Evidence map›Paper›PMID 31688963›Full record

Trial reportAlcoholism, clinical and experimental research2019

The Identification of Pretreatment Trajectories of Alcohol Use and Their Relationship to Treatment Outcome in Men and Women With Alcohol Use Disorder.

Paul R Stasiewicz, Clara M Bradizza, Melanie U Ruszczyk, Joseph F Lucke, Junru Zhao, Braden Linn, Kim S Slosman, Kurt H Dermen

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Baseline Drinking Patterns in Non-Treatment Seeking Problem Drinkers.Alcohol and alcoholism (Oxford, Oxfordshire) · 2021
    Article
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

8 authors at 1 institution in 1 country.

Paul R StasiewiczSchool of Social Work, University at Buffalo, Buffalo, New York.
Clara M BradizzaSchool of Social Work, University at Buffalo, Buffalo, New York.
Melanie U RuszczykSchool of Social Work, University at Buffalo, Buffalo, New York.
Joseph F LuckeDepartment of Psychiatry, University at Buffalo, Buffalo, New York.
Junru ZhaoSchool of Social Work, University at Buffalo, Buffalo, New York.
Braden LinnClinical and Research Institute on Addictions, University at Buffalo, Buffalo, New York.
Kim S SlosmanSchool of Social Work, University at Buffalo, Buffalo, New York.
Kurt H DermenDepartment of Psychiatry, University at Buffalo, Buffalo, New York.
University at Buffalo, State University of New York · US

Funding

RESEARCH TRAINING ON ALCOHOL ETIOLOGY AND TREATMENTT32AA007583 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Gregory G Homish, Jennifer P Read · 2000 to 2026
$8.5M
Pretreatment Change in Drinking: Relationship to Treatment OutcomeR01AA022080 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI STASIEWICZ, PAUL R · 2014 to 2018
$2.7M
NIAAA NIH HHS R01 AA022080NIAAA NIH HHS RO1 AA022080NIAAA NIH HHS T32 AA007583
6 · The paper itself

Abstract

backgroundFew studies have focused on behavioral changes that occur prior to entering treatment for an alcohol use disorder (AUD). In 2 studies (Psychol Addict Behav, 27, 2013, 1159; J Stud Alcohol, 66, 2005, 369), pretreatment reductions in alcohol use were associated with better treatment outcomes. Identifying patterns of pretreatment change has the potential to inform clinical decision making.

methodsThis study sought to identify pretreatment change trajectories in individuals seeking outpatient treatment for AUD (N = 205) using finite mixture modeling based on changes in number of days abstinent per week (NDA).

resultsThe analysis identified 3 pretreatment trajectory classes. Class 1 (High Abstinence-Minimal Increase; HA-MI) (n = 64; 31.2%) reported a high level of pretreatment NDA with minimal change during an 8-week pretreatment interval. Class 2 (Low Abstinence-Steady Increase; LA-SI) (n = 73; 35.6%) reported a low level of pretreatment NDA followed by a steady increase beginning 2 weeks prior to the phone screen. Class 3 (Nonabstinent-Accelerated Increase; NA-AI) (n = 68; 33.2%) reported no or very low levels of pretreatment NDA but demonstrated an increase following the phone screen. With regard to within-treatment change, Class 1 demonstrated the least and Class 3 demonstrated the most change in NDA. From baseline to 6-month follow-up, Class 3 added 2.31 abstinent days per week, Class 2 added 0.69 days, and Class 1 added 0.63 days. The increase in NDA for Class 3 was significantly different from the other 2 classes; however, Class 3 reported fewer overall days abstinent at 6-month follow-up.

conclusionsStudy results have clinical and research implications including recommended changes to treatment protocols and research designs. Understanding the impact of pretreatment trajectories of alcohol use on within-treatment and posttreatment outcomes may provide important information about adapting treatment to increase efficiency and effectiveness.

Indexed as

AdolescentAdultAgedAlcohol DrinkingAlcoholismBehavior, AddictiveCognitive Behavioral TherapyFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesTime FactorsTreatment OutcomeYoung AdultAlcoholAlcohol Use DisorderBehavior ChangePretreatment ChangeTreatment

Identifiers

PMID31688963
PMCPMC6904501
OpenAlexW2988790102

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.