How do you fancy playing a little game? Close your eyes, relax, take a minute or two and imagine the newspaper headlines which new medical discoveries might make within the next 100 years or so. I know, this is a slightly silly and far from serious game but, I promise, it’s quite good fun.
Personally, I see the following headlines emerging in front of my eyes:
VACCINATION AGAINST AIDS READY FOR ROUTINE USE
IDENTIFICATION OF THE CAUSE OF DEMENTIA LEADS TO FIRST EFFECTIVE CURE
GENE-THERAPY BEGINS TO SAVE LIVES IN EVERY DAY PRACTICE
CANCER, A NON-FATAL DISEASE
HEALTHY AGEING BECOMES REALITY
Yes, I know this is nothing but naïve conjecture mixed with wishful thinking, and there is hardly anything truly surprising in my list.
But, hold on, is it not remarkable that I visualise considerable advances in conventional healthcare but no similarly spectacular headlines relating to alternative medicine? After all, alternative medicine is my area of expertise. Why do I not see the following announcements?
YET ANOTHER HOMEOPATH WINS THE NOBEL PRIZE
CHIROPRACTIC SUBLUXATION CONFIRMED AS THE SOLE CAUSE OF MANY DISEASES
CHRONICALLY ILL PATIENTS CAN RELY ON BACH FLOWER REMEDIES
CHINESE HERBS CURE PROSTATE CANCER
ACUPUNCTURE MAKES PAIN-KILLERS OBSOLETE
ROYAL DETOX-TINCTURE PROLONGS LIFE
CRANIOSACRAL THERAPY PROVEN EFFECTIVE FOR CEREBRAL PALSY
IRIDOLOGY, A VALID DIAGNOSTIC TEST
How can I be so confident that such headlines about alternative medicine will not, one day, become reality?
Simple: because I only need to study the past and realise which breakthroughs have occurred within the previous 100 years. Mainstream scientists and doctors have discovers insulin-therapy that turned diabetes from a death sentence into a chronic disease, they have developed antibiotics which saved millions of lives, they have manufactured vaccinations for deadly infections, they have invented diagnostic techniques that made early treatment of many life-threatening conditions possible etc, etc, etc.
None of the many landmarks in the history of medicine has ever been in the realm of alternative medicine.
What about herbal medicine? Some might ask. Aspirin, vincristine, taxol and other drugs originated from the plant kingdom, and I am sure there will be similar such success-stories in the future.
But were these truly developments driven by traditional herbalists? No! They were discoveries entirely based on systematic research and rigorous science.
Progress in healthcare will not come from clinging to a dogma, nor from adhering to yesterday’s implausibilites, nor from claiming that clinical experience is more important than scientific research.
I am not saying, of course, that all of alternative medicine is useless. I am saying, however, that it is time to get realistic about what alternative treatments can do and what it cannot achieve. They will not save many lives, for instance; an alternative cure for anything is a contradiction in terms. The strength of some alternative therapies lies in palliative and supportive care and not in changing the natural history of diseases.
Yet proponents of alternative medicine tend to ignore this all too obvious fact and go way beyond the line that divides responsible from irresponsible behaviour. The result is a plethora of bogus claims – and this is clearly not right. It raises false hopes which, in a nutshell, are always unethical and often cruel.
Science has seen its steady stream of scandals which are much more than just regrettable, as they undermine much of what science stands for. In medicine, fraud and other forms of misconduct of scientists can even endanger the health of patients.
On this background, it would be handy to have a simple measure which would give us some indication about the trustworthiness of scientists, particularly clinical scientists. Might I be as bold as to propose such a method, the TRUSTWORTHINESS INDEX (TI)?
A large part of clinical science is about testing the efficacy of treatments, and it is the scientist who does this type of research who I want to focus on. It goes without saying that, occasionally, such tests will have to generate negative results such as “the experimental treatment was not effective” [actually “negative” is not the right term, as it is clearly positive to know that a given therapy does not work]. If this never happens with the research of a given individual, we could be dealing with false positive results. In such a case, our alarm bells should start ringing, and we might begin to ask ourselves, how trustworthy is this person?
Yet, in real life, the alarm bells rarely do ring. This absence of suspicion might be due to the fact that, at one point in time, one single person tends to see only one particular paper of the individual in question – and one result tells him next to nothing about the question whether this scientist produces more than his fair share of positive findings.
What is needed is a measure that captures the totality of a researcher’s out-put. Such parameters already exist; think of the accumulated ”Impact Factor” or the ”H-Index”, for instance. But, at best, these citation metrics provide information about the frequency or impact of this person’s published papers and totally ignore his trustworthiness. To get a handle on this particular aspect of a scientist’s work, we might have to consider not the impact but the direction of his published conclusions.
If we calculated the percentage of a researcher’s papers arriving at positive conclusions and divided this by the percentage of his papers drawing negative conclusions, we might have a useful measure. A realistic example might be the case of a clinical researcher who has published a total of 100 original articles. If 50% had positive and 50% negative conclusions about the efficacy of the therapy tested, his TI would be 1.
Depending on what area of clinical medicine this person is working in, 1 might be a figure that is just about acceptable in terms of the trustworthiness of the author. If the TI goes beyond 1, we might get concerned; if it reaches 4 or more, we should get worried.
An example would be a researcher who has published 100 papers of which 80 are positive and 20 arrive at negative conclusions. His TI would consequently amount to 4. Most of us equipped with a healthy scepticism would consider this figure highly suspect.
Of course, this is all a bit simplistic, and, like all other citation metrics, my TI provides us not with any level of proof; it merely is a vague indicator that something might be amiss. And, as stressed already, the cut-off point for any scientist’s TI very much depends on the area of clinical research we are dealing with. The lower the plausibility and the higher the uncertainty associated with the efficacy of the experimental treatments, the lower the point where the TI might suggest something to be fishy.
A good example of an area plagued with implausibility and uncertainty is, of course, alternative medicine. Here one would not expect a high percentage of rigorous tests to come out positive, and a TI of 0.5 might perhaps already be on the limit.
So how does the TI perform when we apply it to my colleagues, the full-time researchers in alternative medicine? I have not actually calculated the exact figures, but as an educated guess, I estimate that it would be very hard, even impossible, to find many with a TI under 4.
But surely this cannot be true! It would be way above the acceptable level which we just estimated to be around 0.5. This must mean that my [admittedly slightly tongue in cheek] idea of calculating the TI was daft. The concept of my TI clearly does not work.
The alternative explanation for the high TIs in alternative medicine might be that most full-time researchers in this field are not trustworthy. But this hypothesis must be rejected off hand – or mustn’t it?