Evidence map›Paper›PMID 27227975›Full record

ArticlePloS one2016

A Screening Tool for Assessing Alcohol Use Risk among Medically Vulnerable Youth.

Sharon Levy, Fatma Dedeoglu, Jonathan M Gaffin, Katharine C Garvey, Elizabeth Harstad, Andrew MacGinnitie, Paul A Rufo, Qian Huang, Rosemary E Ziemnik, Lauren E Wisk and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Screening and Counseling for Alcohol Use in Adolescents With Chronic Medical Conditions in the Ambulatory Setting.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
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  14. Identifying adolescents with alcohol use disorder: Optimal screening using the National Institute on Alcohol Abuse and Alcoholism screening guide.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018
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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

11 authors.

Sharon LevyAdolescent Substance Abuse Program, Division of Developmental Behavioral Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Fatma DedeogluDivision of Immunology, Rheumatology Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Jonathan M GaffinDivision of Respiratory Diseases, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Katharine C GarveyDivision of Endocrinology, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Elizabeth HarstadDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.
Andrew MacGinnitieDivision of Immunology, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Paul A RufoDivision of Gastroenterology, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Qian HuangAdolescent Substance Abuse Program, Division of Developmental Behavioral Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Rosemary E ZiemnikAdolescent Substance Abuse Program, Division of Developmental Behavioral Pediatrics, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Lauren E WiskDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.
Elissa R WeitzmanDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

Validating NIAAA screening guide in YCMC - administrative supplementR01AA021913 · NIAAA · BOSTON CHILDREN'S HOSPITAL · PI LEVY, SHARON J, WEITZMAN, ELISSA R · 2012 to 2014
$1.2M
School-based air pollution and asthma morbidity in Inner City School ChildrenK23AI106945 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI GAFFIN, JONATHAN MARK · 2013 to 2017
$822k
NIAAA NIH HHS R01 AA021913NIAID NIH HHS K23 AI106945
6 · The paper itself

Abstract

backgroundIn an effort to reduce barriers to screening for alcohol use in pediatric primary care, the National Institute on Alcoholism and Alcohol Abuse (NIAAA) developed a two-question Youth Alcohol Screening Tool derived from population-based survey data. It is unknown whether this screening tool, designed for use with general populations, accurately identifies risk among youth with chronic medical conditions (YCMC). This growing population, which comprises nearly one in four youth in the US, faces a unique constellation of drinking-related risks.

methodTo validate the NIAAA Youth Alcohol Screening Tool in a population of YCMC, we performed a cross-sectional validation study with a sample of 388 youth ages 9-18 years presenting for routine subspecialty care at a large children's hospital for type 1 diabetes, persistent asthma, cystic fibrosis, inflammatory bowel disease, or juvenile idiopathic arthritis. Participants self-administered the NIAAA Youth Alcohol Screening Tool and the Diagnostic Interview Schedule for Children as a criterion standard measure of alcohol use disorders (AUD). Receiver operating curve analysis was used to determine cut points for identifying youth at moderate and highest risk for an AUD.

resultsNearly one third of participants (n = 118; 30.4%) reported alcohol use in the past year; 86.4% (106) of past year drinkers did not endorse any AUD criteria, 6.8% (n = 8) of drinkers endorsed a single criterion, and 6.8% of drinkers met criteria for an AUD. Using the NIAAA tool, optimal cut points found to identify youth at moderate and highest risk for an AUD were ≥ 6 and ≥12 drinking days in the past year, respectively.

conclusionsThe NIAAA Youth Alcohol Screening Tool is highly efficient for detecting alcohol use and discriminating disordered use among YCMC. This brief screen appears feasible for use in specialty care to ascertain alcohol-related risk that may impact adversely on health status and disease management.

Indexed as

Mass ScreeningAdolescentAlcohol DrinkingAlcohol-Related DisordersChildCross-Sectional StudiesFemaleHumansMaleRisk AssessmentROC CurveUnited StatesVulnerable Populations

Identifiers

PMID27227975
PMCPMC4882018

What OpenQuestion holds

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LicenceCC BY
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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.