Evidence map›Paper›PMID 18722721›Full record

ArticleAddictive behaviors2008

A brief 7-day estimate of alcohol consumption for use in smoking cessation clinical trials.

Benjamin A Toll, Robert F Leeman, Sherry A McKee, Stephanie S O'Malley

Abstract read
In one paragraph

Article in Addictive behaviors, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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.

Benjamin A TollYale University School of Medicine, Department of Psychiatry, New Haven, CT 06511, USA. benjamin.toll@yale.edu
Robert F Leeman
Sherry A McKee
Stephanie S O'Malley

Funding

SUBSTANCE ABUSEK12DA000167 · NIDA · YALE UNIVERSITY · PI STEPHANIE S O'MALLEY, Marc N Potenza · 1991 to 2026
$17.7M
Tobacco Dependence &Risk Factors for Treatment FailureP50AA015632 · NIAAA · YALE UNIVERSITY · PI MAKUCH, ROBERT W. · 2004 to 2008
$9.2M
TOBACCO DEPENDENCE AND RISK FACTORS FOR TREATMENT FAILURP50DA013334 · NIDA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 1999 to 2003
$8.0M
Research Training Fellowship in Substance use and Addiction (RTFSA)T32DA007238 · NIDA · YALE UNIVERSITY · PI BRIAN D. KILUK, ISMENE L. PETRAKIS · 1988 to 2026
$5.7M
Protocols, Statistics, Collaborative Method Development and ToolsPL1DA024859 · NIDA · YALE UNIVERSITY · PI SINHA, RAJITA · 2007 to 2011
$3.6M
Improving Alcoholism TreatmentK05AA014715 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2004 to 2013
$2.1M
NIAAA NIH HHS K05 AA014715NIAAA NIH HHS K05-AA014715NIAAA NIH HHS P50 AA015632NIAAA NIH HHS P50-AA15632NIDA NIH HHS K12 DA000167NIDA NIH HHS K12-DA000167NIDA NIH HHS P50 DA013334NIDA NIH HHS P50-DA13334NIDA NIH HHS PL1 DA024859NIDA NIH HHS T32 DA007238NIDA NIH HHS T32-DA007238
6 · The paper itself

Abstract

Accruing evidence of an association between drinking and smoking relapse suggests that it is important to measure alcohol use in smoking cessation studies. However, most studies do not do so, often because of the extra time burden required for these assessments. Data from participants (N=634) in two smoking cessation clinical trials were used to examine the relationship between short and longer periods of monitoring for a number of Timeline Followback (TLFB) drinking metrics at baseline and during treatment. High intercorrelations were found between short (7 and 14 days) and longer (30 and 60 days) time windows for baseline drinking data. Intercorrelations between short (last 7 days of treatment) and longer (entire treatment period) time windows of drinking data during the smoking cessation treatment period were also mostly in the high range. Although total abstinence was significantly overestimated with shorter time windows, for those who were misclassified, percentage of days abstinent was high and percentage of heavy drinking days and number of drinks per drinking day were low during the longer period. Thus, a brief estimate of alcohol use over 7 days at baseline is likely to provide a representative assessment of percentage of days abstinent, percentage of heavy drinking days, and number of drinks per drinking day. To estimate abstinence at baseline and during treatment, however, a more comprehensive period of monitoring may be required.

Indexed as

AdultAlcohol DrinkingClinical Trials as TopicEvidence-Based MedicineFemaleHumansMaleMiddle AgedSecondary PreventionSmokingSmoking CessationTime Factors

Identifiers

PMID18722721
PMCPMC2577001

What OpenQuestion holds

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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.