ReviewTrends in molecular medicine2018
Preparing the Way: Exploiting Genomic Medicine to Stop Smoking.
Review in Trends in molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Cognitive and Affective Responses to Mass-media Based Genetic Risk Information in a Socio-demographically Diverse Sample of Smokers.Journal of health communication · 2019Trial
- The use of biomarkers to guide precision treatment for tobacco use.Addiction neuroscience · 2023Article
- Dispositional optimism and optimistic bias: Associations with cessation motivation, confidence, and attitudes.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022Article
- Genetic influences impacting nicotine use and abuse during adolescence: Insights from human and rodent studies.Brain research bulletin · 2022Review
- Multiethnic Prediction of Nicotine Biomarkers and Association With Nicotine Dependence.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Genetic Variants in Smoking-Related Genes in Two Smoking Cessation Programs: A Cross-Sectional Study.International journal of environmental research and public health · 2021Article
- Behavioral and Genetic Factors Associated with Successful Long-Term Cessation in Persons with HIV Who Smoke Cigarettes.Journal of smoking cessation · 2021Article
- Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health.Cancer prevention research (Philadelphia, Pa.) · 2020Article
- The Neuroscience of Drug Reward and Addiction.Physiological reviews · 2019Review
- 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 · 2019Article
- Multigenerational and transgenerational effects of paternal exposure to drugs of abuse on behavioral and neural function.The European journal of neuroscience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Clinical medicine of the future is poised to use an individual's genomic data to predict disease risk and guide clinical care. The treatment of cigarette smoking and tobacco use disorder represents a prime area for genomics implementation. The genes CHRNA5 and CYP2A6 are strong genomic contributors that alter the risk of heaviness of smoking, tobacco use disorder, and smoking-related diseases in humans. These biomarkers have proven analytical and clinical validity, and evidence for their clinical utility continues to grow. We propose that these biomarkers harbor the potential of enabling the identification of elevated disease risk in smokers, personalizing smoking cessation treatments, and motivating behavioral changes. We must prepare for the integration of genomic applications into clinical care of patients who smoke.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.