Evidence map›Paper›PMID 30110685›Full record

Trial reportPsychotherapy and psychosomatics2018

A Novel Strategy to Identify Placebo Responders: Prediction Index of Clinical and Biological Markers in the EMBARC Trial.

Madhukar H Trivedi, Charles South, Manish K Jha, A John Rush, Jing Cao, Benji Kurian, Mary Phillips, Diego A Pizzagalli, Joseph M Trombello, Maria A Oquendo and 9 more

Registry-linked trialOpen access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Psychotherapy and psychosomatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01407094 (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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.

NCT01407094 phase2completednot on this map

Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) for Depression

TypeinterventionalSponsorUniversity of Texas Southwestern Medical CenterRan2011 to 2016Enrolled296ConditionsDepressionArmsSertraline, Placebo, BupropionXL
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Trial
  3. Trial
  4. Trial
  5. Trial
  6. Association between irritability and suicidal ideation in three clinical trials of adults with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Trial
  7. Trial
  8. Trial
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Selective kappa-opioid antagonism ameliorates anhedonic behavior: evidence from the Fast-fail Trial in Mood and Anxiety Spectrum Disorders (FAST-MAS).Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  18. Article
  19. Article
  20. Neural Predictors of the Antidepressant Placebo Response.Pharmaceuticals (Basel, Switzerland) · 2019
    Review
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

19 authors at 9 institutions in 3 countries.

Madhukar H TrivediDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Charles SouthDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Manish K JhaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
A John RushDuke-National University of Singapore, Singapore, Singapore.
Jing CaoDepartment of Statistical Science, Southern Methodist University, Dallas, Texas, USA.
Benji KurianDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mary PhillipsDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Diego A PizzagalliCenter for Depression, Anxiety and Stress Research, Mclean Hospital, Belmont, Massachusetts, USA.
Joseph M TrombelloDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Maria A OquendoDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Crystal CooperDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Daniel G DillonCenter for Depression, Anxiety and Stress Research, Mclean Hospital, Belmont, Massachusetts, USA.
Christian WebbCenter for Depression, Anxiety and Stress Research, Mclean Hospital, Belmont, Massachusetts, USA.
Bruce D GrannemannDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Gerard BruderNew York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons, New York, New York, USA.
Patrick J McGrathNew York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons, New York, New York, USA.
Ramin ParseyStony Brook University School of Medicine, Stony Brook, New York, USA.
Myrna WeissmanNew York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons, New York, New York, USA.
Maurizio FavaDepartment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
The University of Texas Southwestern Medical Center · USMcLean Hospital · USNew York State Psychiatric InstituteColumbia University · USMassachusetts General Hospital · USSouthern Methodist University · USStony Brook University · USTexas Tech University Health Sciences Center · USUniversity of Pennsylvania · US

Funding

Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

backgroundOne in three clinical trial patients with major depressive disorder report symptomatic improvement with placebo. Strategies to mitigate the effect of placebo responses have focused on modifying study design with variable success. Identifying and excluding or controlling for individuals with a high likelihood of responding to placebo may improve clinical trial efficiency and avoid unnecessary medication trials.

methodsParticipants included those assigned to the placebo arm (n = 141) of the Establishing Moderators and Biosignatures for Antidepressant Response in Clinical Care (EMBARC) trial. The elastic net was used to evaluate 283 baseline clinical, behavioral, imaging, and electrophysiological variables to identify the most robust yet parsimonious features that predicted depression severity at the end of the double-blind 8-week trial. Variables retained in at least 50% of the 100 imputed data sets were used in a Bayesian multiple linear regression model to simultaneously predict the probabilities of response and remission.

resultsLower baseline depression severity, younger age, absence of melancholic features or history of physical abuse, less anxious arousal, less anhedonia, less neuroticism, and higher average theta current density in the rostral anterior cingulate predicted a higher likelihood of improvement with placebo. The Bayesian model predicted remission and response with an actionable degree of accuracy (both AUC > 0.73). An interactive calculator was developed predicting the likelihood of placebo response at the individual level.

conclusionEasy-to-measure clinical, behavioral, and electrophysiological assessments can be used to identify placebo responders with a high degree of accuracy. Development of this calculator based on these findings can be used to identify potential placebo responders.

Indexed as

Placebo EffectAdultAntidepressive AgentsBiomarkersDouble-Blind MethodFemaleHumansMajor Depressive DisorderMaleMiddle AgedOutcome Assessment, Health CarePrognosisSeverity of Illness IndexYoung AdultAntidepressive AgentsBiomarkersEMBARC trialPlacebo responderPrediction index

Identifiers

PMID30110685
PMCPMC9764260
OpenAlexW2885533346

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.