91热爆

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THE ATTACHED TRANSCRIPT WAS TYPED FROM A RECORDING AND NOT COPIED FROM AN ORIGINAL SCRIPT.听 BECAUSE OF THE RISK OF MISHEARING AND THE DIFFICULTY IN SOME CASES OF IDENTIFYING INDIVIDUAL SPEAKERS, THE 91热爆 CANNOT VOUCH FOR ITS COMPLETE ACCURACY.

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INSIDE HEALTH

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Programme 2.

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TX:听 11.07.17听 1530-1600

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PRESENTER:听 MARK PORTER

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PRODUCER:听 ERIKA WRIGHT

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Porter

Coming up today:听 Statins and muscles aches 鈥� are we talking our way into a problem?

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And pancreatic cancer 鈥� I visit a pioneering new initiative collecting samples from patients to help come up with better treatments.

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I was asked if I would take part in research.听 I didn鈥檛 hesitate.听 If I could help anybody else then I was going to, even if it couldn鈥檛 help me.听 When they removed the tumour, popped that into the tissue bank, I didn鈥檛 want it, so they could have it.

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Porter

More from Cathy later.

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But first, claims that we are about to enter a new era where computers rather than doctors will be doing the diagnosing. 听Advances in IT are transforming our world at an incredible pace, so it should come as no surprise that they are now knocking at the door of the inner sanctum of medicine 鈥� the consulting room.听

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British company Babylon Health has developed an online tool using artificial intelligence that its founder 鈥� Ali Parsa 鈥� believes will soon be able to make diagnoses quicker and more accurately than a doctor. 听Indeed he says his research shows it is already better at triaging patients. 听And the technology is currently being piloted by the NHS 111 service in parts of London.

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So, is this the next stage in the journey from stethoscope to smartphone? 听Margaret McCartney, Inside Health鈥檚 resident sceptic, who, like me, has a vested interest in the status quo, isn鈥檛 convinced. 听Babylon鈥檚 Ali Parsa most certainly is.

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Parsa

We created Babylon, Mark, to try and see if we can answer a simple question 鈥� can we do with healthcare what Google did with information, can you make it accessible, affordable?听 To make healthcare accessible is almost easier, as long as I can deliver most of the healthcare most people need on devices most of them have that鈥檚 highly accessible, the question really becomes how do you make healthcare affordable.听 And the cost in healthcare, when you add it all up and you look at it and it sits in two places.听 Two-thirds of all the money the NHS spends, as you know, goes into salaries, so people are the most expensive part of healthcare.听 And the second, Mark, is timing 鈥� most diseases by the time they present their symptoms a 拢10 problem has become a 拢1,000 solution.

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Porter

Now one of the things that you鈥檙e doing that caught my eye is the use of Chat Bots, algorithms, artificial intelligence, call it what you will, but a way of triaging and indeed making diagnoses, can you explain how that鈥檚 being used at the moment because the NHS is trialling it I gather?

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Parsa

That鈥檚 correct, the NHS is trialling it in North London for around a million people and we also published a little academic paper that showed that in reality it performs incredibly well, I mean in that paper we demonstrated it performs 17% more accurately than a nurse or 14% more accurately than a doctor.听 And you would expect that to do that.听 So if you think about the process of diagnosis, scientifically, which is a process that you know as a doctor of getting to the probability of what disease it is you have, it just happens to be that machines can do probabilistic graphical modelling a lot better than a human brain.

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Porter

So this is where you effectively have a chat via your phone and at the other end is some form of clever computer, so it asks you a series of questions which you answer yes or not to鈥�

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Parsa

As a doctor would, yes.听 Is this a solution to all our clinical needs?听 Absolutely not, that鈥檚 not even meant to be, it鈥檚 not meant to replace human beings, it鈥檚 meant to augment them.听 It鈥檚 meant to do 鈥� because I鈥檓 a physicist, I did my PhD in physics, I used to spend a huge amount of my time doing calculations, today machines do the calculations for me to allow me to do thinking, a machine cannot do what you can do as a doctor, they can鈥檛 put their hand on my shoulder and say look, now that I know what鈥檚 your disease let me help you fix it.听 So this is not machines versus humans, this is machines aiding humans.

