Evidence map›Paper›PMID 32792991›Full record

ArticleFrontiers in psychiatry2020

Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol.

Kristin Köhler-Forsberg, Anders Jorgensen, Vibeke H Dam, Dea Siggaard Stenbæk, Patrick M Fisher, Cheng-Teng Ip, Melanie Ganz, Henrik Enghusen Poulsen, Annamaria Giraldi, Brice Ozenne and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02869035 (Predicting Treatment Outcome in Major Depressive Disorder), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% 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.

NCT02869035 phase1completednot on this map

Predicting Treatment Outcome in Major Depressive Disorder

TypeinterventionalSponsorRigshospitalet, DenmarkRan2016 to 2019Enrolled100ConditionsMajor Depressive DisorderArmsEscitalopram, Duloxetine
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Novel, small molecules targeting the 5-HTbioRxiv : the preprint server for biology · 2025
    Article
  8. Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025
    Article
  9. Article
  10. PET-MRI Applications and Future Prospects in Psychiatry.Journal of magnetic resonance imaging : JMRI · 2025
    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

13 authors at 4 institutions in 1 country.

Kristin Köhler-ForsbergNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Anders JorgensenDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Vibeke H DamNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Dea Siggaard StenbækNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Patrick M FisherNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Cheng-Teng IpNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Melanie GanzNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Henrik Enghusen PoulsenDepartment of Pharmacology, University of Copenhagen, Copenhagen, Denmark.
Annamaria GiraldiSexological Clinic, Psychiatric Center Copenhagen, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Brice OzenneNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Martin Balslev JørgensenDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Gitte Moos KnudsenNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Vibe Gedsoe FrokjaerNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DKRigshospitalet · DKCapital Region of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetween 30 and 50% of patients with major depressive disorder (MDD) do not respond sufficiently to antidepressant regimens. The conventional pharmacological treatments predominantly target serotonergic brain signaling but better tools to predict treatment response and identify relevant subgroups of MDD are needed to support individualized and mechanistically targeted treatment strategies. The aim of this study is to investigate antidepressant-free patients with MDD using neuroimaging, electrophysiological, molecular, cognitive, and clinical examinations and evaluate their ability to predict clinical response to SSRI treatment as individual or combined predictors.

methodsWe will include 100 untreated patients with moderate to severe depression (>17 on the Hamilton Depression Rating Scale 17) in a non-randomized open clinical trial. We will collect data from serotonin 4 receptor positron emission tomography (PET) brain scans, functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), cognitive tests, psychometry, and peripheral biomarkers, before (at baseline), during, and after 12 weeks of standard antidepressant treatment. Patients will be treated with escitalopram, and in case of non-response at week 4 or intolerable side effects, offered to switch to a second line treatment with duloxetine. Our primary outcome (treatment response) is assessed using the Hamilton depression rating subscale 6-item scores at week 8, compared to baseline. In a subset of the patients (n = ~40), we will re-assess the neurobiological response (using PET, fMRI, and EEG) 8 weeks after initiated pharmacological antidepressant treatment, to map neurobiological signatures of treatment responses. Data from matched controls will either be collected or is already available from other cohorts. DISCUSSION: The extensive investigational program with follow-up in this large cohort of participants provides a unique possibility to (a) uncover potential biomarkers for antidepressant treatment response, (b) apply the findings for future stratification of MDD, (c) advance the understanding of pathophysiological underpinnings of MDD, and (d) uncover how putative biomarkers change in response to 8 weeks of pharmacological antidepressant treatment. Our data can pave the way for a precision medicine approach for optimized treatment of MDD and also provides a resource for future research and data sharing. CLINICAL

trial registrationThe study was registered at clinicaltrials.gov prior to initiation (NCT02869035; 08.16.2016, URL: https://clinicaltrials.gov/ct2/results?cond=&term=NCT02869035&cntry=&state=&city=&dist=).

Indexed as

biomarkercognitionelectroencephalogramfunctional magnetic resonance imagingmajor depressive disorderpositron emission tomographyserotonin 4 receptortreatment response

Identifiers

PMID32792991
PMCPMC7391965
OpenAlexW3045312033

What OpenQuestion holds

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LicenceCC BY
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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.