Evidence map›Paper›PMID 37599869›Full record

ArticleFrontiers in psychiatry2023

Association between body mass index and treatment completion in extended-release naltrexone-treated patients with opioid dependence.

Xinyi Li, Daniel D Langleben, Kevin G Lynch, Gene-Jack Wang, Igor Elman, Corinde E Wiers, Zhenhao Shi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Xinyi LiDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Daniel D LanglebenDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Kevin G LynchDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Gene-Jack WangNational Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States.
Igor ElmanDepartment of Psychiatry, Cambridge Health Alliance, Harvard Medical School, Boston, MA, United States.
Corinde E WiersDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
Zhenhao ShiDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
University of Pennsylvania · USHarvard University · USNational Institute on Alcohol Abuse and Alcoholism · US

Funding

Multivariate Modeling of the Neural Mechanisms of Treatment Response in Opioid AddictionK01DA051709 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI SHI, ZHENHAO · 2021 to 2025
$916k
NIDA NIH HHS K01 DA051709
6 · The paper itself

Abstract

Background: Excessive consumption of opioids is associated with impaired metabolic function including increased body mass index (BMI). Opioid antagonist naltrexone (NTX) is an effective treatment for opioid use disorder (OUD) that has the potential to mitigate such metabolic disturbances. Understanding the relationship between treatment adherence and BMI in NTX-treated OUD patients may provide valuable insights into optimizing clinical outcomes. Methods: Patients with opioid dependence were offered up to three monthly injections of extended-release (XR) NTX. Treatment completers (n = 41) were defined as those who had received all three XR-NTX injections, and non-completers (n = 20) as those missing at least one injection. Logistic regression was performed to examine the association between pre-treatment BMI and treatment completion. Results: BMI was positively associated with treatment completion. This association remained significant after adjusting for potentially confounding variables. Conclusion: Our findings suggest that baseline BMI may serve as a potential predictor of XR-NTX treatment adherence in patients with OUD and could help healthcare providers and policy makers alike in developing strategies to improve retention and tailor interventions for specific patient subgroups.

Indexed as

addictionbody weight gaineatingfoodmedication-assisted treatmentobesityopioid use disorder

Identifiers

PMID37599869
PMCPMC10433165
OpenAlexW4385493840

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.