Evidence map›Paper›PMID 35564851›Full record

ArticleInternational journal of environmental research and public health2022

Assessing Opioid Use Disorder Treatments in Trials Subject to Non-Adherence via a Functional Generalized Linear Mixed-Effects Model.

Madeleine St Ville, Andrew W Bergen, James W Baurley, Joe D Bible, Christopher S McMahan

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Madeleine St VilleSchool of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0002-9863-9720
Andrew W BergenOregon Research Institute, Eugene, OR 97403, USA.ORCID 0000-0002-1237-7644
James W BaurleyBioRealm, LLC, Walnut, CA 91789, USA.
Joe D BibleSchool of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA.
Christopher S McMahanSchool of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA.
Clemson University · USBioRealm (United States) · USOregon Research Institute · US

Funding

Biosignatures of opioid addiction treatment successR43DA046325 · NIDA · BIOREALM · PI BAURLEY, JAMES WILLIAM, BERGEN, ANDREW W · 2018 to 2018
$224k
NIDA NIH HHS R43 DA046325
6 · The paper itself

Abstract

The opioid crisis in the United States poses a major threat to public health due to psychiatric and infectious disease comorbidities and death due to opioid use disorder (OUD). OUD is characterized by patterns of opioid misuse leading to persistent heavy use and overdose. The standard of care for treatment of OUD is medication-assisted treatment, in combination with behavioral therapy. Medications for opioid use disorder have been shown to improve OUD outcomes, including reduction and prevention of overdose. However, understanding the effectiveness of such medications has been limited due to non-adherence to assigned dose levels by study patients. To overcome this challenge, herein we develop a model that views dose history as a time-varying covariate. Proceeding in this fashion allows the model to estimate dose effect while accounting for lapses in adherence. The proposed model is used to conduct a secondary analysis of data collected from six efficacy and safety trials of buprenorphine maintenance treatment. This analysis provides further insight into the time-dependent treatment effects of buprenorphine and how different dose adherence patterns relate to risk of opioid use.

Indexed as

BuprenorphineDrug OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansOpiate Substitution TreatmentOpioid EpidemicUnited StatesAnalgesics, OpioidBuprenorphineclinical trialfunctional general linear mixed modelopiate substitution treatmentopioid urinalysis

Identifiers

PMID35564851
PMCPMC9104047
OpenAlexW4225159023

What Socratic 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 Socratic graph.