Evidence map›Paper›PMID 40322942›Full record

ArticleSubstance use & addiction journal2025

Identifying Alcohol Use Disorder and Problem Use in Adult Primary Care Patients: Comparison of the Tobacco, Alcohol, Prescription Medication and Other Substance (TAPS) Tool With the Alcohol Use Disorders Identification Test Consumption Items (AUDIT-C).

Angéline Adam, Eugene Laska, Robert P Schwartz, Li-Tzy Wu, Geetha A Subramaniam, Noa Appleton, Jennifer McNeely

Abstract readComparative Study
In one paragraph

Article in Substance use & addiction journal, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Angéline AdamAddiction Medicine, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-4874-7758
Eugene LaskaDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Robert P SchwartzFriends Research Institute, Inc., Baltimore, MD, USA.
Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Geetha A SubramaniamCenter for the Clinical Trials Network, National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
Noa AppletonDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Jennifer McNeelyDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
Clinical Trials Network: Mid-Atlantic Integrated Care Research CollaborativeUG1DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 2015 to 2019
$11.0M
Project-003UG1DA040317 · NIDA · DUKE UNIVERSITY · PI WU, LI-TZY · 2015 to 2019
$9.0M
NIDA NIH HHS U10 DA013727NIDA NIH HHS UG1 DA013034NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1 DA040317
6 · The paper itself

Abstract

backgroundThe Tobacco, Alcohol, Prescription Medication, and Other Substance (TAPS) tool is a screening and brief assessment instrument to identify unhealthy tobacco, alcohol, drug use, and prescription medication use in primary care patients. This secondary analysis compares the TAPS tool to the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) for alcohol screening.

methodsAdult primary care patients (1124 female, 874 male) completed the TAPS tool followed by AUDIT-C. Performance of each instrument was evaluated against a reference standard measure, the modified World Mental Health Composite International Diagnostic Interview, to identify problem use and alcohol use disorder (AUD). Area under the curve (AUC) appraised discrimination, and sensitivity and specificity were calculated for Youden optimal score thresholds.

resultsFor identifying problem use: On the AUDIT-C, AUC was 0.90 (95% Confidence Interval: 0.86-0.92) for females and 0.91 (0.89-0.93) for males. Sensitivity and specificity for females were 0.89 (0.83-0.93) and 0.78 (0.75-0.80), respectively, and for males were 0.84 (0.79-0.88) and 0.82 (0.79-0.85). On the TAPS tool, AUC was 0.82 (0.79-0.86) for females and 0.81 (0.78-0.84) for males. Sensitivity and specificity for females were 0.78 (0.72-0.84) and 0.78 (0.75-0.81), respectively, and for males were 0.76 (0.71-0.81) and 0.76 (0.72-0.79). For AUD: On the AUDIT-C, AUC was 0.90 (0.88-0.93) for both females and males. Sensitivity and specificity for females were 0.83 (0.74-0.90) and 0.83 (0.80-0.85), respectively, while for males, they were 0.81 (0.74-0.87) and 0.84 (0.81-0.87). On the TAPS tool, AUC was 0.84 (0.80-0.89) for females and 0.82 (0.78-0.86) for males. Sensitivity and specificity for females were 0.73 (0.63-0.81) and 0.85 (0.83-0.88), respectively, while for males, they were 0.75 (0.68-0.81) and 0.84 (0.81-0.86).

conclusionThe AUDIT-C performed somewhat better than the TAPS tool for alcohol screening. However, the TAPS tool had an acceptable level of performance for alcohol screening and may be advantageous in practice settings seeking to identify alcohol and other substance use with a single instrument.

Indexed as

AlcoholismSubstance-Related DisordersAdultAgedFemaleHumansMaleMiddle AgedPrimary Health CareSensitivity and SpecificityYoung Adultalcohol use disorderAUDIT-Cprimary carescreeningsubstance useunhealthy alcohol use

Identifiers

PMID40322942
PMCPMC12928717

What OpenQuestion holds

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Registered trials

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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.