Evidence map›Paper›PMID 24612825›Full record

Trial reportBMC complementary and alternative medicine2014

Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: a randomized control trial study protocol.

Stuart J Eisendrath, Erin P Gillung, Kevin L Delucchi, Maggie Chartier, Daniel H Mathalon, Jude C Sullivan, Zindel V Segal, Mitchell D Feldman

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC complementary and alternative medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01021254, which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01021254 no registry record found
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions to improve return to work in depressed people.The Cochrane database of systematic reviews · 2020
    Pooled it
  2. Psychological therapies for treatment-resistant depression in adults.The Cochrane database of systematic reviews · 2018
    Pooled it
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  13. Mindfulness meditation-based pain relief: a mechanistic account.Annals of the New York Academy of Sciences · 2016
    Review
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  17. The effects of beta-endorphin: state change modification.Fluids and barriers of the CNS · 2015
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Stuart J EisendrathUniversity of California, San Francisco Department of Psychiatry, 401 Parnassus Avenue, Box 0984-AIP, San Francisco, CA 94143, USA. StuartE@lppi.ucsf.edu.
Erin P Gillung
Kevin L Delucchi
Maggie Chartier
Daniel H Mathalon
Jude C Sullivan
Zindel V Segal
Mitchell D Feldman

Funding

Applying Mindfulness-Based Cognitive Therapy to Treatment-Resistant DepressionR01AT004572 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EISENDRATH, STUART JAMES · 2009 to 2014
$3.5M
NCCIH NIH HHS R01AT004572.
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is the leading cause of disability in the developed world, yet broadly effective treatments remain elusive. Up to 40% of patients with depression are unresponsive to at least two trials of antidepressant medication and thus have "treatment-resistant depression" (TRD). There is an urgent need for cost-effective, non-pharmacologic, evidence-based treatments for TRD. Mindfulness-Based Cognitive Therapy (MBCT) is an effective treatment for relapse prevention and residual depression in major depression, but has not been previously studied in patients with TRD in a large randomized trial. METHODS/

designThe purpose of this study was to evaluate whether MBCT is an effective augmentation of antidepressants for adults with MDD who failed to respond to standard pharmacotherapy. MBCT was compared to an active control condition, the Health-Enhancement Program (HEP), which incorporates physical activity, functional movement, music therapy and nutritional advice. HEP was designed as a comparator condition for mindfulness-based interventions to control for non-specific effects. Originally investigated in a non-clinical sample to promote stress reduction, HEP was adapted for a depressed population for this study. Individuals age 18 and older with moderate to severe TRD, who failed to respond to at least two trials of antidepressants in the current episode, were recruited to participate. All participants were taking antidepressants (Treatment as usual; TAU) at the time of enrollment. After signing an informed consent, participants were randomly assigned to either MBCT or HEP condition. Participants were followed for 1 year and assessed at weeks 1-7, 8, 24, 36, and 52. Change in depression severity, rate of treatment response and remission after 8 weeks were the primary outcomes measured by the clinician-rated Hamilton Depression Severity Rating (HAM-D) 17-item scale. The participant-rated Quick Inventory of Depression Symptomology (QIDS-SR) 16-item scale was the secondary outcome measure of depression severity, response, and remission. DISCUSSION: Treatment-resistant depression entails significant morbidity and has few effective treatments. We studied the effect of augmenting antidepressant medication with MBCT, compared with a HEP control, for patients with TRD. Analyses will focus on clinician and patient assessment of depression, participants' clinical global impression change, employment and social functioning scores and quality of life and satisfaction ratings.

trial registrationClincalTrials.gov identifier: NCT01021254.

Indexed as

AdultCognitive Behavioral TherapyDepressive Disorder, Treatment-ResistantFemaleHumansMajor Depressive DisorderMaleMeditationMindfulnessResearch Design

Identifiers

PMID24612825
PMCPMC3995768

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.