Evidence map›Paper›PMID 30452739›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

The Network Structure of Tobacco Withdrawal in a Community Sample of Smokers Treated With Nicotine Patch and Behavioral Counseling.

David M Lydon-Staley, Robert A Schnoll, Brian Hitsman, Danielle S Bassett

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Exploring the nature and relationship of tobacco cigarette craving and withdrawal.Journal of psychopathology and clinical science · 2026
    Article
  3. Tobacco withdrawal system recovery time assessed during smoking satiety predicts smoking behavior change among individuals who smoke cigarettes daily.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  4. Observational
  5. Article
  6. A Network Analysis of Cigarette Craving.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  7. Tobacco Use Disorder.The Medical clinics of North America · 2022
    Review
  8. Article
  9. Article
  10. Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?International journal of environmental research and public health · 2020
    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 2 institutions in 1 country.

David M Lydon-StaleyDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA.
Robert A SchnollDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA.
Brian HitsmanDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · USNorthwestern University · US

Funding

Neuroimaging Abstinence and Medication ResponseP50CA143187 · NCI · UNIVERSITY OF PENNSYLVANIA · PI AUDRAIN-MCGOVERN, JANET E · 2009 to 2013
$8.6M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
A Patient-Oriented Research Mentoring Program in Tobacco Dependence ResearchK24DA045244 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI Robert Adam Schnoll · 2018 to 2026
$1.7M
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
NCI NIH HHS P50 CA143187NICHD NIH HHS R01 HD086888NIDA NIH HHS K24 DA045244NIMH NIH HHS R21 MH106799NINDS NIH HHS R01 NS099348
6 · The paper itself

Abstract

introductionNetwork theories of psychopathology highlight that, rather than being indicators of a latent disorder, symptoms of disorders can causally interact with one another in a network. This study examined tobacco withdrawal from a network perspective.

methodsParticipants (n = 525, 50.67% female) completed the Minnesota Tobacco Withdrawal Scale four times (2 weeks prior to a target quit day, on the target quit day, and 4 and 8 weeks after the target quit day) over the course of 8 weeks of treatment with nicotine patch and behavioral counseling within a randomized clinical trial testing long-term nicotine patch therapy in treatment-seeking smokers. The conditional dependence among seven withdrawal symptoms was estimated at each of the four measurement occasions. Influential symptoms of withdrawal were identified using centrality indices. Changes in network structure were examined using the Network Comparison Test.

resultsFindings indicated many associations among the individual symptoms of withdrawal. The strongest associations that emerged were between sleep problems and restlessness, and associations among affective symptoms. Restlessness and affective symptoms emerged as the most central symptoms in the withdrawal networks. Minimal differences in the structure of the withdrawal networks emerged across time.

conclusionsThe cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal rather than simply reflecting passive indicators of a latent disorder. Findings encourage greater consideration of individual withdrawal symptoms and their potential interactions and may be used to generate hypotheses that may be tested in future intensive longitudinal studies. IMPLICATIONS: This study provides a novel, network perspective on tobacco withdrawal. Drawing on network theories of psychopathology, we suggest that the cooccurrence of withdrawal symptoms may result from interactions among symptoms of withdrawal over time, rather than simply reflecting passive indicators of a latent disorder. Results indicating many associations among individual symptoms of withdrawal are consistent with a network perspective. Other results of interest include minimal changes in the network structure of withdrawal across four measurement occasions prior to and during treatment with nicotine patch and behavioral counseling.

Indexed as

Social NetworkingTobacco Use Cessation DevicesAdolescentAdultBehavior TherapyCombined Modality TherapyCommunity NetworksCounselingFemaleHumansMaleMiddle AgedMinnesotaNicotineSmokersSmoking CessationNicotine

Identifiers

PMID30452739
PMCPMC7297103
OpenAlexW2901237465

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.