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Porter

Margaret McCartney, this is machines aiding humans.听 I mean technology鈥檚 coming in to the job that we do, it鈥檚 always been there, is this something we should be grasping?

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McCartney

Well I love technology but I love evidence even more and my big question is where is the evidence for this app working?听 And I鈥檓 really worried that that academic study, that Ali鈥檚 talking about, is not a real life study.听 And that means I do not know how effective that is in the real world.听 The experiment was essentially a kind of test tube experiment where doctors created clinical vignettes and then actors ran them and it was versus 鈥� doctors were pitted against the artificial intelligence and some nurses as well.听 And although they found that according to their own answers, which aren鈥檛 published in full, so it鈥檚 difficult to know what that actually meant, according to their vignette the computer was better.听 Now the computer sent more people to get checked, they sent more people for triage, now that鈥檚 really, really important because all the studies that have been done so far on the NHS 111 system, which was a similar kind of protocol driven diagnostic pathway, showed that far more people were being sent for triage compared with a clinician or a trained assistant trying to sort out these calls.听 And what that means is services get overwhelmed and the people who really do need to get seen are behind a 100 people that didn鈥檛 need to get seen.听 That鈥檚 a really big problem.听 And that鈥檚 why you have to be absolutely sure that this works before you set it up and roll it out to a million people in North London.

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Porter

But is that not what you鈥檙e doing in North London, I mean are you seeing whether it works?

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Parsa

Yeah, so what you said was what you published before we realised the product.听 Since then, of course, we鈥檝e done hundreds of thousands of triage and if you go to our website you will see 18,000 five star rating at a rate of almost 100 five star ratings a day come in鈥�

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McCartney

Popularity ratings are not good enough to analyse鈥�

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Parsa

But Margaret, it鈥檚 very true 鈥� Margaret it鈥檚 very true 鈥� Margaret you鈥檙e right 鈥� accuracy.

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McCartney

This service should not be a popularity contest.听 This service should be about how to make use of our resources as best we can to give people the best possible care.听 Now if I were setting up a study of a million people in North London I would be sure to tell people 鈥� this is an experimental situation, we don鈥檛 know how good this is, we have not published clear results on it.听 I would also make sure I published my trial protocol before I started.听 I would make sure there was an ethics committee involved to pull [indistinct word] if it was going wrong, it was going badly, if people were being harmed.听 Has any of that been done?

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Parsa

I am sure NHS has done all of that and they will鈥�

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McCartney

I鈥檝e been asking since March to get the trial protocol and to find out if ethics committees were involved in that and I鈥檝e had no answer to those questions.

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Parsa

Margaret, you can talk to the NHS and I鈥檓 sure they will give you that.听 But look what I hear you saying is exactly what I heard years ago when people said mobile phones, nobody鈥檚 going to use them, it鈥檚 going to fry your brains, it鈥檚 going to do this, it鈥檚 going to do that.听 Then we heard that about who鈥檚 going to book their travels, you need your trusted travel agent, what you need to understand Margaret is that you鈥檙e in an incredibly privileged place, who have access to people like you, actually if I pick up my phone right now, if you give me the number of your practice and I dial it right now, on radio, and try and get to see you I probably have to wait three weeks to see you, by which time probably whatever conditions I have gets a lot worse.听 And believe me I鈥檓 very happy we will soon launch the diagnosis on our engine鈥�

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Porter

As opposed to the triage.

