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Protocol for a systematic review and meta-analysis of the placebo response in treatment-resistant depression: comparison of multiple treatment modalities
  1. Brett D M Jones1,2,
  2. Cory R Weissman1,2,
  3. Lais B Razza3,4,
  4. M Ishrat Husain1,2,
  5. Andre R Brunoni3,4,
  6. Zafiris J Daskalakis5
  1. 1Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
  2. 2Psychiatry, University of Toronto, Toronto, Ontario, Canada
  3. 3Department of Internal Medicine, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
  4. 4Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina, University of Sao Paulo, Sao Paulo, Brazil
  5. 5Psychiatry, University of California San Diego, San Diego, California, USA
  1. Correspondence to Dr Zafiris J Daskalakis; zdaskalakis{at}health.ucsd.edu

Abstract

Introduction The high placebo response in depression treatment trials is a major contributing factor for randomised control trial failure to establish efficacy of novel or repurposed treatments in treatment-resistant depression (TRD) and major depressive disorder in general. Though there have been a number of meta-analyses and primary research studies evaluating the placebo response in non-TRD, placebo response in TRD is poorly understood. It is important to understand the placebo response of TRD as treatments are only moderately effective and up to 1/3 of patients will experience TRD.

Methods and analysis We will conduct a search of electronic databases (MEDLINE and PsychINFO) from inception to 24th January 2020 including randomised, placebo-controlled trials of pharmacological, somatic and psychological interventions for adults with TRD. TRD will be defined as a failure to respond to at least two interventions of adequate dose or duration. We will also search reference lists from review articles. We will perform several meta-analyses to quantify the placebo response for each treatment modality. Regression analysis will explore potential contributing demographic and clinical variables to the placebo response. We will use Cochrane risk of bias tool.

Ethics and dissemination There is no research ethics board approval required. The dissemination plan is to publish results in a peer-reviewed academic journal.

PROSPERO registration number 190 465.

  • depression & mood disorders
  • adult psychiatry
  • clinical trials
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Strengths and limitations of this study

  • This analysis will be the first to exclusively study the placebo response in treatment-resistant depression.

  • We will seek to quantify the placebo response among distinct treatment modalities.

  • The study will assess a large number of variables that may contribute to the placebo response.

  • Direct statistical comparison between the placebo response of treatment modalities will not be done given the significant heterogeneity among treatment modalities.

Introduction

The placebo response is the therapeutic effect produced by a placebo intervention that is not due to any inherent properties of the placebo itself. The high placebo response in large depression treatment trials is a major contributing factor for randomised control trial (RCT) failure to establish efficacy of novel and repurposed treatments.1 There have been several studies attempting to determine patient and study variables contributing to the placebo response in non-treatment-resistant depression (TRD). Variables found to contribute to the placebo response include year of publication, baseline severity, probability of being allocated to placebo arm, number of clinic centres, dosing schedule, length of trial, the magnitude of active response, early score fluctuations and inflation of baseline severity.2–10 The largest meta-analysis to date (252 studies, pooled n=26 324) reported that the placebo response rate of antidepressant medications has been stable over the last thirty years and ranges between 35% and 40%.11 While the placebo response is extensively investigated in non-TRD, there is a paucity of research into the magnitude of the placebo response in TRD.

TRD is defined by a lack of response to at least two separate treatments and imposes a heavy burden on the individual, their families and society, through decreased quality of life, increased morbidity and direct/indirect medical costs.12 13 It is important to integrate novel treatments into clinical practice; however, a high placebo response and negative clinical trials have led to a delay in this regard. To address this gap, it is important to characterise and understand the placebo response in TRD. Two meta-analyses have explored the placebo response in repetitive transcranial magnetic stimulation trials, including patients with TRD and non-TRD, which reported a large placebo response.14 15 To date, these are the only studies attempting to characterise the placebo response in TRD.

Currently, there is not a clear understanding as to what the placebo response in TRD is, what contributes to it and how it may differ across various treatment modalities. Hence, we will complete a systematic review and meta-analysis of randomised, placebo-controlled trials in TRD. Our primary objective will be to characterise the placebo response in TRD across various treatment modalities. Our exploratory aim will be to determine any demographic, clinical and methodological characteristics that contribute to it. Characterising and understanding what contributes to the placebo response in TRD are a crucial step towards the advancement of emerging treatments as well as potentially harnessing the placebo response for patients.

