Anjana Ahuja: Science Notebook
Star musicians and your favourite Times writers at the Albert Hall
There is a way of testing new medicines that allows inferior drugs to come on to the market. I don’t mean inferior in the sense that the drug doesn’t help as many people as an existing medicine; I mean that it can be linked with more deaths than an existing medication, and still be approved.
An excellent paper in The Lancet recently explained how non-inferiority trials work, why they are unethical and why they should be banned. I relay its contents because it is quite possible that you are taking a pill that has travelled this dubious route from laboratory to medicine cabinet.
As the name implies, a non-inferiority trial is designed to prove that the medicine being tested is no worse than an existing medication. The added value is thought to lie not in its effectiveness but in some other aspect: for example, perhaps it needs to be taken once, rather than thrice, daily.
The problem, according to Professor Silvio Garattini and Dr Vittorio Bertele, from the Mario Negri Institute for Pharmacological Research in Milan, arises in the definition of “non-inferiority”. The drug under investigation – let’s call it M – must produce results that are similar to a standard treatment within a prescribed limit.
If this limit is set at 7.5 per cent, it means that a death rate of 7 per cent among the patients taking M is acceptable, even if the death rate among those on the standard treatment is 5 per cent. In a trial of 1,000 patients, that amounts to an extra 20 deaths with M – yet it could still receive a regulator’s blessing. “To expose patients to such risks in the trial, and in real life, with no benefit in exchange, is clearly unethical,” Garattini and Bertele fume.
The only beneficiaries of non-inferiority trials are drug companies, because of lower research and development costs; proving that M is noninferior to the standard can be done more quickly and with fewer patients than proving its superiority. The authors ask: “Why should patients accept a treatment that, at best, is not worse, but could actually be less effective or less safe than available treatments?”
Why, indeed?

–– Last week I received a press release about “the science of wrapping”, including a formula created by a Leicester University student that supposedly calculates how much paper is needed according to the dimensions of the gift. My thoughts on this “revelation” are unprintable.
So, thank you to the Laboratorytalk blog, which offers a more measured appraisal: “(Warwick) Dumas’s discovery . . . is so shallow as to be laughable. . . The whole thing heaps embarrassment and shame upon him, the university and science in general.” The formula was commissioned by a well-known shopping centre. The only thing it proves, Mr Dumas, is that some gift horses are worth looking in the mouth.

Anjana Ahuja joined The Times in 1994, and writes for times2 and the comment pages. In her Science Notebook she writes about science, medicine and technology, and their impact on society. She holds a PhD in space physics from Imperial College, London. She is currently on maternity leave.
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To state that "proving that M is noninferior to the standard can be done more quickly and with fewer patients than proving its superiority", is totally wrong. Non inferiority trials require more patients than superiority trials. This is one of many mistakes in the article. Superiority trials can suffer the same issues in relation to making conclusions about the results. It all relates to the power calculations and method of analysis. For example, the trial design might assume a difference of 30% between the 2 drug tested and the patient numbers are included accordingly. However, if the real difference is 25% and the p value is 0.06 rather, than the magical figure of 0.05. The 2 drugs are are officially not different, even if a 25% difference is clinical relevant,
Ayad Abdul-Ahad, Walchwil, Switzerland
Here here. As the Greeks so deftly put into naming the word itself, Phamakos, is a drug or poison. Miracle cures are the things of fancifulness, increased effectiveness invariably brings more potent side-effects.
As for non-inferiority studies requiring "fewer patients" than a superiority study is a flimsy argument. Sampling theory is based on the market you are researching and is not so black and white. I can't see how it is statistically defensible to use less candidates for one direction of the study (inferiority) and use more for the other (superiority). This might underpin my naivety, I'm a 21-year-old pharmacologist but do they actually get away with this?
Emlyn, London // Vancouver, England // Canada
I don't think so. The more drugs there are in the market, the more competition there will be, and then the lower will be the prices. A lower price means that more people can use the treatment, and then more people will save their lives. Moreover, not only is important the death rate, but also the quality of live the treatment provides to the patients.
John Wayne, Unglintown, Ungland
The assertion that lower R&D costs "only benefit the drug companies" is absurd, because the pharmaceutical market, as far as I know, experiences something known as competition, especially in the specific case you cite. Competition means that lower R&D costs translate into lower costs for us, the people who pay for health care.
Anybody with a rudimentary understanding of the issues would know that A) drug costs are a huge drain on health services worldwide B) Spiralling R&D costs are having a negative impact on research into new drugs and C) Insistence on drugs being "safe" ignores the facts that most drugs benefit many but harm some.
Universal safety is a mirage; what we need is better targeting and follow-up to ensure that they are only taken by patients who will benefit and not given to those who will suffer serious side-effects.
It's also ignorant to disregard the potential benefits of, say, only having to take a drug once a day. Many patients fail to take medicines properly.
David Pritchard, Madrid, Spain