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Parsa

鈥�which not just triage.听 And I鈥檓 very happy to come back here and compete the machine with you, with Mark, [indistinct word].听 So this idea 鈥� because think about this scientifically 鈥� this idea that a human being can, for instance, beat a machine in the game of chess or nowadays in the game of golf, there are things that machines can do much better.听 Our machine sits on 300 million strings of knowledge, there鈥檚 no way your brain can fit those things in.听 So there are things you鈥檙e much better at, I have no question, but please, please do not try under the name of all these things you say deny our people progress in medicine.

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McCartney

Well that鈥檚 just 鈥� that鈥檚 just really a nonsense argument.听 So if I could get a word in.听 So how do we know, for example that you can鈥檛 get to see a GP because we鈥檙e dealing with people who鈥檝e been sent inappropriately to their GP through these kind of triage systems?听 That鈥檚 a question we ask.听 I love technology but technology could make my life better.听 But as a GP how rare is it for someone actually to come and say what would help you Margaret do your job better and very often it鈥檚 about the basics of things, it鈥檚 about basic hospital systems that don鈥檛 communicate properly with GP systems, about prescription information that鈥檚 out of date, about clunky systems 鈥� it鈥檚 very hard for access for doctors or patients and anyone else.听 But nobody seems interested in sorting out these problems.听 The NHS is throwing good money after bad again and again in trying to sort out technology problems but we never get the core problems sorted and that鈥檚 my big issue.

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Porter

I mean I think historically the problem is that forays into this area have not gone well and I suppose what people are asking for with a project like yours 鈥� and this is going to happen, for sure, I know this is going to happen one day 鈥� but we want to make sure that we鈥檙e heading off on the right avenue and that everything we鈥檙e doing is evidence based.听 And I share Margaret鈥檚 concern that at the moment it鈥檚 based on some fairly flimsy evidence, I mean it鈥檚 evidence but it鈥檚 fairly flimsy evidence.

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Parsa

We do our own continuous audit of what our technology does.听 But this idea 鈥� this is a little bit of 鈥� I鈥檓 sorry when I listen to this, it鈥檚 a bit of 鈥� I鈥檓 jaded by the way the NHS has done things badly and therefore I can鈥檛 see it being done well.听 It鈥檚 like in the old days saying that look all a librarian needs is better computers for libraries and then came Google and said actually you know what 鈥� I鈥檓 going to do away with librarians, I鈥檓 going to put all the information in the world directly into the hands of humans.听 I think鈥�

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Porter

No the problem that we have, I think, is that things that have been used before weren鈥檛 properly tested from the outset and they went wrong鈥�

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Parsa

Like what?

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Porter

鈥�and it would be nice to know from early 鈥� well I mean I think the impact of things like NHS Direct was nothing like what it was supposed to be when it was lauded initially.听 And so we would like to see things coming in that are heavily evidence based.听 For instance, I mean let鈥檚 look at this diagnosis of your machine 鈥� how do you know, how can you be absolutely sure that it鈥檚 working as well as you think it is, how can you convince wary clinicians 鈥� I think that鈥檚 important.

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Parsa

That is very important and that鈥檚 why we鈥檙e doing thousands and thousands of tests on it.听 Remember we have done clinical consultations in the tunes of tens of thousands across the world, right.听 So what we鈥檙e doing before we release the diagnostic capability 鈥� we鈥檙e looking at all of those consultations and see whether the machine would diagnose exactly the same as a doctor does.听 And remember all that machine does is gives that diagnosis back to the doctor in the first instance, and it鈥檚 up to the doctor to then say look has that helped them or not helped them.听 And the evidence we鈥檙e seeing internally it is massively helping the doctors.听 But in the name of evidence, the fact that you had a bad experience in the past with some technology, don鈥檛 try to stop this country get what it鈥�

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McCartney

Can鈥檛 we learn from it, can鈥檛 we actually say okay we have gone wrong in the past, so let鈥檚 do things really properly and really well.听 So you could do that in exactly the same鈥�

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Parsa

Which is exactly what we鈥檙e doing.

