Evidence map›Paper›PMID 29522941›Full record

Trial reportJournal of affective disorders2018

Validating pre-treatment body mass index as moderator of antidepressant treatment outcomes: Findings from CO-MED trial.

Manish K Jha, Shereen Wakhlu, Neha Dronamraju, Abu Minhajuddin, Tracy L Greer, Madhukar H Trivedi

Abstract readRandomized Controlled TrialValidation Study
In one paragraph

Trial report in Journal of affective disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  11. Immuno-metabolic depression: from concept to implementation.The Lancet regional health. Europe · 2025
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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

6 authors at 2 institutions in 1 country.

Manish K JhaCenter for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, United States.
Shereen WakhluCenter for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, United States.
Neha DronamrajuCenter for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, United States.
Abu MinhajuddinDepartment of Clinical Sciences, UT Southwestern Medical Center, Dallas, TX, United States.
Tracy L GreerCenter for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, United States.
Madhukar H TrivediCenter for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390-9119, United States. Electronic address: madhukar.trivedi@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

TREATMENT RESISTANT DEPRESSION-278990003N01MH090003 · NIMH · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · 1999 to 2003
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NIMH NIH HHS N01 MH090003
6 · The paper itself

Abstract

backgroundCurrently, there are no valid clinical or biological markers to personalize the treatment of depression. Recent evidence suggests that body mass index (BMI) may guide the selection of antidepressant medications with different mechanisms of action.

methodsCombining Medications to Enhance Depression Outcomes (CO-MED) trial participants with BMI measurement (n = 662) were categorized as normal- or underweight (<25), overweight (25-<30), obese I (30-<35), and obese II+ (≥35). Logistic regression analysis with remission as the dependent variable and treatment arm-by-BMI category interaction as the primary independent variable was used to evaluate if BMI differentially predicted response to escitalopram (SSRI) monotherapy, bupropion-escitalopram combination, or venlafaxine-mirtazapine combination, after controlling for gender and baseline depression severity.

resultsRemission rates among the three treatment arms differed on the basis of pre-treatment BMI (chi-square=12.80, degrees of freedom=6, p = .046). Normal- or under-weight participants were less likely to remit with the bupropion-SSRI combination (26.8%) than SSRI monotherapy (37.3%, number needed to treat or NNT = 9.5) or venlafaxine-mirtazapine combination (44.4%, NNT = 5.7). Conversely, obese II+ participants were more likely to remit with bupropion-SSRI (47.4%) than SSRI monotherapy (28.6%, NNT = 5.3) or venlafaxine-mirtazapine combination (37.7%, NNT = 10.3). Remission rates did not differ among overweight and obese I participants. LIMITATIONS: Secondary analysis, higher rates of obesity than the general population.

conclusionsAntidepressant selection in clinical practice can be personalized with BMI measurements. Bupropion-SSRI combination should be avoided in normal- or under-weight depressed outpatients as compared to SSRI monotherapy and venlafaxine-mirtazapine combination and preferred in those with BMI≥35.

Indexed as

Body Mass IndexAdultAntidepressive Agents, Second-GenerationAntidepressive Agents, TricyclicBiomarkersBupropionCitalopramDepressionDrug CombinationsDrug Therapy, CombinationFemaleHumansMajor Depressive DisorderMaleMianserinMiddle AgedAntidepressive Agents, Second-GenerationAntidepressive Agents, TricyclicBiomarkersBupropionCitalopramDrug CombinationsMianserinMirtazapineVenlafaxine HydrochlorideAntidepressant medicationsBody mass indexMajor depressive disorderModeratorObesityTreatment selection

Identifiers

PMID29522941
PMCPMC6312180
OpenAlexW2789957615

What OpenQuestion holds

Textmetadata
LicenceTDM
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.