
Surprisingly, it has nothing to do with psychoanalysis. Rutherford and colleagues performed a meta-analysis of lots of clinical trials of antidepressants. Neuroskeptic readers will be all too familiar with these. But they did an interesting thing with the data: they compared the benefits of antidepressants in trials with a placebo condition, vs. trials with no placebo arm, such as trials comparing one drug to another drug.
Why do that comparison? Because the placebo effect is likely to be stronger in trials with no placebo condition. If you volunteer for a placebo controlled trial, you'll know that you've got (say) a 50-50 chance of getting inactive sugar pills. You'll probably be uncertain whether or not you'll get better, maybe even quite worried. On the other hand if you're in a trial where you definitely will get a real drug, you can rest assured that you'll feel better - and that in itself might make your depression improve.
The paper only presents very preliminary results, but they say that:
Our group at Columbia has completed preliminary work involving metaanalyses of randomized controlled trials comparing antidepressant medications to a placebo or active comparator in geriatric outpatients with Major Depressive Disorder (Sneed et al. 2006). In placebo controlled trials, the medication response rate was 48% and the remission rate 33%, compared to a response rate of 62% and remission rate of 43% in the comparator trials (p < .05). The effect size for the comparison of response rate to medications in the comparator and placebo controlled trials was large (Cohen’s d = 1.2).They only looked at trials of old age patients, but the same probably applies to everyone else.
Why does this matter? The authors suggest one very important implication. There are quite a few trials nowadays comparing the effects of psychotherapy, medication, neither, or both. How it works is that everyone gets pills, 50% of them real drugs and 50% placebos; also, half the people get psychotherapy while the others remain on the waiting list.
These trials often find that medication plus psychotherapy is better than just medication alone. This has led to the idea that therapy and drugs should be combined in clinical practice, a message which goes down really well, because it gives both psychopharmacologists and therapists the feeling that they have an important job to do. An example of this kind of trial is the influential TADS from 2004, finding that Prozac and therapy both work in depressed teens, and combining them is best. Everyone's a winner.
But as Rutherford et al. point out, there's a problem with this reasoning. The people who only get antidepressants don't know that they're getting any treatment, because they might be getting placebo. But the people who get antidepressants and therapy know that they're getting at least one real treatment (therapy). This is likely to improve their outcome through an expectation effect. (In fact, for some reason, in TADS, the people on combination treatment were told that they were getting both - they specifically knew they would never get dummy pills - which will have made this even worse.)
Now you could say that this doesn't matter: TADS and similar studies show that therapy and medication is better than just medication, and it's purely academic whether that's "just a placebo effect". But the key point is that in real life people always get medication knowing that it's real - so, like the therapy plus medication people in the trials, they get the benefit of the certainty that they are getting a real treatment. In the trials the medication-only group don't know that, but in real life they do - so the benefits of adding psychotherapy might be less, or even zero, in real life.
The authors of the TADS study did acknowledge this in their original paper, but only very briefly - here's all they say about it:
Blinding patients in the placebo and fluoxetine alone groups but not in the CBT alone group (participants knew they would not be receiving fluoxetine) and the fluoxetine combined with CBT group (participants knew that they would be receiving fluoxetine) may have interacted with expectancy effects regarding improvement and acceptability of treatment assignment.

8 comments:
I've always been perplexed about why the automatic assumption is made that the placebo effect in depression trials is an actual improvement in the underlying condition. Of course, the alternative explanation would be that the subjects can't accurately measure things like mood over extended periods of time, but report improvements due to various biases. For example, they might pay more attention to memories of positive mood, feel pressure to please the experimenters, be influenced by expectations of improvement, etc. There is some highly circumstantial evidence to back the "bias" interpretation. This review of placebo effects across multiple conditions, found that placebo effects were larger in conditions with patient-involved outcomes. In one highly publicized meta-analysis of depression trials, the placebo effect size decreased for patients with more severe depression (perhaps less uncertainty leads to less bias).
Why prefer one assumption over the other? Given that you can't resolve this issue if you only have self-report measures, wouldn't the only reasonable scientific position be that we just don't know?
I absolutely agree... I just didn't mention those concerns in this post as I think they're a seperate issue. But yes it's certainly a problem and one of the reasons why I'd prefer trials to use some kind of "real" outcome, like whether or not you're in work, hospitalization, etc.
On a sidenote, it's a given that there is always the potential for placebo effect when taking genuine medicine. People who are prescribed antidepressents know they're getting treatment, so ironically, the higher outcomes of the non-placebo-controlled trials are closer to the likely realworld experience of patients on those particular drugs.
"In one highly publicized meta-analysis of depression trials, the placebo effect size decreased for patients with more severe depression (perhaps less uncertainty leads to less bias)."
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Exactly. The sicker you are, the less likely the placebo effect is going to come into play. In my view, the placebo effect is overrated precisely because of a failure to distinguish between mild and severe cases of depression (or any other disorder).
Dirk:
With all DUE respect, the recent JAMA study comparing antidepressants to placebo revealed only a "modest" divergence from placebo conditions with those rated as "VERY Severely" depressed. No statistically significant separation was evident for "mild, moderate, and severe" depressed groups versus placebo. I agree that placebos would not be expected to "cure" severe psychiatric conditions like schizophrenia. But, unlike you, I find the antidepressant effect wildly overrated versus placebo for most depressives.
but when dealing with psychological disorders such as depression, what is an objective test? The primary symptom is sadness and reduced pleasure/interest in daily activities. This, by definition, is subjective. It would not matter one bit if you showed some improvement on an objective depression measure but the person still felt as miserable as ever - threatening their marriage and so forth.
I agree that we should always strive for objective measurement, but let's not throw the baby out with the bathwater.
Also, my memory was that CBT was more cost-effective than pharmacotherapy? Well, at least in my health system (DOI: 10.1111/j.1440-1614.2005.01652.x).
Anonymous:
Reasonable minds differ. See for example the excellent Time magazine article by Maia Szalavitz:
"Most recently, a headline-grabbing Journal of the American Medical Association (JAMA) paper published in January found that antidepressants worked no better than a placebo in patients with mild or moderate depression (but the study did conclude that medication helped the most persistent and severe cases)."
http://www.time.com/time/health/article/0,8599,1991841,00.html
I agree with a researcher named Joanna Moncrieff. She believed that most tests for depression are in fact measuring anxiety more than depression.Depression needs to be defined better before one can measure it.
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