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McCartney

Well it鈥檚 not, that鈥檚 the problem.听 You see what should have happened is there should have been a systematic review that said okay this is everything we know about this subject.听 Then there should have been proper trial protocol, you say okay this is what we鈥檙e going to test, this is how we鈥檙e going to do it, we鈥檒l involve patients, we鈥檒l tell doctors how we鈥檙e going to operate this, we will set up a system so that we know if things are going wrong, we can rectify it.听 What the benefits are, what the problems are, how we could improve things if it were to work out.听 We鈥檒l do cost effective analysis as well and that will tell us whether or not we should keep going 鈥� commissioning this.听 And we should publish all that protocol before we begin.听 And with clearly defined end points that you can then go in and investigate, publish and publicise and discuss 鈥� that鈥檚 how it should be done and I see none of things happening in North London.

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Parsa

Margaret, I鈥檓 telling you we鈥檝e done that 鈥� all of what you say 鈥� at tunes of hundreds of thousands of people for our own studies when we publish it.听 This is a programme that talks about progress in medicine and that鈥檚 what we鈥檙e focusing on.听 Come and work with us.听 The best thing you could do 鈥� put your scepticism to work, you are our best triers, you鈥檙e the best people for us.

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McCartney

I think the technology has got huge potential to work, so much better than it is just now, but I鈥檓 afraid to say I鈥檓 staying with patients in Glasgow.

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Porter

And I am sure they would not want it any other way. 听Margaret McCartney and Ali Parsa. More details, as ever, on the Inside Health page of the Radio 4 website.

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Now to a pioneering new project hoping to transform the treatment of pancreatic cancer 鈥� the world鈥檚 first national tissue bank for the disease.听 Recently opened at Barts Cancer Institute in London, it stores samples collected from people treated at hospitals around the UK, and will act as a central resource for anyone researching new ways to treat pancreatic cancer.

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Cathy was only too happy for her samples to be used when she was diagnosed with the condition in 2015.听 We met near her home on the Sussex coast.

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Cathy

Looking back I was very tired, very run down.听 My local GP was worried and got referred to the local hospital for some tests.听 They put a camera down my throat where they discovered a mass in my pancreas and referred me straight to St Barts, and done the biopsies and then they decided to operate on me.听 Sixteen days coming out of hospital I felt so much better and had a clinic with a Professor Kocher who told me that it was cancer.听 I think I was just numb, just heard the words cancer and chemotherapy.

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Kocher

My name is Hemant Kocher and I work as a consultant liver and pancreatic surgeon at Royal London Hospital.听 Unfortunately pancreas cancer survival has not changed over the last 40 years.听 Ninety percent of patients present with disease which cannot be removed by surgery, in which case the survival is really dismissal, it鈥檚 around 3% at five years.

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Porter

Why does pancreatic cancer pose such a challenge to clinicians like you?

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Kocher

The pancreas as an organ is very deep seated in the tummy, so obviously it does not produce many symptoms, which a person may face or by the time they face symptoms or problems it is far too late.听 The other aspect is the pancreas cancer biology of how the pancreas cancer behaves.听 Unfortunately it spreads very quickly and secondly it鈥檚 got a lot of scar tissue around it which makes treatments which are commonly successful in other cancers, such as chemotherapy and radiotherapy, largely ineffective in pancreas cancer.听 Treatments cannot penetrate the scar tissue and attack the cancer cells.

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Porter

You鈥檙e sort of talking about it as if it鈥檚 some sort of shield, if you like, this scar tissue.听 Where does it come from and what does it do and why does it make your job difficult?

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Kocher

Most people will not know it but normal pancreas is as soft as an ear lobe and therefore surgeons find it very difficult to stitch something fleshy as that.听 But pancreas cancer is very hard, almost like bone, and this is because of excessive scarring, so cancer is like a wound which does not heal and in pancreas cancer a lot of scar tissue gets deposited and that surrounds the cancer and acts like a fortress or a shield, as you say.

