Evidence map›Paper›PMID 31967913›Full record

ArticleThe American journal of drug and alcohol abuse2020

Derivation and assessment of the opioid use disorder severity scale: prediction of health, psychological and social adjustment problems.

Levent Kirisci, Ralph E Tarter, Maureen Reynolds, Kaleen N Hayes, Gerald Cochran, Michael Vanyukov

Open access · greenAbstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 3 institutions in 2 countries.

Levent KirisciDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, PA, USA.
Ralph E TarterDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, PA, USA.ORCID 0000-0002-7637-7942
Maureen ReynoldsDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, PA, USA.
Kaleen N HayesDepartment of Public Health Sciences, Epidemiology Division, University of Toronto , Toronto, ON, Canada.
Gerald CochranDepartment of Internal Medicine, Division of Epidemiology, University of Utah , Salt Lake City, UT, USA.
Michael VanyukovDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, PA, USA.
University of Pittsburgh · USUniversity of Toronto · CAUniversity of Utah · US

Funding

TRANSLATION MODULEP50DA005605 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VANYUKOV, MICHAEL M · 1989 to 2014
$25.7M
Greater Intermountain Node (CTN-0151)UG1DA049444 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Gerald T. Cochran, Adam Joseph Gordon · 2019 to 2026
$16.8M
Quantifying and Tracking Risk for Substance Use DisorderK02DA017822 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRISCI, LEVENT · 2005 to 2014
$1.3M
Longitudinal Modeling of SUD EtiologyK05DA031248 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TARTER, RALPH E · 2012 to 2016
$679k
NIDA NIH HHS K02 DA017822NIDA NIH HHS K05 DA031248NIDA NIH HHS P50 DA005605NIDA NIH HHS UG1 DA049444
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Severity of Illness IndexSocial AdjustmentAdultFemaleHumansMaleMiddle AgedModels, StatisticalOpioid-Related DisordersPredictive Value of TestsAddictiondependenceopioid epidemicphenotypingseverity measurement

Identifiers

PMID31967913
PMCPMC10468821
OpenAlexW3000927375

What OpenQuestion holds

Textmetadata
LicenceTDM
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.