Evidence map›Paper›PMID 27208830›Full record

ReviewNeuroscience letters2018

Pathways to precision medicine in smoking cessation treatments.

Li-Shiun Chen, Amy Horton, Laura Bierut

Abstract readReview
In one paragraph

Review in Neuroscience letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Impact of Genetic Variants in the Nicotine Metabolism Pathway on Nicotine Metabolite Levels in Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  11. CYP2C19 Plays a Major Role in the HepaticDrug metabolism and disposition: the biological fate of chemicals · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Genetics of Smoking Behaviors in American Indians.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  18. Attitudes toward Precision Treatment of Smoking in the Southern Community Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  19. Pharmacogenomics of chronic obstructive pulmonary disease.Expert review of respiratory medicine · 2019
    Review
  20. 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

3 authors.

Li-Shiun ChenDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States. Electronic address: chenli@psychiatry.wustl.edu.
Amy HortonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States.
Laura BierutDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, United States.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Washington University Institute of Clinical and Translational Sciences (KL2)KL2RR024994 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$8.6M
Genetically Informed Smoking Cessation TrialR01DA038076 · NIDA · WASHINGTON UNIVERSITY · PI CHEN, LI-SHIUN · 2014 to 2018
$3.3M
Nicotine Dependence to Smoking Cessation: Sequencing Common and Rare VariantsR01DA036583 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2014 to 2017
$3.0M
Genetic and Environmental Risks for Smoking Characteristics and CessationK08DA030398 · NIDA · WASHINGTON UNIVERSITY · PI CHEN, LI-SHIUN · 2011 to 2014
$671k
NCATS NIH HHS KL2 TR000450NCATS NIH HHS KL2 TR002346NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NCRR NIH HHS KL2 RR024994NIDA NIH HHS K08 DA030398NIDA NIH HHS R01 DA036583NIDA NIH HHS R01 DA038076
6 · The paper itself

Abstract

Cigarette smoking is highly addictive and modern genetic research has identified robust genetic influences on nicotine dependence. An important step in translating these genetic findings to clinical practice is identifying the genetic factors affecting smoking cessation in order to enhance current smoking cessation treatments. We reviewed the significant genetic variants that predict nicotine dependence, smoking cessation, and response to cessation pharmacotherapy. These data suggest that genetic risks can predict smoking cessation outcomes and moderate the effect of pharmacological treatments. Some pharmacogenetic findings have been replicated in meta-analyses or in multiple smoking cessation trials. The variation in efficacy between smokers with different genetic markers supports the notion that personalized smoking cessation intervention based upon genotype could maximize the efficiency of such treatment while minimizing side effects, thus influencing the number needed to treat (NNT) and the number needed to harm. In summary, as precision medicine is revolutionizing healthcare, smoking cessation may be one of the first areas where genetic variants may identify individuals at increased risk. Current evidence strongly suggests that genetic variants predict cessation failure and that cessation pharmacotherapy effectiveness is modulated by biomarkers such as nicotinic cholinergic receptor α5 subunit (CHRNA5) genotypes or nicotine metabolism ratio (NMR). These findings strengthen the case for the development and rigorous testing of treatments that target patients with different biological risk profiles.

Indexed as

Gene-Environment InteractionGenetic MarkersHumansNicotinePharmacogeneticsPrecision MedicineSmokingSmoking CessationSmoking Cessation AgentsTobacco Use DisorderGenetic MarkersNicotineSmoking Cessation AgentsPharmacogeneticsPrecision medicineSmoking cessation

Identifiers

PMID27208830
PMCPMC5115988

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.