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Porter

And ironically that scar tissue is actually us, it鈥檚 not part of the cancer as such, it鈥�

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Kocher

That is right, that鈥檚 the normal tissue.

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Porter

And we鈥檙e shielding the cancer from people who are trying to help us.听 And having a tissue bank enables the researchers to understand more about that process and perhaps how you might be able to manipulate it?

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Kocher

That鈥檚 right.听 So we have to understand more about the interaction between the cancer cells and the body鈥檚 normal cells and how we can disrupt the cross talk, the talk which is taking place between these different cells types 鈥� the cancer, the bad boy, and the henchman 鈥� and attack the cancers.

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Roberts

I鈥檓 Rhiannon Roberts and I鈥檓 a tissue bank coordinator here at Bart鈥檚 Cancer Institute.听 And this is our tissue bank.

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Porter

Wow big room, full of deep freezers?

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Roberts

Yeah, so as you can see we鈥檝e got many, many freezers here.

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Porter

I鈥檝e just opened this one up and there must be 鈥� I don鈥檛 know 鈥� I mean there鈥檚 over a hundred samples in there by the look of it.

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Roberts

So as you can see all anonymised.听 So this is minus 80.

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Porter

So much colder than a normal deep freeze.

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Roberts

Exactly, so it鈥檚 very important that to preserve the integrity of the samples they鈥檙e stored at as lowest temperature as possible.听 And the samples 鈥� people can decide what they like to donate, they can donate blood, urine, saliva and also if they go into surgery we can collect biopsy or tissue from them.

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Kairbaan Hodivala-Dilke

So my name is Kairbaan Hodivala-Dilke and I work at the Bart鈥檚 Cancer Institute and I run a lab there.听 Every cancer has got bits of normal tissue associated with it, that we call a stroma and that supports the cancer.听 And in pancreatic cancer about 80% of the cancer is actually normal tissue that鈥檚 supporting that cancer and helping that cancer to grow.

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Porter

And that normal tissue is the scar tissue that Hemant was talking about?

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Kairbaan Hodivala-Dilke

Absolutely.听 So trying to understand that relationship between the normal bit of cancer and the bad bit of the cancer is very important.

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Porter

And that鈥檚 different from most other cancers 鈥� that ratio?

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Kairbaan Hodivala-Dilke

You know people think about cancer as being some kind of alien, some kind of infection, fungus or something but it鈥檚 not, it鈥檚 a bit of our normal tissue that is growing in an uncontrolled way.听 And what we are particularly interested in trying to understand is how that stromal support, how our host or how the body really supports how that cancer grows.听 For example they鈥檒l say that pancreatic cancer is typically resistant to chemotherapy and one of the explanations is that you just can鈥檛 get enough chemotherapy into the tumour because most of it is normal tissue.听 But we haven鈥檛 really got proof of that and we don鈥檛 really know what the drugs are doing once they get into the tumour.听 So we need to understand all of that.

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Porter

You talk about the effects of chemotherapy and everything, that鈥檚 looking at real patients, tumours inside patients, what difference does it make having the samples that you鈥檝e got here, how does it help you do your work?

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Kairbaan Hodivala-Dilke

We鈥檙e trying to understand more and more about what鈥檚 happening to the whole body, so that we can control cancer better.听 So urine samples might be used as some kind of biomarker, so to be able to predict whether the cancer鈥檚 going to be aggressive or not or it could tell us how well a therapy is working, without actually having to do an operation.听 We are interested in particular in the blood vessels in cancer, and you might ask well why do you care, but just like any normal tissue in your body 鈥� your heart or your liver, kidneys 鈥� every single organ needs a blood supply, it needs nutrients, it needs oxygen and cancer鈥檚 the same 鈥� it needs all of those nutrients to grow and to spread.听 But very recently there鈥檚 been an international team and some work from our own group that鈥檚 shown that there are special cells that make up the wall of the blood vessel that actually produce a cocktail of chemicals that they throw out on to the cancer cells and protect the cancer cells from chemotherapy.听 So they鈥檙e making this 鈥� and I like to sort of call it this invisibility cloak, like from Harry Potter 鈥� they鈥檙e making this thing that they throw over the cancer cells, so now the cancer cells are hidden away from the chemotherapy.听 And our work has shown that by modifying one particular gene in these blood vessel cells, called FAK, we can actually stop the cells from making this invisibility blanket and now those tumour cells are out in the open and chemotherapy can attack it better.

