Evidence map›Paper›PMID 22162828›Full record

Trial reportTranslational psychiatry2011

Pretreatment metabotype as a predictor of response to sertraline or placebo in depressed outpatients: a proof of concept.

R Kaddurah-Daouk, S H Boyle, W Matson, S Sharma, S Matson, H Zhu, M B Bogdanov, E Churchill, R R Krishnan, A J Rush and 2 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Translational psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing 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.

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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
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  7. Trial
  8. Metabolomic correlates of intravenous racemic ketamine in treatment-resistant major depressive disorder: the Bio-K/NNDC multicenter trial.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2026
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Predicting treatment outcome in depression: an introduction into current concepts and challenges.European archives of psychiatry and clinical neuroscience · 2023
    Review
  18. Article
  19. Observational
  20. Article

10 more citing papers are in PubMed but not listed here.

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

12 authors.

R Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, USA. rima.kaddurahdaouk@duke.edu
S H Boyle
W Matson
S Sharma
S Matson
H Zhu
M B Bogdanov
E Churchill
R R Krishnan
A J Rush
E Pickering
M Delnomdedieu

Funding

Metabolomics Network for Drug Response PhenotypeR24GM078233 · NIGMS · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2007 to 2010
$2.1M
NIGMS NIH HHS GM078233NIGMS NIH HHS R24 GM078233
6 · The paper itself

Abstract

The purpose of this study was to determine whether the baseline metabolic profile (that is, metabotype) of a patient with major depressive disorder (MDD) would define how an individual will respond to treatment. Outpatients with MDD were randomly assigned to sertraline (up to 150 mg per day) (N=43) or placebo (N=46) in a double-blind 4-week trial. Baseline serum samples were profiled using the liquid chromatography electrochemical array; the output was digitized to create a 'digital map' of the entire measurable response for a particular sample. Response was defined as ≥50% reduction baseline to week 4 in the 17-item Hamilton Rating Scale for Depression total score. Models were built using the one-out method for cross-validation. Multivariate analyses showed that metabolic profiles partially separated responders and non-responders to sertraline or to placebo. For the sertraline models, the overall correct classification rate was 81% whereas it was 72% for the placebo models. Several pathways were implicated in separation of responders and non-responders on sertraline and on placebo including phenylalanine, tryptophan, purine and tocopherol. Dihydroxyphenylacetic acid, tocopherols and serotonin were common metabolites in separating responders and non-responders to both drug and placebo. Pretreatment metabotypes may predict which depressed patients will respond to acute treatment (4 weeks) with sertraline or placebo. Some pathways were informative for both treatments whereas other pathways were unique in predicting response to either sertraline or placebo. Metabolomics may inform the biochemical basis for the early efficacy of sertraline.

Indexed as

AdultChromatography, LiquidDouble-Blind MethodFemaleHumansLeast-Squares AnalysisMajor Depressive DisorderMaleMetabolic Networks and PathwaysMetabolomicsMiddle AgedOutpatientsPsychiatric Status Rating ScalesSelective Serotonin Reuptake InhibitorsSertralineSelective Serotonin Reuptake InhibitorsSertralinemajor depressive disordermetabolomicsplacebosertraline

Identifiers

PMID22162828
PMCPMC3232004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.