Evidence map›Paper›PMID 31386967›Full record

ArticleAddictive behaviors2019

Lack of utility of cigarettes per day cutoffs for clinical and laboratory smoking research.

Jason A Oliver, Lauren R Pacek, Erin N Locey, Laura M Fish, Peter S Hendricks, Kathryn I Pollak

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2019. 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
0.5field-weighted citation impact, top 32% of its field
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, 5 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Jason A OliverDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States of America; Division of Cancer Control and Population Sciences, Duke Cancer Institute, United States of America. Electronic address: Jason.A.Oliver@duke.edu.
Lauren R PacekDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States of America.
Erin N LoceyDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, United States of America.
Laura M FishDivision of Cancer Control and Population Sciences, Duke Cancer Institute, United States of America; Department of Community and Family Medicine, Duke University School of Medicine, United States of America.
Peter S HendricksDepartment of Health Behavior, University of Alabama at Birmingham, United States of America.
Kathryn I PollakDivision of Cancer Control and Population Sciences, Duke Cancer Institute, United States of America; Department of Population Sciences, Duke University School of Medicine, United States of America.
Duke University · USDuke Cancer InstituteUniversity of Alabama at Birmingham · US

Funding

Mobile health interventions for varenicline adherence among HIV-positive smokersK01DA043413 · NIDA · DUKE UNIVERSITY · PI PACEK, LAUREN RENEE · 2017 to 2021
$860k
Nicotine Withdrawal and Reward Processing: Connecting Neurobiology toReal-World BehaviorK23DA042898 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI OLIVER, JASON ANTHONY · 2017 to 2021
$855k
Neurobehavioral substrates of propranolol's effects on drug cue reactivityR03DA043756 · NIDA · DUKE UNIVERSITY · PI OLIVER, JASON ANTHONY · 2017 to 2017
$239k
NIDA NIH HHS K01 DA043413NIDA NIH HHS K23 DA042898NIDA NIH HHS R03 DA043756
6 · The paper itself

Abstract

backgroundMost clinical and laboratory smoking research studies require that participants smoke at a certain level to be eligible for enrollment. However, there is limited evidence that use of these cutoffs differentiates groups of smokers along clinically meaningful criteria.

methodsUsing receiver operating characteristic curves, we analyzed data from daily smokers in the National Epidemiologic Study of Alcohol Use and Related Conditions - III (NESARC-III) to examine the utility of smoking rates for determining whether participants met DSM-5 criteria for tobacco use disorder, experienced nicotine withdrawal or had a history of failed quit attempts. We also examined whether relationships between these variables differed as a function of key sample characteristics.

resultsSmoking rate exhibited a weak relationship with the presence of tobacco use disorder (AUC = 0.664), whether individuals experience nicotine withdrawal (AUC = 0.672) and whether individuals had a history of failed quit attempts (AUC = 0.578). The relationship between smoking rate and a history of failed quit attempts was weaker for women than men (p < .05). Otherwise, utility did not differ as a function of sex, race/ethnicity, education, income, or use of multiple tobacco products. Optimal cutoffs varied somewhat across indices, but the largest number of correct classifications occurred at very low smoking rates.

conclusionsResearchers should consider abandoning the use of smoking rate cutoffs to determine study eligibility. If smoking rate cutoffs are used, a rationale should be presented along with justification for the specific cutoff chosen.

Indexed as

Research DesignAdultFemaleHumansMaleSensitivity and SpecificitySmoking CessationTobacco ProductsTobacco SmokingUnited StatesCigarettesMethodologyNicotine dependenceSmokingTobaccoWithdrawal

Identifiers

PMID31386967
PMCPMC6708747
OpenAlexW2965309603

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.