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Porter

I can honestly say I think that鈥檚 the first time of a Harry Potter metaphor being used in the world of oncology.

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Kairbaan Hodivala-Dilke

Yeah, I have often thought actually about writing to Rowling and saying to her 鈥� do you realise that you鈥檝e influenced cancer research.

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Porter

Because it鈥檚 such a graphic picture isn鈥檛 it of this tumour crouched under a cloak and that nothing can get to it and it鈥檚 shielded from our attack.

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Kairbaan Hodivala-Dilke

But that鈥檚 exactly what鈥檚 happening.

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Porter

Cancer researcher and Harry Potter fan Professor Kairbaan Hodivala-Dilke. 听And there are more details about the tissue bank on our website

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Now it may seem a bit of clich茅 to say that statins 鈥渉ave had a bad press鈥�, but they have, some people are scared of them and it is having a clinical impact. 听As many as one in five people taking these cholesterol lowering drugs stop them because of side effects like muscle aches and disturbed sleep.听 Side effects that often feature in media stories about statins, and in consulting rooms, but which seem to be nowhere near as commonly reported听 in most clinical trials. 听Could the drug鈥檚 reputation for problems like aching muscles actually increase the odds of people experiencing them, the so called nocebo effect?

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Well that is one conclusion of new research which looked back at a study conducted over a decade ago into ways to reduce the risks of high blood pressure. 听For the first three years volunteers were randomly allocated to a statin or a dummy pill or placebo, so side effects could be directly compared without people knowing what they were taking. 听But it was what happened next that made this trial special.听 Over the final two years everyone was openly offered a statin, so they knew exactly what they were taking. 听And reports of side effects rose significantly.

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Professor Peter Sever from the National Heart and Lung Institute at Imperial College led the research.

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Sever

Our hypothesis, if you like, was that a lot of these side effects might not necessarily be genuinely due to the drug.听 But what we decided to do was look in the two phases of the trial and see what happened.听 And as perhaps expected when they didn鈥檛 know they were taking a statin in the first half of the trial there was no excess of muscle aches and pains.听 But as soon as they got into the second half of the trial and they did know they were taking a statin, as opposed to some of them who decided not to, there was about a 40% excess of complaints of muscle pains.听 We said, well if you try and find a scientific explanation for this it must be the fact that there is a power of suggestion that people when they knew they were taking a stain were much more likely to develop a problem if they had been made aware of it by the media.

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Porter

Well listening down the line from Oxford is Carl Heneghan, who鈥檚 Professor of Evidence Based Medicine at the University of Oxford.听 Carl, might this study鈥檚 findings explain this apparent gulf between what the data have been telling us for some time, that statins are very well tolerated, and what the subjective perceptions out there, both amongst patients and GPs prescribing these drugs?

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Heneghan

I think this trial 鈥� I think it鈥檚 over interpretation to move to the nocebo effect.听 What he鈥檚 done is use a measure which I find very difficult to understand.听 When I teach any of this the first question is 鈥� does this make a difference and by how much in an absolute term.听 And the difference between those on treatment and not treatment was about two to three per thousand patients.听 So what you can see is the absolute difference is very small, we鈥檙e talking about very small numbers of patients here.听 And that鈥檚 one concept which we said the difference between statistical significance and clinical significance 鈥� clinically what does this really mean, is this such a big effect it鈥檚 going to make a huge difference or actually are we talking about very small numbers.听 And we鈥檙e talking about very small numbers between the treated phase and when you didn鈥檛 know you were on the treatment and in the phase when you did know you were on the treatment.

