Evidence map›Paper›PMID 27633341›Full record

Trial reportAddiction (Abingdon, England)2017

What a difference a day makes: differences in initial abstinence response during a smoking cessation attempt.

Megan E Piper, Sara A Vasilenko, Jessica W Cook, Stephanie T Lanza

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Anhedonia in tobacco withdrawal among African-American smokers.Experimental and clinical psychopharmacology · 2021
    Article
  7. Motives for Substance Use in Daily Life: A Systematic Review of Studies Using Ecological Momentary Assessment.Clinical psychological science : a journal of the Association for Psychological Science · 2021
    Article
  8. Article
  9. Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Review
  12. 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 at 3 institutions in 1 country.

Megan E PiperCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Sara A VasilenkoThe Methodology Center, The Pennsylvania State University, University Park, PA, USA.
Jessica W CookCenter for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Stephanie T LanzaThe Methodology Center, The Pennsylvania State University, University Park, PA, USA.
University of Wisconsin–Madison · USNeurobehavioral Systems · USPennsylvania State University · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Testing Relapse Recovery Intervention ComponentsP01CA180945 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI COLLINS, LINDA M · 2014 to 2023
$23.0M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M · 2015 to 2019
$13.9M
Institutional Clinical and Translational Science Award (UW-Madison)KL2RR025012 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$11.1M
Tobacco Dependence: Treatment and OutcomesP50DA019706 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI FIORE, MICHAEL C · 2004 to 2008
$8.6M
Institutional Clinical and Translational Science AwardKL2TR000428 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$6.2M
E-Cigarettes: Dynamic Patterns of Use and Health EffectsR01CA190025 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI JORENBY, DOUGLAS E, PIPER, MEGAN E · 2015 to 2019
$4.1M
Age-Varying Effects in the Epidemiology of Drug AbuseR01DA039854 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2015 to 2017
$676k
Advancing Tobacco Research by Integrating Systems Science and Mixture ModelsR01CA168676 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2012 to 2014
$498k
Behavioral Activation for Smoking Cessation in Veterans with PTSDI01CX000560 · VA · WM S. MIDDLETON MEMORIAL VETERANS HOSP · PI COOK, JESSICA MEGAN · 2014 to 2018
–
CSRD VA I01 CX000560NCATS NIH HHS KL2 TR000428NCATS NIH HHS UL1 TR000427NCI NIH HHS P01 CA180945NCI NIH HHS R01 CA168676NCI NIH HHS R01 CA190025NCRR NIH HHS KL2 RR025012NIDA NIH HHS P50 DA019706NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039854
6 · The paper itself

Abstract

aimsTo (1) identify distinct classes of smokers based on quit day withdrawal symptoms and (2) explore the relations between withdrawal classes and demographics, tobacco dependence, treatment and smoking outcomes.

designSecondary data analysis of participants (n = 1504) in a randomized double-blind placebo-controlled multi-site smoking cessation trial who provided ecological momentary assessments of withdrawal symptoms on their quit day. Participants received smoking cessation counseling and were randomized to receive placebo or one of five active pharmacotherapies.

settingResearch offices in Madison and Milwaukee, Wisconsin, USA.

participantsAdult smokers (n = 1236; 58% female, 86% white), recruited from the community via advertisements, who abstained on their quit day. MEASUREMENTS: Demographics and tobacco dependence were assessed at baseline and participants carried palmtop computers to record withdrawal symptoms (craving, negative affect, difficulty concentrating, hunger and anhedonia) on their quit day. Point-prevalence abstinence and latency to relapse were assessed at 8 weeks and 6 months post-quit.

findingsLatent class analysis identified four withdrawal classes [Akaike information criterion (AIC) = 70.09]: Moderate withdrawal (64% of sample), high craving-anhedonia (8% of sample), affective withdrawal (13% of sample) and hunger (15% of sample). The high craving-anhedonia class reported significantly higher dependence (P < 0.01), were less likely to have received combination nicotine replacement, reported lower week 8 abstinence rates and relapsed sooner than those in the moderate withdrawal class (P < 0.05). The affective withdrawal class reported higher levels of baseline negative affect and life-time psychopathology (P < 0.05) and relapsed more quickly than the moderate withdrawal class (P < 0.01).

conclusionsWhile the majority of smokers report typical levels of withdrawal symptoms on their quit day, more than one-third report extreme craving or extreme negative affective or extreme hunger responses to initial abstinence. These distinct quit-day withdrawal symptom patterns are related to baseline characteristics, treatment and cessation success.

Indexed as

AdultCounselingCravingDouble-Blind MethodEcological Momentary AssessmentFemaleHumansMaleMiddle AgedRecurrenceSmoking CessationSubstance Withdrawal SyndromeTobacco Use Cessation DevicesTobacco Use DisorderWisconsinAnhedoniacravinglatent class analysisperson-centered analysisrelapsesmoking cessationwithdrawal

Identifiers

PMID27633341
PMCPMC5233552
OpenAlexW2522459826

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.