Evidence map›Paper›PMID 31610545›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2020

Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND report.

Nikita Nogovitsyn, Meghan Muller, Roberto Souza, Stefanie Hassel, Stephen R Arnott, Andrew D Davis, Geoffrey B Hall, Jacqueline K Harris, Mojdeh Zamyadi, Paul D Metzak and 13 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05017311 (Optimized Predictive Treatment In Medications for Unipolar Major Depression), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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.

NCT05017311 phase4recruitingnot on this mapstarted 2023, after this paper: background citation

Optimized Predictive Treatment In Medications for Unipolar Major Depression (OPTIMUM-D)

TypeinterventionalSponsorNova Scotia Health AuthorityRan2023 to 2029Enrolled400ConditionsMajor Depressive DisorderArmsEscitalopram, Brexpiprazole
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Trial
  3. Hippocampal Total, Subregion, and Subfield Volume Alterations in Late-Life Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
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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

23 authors.

Nikita NogovitsynDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. n.nogovitsyn@ucalgary.ca.ORCID http://orcid.org/0000-0001-5445-1841
Meghan MullerDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Roberto SouzaDepartment of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Stefanie HasselDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0001-7240-1581
Stephen R ArnottRotman Research Institute, Baycrest, Toronto, ON, Canada.
Andrew D DavisDepartment of Psychology, Neuroscience & Behaviour, McMaster University, and St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0002-6078-0163
Geoffrey B HallDepartment of Psychology, Neuroscience & Behaviour, McMaster University, and St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
Jacqueline K HarrisDepartment of Computer Science, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0003-2220-6942
Mojdeh ZamyadiRotman Research Institute, Baycrest, Toronto, ON, Canada.
Paul D MetzakDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Zahinoor IsmailDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0002-5529-3731
Jonathan DownarInstitute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-5140-174X
Sagar V ParikhDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Claudio N SoaresDepartment of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada.
Jean M AddingtonDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0002-8298-0756
Roumen MilevDepartment of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada.ORCID http://orcid.org/0000-0001-6884-171X
Kate L HarknessDepartment of Psychology, Queen's University, Kingston, ON, Canada.
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
Raymond W LamDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-7142-4669
Stephen C StrotherRotman Research Institute, Baycrest and Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3198-217X
Susan RotzingerDepartment of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Sidney H KennedyDepartment of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Glenda M MacQueenDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding a clinically useful neuroimaging biomarker that can predict treatment response in patients with major depressive disorder (MDD) is challenging, in part because of poor reproducibility and generalizability of findings across studies. Previous work has suggested that posterior hippocampal volumes in depressed patients may be associated with antidepressant treatment outcomes. The primary purpose of this investigation was to examine further whether posterior hippocampal volumes predict remission following antidepressant treatment. Magnetic resonance imaging (MRI) scans from 196 patients with MDD and 110 healthy participants were obtained as part of the first study in the Canadian Biomarker Integration Network in Depression program (CAN-BIND 1) in which patients were treated for 16 weeks with open-label medication. Hippocampal volumes were measured using both a manual segmentation protocol and FreeSurfer 6.0. Baseline hippocampal tail (Ht) volumes were significantly smaller in patients with depression compared to healthy participants. Larger baseline Ht volumes were positively associated with remission status at weeks 8 and 16. Participants who achieved early sustained remission had significantly greater Ht volumes compared to those who did not achieve remission by week 16. Ht volume is a prognostic biomarker for antidepressant treatment outcomes in patients with MDD.

Indexed as

AdultAntidepressive AgentsCanadaFemaleHippocampusHumansMagnetic Resonance ImagingMajor Depressive DisorderMalePredictive Value of TestsTreatment OutcomeAntidepressive Agents

Identifiers

PMID31610545
PMCPMC6901577

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.