Evidence map›Paper›PMID 29975071›Full record

ArticlePsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2018

Identifying adolescents with alcohol use disorder: Optimal screening using the National Institute on Alcohol Abuse and Alcoholism screening guide.

Layla Parast, Lisa S Meredith, Bradley D Stein, William G Shadel, Elizabeth J D'Amico

Abstract read
In one paragraph

Article in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Brief Underage Alcohol Use Screener Scores Predict Health Risk Behaviors.The Journal of school nursing : the official publication of the National Association of School Nurses · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. 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.

Layla ParastRAND Corporation.ORCID 0000-0002-7288-1009
Lisa S MeredithRAND Corporation.
Bradley D SteinRAND Corporation.
William G ShadelRAND Corporation.
Elizabeth J D'AmicoRAND Corporation.

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Wade Williams · 2018 to 2026
$27.1M
Alcohol Screening in an Ethnically Diverse Sample of Adolescents in Primary CareR01AA021786 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2012 to 2016
$3.3M
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking CessationR00DA046564 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HEBERT, EMILY TAYLOR · 2021 to 2023
$747k
NCI NIH HHS P30 CA225520NIAAA NIH HHS R01 AA021786NIDA NIH HHS R00 DA046564
6 · The paper itself

Abstract

The National Institute on Alcohol Abuse and Alcoholism (NIAAA) screening guide (SG) uses a 2-question screening process to identify adolescents at risk for alcohol use. The aim of this study was to identify the optimal screening rule in terms of identifying adolescents with alcohol use disorder (AUD) using the NIAAA questions by examining whether the cutpoint should vary by gender, race/ethnicity, grade, and/or age. Youth aged 12 through 18 years (

Indexed as

Primary Health CareUnderage DrinkingAdolescentAlcoholismFemaleHumansMaleMass ScreeningNational Institute on Alcohol Abuse and Alcoholism (U.S.)PediatricsROC CurveSampling StudiesSensitivity and SpecificitySurveys and QuestionnairesUnited States

Identifiers

PMID29975071
PMCPMC6062465

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.