Evidence map›Paper›PMID 32560342›Full record

ArticleInternational journal of environmental research and public health2020

Finding the Hidden Risk Profiles of the United States Opioid Epidemic: Using a Person-Centered Approach on a National Dataset of Noninstitutionalized Adults Reporting Opioid Misuse.

Francisco A Montiel Ishino, Tamika Gilreath, Faustine Williams

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Editors' Comments on the Special Issue "Social Determinants of Mental Health".International journal of environmental research and public health · 2021
    Article
  4. 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

3 authors.

Francisco A Montiel IshinoDivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, 7201 Wisconsin Ave, Ste.533G6, Bethesda, Rockville, MD 20814, USA.ORCID 0000-0002-2837-726X
Tamika GilreathTransdisciplinary Center for Health Equity Research, Department of Health Education, College of Education and Human Development, Texas A&M University, 4243 TAMU, 311F Blocker Building, College Station, TX 77843, USA.
Faustine WilliamsDivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, 7201 Wisconsin Ave, Ste.533G6, Bethesda, Rockville, MD 20814, USA.

Funding

Understanding Population Mental Health to Promote and Improve Mental Well-Being ZIAMD000015 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI WILLIAMS, FAUSTINE · 2020 to 2025
$2.9M
6 · The paper itself

Abstract

Opioid misuse can lead to use disorder and other adverse outcomes. Identifying sociodemographic risk profiles and understanding misuse patterns in combination with health indicators can inform prevention science and clinical practice. A latent class analysis of opioid misuse was conducted on noninstitutionalized United States civilians aged 18 and older that reported opioid dependence or abuse in the 2017 National Survey of Drug Use and Health (

Indexed as

EpidemicsOpioid EpidemicOpioid-Related DisordersRisk-TakingAdolescentAdultAnalgesics, OpioidFemaleHeroinHumansMaleMiddle AgedRisk AssessmentUnited StatesAnalgesics, OpioidHeroinanalgesicslatent class analysisopioidperson-centered approachsocial determinants of health

Identifiers

PMID32560342
PMCPMC7345624

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.