Evidence map›Paper›PMID 23490581›Full record

ArticleJournal of studies on alcohol and drugs2013

Measuring alcohol consumption using Timeline Followback in non-treatment-seeking medical clinic patients with and without HIV infection: 7-, 14-, or 30-day recall.

David A Fiellin, Kathleen A McGinnis, Stephen A Maisto, Amy C Justice, Kendall Bryant

Abstract readComparative Study
In one paragraph

Article in Journal of studies on alcohol and drugs, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

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  18. A review of studies of drinking patterns in the United States since 1940.Journal of studies on alcohol and drugs. Supplement · 2014
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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

5 authors.

David A FiellinDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA. david.fiellin@yale.edu
Kathleen A McGinnis
Stephen A Maisto
Amy C Justice
Kendall Bryant

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI John Edward Pachankis · 2001 to 2026
$48.5M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Integrated Stepped Care for Unhealthy Alcohol Use in HIVU01AA020795 · NIAAA · YALE UNIVERSITY · PI FIELLIN, DAVID · 2011 to 2020
$5.2M
NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01AA020790NIAAA NIH HHS U01 AA020795NIAAA NIH HHS U01AA020795NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U10AA013566NIAAA NIH HHS U24 AA020794NIAAA NIH HHS U24AA020794NIMH NIH HHS P30 MH062294
6 · The paper itself

Abstract

objectiveThe measurement of alcohol consumption is an essential component of research in patients at risk for or infected with HIV. Daily estimation measures such as the Timeline Followback (TLFB) have been validated, yet the optimal time window and its performance in non-treatment-seeking medical clinic subjects and among those with HIV are not known.

methodIn 1,519 HIV-infected and 1,612 uninfected men receiving medical care in general medical or infectious disease clinics, we compared the association between 7-, 14-, and 30-day TLFB reports, obtained via telephone, of alcohol consumption using Spearman's correlation coefficients. To evaluate agreement between 7-, 14-, and 30-day reports of heavy episodic drinking, we evaluated percent agreement, sensitivity, and kappa statistics, considering 30-day report as the gold standard.

resultsThe estimated prevalence of heavy episodic drinking was progressively higher for longer TLFB intervals (7 days: 6.3%; 14 days: 8.0%; 30 days: 9.5%). Correlation coefficients with 30- day TLFB were higher for 14 days (.94) than for 7 days (.86) overall (p < .001) and among HIV-infected (.94 vs. .86, p < .001) and uninfected (.95 vs. .87, p < 001). Correlations were similar by HIV status. When considered overall and by HIV status, the sensitivity, percent agreement, and kappa statistics are better for heavy episodic drinking based on 14 days compared with 7 days.

conclusionsA TLFB for alcohol consumption of 14 days is preferable to 7 days for non-treatment-seeking patients in medical clinics with and without HIV infection when compared with 30 days.

Indexed as

Alcohol DrinkingBinge DrinkingData CollectionFemaleHIV InfectionsHumansMaleMiddle AgedPrevalenceProspective StudiesRiskSensitivity and SpecificityStatistics, NonparametricTime Factors

Identifiers

PMID23490581
PMCPMC3602364

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.