Methods and analysis

This protocol will be developed and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.16

Eligibility criteria

Participants and setting

We will include RCTs that recruited patients with TRD of any gender and between 18 and 65 years old. TRD will be defined as patients with major depressive disorder (MDD) as defined by the Diagnostic and Statistical Manual of Mental Disorders III, IV, IV-R and V or International Classification of Diseases 9–10 that are currently in a depressive episode.17–19 Patients must have failed at least two trials of antidepressant medication within the current depressive episode with adequate dose and duration. Within class switches, for example, two selective serotonin reuptake inhibitors will be included as part of the TRD staging.20 Failed psychotherapy or brain stimulation trials will be included in the TRD staging. If a study reported that they included patients with two failed trials, but did not indicate whether this occurred within the current depressive episode, the study will be included as this is the most consistent definition of TRD.21–23 Patients from any setting (ie, inpatient or outpatient) will be included. Psychiatric comorbidity will be included, if MDD is the primary psychiatric disorder being treated.

We will exclude studies that recruited patients with bipolar depression, unless 15% or less of the patients randomised have bipolar depression, and patients diagnosed with primary psychotic illness or active substance use disorders. Patients with neurological disorders, physical comorbidities or medical conditions will only be excluded if these diagnoses are the primary diagnosis (eg, MDD in patients with diabetes or MDD in patients with multiple sclerosis). Studies with sample sizes less than 10 subjects24 and studies that use a non-inert placebo will also be excluded.

Interventions

We will include pharmacological and somatic therapies that are included in the Maudsley Treatment Inventory.25 This inventory is derived from the Maudsley Prescribing Guidelines as well as other standardised guidelines for depression treatment. We will also include novel and repurposed agents that have multiple meta-analysis supporting their use.

For psychological agents, we will include those from the National Institute for Health and Care Excellence (NICE) guidelines, which include computerised or face-to-face cognitive behavioural therapy, behavioural activation, interpersonal therapy, manualised psychodynamic therapy, behavioural couples therapy, cognitive behavioural analysis system of psychotherapy or mindfulness-based cognitive therapy.22

Comparator

Trials include a placebo arm. Placebo will be defined as an inert oral medication, parental medication, sham device or sham therapy that does not include any theoretical active property to induce the proposed therapeutic effect. Wait-list or treatment as usual will not be considered a placebo group for therapy trials.

Study designs and publication types

We will only include parallel-arm, randomised, double-blind placebo-controlled trials. We will include cross-over studies if they report outcomes before the cross-over. Trials must include randomisation to at least one placebo arm.

Language and timeframe

Studies to be included will be published in English or Portuguese. Attempts to translate other languages will also be made. Timeframe of included studies will be from the date of inception until 24th January 2020.

Information source and search strategy

The electronic databases MEDLINE and PsychINFO will be searched. Key terms, notable papers and citation lists will also be reviewed for additional studies. The following search terms will used in addition to mapping key terms: (depress* OR MDD OR major depress*) AND (resistan* OR refractor* OR non-respon* OR nonrespon* OR un-respon* OR unrespon* OR TRD OR fail* OR inadequate OR difficult OR intractable) AND (Placebo OR sham OR control OR controlled) AND (randomi* OR RCT) AND (treatment OR intervention OR trial).

Study records

Study selection and data extraction

Two authors will independently screen the abstracts and full texts to decide on their inclusion based on predefined inclusion criteria. Any discrepancies of inclusion or extraction will be discussed between the two authors, and a third author will resolve any further conflicts. Two authors will then extract data, which will include description of the interventions and control group, demographics, clinical data and quality assessment.

Outcomes

Primary outcome

The primary outcome will be ‘placebo response’ as measured by Hedges’ g effect size of the change in the primary outcome variable (ie, depression symptom rating scales) from baseline to primary endpoint. Where multiple outcomes are reported, the primary outcome for inclusion in analyses will be selected in a hierarchical fashion: the most preferable scale will be a clinician-rated assessment of depression severity (Hamilton Depression Rating Scale, Montgomery-asberg depression rating scale, Quick inventory of depression symptomatology, or validated subscales of these), followed by a patient-rated measure (Patient Health Questionaire-9, or Beck Depression Inventory). Where multiple endpoints are reported, this review will consider the acute endpoint as the primary endpoint. If the study only reports a delayed endpoint, this will be recorded and controlled for.

