Evidence map›Paper›PMID 37209421›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Can Treatment Support Mitigate Nicotine Metabolism-Based Disparities in Smoking Abstinence? Secondary Analysis of the Helping HAND 4 Trial.

Scott S Lee, Yuchiao Chang, Nancy A Rigotti, Daniel E Singer, Douglas E Levy, Rachel F Tyndale, Esa M Davis, Matthew S Freiberg, Stephen King, Quinn S Wells and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
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

11 authors at 4 institutions in 2 countries.

Scott S LeeDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-0970-1941
Yuchiao ChangDepartment of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Nancy A RigottiDepartment of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Daniel E SingerDepartment of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Douglas E LevyDepartment of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9446-7899
Rachel F TyndaleDepartments of Psychiatry, and Pharmacology and Toxicology, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-1297-2053
Esa M DavisDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Matthew S FreibergDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Stephen KingDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Quinn S WellsDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Hilary A TindleDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USHarvard University · USCentre for Addiction and Mental Health · CAUniversity of Pittsburgh Medical Center · US

Funding

Comparative Effectiveness of Post-Discharge Strategies for Hospitalized SmokersR01HL111821 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI RIGOTTI, NANCY A, TINDLE, HILARY A. · 2012 to 2021
$8.4M
Vanderbilt Scholars in T4 Translational Research (V-STTaR) ProgramK12HL137943 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL, ROUMIE, CHRISTIANNE L. · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137943NHLBI NIH HHS R01 HL111821
6 · The paper itself

Abstract

introductionThe nicotine metabolite ratio (NMR), a biomarker of CYP2A6-mediated nicotine metabolism, predicts the efficacy of nicotine replacement therapy (NRT), with fast metabolizers benefiting less than slow metabolizers. Whether treatment support to optimize NRT use (henceforth "treatment support") modifies this pharmacogenetic relationship is unknown.

methodsHospitalized adult daily smokers were assigned to one of two post-discharge smoking cessation interventions offering NRT and counseling: (1) Transitional Tobacco Care Management, which delivered enhanced treatment support via free combination NRT at discharge and automated counseling, and (2) a quitline-based approach representing usual care (UC). The primary outcome was biochemically verified 7-day point prevalence abstinence 6 months after discharge. Secondary outcomes were the use of NRT and counseling during the 3-month intervention period. Logistic regression models tested for interactions between NMR and intervention, controlling for sex, race, alcohol use, and BMI.

resultsParticipants (N = 321) were classified as slow (n = 80) or fast (n = 241) metabolizers relative to the first quartile of NMR (0.012-0.219 vs. 0.221-3.455, respectively). Under UC, fast (vs. slow) metabolizers had lower odds of abstinence at 6 months (aOR 0.35, 95% CI 0.13-0.95) and similar odds of NRT and counseling use. Compared to UC, enhanced treatment support increased abstinence (aOR 2.13, 95% CI 0.98-4.64) and use of combination NRT (aOR 4.62, 95% CI 2.57-8.31) in fast metabolizers, while reducing abstinence in slow metabolizers (aOR 0.21, 95% CI 0.05-0.87; NMR-by-intervention interaction p = .004).

conclusionsTreatment support increased abstinence and optimal use of NRT among fast nicotine metabolizers, thereby mitigating the gap in abstinence between fast and slow metabolizers. IMPLICATIONS: In this secondary analysis of two smoking cessation interventions for recently hospitalized smokers, fast nicotine metabolizers quit at lower rates than slow metabolizers, but providing fast metabolizers with enhanced treatment support doubled the odds of quitting in this group and mitigated the disparity in abstinence between fast and slow metabolizers. If validated, these findings could lead to personalized approaches to smoking cessation treatment that improve outcomes by targeting treatment support to those who need it most.

Indexed as

NicotineSmoking CessationAdultAftercareFemaleHumansMaleMiddle AgedPatient DischargeSmoking Cessation AgentsTobacco Use Cessation DevicesNicotineSmoking Cessation Agents

Identifiers

PMID37209421
PMCPMC10439488
OpenAlexW4377136680

What OpenQuestion holds

Textmetadata
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.