Evidence map›Paper›PMID 32186420›Full record

ArticleSubstance use & misuse2020

The Indirect Effects of Trait Anxiety on Drug Use Via Emotion Dysregulation in a Low-Income Sample.

Anahi Collado, Julia W Felton, Hailey Taylor, Kelly Doran, Richard Yi

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Substance use & misuse, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06119503 (Peer Delivered Episodic Future Thinking to Improve MOUD Treatment Engagement Among Returning Citizens - A Randomized Controlled Trial), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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.

NCT06119503 nacompletednot on this mapstarted 2023, after this paper: background citation

Peer Delivered Episodic Future Thinking to Improve MOUD Treatment Engagement Among Returning Citizens - A Randomized Controlled Trial

TypeinterventionalSponsorHenry Ford Health SystemRan2023 to 2025Enrolled40ConditionsBehavior, HealthArmsElongating Time HOrizons for Reentry (ETHoR), Standardized Episodic Thinking (SET)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Anahi ColladoCofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA.ORCID 0000-0001-9372-3934
Julia W FeltonDivision of Public Health, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-0071-9598
Hailey TaylorCofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA.
Kelly DoranSchool of Nursing, University of Maryland, Baltimore, Baltimore, Maryland, USA.
Richard YiCofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas, USA.
University of Kansas · USMichigan State University · USUniversity of Maryland, Baltimore · US

Funding

Remediation of elevated delay discounting in mid-life individuals: A stage-II trialR01AG048904 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI YI, RICHARD · 2014 to 2021
$2.1M
DEVELOPMENT OF SMOKING CESSATION INTERVENTIONS INFORMED BY TEMPORAL DISCOUNTINGK02DA034767 · NIDA · UNIV OF MARYLAND, COLLEGE PARK · PI YI, RICHARD · 2014 to 2018
$604k
NIA NIH HHS R01 AG048904NIDA NIH HHS K02 DA034767
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

PovertySubstance-Related DisordersAdultAnxietyAnxiety DisordersChildChild, PreschoolEmotionsHumansMiddle AgedPharmaceutical PreparationsPharmaceutical Preparationsdrug useEmotion dysregulationlow-incometrait anxiety

Identifiers

PMID32186420
PMCPMC7255053
OpenAlexW3010968404

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.