Evidence map›Paper›PMID 34526482›Full record

Trial reportTranslational psychiatry2021

Who benefits most from expectancy effects? A combined neuroimaging and antidepressant trial in depressed older adults.

Sigal Zilcha-Mano, Meredith L Wallace, Patrick J Brown, Joel Sneed, Steven P Roose, Bret R Rutherford

Erratum issuedOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Sigal Zilcha-ManoDepartment of Psychology, University of Haifa, Mount Carmel, 31905, Haifa, Israel. sigalzil@gmail.com.ORCID http://orcid.org/0000-0002-5645-4429
Meredith L WallaceUniversity of Pittsburgh Department of Psychiatry, Statistics, and Biostatistics, Pittsburgh, PA, USA.
Patrick J BrownColumbia University Vagelos College of Physicians and Surgeons, New York State Psychiatric Institute, New York, NY, USA.ORCID http://orcid.org/0000-0003-3906-6667
Joel SneedQueens College of the City University of New York, New York, NY, USA.
Steven P RooseColumbia University Vagelos College of Physicians and Surgeons, New York State Psychiatric Institute, New York, NY, USA.
Bret R RutherfordColumbia University Vagelos College of Physicians and Surgeons, New York State Psychiatric Institute, New York, NY, USA.
New York State Psychiatric InstituteCarmel (Israel) · ILQueens College, CUNY · USUniversity of Pittsburgh · US

Funding

Mechanisms of Antidepressant Non-Response in Late-Life DepressionR01MH102293 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI RUTHERFORD, BRET R · 2014 to 2018
$2.0M
NIMH NIH HHS R01 MH102293
6 · The paper itself

Abstract

Depressed patients' expectations of improvement drive placebo effects in antidepressant clinical trials, yet there is considerable heterogeneity in the magnitude of expectancy effects. The present study seeks to identify those individuals who benefit most from expectancy effects using baseline neuroimaging and cognitive measures. Older adult outpatients diagnosed with major depressive disorder (MDD) participated in a prospective, 8-week clinical trial in which expectancy was experimentally manipulated and its effects on depression outcome measured. Based on the literature, we selected a priori 12 cognitive and brain-based variables linked to depression and expectancy, together with demographic variables, and incorporated them into a combined moderator. The combined moderator was developed as a weighted combination of the individual moderators, and was used to identify individuals who benefited most from expectancy effects. The combined moderator was found to predict differential change in depression severity scores between the high- vs. low-expectancy groups with a medium-size effect (Spearman effect size: 0.28). While at the sample level no expectancy effect was found, the combined moderator divided older adults with MDD into those who did and those who did not improve as the result of expectancy manipulation, with those benefiting from the manipulation showing greater processing speed, executive function, and frontostriatal white matter tract integrity. The findings suggest that it is possible to identify a subgroup of older adult individuals with MDD for whom expectancy manipulation results in greater antidepressant treatment response, supporting a precision medicine approach. This subgroup is characterized by distinct cognitive dysfunction and neuroimaging impairments profiles.

Indexed as

Major Depressive DisorderAgedAntidepressive AgentsHumansNeuroimagingProspective StudiesTreatment OutcomeAntidepressive Agents

Identifiers

PMID34526482
PMCPMC8443672
OpenAlexW3201086367

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.