Evidence map›Paper›PMID 36844693›Full record

ArticleAddictive behaviors reports2023

Cluster analysis to identify patient profiles and substance use patterns among pregnant persons with opioid use disorder.

Elizabeth Charron, Ziji Yu, Brad Lundahl, John Silipigni, Akiko Okifuji, Adam J Gordon, Jacob D Baylis, Ashley White, Kristi Carlston, Walitta Abdullah and 4 more

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Elizabeth CharronDepartment of Health Promotion Sciences, Hudson College of Public Health, University of Oklahoma, Schusterman Center, Tulsa, OK, United States.
Ziji YuProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Brad LundahlCollege of Social Work, University of Utah, Salt Lake City, UT, United States.
John SilipigniDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, United States.
Akiko OkifujiDepartment of Anesthesiology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Adam J GordonProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Jacob D BaylisProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Ashley WhiteProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Kristi CarlstonProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Walitta AbdullahDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, United States.
Benjamin HaalandDepartment of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, UT, United States.
Elizabeth E KransDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, United States.
Marcela C SmidProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.
Gerald CochranProgram of Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States.

Funding

Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Gerald T. Cochran · 2019 to 2026
$16.8M
NCIPC CDC HHS R01 CE002996NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including 'Group A' (n = 68; 65.4 %) and 'Group B' (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (

Indexed as

Cluster analysisOpioid use disorderPerinatalPP-OUD, pregnant persons with opioid use disorderPregnancySubstance use

Identifiers

PMID36844693
PMCPMC9950438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.