Secondary outcomes

  1. Response rate measured by the percentage of patients who had a reduction of ≥50% of the total score on a standardised rating scale for depression.

  2. Remission rates as measured by a standardised rating scale for depression.

Assessment of risk bias

We will use the Cochrane risk of bias tool. This tool assesses bias across five domains (selection, performance, attrition, reporting and others). A sensitivity analysis will assess the difference in statistical effects between studies with overall high and low risk of bias.

Data synthesis

Qualitative data will be analysed, and sufficiently, homogenous studies will be aggregated based on similarity of patient characteristics, treatment modality and study design. We will conduct a pairwise meta-analysis within each modality. Placebo effect size will be determined by Hedges’ g, which will be calculated based on reported means and SD from baseline and endpoint of each study. A random-effect model will be used to perform this calculation. When necessary, we will impute SD based on graphs, SE or CI provided in the published reports. The pooled effect size for each study will be calculated by the inverse variance of each study.

We will perform an explanatory analysis on factors affecting the placebo response using a univariate meta-regression. Several univariate meta-regressions will be performed for each treatment modality. Factors chosen will be dependent on data availability; however, examples include methodological factors, publication year, number of study sites, study setting, number of treatment arms, industry sponsorship, duration of study, number of days receiving placebo, augmentation versus monotherapy treatment strategy and study quality, as well as demographic factors (eg, age, gender and race/ethnicity) and clinical factors (eg, number of failed trials in the current episode, recurrence of illness, age of onset, baseline severity and effect size of the active group). For univariate meta-regression analyses, significant values will be considered as p<0.05.

We will perform sensitivity analysis and cumulative regression and assess publication bias using Begg-modified funnel plot and Egger test.26 Heterogeneity will be evaluated with a x² test.

Confidence of cumulative evidence

The Grading of Recommendations, Assessment, Development and Evaluations approach will be used to the rank the quality of the evidence in making recommendations of what the placebo response in TRD is.

Patient and public involvement

TRD is a very significant public health concern. As there is no direct patient involvement in this study, we have decided to not include patients and public in the development in the protocol.

Discussion

A placebo-controlled clinical trial is the gold standard for establishing efficacy of a proposed active treatment. While there is a well-established understanding of the placebo response in treatment-naive MDD, there is not a clear understanding of the placebo response in TRD. Furthermore, the analyses of the placebo response in non-TRD focus almost entirely on the placebo response as it relates to oral medications. This has implications on the transferability of this knowledge to TRD as this patient population frequently uses somatic and novel treatments. The objective of this study is to better quantify the placebo response in TRD, its contributing factors and how it may differ between treatment modalities. This knowledge will help clinicians and researchers interpret past and future studies as well as improve the design and development of future trials. With an established placebo response, study designs such a non-inferiority can be used with improved confidence. Lastly, this knowledge would have implications of how care can be delivered and improved for patients with TRD.

Ethics and dissemination

There is no research ethics board approval required. The dissemination plan is to publish results in a peer-reviewed academic journal.

Acknowledgments

ARB receives grants from the National Council for Scientific and

Technological Development (CNPQ, PQ-1B, to Dr. Brunoni), the Program

of Academic Productivity (PIPA) of the University of São Paulo

Medical School (to Dr. Brunoni) and from the São Paulo Research Foudation

(Grant Number: 2018/10861-7). ARB is chief medical advisor of

Flow ™️ and has a small equity of the company. The LIM-27 laboratory of

neuroscience receives grants from the Associação Beneficente Alzira

Denise Hertzog da Silva.

LBR is supported by São Paulo Research

Foundation (Grant Number: 2019/07256-7).

References

Footnotes

  • Contributors BDMJ made an exceptional contribution to the design/conception of the protocol, wrote the original version of the manuscript, gave final approval of the version published and has agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. CW, LBR, MIH, ARB and ZD made an exceptional contribution to the design/conception of the protocol, made significant contributions to revisions of the manuscript, gave final approval of the version published and has agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were not involved in the design, conduct, reporting or dissemination plans of this research.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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