Evidence map›Paper›PMID 31386768›Full record

SynthesisAlcoholism, clinical and experimental research2019

Facilitating Screening and Brief Interventions in Primary Care: A Systematic Review and Meta-Analysis of the AUDIT as an Indicator of Alcohol Use Disorders.

Shannon Lange, Kevin Shield, Maristela Monteiro, Jürgen Rehm

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 7 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

23 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Guideline
  2. Screening for high-risk drinking and alcohol use disorder: update of the 2023 national clinical practice guideline.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Guideline
  3. Canadian guideline for the clinical management of high-risk drinking and alcohol use disorder.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
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  12. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Contextual decision-making and alcohol use disorder criteria: Delayed reward, delayed loss, and probabilistic reward discounting.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Article
  18. Article
  19. Screening for Alcohol Use in Pregnancy: a Review of Current Practices and Perspectives.International journal of mental health and addiction · 2023
    Article
  20. 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

4 authors.

Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0002-8067-8932
Kevin ShieldInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Maristela MonteiroNoncommunicable Diseases and Mental Health Department, Pan American Health Organization (PAHO), Washington, District of Columbia.
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0001-5665-0385

Funding

CIHRPan American Health Organization
6 · The paper itself

Abstract

backgroundThe Alcohol Use Disorders Identification Test (AUDIT) was developed for use in primary health care settings to identify hazardous and harmful patterns of alcohol consumption, and is often used to screen for alcohol use disorders (AUDs). This study examined the AUDIT as a screening tool for AUDs.

methodsA systematic literature search was performed of electronic bibliographic databases (CINAHL, Embase, ERIC, MEDLINE, PsycINFO, Scopus, and Web of Science) without language or geographic restrictions for original quantitative studies published before September 1, 2018, that assess the AUDIT's ability to screen for AUDs. Random-effects meta-regression models were constructed by sex to assess the potential determinants of the AUDIT's specificity and sensitivity. From these models and ecological data from the Global Information System on Alcohol and Health, the true- and false-positive and true- and false-negative proportions were determined. The number of people needed to be screened to treat 1 individual with an AUD was estimated for all countries globally where AUD data exist, using a specificity of 0.95.

resultsA total of 36 studies met inclusion criteria for the meta-regression. The AUDIT score cut-point was significantly associated with sensitivity and specificity. Standard drink size was found to affect the sensitivity and specificity of the AUDIT for men, but not among women. The AUDIT performs less well in identifying women compared to men, and countries with a low prevalence of AUDs have higher false-positive rates compared to countries with a higher AUD prevalence.

conclusionsThe AUDIT does not perform well as a screening tool for identifying individuals with an AUD, especially in countries and among populations with a low AUD prevalence (e.g., among women), and thus should not be used for this purpose.

Indexed as

AlcoholismHumansMass ScreeningReproducibility of ResultsSensitivity and SpecificityAlcohol Use DisordersAlcohol Use Disorders Identification TestClassification AccuracyScreening

Identifiers

PMID31386768
PMCPMC6852009

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.