Drugs 'can help mild depression'
It was about this time last year that Irving Kirsch and colleagues released Initial Severity and Antidepressant Benefits. This bombshell of a meta-analysis concluded, notoriously, that the benefits of antidepressants over and above placebo are in general pretty small. Moreover, it claimed that the benefits are even smaller - indeed pretty much zero - in people whose depression is not very severe to begin with.However, Neuroskeptic readers will know that antidepressant trials are not all they're cracked up to be (1,2). On top of which Kirsch et al. were a little "creative" with their statistics, as bloggers P J Leonard and Robert Waldmann aptly demonstrated. So, the claim that antidepressants don't work in mild depression rests on shaky foundations.
But that doesn't mean that they do work. In fact, there have been very few studies looking at the effectiveness of drugs in mild to moderate depression. That's a shame, because mild depression is the most common reason why people are given antidepressants in real life.
Now a new clinical trial, run by the British National Health Service, has appeared. It was (drumroll) a Randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of selective serotonin reuptake inhibitors plus supportive care, versus supportive care alone, for mild to moderate depression with somatic symptoms in primary care.
The researchers enlisted GPs (family doctors) from across the UK, and got them to refer suitable patients to the study. Patients could be included if their doctors considered that they were depressed and had been for at least 8 weeks. They also had to be aged 18 or over, and they had to be rated between 12 and 19 on the HAMD, a scale used to measure the severity of depression. (Slightly oddly, they were also required to show at least some evidence of "somatic" symptoms - aches, pains, indigestion, that kind of thing. I'm not sure why.) Patients were excluded if they "expressed suicidal intent" or if they admitted to drug or alcohol misuse.
A total of 602 patients were referred to the trial, but of these only 220 actually took part; the rest either didn't want to do it or were unsuitable for whatever reason. It took the researchers nearly 4 years and heroic efforts to recruit those 220 people, including reimbursing doctors £45 for each patient referred. This kind of research is frustrating. This is probably why there's so little of it.
The volunteers were randomly assigned to get supportive care alone, or supportive care plus the doctor's choice of SSRI antidepressant. "Supportive care" is basically a euphemism for "doing sweet F. A.". The GPs were meant to see the patients 5 times over a 12 week period; given that a typical GP consultation in the UK lasts about 10 minutes, the idea that this constitutes any kind of "care", supportive or not, is a bit of a joke.What happened? Well, to cut a very long story short, the patients assigned to SSRIs did better than the ones assigned to supportive care alone. Hurrah! But they only did slightly better. After 12 weeks they had a mean HAMD score of 8.7 compared to 11.2 in the supportive care group. The SSRI group also did a bit better on some other measures of health, well-being and general satisfaction. The difference on the BDI, a self-reported measure of depression, was not significant however (13.0 vs. 15.1)
So does that mean antidepressants "work" in mild depression? Maybe. Maybe not. The most obvious issue, of course, is that there was no placebo group in this trial. So any benefit of the pills could have just been psychological. Gettingly randomly assigned to "supportive care" and condemned to twiddle your thumbs for 12 weeks is not going to make anyone feel better. Starting on antidepressants, on the other hand, feels like a fresh start. It gives hope. It's change you can believe in.
But if giving people pills makes them feel better, isn't that good enough reason to do it? Who cares if it's all the placebo effect? Well, there's some truth to that, but the problem is that patients included in this trial were a rather unusual bunch. In particular, they were people who agreed to be randomized to get antidepressants or not, i.e. they had no strong preference either for or against pills.
Given that an awful lot of people do have such a preference, we can't assume that these results apply to the average patient in the clinic. As the authors note (page 59, emphasis mine):
The tallies of surgery logs completed by a number of the study GPs at various points during the study showed that only around 1 in 10 patients with a new episode of depression were referred into the study, mainly because the rest did not fulfil the inclusion criteria, particularly in terms of a lack of equipoise about the benefits of drug treatment on the part of the doctor or patient or both.And of those 602 referred, only about a third actually took part, as mentioned above. So what we have here is a study on an unusual 3% of patients. What about the other 97%? We don't know. Still.
Or don't we? Well, it depends who "we" are. I suspect that a moderately competent doctor with experience treating depression probably does have a good idea of who is likely to benefit from drugs and who isn't. There's no substitute for real, hands-on clinical experience. There's more to life than trials...
14 comments:
Haven't read this yet - but I wonder whether the emphasis on 'somatic' complaints was to do with the old distinction between melancholic and neurotic depression - where the former are generally perceived as benefiting more from antidepressants and the latter from psychotherapy.
Hmm...I'm a big advocate of naturalistic studies but this one really missed a trick by omitting a placebo arm.
People who agreed to be randomised to supportive care alone would presumably have been happy taking a placebo pill.
