Evidence map›Paper›PMID 28029718›Full record

ArticleAddiction (Abingdon, England)2017

A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders.

Inbal Nahum-Shani, Ashkan Ertefaie, Xi Lucy Lu, Kevin G Lynch, James R McKay, David W Oslin, Daniel Almirall

Registry-linked trialAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997943 (SMART Weight Loss Management), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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.

NCT02997943 nacompletednot on this map

SMART Weight Loss Management

TypeinterventionalSponsorNorthwestern UniversityRan2017 to 2021Enrolled400ConditionsWeight LossArmsStep 1 Treatment: APP, Step 1 Treatment: APP + Coaching, Step 2 Treatment Strategy: Modest Step-up, Step 2 Treatment Strategy: Vigorous Step-up
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  4. Deeply Tailored Adaptive Interventions to Reduce College Student Drinking: a Real-World Application of Q-Learning for SMART Studies.Prevention science : the official journal of the Society for Prevention Research · 2022
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  7. How and when do work stressors and peer norms impact career entrants' alcohol-related behavior and its consequences?Human relations; studies towards the integration of the social sciences · 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

7 authors.

Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Ashkan ErtefaieDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA.
Xi Lucy LuDepartment of Statistics, University of Michigan, Ann Arbor, Michigan, USA.
Kevin G LynchTreatment Research Center and Center for Studies of Addictions, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
James R McKayCenter on the Continuum of Care in the Addictions, Department of Psychiatry and Philadelphia Veterans Administration Medical Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David W OslinVISN 4 MIRECC, Cpl Michael J Crescenz VA Medical Center and the Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Daniel AlmirallInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI COLLINS, LINDA M · 1996 to 2014
$24.5M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Adaptive Interventions for Minimally Verbal Children with ASD in the CommunityR01HD073975 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KASARI, CONNIE L. · 2012 to 2016
$13.0M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
SMART Weight Loss ManagementR01DK108678 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NAHUM-SHANI, INBAL BILLIE, SPRING, BONNIE · 2016 to 2020
$3.5M
Non-response to NTX next steps in managing alcoholismR01AA014851 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI OSLIN, DAVID W. · 2003 to 2007
$3.3M
Research Methods CoreP01AA016821 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI MCKAY, JAMES R. · 2008 to 2012
$2.7M
Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol UseR01AA023187 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2015 to 2019
$2.6M
Learning Adaptive Treatment Strategies in Mental HealthR01MH080015 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2007 to 2011
$2.2M
Adaptive Treatment Models for the Management of Drug Use DisordersK24DA029062 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI MCKAY, JAMES R. · 2010 to 2021
$1.6M
Statistical Methods for Sequential Treatment Decisions in AlcoholismRC1AA019092 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI LYNCH, KEVIN G · 2009 to 2010
$494k
NIAAA NIH HHS P01 AA016821NIAAA NIH HHS R01 AA014851NIAAA NIH HHS R01 AA023187NIAAA NIH HHS RC1 AA019092NIBIB NIH HHS U54 EB020404NICHD NIH HHS R01 HD073975NIDA NIH HHS K24 DA029062NIDA NIH HHS P50 DA010075NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039901NIDDK NIH HHS R01 DK108678NIMH NIH HHS R01 MH080015NIMH NIH HHS R03 MH097954
6 · The paper itself

Abstract

aimsTo demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART.

methodWe use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N = 250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24 weeks in alcohol dependent individuals.

resultsQ-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress.

conclusionsQ-learning can inform the development of more cost-effective, adaptive treatment strategies for treating substance use disorders.

Indexed as

Adaptive Clinical Trials as TopicData Interpretation, StatisticalRandomized Controlled Trials as TopicAlcoholismBehavior TherapyDisease ManagementFemaleHumansMaleNaltrexoneNarcotic AntagonistsRegression AnalysisTelephoneTreatment OutcomeNaltrexoneNarcotic AntagonistsAdaptive interventionsadaptive treatment strategiesalcohol dependenceQ-learningSequential Multiple Assignment Randomized Trial (SMART)stepped-care

Identifiers

PMID28029718
PMCPMC5431579

What OpenQuestion holds

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Read underepoch 390

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.