Literature DB >> 30591065

The SMILES trial: do undisclosed recruitment practices explain the remarkably large effect?

Marc L Molendijk1,2, Eiko I Fried3,4, Willem Van der Does3,5,6.   

Abstract

The SMILES trial showed substantial improvement of depressive symptoms following seven consultations on healthy dieting. The very large effect size on depression reduction seems remarkable and we suggest that selectively induced expectancy and a loss of blinding have contributed to the observed effect.

Entities:  

Mesh:

Year:  2018        PMID: 30591065      PMCID: PMC6309075          DOI: 10.1186/s12916-018-1221-5

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


The recently published SMILES study [1] is the first randomized controlled trial (RCT) to assess the efficacy of a manipulated diet on depression, extending previous studies on single nutrients. The authors conclude that “… dietary improvement guided by a clinical dietician may provide an efficacious treatment strategy for the management of this highly prevalent mental disorder” ([1], p. 1), and that “clinicians should […] consider promoting the benefits of dietary improvement and facilitating access to dietetics support for their patients with depression” ([1], p. 11). At the same time, the authors acknowledge the need for replication while referring to the small sample size of their study (N = 56; about one-third of the sample size pre-specified as required for adequate power). Studying the effects of diet on depression is of considerable public interest [1-4], and we agree that the topic warrants attention. However, we argue below that the results of the SMILES study should not be taken as evidence for diet efficacy given various issues regarding study recruitment and blinding. In the SMILES study, participants were randomized to seven sessions of either dietary support or social support. The dietary condition outperformed the control condition (social support) with an effect size (Cohen’s d) of 1.2, which is four to five times larger than established depression treatments (e.g., cognitive behavioral therapy, d = 0.2–0.3 [5]; antidepressants, d = 0.3 [6, 7]). The pre–post effect size of the diet condition was very large (d = 1.98), whereas the social support condition had an effect size of d = 0.63. Since its publication, the SMILES trial has received considerable attention [8, 9], likely due to the very large effect and the conclusion from SMILES’ senior author in a follow-up article that the trial provides “… intervention evidence supporting causality [for dietary improvement as a treatment strategy for major depressive episodes]” ([4], p. 26). This aligns with other work by some of the SMILES trial team members in which diet and nutrition are conceptualized as a “… central determinant of mental health” ([2], p. 271). The primary outcome in the SMILES trial was change in the severity of depression symptoms, in this case assessed via the interviewer-rated Montgomery–Åsberg Depression Rating Scale (MADRS) [10]. Such outcomes are subjective in nature (the participant is queried about symptoms), and thus susceptible to expectancy effects (defined as results biased by the communication of the expected results [11-14]). When the intervention is non-pharmacological – herein the advice of following a healthy diet – the blinding of conditions in an RCT is hardly possible. In order to minimize expectancy bias, the authors describe that they masked the hypothesis and used a neutral recruitment strategy. Participants were approached (in social media, local newspapers, and radio interviews) with the following message: “We are trialing the effect of an educational and counseling program focusing on diet that may help improve the symptoms of depression” ([1], p. 2). The paper further states that “several strategies were employed to reduce the risk of bias” ([1], p. 5) and that “significant effort was made to mask our hypothesis” ([1], p. 10). In this letter, we argue that there is a mismatch between the reported and the actual recruitment strategy, which becomes clear when comparing the reported and actual recruitment strategies. Through a hyperlink to an external website on the study’s recruitment website [15] (note that there are some differences with current and previous versions), potential participants are presented to a ‘fruit smiley’, composed out of two green apples as eyes, a mandarin as nose, and a banana with the edges pointing up as a smiling mouth [16]. Messages such as: “Bananas look like a smile but can also help you smile because they contain tryptophan which is a mood stabilizer” and “Banana, brazil nuts, broccoli, they all have something in common apart from starting with the letter B. They all contain nutrients which can stabilize mood” are presented alongside. Since no benefits of the control conditioning (befriending) were described, we think that this is anything but a neutral description, which has likely affected expectancy in participants. The study hypothesis was provided at recruitment to potential participants ‘on a platter’, so to speak. Website visitors also learned that “the fear that we are eating our way to depression is prompting governments to take action” [15]. This was accompanied by testimonials, such as “The solution to my depression is good quality food”. In a local newspaper article entitled ‘Diet, Depression, Hope’ [17], published in the recruitment catchment area at time of enrolment, the senior author wrote “if you eat a healthier diet then it reduces your risk on depression”. This article was accompanied by an invitation to participate in the trial and contact details. In summary, the report of the SMILES trial does not seem to adequately describe how study recruitment took place in practice. The befriending condition had a four-time higher drop-out rate than the dietary condition and its pre–post effect size (d = 0.6) is lower than the effect size usually reported for pill–placebo (d = 0.9) [6, 7], likely due to the selective induction of expectancy. This implies that the control condition was not perceived as an equally attractive condition by many participants, indicating selection bias. Given that a purpose of randomization is to prevent this bias from happening [18], we argue that the SMILES trial has essentially lost some of the benefits of randomization and, further, that conclusions that can be drawn from RCTs do not directly follow from the SMILES trial. The SMILES trial investigators discuss that, despite the use of blinded raters, blinding may not have been sufficient. Additionally, the data contains evidence that blinding was imperfect, yet this is not discussed in the article. The pre–post effect sizes of the self-report Hospital Anxiety and Depression Scale and the interviewer-based MADRS are equal in the control condition. However, in the dietary condition, interviewer-rated improvement is much higher than self-reported improvement (d = 0.8 vs. d = 0 in the control condition), suggesting a loss of blinding. In sum, the limitations outlined above, along with what we consider a serious mismatch between the actual and published recruitment strategies [1], means that the SMILES trial does not meet all criteria for an RCT. It must be noted, however, that the notion that a healthy diet may benefit depression has been discussed in media prior to the SMILES trial, and not always with the most critical scientific eye (e.g., [19]). Accordingly, Jacka et al. [1] mention the existence of expectancy effects as a potential limitation in the interpretation of the trial results. Pre-existing expectancies make any trial more difficult and this is certainly not the responsibility of the SMILES investigators, yet what we do consider their responsibility is a correct description of the study procedures. We believe that the SMILES trial falls short in this regard.
  12 in total

