Evidence map›Paper›PMID 29096290›Full record

SynthesisDrug and alcohol dependence2017

Insomnia treatment in the context of alcohol use disorder: A systematic review and meta-analysis.

Mary Beth Miller, Marissa L Donahue, Kate B Carey, Lori A J Scott-Sheldon

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Mary Beth MillerDepartment of Psychiatry, University of Missouri School of Medicine, 1 Hospital Drive DC 067.00, Columbia, MO 65212, USA; Center for Alcohol and Addiction Studies, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA; Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-4, Providence, RI 02912, USA. Electronic address: millmary@health.missouri.edu.
Marissa L DonahueCenters for Behavioral and Preventive Medicine, The Miriam Hospital, 164 Summit Ave, Providence RI 02906, USA. Electronic address: marissa.donahue@lifespan.org.
Kate B CareyCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Box G-S121-5, Providence, RI 02912, USA; Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-4, Providence, RI 02912, USA. Electronic address: kate_carey@brown.edu.
Lori A J Scott-SheldonDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121-4, Providence, RI 02912, USA; Centers for Behavioral and Preventive Medicine, The Miriam Hospital, 164 Summit Ave, Providence RI 02906, USA; Department of Psychiatry and Human Behavior, Brown University School of Medicine, 700 Butler Dr, Providence, RI 02906, USA. Electronic address: lori_scott-sheldon@brown.edu.

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
Psychosocial, Immunological and Biobehavioral Benefits of Stress Management Interventions for Chronic Diseases: Comprehensive Systematic Review and Meta-AnalysesR01AT008815 · NCCIH · MIRIAM HOSPITAL · PI CAREY, MICHAEL P · 2016 to 2019
$2.0M
NCCIH NIH HHS R01 AT008815NIAAA NIH HHS T32 AA007459
6 · The paper itself

Abstract

purposeTo determine the efficacy of behavioral and pharmacological interventions for insomnia among individuals with alcohol use disorder (AUD). PROCEDURES: Comprehensive literature searches of psychological, medical, and educational databases were conducted through October 2016. Eligible studies evaluated the efficacy of an insomnia intervention, included a comparison condition, sampled individuals with AUD and either insomnia disorder or complaints of insomnia, assessed sleep-related outcomes, and provided relevant statistics to calculate between-group effect sizes. Effect sizes were estimated for sleep quality, days of alcohol abstinence, and symptoms of depression. Type of intervention (behavioral versus pharmacological) was tested as a moderator of intervention efficacy. MAIN

findingsNine studies met eligibility criteria and were included in the final review and meta-analysis. Random-effects models indicated that intervention participants reported greater improvements in sleep quality (d+=0.62, 95% CI=0.28, 0.97) and symptoms of depression (d+=0.52, 95% CI=0.06, 0.98) than control participants. Participants reported significantly greater improvements in sleep quality in response to behavioral (d+=1.20, 95% CI=0.70, 1.70) as opposed to pharmacological (d+=0.43, 95% CI=0.19, 0.67) interventions. Behavioral (d+=0.74, 95% CI=0.31, 1.18) and pharmacological (d+=0.08, 95% CI=-0.64, 0.78) interventions did not have significantly different effects on depressive symptoms. Neither behavioral nor pharmacological interventions improved rates of alcohol abstinence.

conclusionsInsomnia interventions improve sleep quality and reduce symptoms of depression among individuals with comorbid AUD. Given the methodological weaknesses of studies reviewed, additional research is needed to determine the efficacy of insomnia treatment in improving rates of alcohol relapse within this population.

Indexed as

AdultAlcoholismBehavior TherapyDepressionFemaleHumansMaleMiddle AgedSleepSleep Aids, PharmaceuticalSleep Initiation and Maintenance DisordersTreatment OutcomeSleep Aids, PharmaceuticalAlcohol dependenceDepressionDrinkingInterventionSleep

Identifiers

PMID29096290
PMCPMC5683932

What OpenQuestion holds

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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.