Evidence map›Paper›PMID 36634070›Full record

ArticlePloS one2023

Individual factors predict substance use treatment course patterns among patients in community-based substance use disorder treatment.

Evangelia Argyriou, Giorgos Bakoyannis, Wei Wu, Mary Jo Rattermann, Melissa A Cyders

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Evangelia ArgyriouDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States of America.ORCID 0000-0001-9113-0334
Giorgos BakoyannisDepartment of Biostatistics and Health Data Science, Indiana University Fairbanks School of Public Health and School of Medicine, Indianapolis, Indiana, United States of America.
Wei WuDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States of America.
Mary Jo RattermannFairbanks Addiction Treatment Center, Indianapolis, Indiana, United States of America.
Melissa A CydersDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States of America.
University of Indianapolis · USIndiana University – Purdue University Indianapolis · USRichard M. Fairbanks Foundation · US

Funding

Combining a novel framework for psychopathology with a precision medicine approach to understand the heterogeneous response to abstinence from alcoholF31AA028998 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI ARGYRIOU, EVA · 2020 to 2022
$134k
NIAAA NIH HHS F31 AA028998
6 · The paper itself

Abstract

BACKGROUND AND

objectivesSubstance use disorders (SUDs) usually involve a complex natural trajectory of recovery alternating with symptom reoccurrence. This study examined treatment course patterns over time in a community SUD clinic. We examined depressive symptoms level, primary SUD assigned at each admission, and lifetime misuse of multiple substances as potential risk factors for premature treatment termination and subsequent treatment readmission.

methodsDe-identified longitudinal data were extracted from charts of 542 patients from an SUD treatment center. Survival analysis methods were applied to predict two time-to-event outcomes: premature treatment termination and treatment readmission.

resultsPrimary opioid (vs alcohol) use disorder diagnosis at admission was associated with higher hazard of premature termination (HR = 1.91, p<0.001). The interaction between depressive symptoms level and substance use status (multiple vs single use) on treatment readmission was significant (p = 0.024), such that higher depressive symptoms level was predictive of readmission only among those with a history of single substance use (marginally significant effect). Lifetime use of multiple (vs single) substances (HR = 1.55, p = 0.002) and age (HR = 1.01, p = 0.019) predicted increased hazard of readmission.

conclusionsFindings did not support a universal role for depressive symptoms level in treatment course patterns. Primary SUD diagnosis, age, and history of substance misuse can be easily assessed and incorporated into treatment planning to support SUD patients and families. This study is the first to our knowledge that afforded a stringent test of these relationships and their interactions in a time-dependent, recurrent event, competing risks survival analysis examining both termination and readmission patterns utilizing a real-world clinic-based sample.

Indexed as

Substance-Related DisordersAnalgesics, OpioidHumansAnalgesics, Opioid

Identifiers

PMID36634070
PMCPMC9836276
OpenAlexW4315754323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.