Trials Comparing Treatments for Depression Favor Pharmacotherapy when Statisticians Involved

A meta-analysis looks at the effects of researcher background on study findings for trials comparing pharmacotherapy and psychotherapy for depression

Shannon Peters
4
735

A new study, published in PLoS ONE, investigates the effect of researcher specialization and affiliation on study results in trials comparing pharmacotherapy and psychotherapy for depression. The results of the meta-analysis indicate that having statisticians or epidemiologists as authors is connected to more positive findings for pharmacotherapy. The authors report this finding is small yet significant and state:

“Nevertheless, one factor that does seem to override variables related to the specialization and affiliation of trial authors is financial support from the pharmaceutical industry.”

Photo Credit: Flickr

Studies comparing psychotherapy and pharmacotherapy often conclude that the two treatments are equally effective in treating depression. Many have recently addressed the role of financial conflicts of interest (e.g., research funding or payments researchers receive from pharmaceutical industry) in biasing study findings (see here, here, and here). However, less attention has been paid to the characteristics of investigators themselves, such as whether the investigators are psychiatrists or psychologists. Research has also suggested that when statisticians are part of research teams they may help reduce bias and prevent errors in statistical analysis. The authors state:

“In the oft-cited bio-psycho-social model of mental disease, psychotherapy emphasizes the psychosocial component, while pharmacotherapy the biological one. The discrepancy leads to conjectures about the individuals conducting trials confronting these treatments, and their own preferred assumptions, which may bias them, even outside awareness, towards favoring one type of intervention over the other.”

In the first attempt to investigate the effect of author background on pharmacotherapy versus psychotherapy study findings, the authors conducted a meta-analysis. The authors included 45 randomized trials from 1966 to 2015 that directly compared psychotherapy to antidepressant medication for treating depression.

The lead author was a psychologist or social scientist in 20 studies and a psychiatrist or MD in 23 studies. Last authors were more varied (15 psychiatrists, 9 psychologists, 9 other MDs, 9 statisticians/epidemiologists/other technical, 1 economist). The majority of first (n = 34) and last (n = 37) authors had medical affiliations. Only 3 studies were authored by all psychologists and 10 were authored by no psychologists. Statisticians, epidemiologists, or other technical professionals were authors in 21 of the studies.

The researchers report their strongest finding that “subgroup and univariate analyses consistently revealed a pattern regarding authors that were statistician/epidemiologists/other technical professions. Studies in which these authors were in lead positions (last authors) found significantly more favorable results for pharmacotherapy.” They identify the effect as “a small statistically significant advantage of pharmacotherapy over psychotherapy (g = -0.25, 95% CI -0.37 to -0.14).” Also, the more statisticians or epidemiologists involved, the stronger the effects.

These findings contradict previous research that found the presence of a statistician is linked to fewer positive results for pharmacotherapy. The authors suggest that differences in how “statistician” was defined may account for this discrepancy. The authors also postulate that medical professionals are more likely to include statisticians in their research than psychologists. The authors caution strong conclusions based on this finding since “the effect was small in magnitude and only borderline significant in multivariate analysis.”

Still, they state:

“Given that the presence of statisticians or other such professions could be viewed as providing additional reassurance in the quality of data analysis, with recommendations having been made in this sense, these results may imply that pharmacotherapy has somewhat better outcomes than psychotherapy.”

In addition, the researchers find that financial conflict of interest (present in 15 studies) is associated with preference for pharmacotherapy over psychotherapy. The authors conclude, “it would seem that receiving funding from the industry is more closely related to finding better outcomes for the industry’s elective treatment than factors having to do with the author background.”

This study is “the first to take on the painstaking task of describing and classifying the background of authors of reports of clinical trials for depression” and the authors hope their study design and findings can be helpful to future researchers.

 

****

Cristea, I. A., Gentili, C., Pietrini, P., & Cuijpers, P. (2017). Is investigator background related to outcome in head to head trials of psychotherapy and pharmacotherapy for adult depression? A systematic review and meta-analysis. PLoS ONE, 12(2), e0171654. (Abstract)

Previous article“Active Minds” — What Conversation Are We Changing?
Next articleI do Hate to Tell you This, but…
Shannon Peters
MIA-UMB News Team: Shannon Peters is a doctoral student at the University of Massachusetts Boston and has a master’s degree in mental health counseling. She is particularly interested in exploring the impacts of medicalization and pathologizing the experiences of individuals who have been affected by trauma. She is engaged in research on the effects of institutional corruption and financial conflicts of interest on research and practice.

Support MIA

Enjoyed what you just read? Consider a donation to help us continue to produce content, provide up-to-date research news, offer continuing education courses, and continue building a community for exploring alternatives to the current paradigm of mental health. All donations are tax deductible.

$
Select Payment Method
Loading...
Personal Info

Credit Card Info
This is a secure SSL encrypted payment.

Donation Total: $20.00

4 COMMENTS

    • Great comment!

      The title of this article misses the central point here. The problem here is NOT that statisticians tend to be biased. It is rather the negative influence of money (in a profit based system) and the power of Psychiatry and Big Pharma corrupting statisticians and the scientific process.

      Richard

  1. Testing people for depression, and treating that as something to be ‘cured’.

    This is psychiatric policing and the medicalization of people’s experience.

    Can you tell me any reason why involvement in this should not be prosecuted as Crimes Against Humanity in the International Court?

    Nomadic