿美元储备的药物,而

我们恐慌地储备了达菲,

相信它会

降低流感并发症的并发症发生率,现在

是肺炎和死亡的医学委婉说法

当 Cochrane 系统

评价者试图

收集所有关于达菲是否真的这样做的试验的所有数据时,

他们发现其中一些

试验未发表

,他们无法获得结果,当他们

开始通过各种不同的方式获得这些试验的书面记录,

通过信息自由法案的

要求,通过骚扰各种

不同的组织,他们发现

的不一致,当他们

试图掌握临床研究报告时

,长达 10,000 页的文件

有 对

他们被告知他们没有的信息的最佳再现

允许拥有它们,如果您

想阅读制药公司给出的完整信件

、借口和解释

,您可以

在本周的《

公共科学图书馆医学》杂志上看到这些

内容,而

对我来说,这一切中最令人震惊的是 这不仅是一个问题

,我们不仅认识到这是一个

问题,而且我们不得不遭受虚假

修复我们让人们假装这

是一个已经解决的问题,

首先我们有试验登记册,

每个人都说哦 没关系,我们会让

每个人都注册他们的试验

他们是否会发布协议

他们会

在他们做之前说他们将要做什么

然后之后我们将能够

检查并查看是否所有的试验

已经进行和完成

已经出版了,但是人们

懒得使用那些登记册,所以

国际医学

期刊编辑委员会来了,他们说

哦,好吧,我们会坚持我们不

出版任何期刊的路线 不

发表任何试验,除非它们在

开始之前已经注册但他们

没有坚持下去 2008 年

进行的一项研究表明,由 ICM je 成员

编辑的期刊发表的所有试验中,有一半

没有

正确注册,其中四分之一

根本没有注册,

最后几年前通过了 FDA 修正法案,规定

进行试验的每个人都必须

在一年内发布该试验的结果,

并在 BMJ 的

2012 年 1 月的第一版,您可以看到一项研究,

看看人们是否遵守了该

裁决,结果证明只有五分之一的

人这样做了,所以这是一场灾难,如果我们

不知道我们开出的药物的真正效果,那将是一场灾难。

无法访问所有信息

,这不是一个难以解决的问题,

我们需要强迫人们发布

在人类中进行的所有试验,

包括较早的 trance,因为 FDA

修正案只要求您发布

他的试验是在 2008 年之后进行的,我

不知道这是一个什么样

的世界 使用,你需要告诉

你认识的每个人,这是一个问题

,它还没有解决,

非常感谢