DOI: 10.12809/hkmj154738
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
COMMENTARY
Please please me
SW Choi, PhD; David MH Lam, MB, ChB
Department of Anaesthesiology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong
Corresponding author: Dr SW Choi (htswchoi@hku.hk)
The placebo effect is getting stronger. The
pharmaceutical industry spends billions of dollars
on drug development each year,1 2 culminating in phase III trials whose aim is to prove the superior
effectiveness of a new drug to a placebo. Many
phase III trials have been discontinued, however,
because the test drug was no better than placebo, at
an estimated loss of half a billion US dollars. But if
the placebo effect is all in the mind,3 4 how can it be getting stronger?
The very existence of a placebo effect is a
point of contention for many scientists, with some
vehemently stating that there is no such thing,
and others claiming to have identified a ‘placebo
gene’.5 From the Latin for “I will please”, the placebo effect is defined as any health effect measured
after an intervention that is something other than
a physiological response to a biologically active
treatment. Although the ‘placebo effect’ has long
been recognised, scientists only began to pay
attention to it after the call for standardisation of
clinical trials by the Cornell Conferences on Therapy
in 1946.6 Factors that contribute to the measured
placebo effect will differ depending on the situation,
and a larger placebo effect may be seen with a
subjective outcome, for example, pain, general wellbeing,
and depression scores.3 When the outcome
is more physiological, the placebo effect becomes
smaller (or disappears), for example, in cancer or
infectious disease trials.
Opponents to the existence of a placebo effect
argue that its effects as measured in clinical trials
are a combination of several other factors, including
natural healing, where pathological conditions heal
spontaneously, and regression to the mean, where
the inclusion of patients with very high or very
low values at the start of a study gives the illusion
that statistical variation in later measurements is
due to the effect of the treatment.7 Other possible
explanations include the Hawthorne effect, when
participants in a study change their behaviour, simply
because they are in a study, or report better outcomes
to please the clinicians/researchers conducting the
study.8 Opponents believe that the placebo effect has
been observed to be ‘stronger’ in recent clinical trials
because trials are now better conducted, with true
randomisation and participant/investigator blinding.
Or it could be that drugs involved in discontinued
phase III trials were simply not that effective.
Proponents of the placebo argue that not only
is it effective for various conditions, from pain and
depression to irritable bowel syndrome, but the
placebo can be administered without deception.
In other words, the sugar pill can work, even when
patients know they have been prescribed a placebo.9
Supporters argue that because the placebo effect is
so potent, treatments such as homeopathy, which
has been shown countless of times to be no better
than placebo in randomised controlled trials, should
not be discontinued because it is effective, even if the
treatment does nothing more than elicit a placebo
response. A recent paper published in Science
reviews the genetic basis of the placebo effect.10
Although a small study (104 subjects divided
into three treatment groups), the review outlined
how Hall et al11 found a linear relationship between
polymorphisms in the gene encoding for catechol-O-methyltransferase
(COMT) and the placebo response.
The COMT enzyme breaks down catecholamines,
and a common polymorphism can dictate either a
valine (val), or methionine (met) at the amino acid
position 158. It has been well-established that the
met/met form of COMT is less active, leading to
higher concentrations of dopamine, and individuals
with the met/met form have been correlated to
higher levels of performance in cognitive tests when
compared with individuals with the val/val variant.
Hall et al11 showed that individuals with the met/met
variant responded well to placebo, those with val/val
showed little placebo response, and those with heterozygous (val/met) variant showed an intermediate response.
The placebo response has been linked to dopamine
release, and since the met/met variant of COMT is 3
to 4 times less efficient at breaking down dopamine,
it may result in higher dopamine in the system,
leading to a more intense feeling of pain relief in Hall
et al’s study, regardless of whether the patient was
assigned the active drug, or placebo.
Hall et al’s finding11 led colleagues at the Beth Israel Deaconess Medical Centre to file a patent on
the concept of screening for, and then excluding,
participants based on their COMT polymorphism
before enrolling them into a clinical trial. If
researchers can identify responders to the placebo,
and exclude them from trials, they would have to
recruit fewer participants and would see a bigger
effect between the treatment and placebo arms,
effectively shrinking the financial resources required
for the clinical trial.
Although some of us may question the ethical
issues involved in pre-screening of trial participants
in such a way, this recent patent application is only
one of several filed for clinical trial designs that can
minimise the placebo effect. Other methods include
what is known in the industry as a placebo run-in,
where everybody is given a placebo at the beginning,
and those participants who ‘get too much better’
are subsequently dropped from the trial when the
participants are later randomised to the different
arms. These strategies have not only led us to
question the wording used on the informed consent
form but also the subsequent regulations regarding
the marketing of drugs that have been trialled in this
way. When data are presented to drug regulatory
bodies, will the regulators only allow these drugs to
be used in those individuals with proven inability to
respond to placebo?
References
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and what we can do about it. Mayo Clin Proc 2012;87:935-43. Crossref
2. Kaitin KI. Deconstructing the drug development
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2010;87:356-61. Crossref
3. Howland RH. Understanding the placebo effect. Part 1:
placebo use in clinical trials. J Psychosoc Nurs Ment Health
Serv 2008;46:17-20. Crossref
4. Miller FG, Colloca L, Kaptchuk TJ. The placebo effect:
illness and interpersonal healing. Perspect Biol Med
2009;52:518-39. Crossref
5. Hall KT, Loscalzo J, Kaptchuk TJ. Genetics and the placebo
effect: the placebome. Trends Mol Med 2015;21:285-94. Crossref
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10. Servick K. Outsmarting the placebo effect. Science
2014;345:1446-7. Crossref
11. Hall KT, Lembo AJ, Kirsch I, et al. Catechol-O-methyltransferase
val158met polymorphism predicts
placebo effect in irritable bowel syndrome. PLoS One
2012;7:e48135. Crossref