1.  Detecting selection bias in randomized clinical trials.

Authors:  V W Berger; D V Exner
Journal:  Control Clin Trials       Date:  1999-08

Review 2.  Nutritional medicine as mainstream in psychiatry.

Authors:  Jerome Sarris; Alan C Logan; Tasnime N Akbaraly; G Paul Amminger; Vicent Balanzá-Martínez; Marlene P Freeman; Joseph Hibbeln; Yutaka Matsuoka; David Mischoulon; Tetsuya Mizoue; Akiko Nanri; Daisuke Nishi; Drew Ramsey; Julia J Rucklidge; Almudena Sanchez-Villegas; Andrew Scholey; Kuan-Pin Su; Felice N Jacka
Journal:  Lancet Psychiatry       Date:  2015-02-25       Impact factor: 27.083

Review 3.  Initial severity of depression and efficacy of cognitive-behavioural therapy: individual-participant data meta-analysis of pill-placebo-controlled trials.

Authors:  Toshi A Furukawa; Erica S Weitz; Shiro Tanaka; Steven D Hollon; Stefan G Hofmann; Gerhard Andersson; Jos Twisk; Robert J DeRubeis; Sona Dimidjian; Ulrich Hegerl; Roland Mergl; Robin B Jarrett; Jeffrey R Vittengl; Norio Watanabe; Pim Cuijpers
Journal:  Br J Psychiatry       Date:  2017-01-19       Impact factor: 9.319

4.  Patient Expectancy as a Mediator of Placebo Effects in Antidepressant Clinical Trials.

Authors:  Bret R Rutherford; Melanie M Wall; Patrick J Brown; Tse-Hwei Choo; Tor D Wager; Bradley S Peterson; Sarah Chung; Irving Kirsch; Steven P Roose
Journal:  Am J Psychiatry       Date:  2016-09-09       Impact factor: 18.112

5.  A new depression scale designed to be sensitive to change.

Authors:  S A Montgomery; M Asberg
Journal:  Br J Psychiatry       Date:  1979-04       Impact factor: 9.319

6.  Randomized trial of the effect of drug presentation on asthma outcomes: the American Lung Association Asthma Clinical Research Centers.

