Evidence map›Paper›PMID 31039482›Full record

Trial reportJournal of psychiatric research2019

Getting to precision psychopharmacology: Combining clinical and genetic information to predict fat gain from aripiprazole.

H Oughli, E J Lenze, A E Locke, M D Yingling, Y Zhong, J P Miller, C F Reynolds, B H Mulsant, J W Newcomer, T R Peterson and 2 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Pharmacotherapy of major depressive disorder in older adults: from an evidence-informed stepwise algorithm to precision medicine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  2. Metabolic Adverse Effects of Psychotropic Drug Therapy: A Systematic Review.European journal of investigation in health, psychology and education · 2023
    Review
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 at 4 institutions in 2 countries.

H OughliWashington University School of Medicine, Department of Psychiatry, Healthy Mind Lab, St. Louis, MO, USA.
E J LenzeWashington University School of Medicine, Department of Psychiatry, Healthy Mind Lab, St. Louis, MO, USA.
A E LockeWashington University School of Medicine, Department of Internal Medicine, St. Louis, MO, USA.
M D YinglingWashington University School of Medicine, Department of Psychiatry, Healthy Mind Lab, St. Louis, MO, USA.
Y ZhongUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Pittsburgh, PA, USA.
J P MillerWashington University School of Medicine, Division of Biostatistics, St. Louis, MO, USA.
C F ReynoldsUniversity of Pittsburgh Medical Center, Department of Psychiatry, Pittsburgh, PA, USA.
B H MulsantUniversity of Toronto, Department of Psychiatry and Center for Addiction and Mental Health, Toronto, Canada.
J W NewcomerWashington University School of Medicine, Department of Psychiatry, Healthy Mind Lab, St. Louis, MO, USA; Thriving Mind South Florida, Miami, FL, USA.
T R PetersonWashington University School of Medicine, Department of Internal Medicine, St. Louis, MO, USA.
D J MüllerUniversity of Toronto, Department of Psychiatry and Center for Addiction and Mental Health, Toronto, Canada.
G E NicolWashington University School of Medicine, Department of Psychiatry, Healthy Mind Lab, St. Louis, MO, USA. Electronic address: nicolg@wustl.edu.
Washington University in St. Louis · USCentre for Addiction and Mental Health · CAUniversity of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Jonathan R Brestoff · 1999 to 2026
$30.2M
2/3-Incomplete Response in Late-Life Depression: Getting to RemissionR01MH083648 · NIMH · WASHINGTON UNIVERSITY · PI LENZE, ERIC J · 2009 to 2013
$2.0M
Washington University Psychiatry Residency Research Education ProgramR25MH112473 · NIMH · WASHINGTON UNIVERSITY · PI NURI B FARBER, Timothy Eric Spiegel · 2018 to 2026
$1.6M
Genetic Factors of Bone Loss in Older Adults Taking AntidepressantsR01AR073017 · NIAMS · WASHINGTON UNIVERSITY · PI PETERSON, TIMOTHY R · 2018 to 2021
$1.6M
3/3-Incomplete Response in Late-Life Depression: Getting to RemissionR01MH083643 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI MULSANT, BENOIT H · 2009 to 2013
$1.3M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIAMS NIH HHS R01 AR073017NIDDK NIH HHS P30 DK056341NIMH NIH HHS R01 MH083643NIMH NIH HHS R01 MH083648NIMH NIH HHS R25 MH112473
6 · The paper itself

Abstract

introductionAll atypical antipsychotics are associated with some degree of weight gain. We applied a novel statistical approach to identify moderators of aripiprazole-induced fat gain using clinical and genetic data from a randomized clinical trial (RCT) of treatment resistant depression in older adults. MATERIALS AND

methodsAdults aged ≥60 years with non-response to a prospective trial of venlafaxine were randomized to 12 weeks of aripiprazole augmentation (n = 91) or placebo (n = 90). Dual energy x-ray absorptiometry (DEXA) measured adiposity at baseline and 12 weeks. Independent moderators of total body fat gain were used to generate two combined multiple moderators, one including clinical data alone and one including both clinical and genetic data to characterize individuals who gained fat during aripiprazole augmentation.

resultsThe value of the combined genetic + clinical multiple moderator (M DISCUSSION: These results demonstrate a combined multiple moderator approach, including both clinical and genetic moderators, can be applied to existing clinical trial data to understand adverse treatment effects. This method allowed for more specific characterization of individuals at risk for the outcome of interest. Further work is needed to identify additional genetic moderators and to validate the approach.

Indexed as

Absorptiometry, PhotonAdiposityAgedAntidepressive AgentsAripiprazoleDouble-Blind MethodDrug Therapy, CombinationFemaleGenome-Wide Association StudyHumansMajor Depressive DisorderMalePolymorphism, Single NucleotideVenlafaxine HydrochlorideWeight GainAntidepressive AgentsAripiprazoleVenlafaxine HydrochlorideAdiposityAripiprazoleOlder adultsTreatment resistant depression

Identifiers

PMID31039482
PMCPMC6546502
OpenAlexW2941332385

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.