So, ultimately, this study is essentially worthless for deciding whether to prescribe antidepressants in mild depression - we have no reason to believe that this effect will generalise to everyday practice - the patient expectations, since they were unblinded, could easily account for the apparent effectiveness of the antidepressants.
The authors also state that Kirsch et al found that antidepressants don't differ from placebo until a HAM-D score of 28 or more - which is complete nonsense.
If they didn't want to use a pill placebo arm, they could at least have used some kind of other intervention (psychotherapy or maybe a computerized therapist if they wanted to keep the costs down...)
Another weird thing about this study is that the GPs didn't always go along with the randomization. Only about 90% of the "SSRI arm" actually got SSRIs, and 20% of the "supportive care" arm did in fact get SSRIs. Presumably, these 20% were the ones who seemed most in need of drugs but that kind of defeats the point of the whole thing...
I just love that you are on the blogs, contributing tidbits of real critical thinking in this area. I'm not UK, so have to scratch my head at times over colloquial slang ... but am laughing myself silly just now, as I *think* I've figured out "doing sweet F. A." Who knew the blogs would make me bilingual? :) Thanks!
This is somewhat off-topic but I thought it was rather amusing.
I've seen that "doctor" picture somewhere before... http://www.crooksdesign.co.uk/stock-photography-misuse.html
Ha - glad someone picked up on that. That's why I chose it.
It's the #1 hit when you Google image search for "doctor", large size images. The BNP really are lazy.
I just got a chance to read thru the posts for the last few months, including this fantastic entry: Antidepressants, Placebos and the Failure of Psychiatry. Doesn't it make all the subsequent depression posts a bit moot? If you really think (which I do), that depression is not a single disease and the scales used are "wildly" unreliable, then what is the use of trying to analyze and derive any conclusions from this data?
Regarding the "Failure of Psychiatry" post, are those concerns discussed within the psychiatric research community? Why isn't there a significant effort to adopt more objective and reliable outcome measures? Here is one attempt to do so: http://vismod.media.mit.edu//tech-reports/TR-595.pdf. There are also other mood disorders symptoms, such as cognitive deficits and sleep disturbance, that are amenable to objective measurement.
That's a very good point, Arthur. Actually, I only wrote this post so that I could put up a pic of Christina Ricci.
But also because this present research is subject to lots of problems on top of the flaws in the diagnosis and measurement of depression (no placebo group, very selective sample.)
In fact, this study avoided some of the more common problems with antidepressant trials. It used a range of outcome measures on top of the Hamilton scale, which is good. And it recruited people who were diagnosed as depressed by their own doctors. Given that people who are diagnosed as depressed by their own doctors are the people who take antidepressants, this is a sensible group to recruit...
As for the concerns about antidepressant trials, yes they are discussed amongst academics. I'll put up a list of references at some point. The problem is, there's a lot of talk but not much action. Everyone criticizes the trials but then they go out and keep doing them.
It seems that since Britain has a national health service, one could collect data without subjects or physicians knowing and it would be better data than selecting study subjects which is always problematic.
I saw a couple such studies of suicide and depression among women. Each study used health service data so that none of the study subjects knew they were included. All data were objective criteria such as specific events like visits or referrals for mental health, death records etc. Also the entire population was included. It was basically just data mining. Anyway it seems that diagnosis codes could be used as data points and prescription records etc. It seems a mathematical calculation could tease out the relevant information.
Thanks for pointing out Christina, Neuroskeptic. I was so absorbed by reading the post, I missed the most salient part.
A post providing some insights into the pressures preventing academics from developing new measures and diagnostic criteria would be of great value for those of us, trying to understand what's going on from the outside. Difficulty in obtaining funding? Publishing papers? Inertia?
Arthur: Good idea. I will do once I've done my upcoming posts on the "1 in 4 people are mentally ill" meme.
The short answer though is just inertia and laziness. Nothing more glamorous. People use the Hamilton because it's what everyone uses.
silly girl: Sadly, even if the NHS collected such data (I'm not sure if they do) you'd run into a bureaucratic minefield in the form of the need to get "informed consent" from everyone involved.
Scandinavian countries do have very good databases of this kind, though.
It is not true that the old men and women are more susceptible to depression than their younger counterparts and it must be mentioned that an individual is said to suffer from depression when he exhibits symptoms, namely, hopelessness, chronic tiredness, appetite loss, loneliness, sadness et al for one week or more. Therefore, it is important for you to get hold of right information on depression related details before starting to treat your depression.
great post and thanks for opening the debate. unfortunately most clinical trials exclude most persons who do not meet criteria for depression which is so severe that this question of mild depression goes unanswered. good to heat the question asked and hopefully more research will follow. same would be of interest for mild anxiet offcourse.
regards
associated counsellors & psychologists sydney cbd
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