Authors:  Robert A Wise; Susan J Bartlett; Ellen D Brown; Mario Castro; Rubin Cohen; Janet T Holbrook; Charles G Irvin; Cynthia S Rand; Marianna M Sockrider; Elizabeth A Sugar
Journal:  J Allergy Clin Immunol       Date:  2009-07-25       Impact factor: 10.793

7.  Antidepressants versus placebo in major depression: an overview.

Authors:  Arif Khan; Walter A Brown
Journal:  World Psychiatry       Date:  2015-10       Impact factor: 49.548

8.  Treatment expectancies, patient alliance, and outcome: further analyses from the National Institute of Mental Health Treatment of Depression Collaborative Research Program.

Authors:  Björn Meyer; Paul A Pilkonis; Janice L Krupnick; Matthew K Egan; Samuel J Simmens; Stuart M Sotsky
Journal:  J Consult Clin Psychol       Date:  2002-08

9.  A randomised controlled trial of dietary improvement for adults with major depression (the 'SMILES' trial).

Authors:  Felice N Jacka; Adrienne O'Neil; Rachelle Opie; Catherine Itsiopoulos; Sue Cotton; Mohammedreza Mohebbi; David Castle; Sarah Dash; Cathrine Mihalopoulos; Mary Lou Chatterton; Laima Brazionis; Olivia M Dean; Allison M Hodge; Michael Berk
Journal:  BMC Med       Date:  2017-01-30       Impact factor: 8.775

10.  Initial depression severity and response to antidepressants v. placebo: patient-level data analysis from 34 randomised controlled trials.

Authors:  Jonathan Rabinowitz; Nomi Werbeloff; Francine S Mandel; François Menard; Lauren Marangell; Shitij Kapur
Journal:  Br J Psychiatry       Date:  2016-05-19       Impact factor: 9.319

View more
  5 in total

Review 1.  Diet, Stress and Mental Health.

Authors:  J Douglas Bremner; Kasra Moazzami; Matthew T Wittbrodt; Jonathon A Nye; Bruno B Lima; Charles F Gillespie; Mark H Rapaport; Bradley D Pearce; Amit J Shah; Viola Vaccarino
Journal:  Nutrients       Date:  2020-08-13       Impact factor: 5.717

2.  Mental Health Symptom Reduction Using Digital Therapeutics Care Informed by Genomic SNPs and Gut Microbiome Signatures.

Authors:  Inti Pedroso; Shreyas Vivek Kumbhare; Bharat Joshi; Santosh K Saravanan; Dattatray Suresh Mongad; Simitha Singh-Rambiritch; Tejaswini Uday; Karthik Marimuthu Muthukumar; Carmel Irudayanathan; Chandana Reddy-Sinha; Parambir S Dulai; Ranjan Sinha; Daniel Eduardo Almonacid
Journal:  J Pers Med       Date:  2022-07-28

3.  Impact of a farmers' market nutrition coupon programme on diet quality and psychosocial well-being among low-income adults: protocol for a randomised controlled trial and a longitudinal qualitative investigation.

Authors:  Michelle L Aktary; Stephanie Caron-Roy; Tolulope Sajobi; Heather O'Hara; Peter Leblanc; Sharlette Dunn; Gavin R McCormack; Dianne Timmins; Kylie Ball; Shauna Downs; Leia M Minaker; Candace Ij Nykiforuk; Jenny Godley; Katrina Milaney; Bonnie Lashewicz; Bonnie Fournier; Charlene Elliott; Kim D Raine; Rachel Jl Prowse; Dana Lee Olstad
Journal:  BMJ Open       Date:  2020-05-05       Impact factor: 2.692

Review 4.  Linking What We Eat to Our Mood: A Review of Diet, Dietary Antioxidants, and Depression.

Authors:  Qingyi Huang; Huan Liu; Katsuhiko Suzuki; Sihui Ma; Chunhong Liu
Journal:  Antioxidants (Basel)       Date:  2019-09-05

5.  Impact of review method on the conclusions of clinical reviews: A systematic review on dietary interventions in depression as a case in point.

Authors:  Florian Thomas-Odenthal; Patricio Molero; Willem van der Does; Marc Molendijk
Journal:  PLoS One       Date:  2020-09-16       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.