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Porter

Peter, it is a significant difference but it鈥檚 not going to make a lot of difference to my patients鈥�

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Sever

Yeah, no I don鈥檛 agree with that at all actually.听 For a start the way in which we categorised muscle aches and pains was really drilling down to have a very, very precise definition and that鈥檚 why in terms of the percentages of patients who we recorded as having those symptoms was relatively low.听 When we looked at the broader definition the numbers were about 7% per year, so that would be 20% over three years, which is broadly speaking the kind of frequency that you see out in the real world, of patients complaining of muscle aches and pains.

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Porter

But the criteria you use were much tighter鈥�

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Sever

Were much tighter and when we use the broader classification and the numbers were very much greater we still saw an increase in the unblinded treatment.听 Now the actual numbers within the trial are probably not the important thing.听 We were trying to establish a principle here.

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Heneghan

So what鈥檚 crucial is then how actually you ascertain these muscle adverse events in the trial that was 10, 12 years ago.听 I was interested in that because there was only one line in the paper about that.

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Sever

When patients turned up for their clinic visit at the beginning and throughout the trial they were asked 鈥� have you been aware of any problems since you last came to the clinic.听 What we did not do 鈥� we did not say to them 鈥� since you were last seen have you had the following:听 muscle aches and pains, problems with this, problems with sleeping and so on and so forth.

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Heneghan

Which is one of the areas where you could say oh this could influence the recording and the number of events 鈥� is that fair to say?

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Sever

Absolutely correctly yes.

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Heneghan

So when I looked at the prevalence of sleep disorders I actually was quite surprised because it looked like the prevalence was very low compared to the population at large, which up to 30% of people will report sleep disorders.听 But in your paper it was less 鈥� it was like 1% - and that was something where we picked up and went well that鈥檚 incredibly low.

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Porter

What you鈥檙e suggesting is that there were too few people reporting sleep problems, which suggests there鈥檚 a problem with the reporting system?

听

Heneghan

Correct, so if you actually ask the question you鈥檙e more likely to get a more accurate number nearer to the truth.

听

Sever

I would challenge you on whether it鈥檚 the truth or not.听 When we looked in great detail at the complaints and filtered down and made sure that we really were talking about new reports of sleep disorder, those were the figures that we got.听

听

Porter

But I suppose the point being if you don鈥檛 specifically ask people about something, so you鈥檙e waiting for them to report it, you might have underestimated muscle aches, for instance, as well.

听

Sever

Well that is possible but when you see some of the reports of people having incapacitating muscle aches and pains, if that had been the case in our trial we would have detected that.

听

Porter

One other area that鈥檚 caused some trouble in the past with statins, in terms of perception amongst the general public, has been the funding of studies.听 Now looking back at some of the data that was out there a lot of it鈥檚 been funded by the industry, your trial was funded by Pfizer, it wasn鈥檛 set out to answer this question originally.听 Do you think going forward that it would be more helpful if we had independent trials because that鈥檚 an area that the media seem to be picking up on, saying look ah well it鈥檚 funded by a statin company, it would say that wouldn鈥檛 it.

听

Sever

Yes, well what I鈥檝e said in response to some challenges, that the data might have been manipulated or biased and so on, is that I invite anyone to nominate an independent statistician, come to my department to look at my data and if they find any misrepresentation of the data or any bias in the reporting I will resign my job at Imperial College.

听

Porter

Peter Sever and Carl Heneghan.

听

Just time to tell you about next week when we debate the obesity paradox.听 Why is it that overweight and obese people do better after heart surgery?听 And Margaret and I come over all nostalgic in a shed.

ENDS