Evidence map›Paper›PMID 23588313›Full record

ReviewClinical pharmacology and therapeutics2013

Biomarkers for smoking cessation.

K J Bough, C Lerman, J E Rose, F J McClernon, P J Kenny, R F Tyndale, S P David, E A Stein, G R Uhl, D V Conti and 2 more

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Nicotine Metabolite Ratio is Associated With Early Smoking Abstinence Even After Controlling for Factors That Influence the Nicotine Metabolite Ratio.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Trial
  4. Test-Retest Reliability and Stability of the Nicotine Metabolite Ratio Among Treatment-Seeking Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015
    Trial
  5. Trial
  6. Known and novel sources of variability in the nicotine metabolite ratio in a large sample of treatment-seeking smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Trial
  7. Brief meditation training induces smoking reduction.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Review
  15. Biomarkers for Tobacco Exposures, Toxicology, Regulation, and Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Article
  16. Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Review
  17. The Value of Biosamples in Smoking Cessation Trials: A Review of Genetic, Metabolomic, and Epigenetic Findings.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Review
  18. Review
  19. Article
  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

12 authors.

K J BoughDivision of Pharmacotherapies and Medical Consequences, National Institute on Drug Abuse, Bethesda, Maryland, USA. boughk@mail.nih.gov
C Lerman
J E Rose
F J McClernon
P J Kenny
R F Tyndale
S P David
E A Stein
G R Uhl
D V Conti
C Green
S Amur

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Translational MR Imaging in Cocaine Pharmacotherapy DevelopmentP50DA009262 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MOELLER, FREDERICK GERARD · 1994 to 2014
$26.9M
University of Toronto Coordinating Genetics Core & Clinical Trial SiteU01DA020830 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CONTI, DAVID V · 2005 to 2014
$22.4M
Functional and Structural Brain Circuits Underlying SmokingZIADA000573 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI STEIN, ELLIOT A · 2010 to 2021
$19.4M
TRANSDISCIPLINARY TOBACCO USE RESEARCH CENTERSP50CA084718 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PERKINS, KENNETH ALAN · 1999 to 2008
$17.8M
Recruitment CoreP50DA027840 · NIDA · DUKE UNIVERSITY · PI ROSE, JED E · 2010 to 2019
$14.9M
Neuroimaging Abstinence and Medication ResponseP50CA143187 · NCI · UNIVERSITY OF PENNSYLVANIA · PI AUDRAIN-MCGOVERN, JANET E · 2009 to 2013
$8.6M
Extended Treatment for Smoking CessationR01DA017441 · NIDA · STANFORD UNIVERSITY · PI DAVID, SEAN P. · 2003 to 2013
$5.2M
Role of MicroRNAs in the Mechanisms of Drug DependenceR01DA025983 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI KENNY, PAUL J. · 2008 to 2020
$4.0M
Genetic Approaches To Characterizing Drug Responses And Vulnerabilities: HumansZIADA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$3.4M
Molecular Genetic Bases for Quit SuccessZIADA000537 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$2.9M
Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
CIHR MOP-86471CIHR TMH-109787Intramural NIH HHSNCI NIH HHS P30 CA016520NCI NIH HHS P50 CA084718NCI NIH HHS P50 CA143187NCI NIH HHS R01 CA140561NIDA NIH HHS P50 DA009262NIDA NIH HHS P50 DA027840NIDA NIH HHS R01 DA017441NIDA NIH HHS R01 DA025876NIDA NIH HHS R01 DA025983NIDA NIH HHS R01DA025983NIDA NIH HHS R21 DA027331NIDA NIH HHS R21DA027331NIDA NIH HHS U01 DA020830NIEHS NIH HHS R01 ES019876
6 · The paper itself

Abstract

One way to enhance therapeutic development is through the identification and development of evaluative tools such as biomarkers. This review focuses on putative diagnostic, pharmacodynamic, and predictive biomarkers for smoking cessation. These types of biomarkers may be used to more accurately diagnose a disease, personalize treatment, identify novel targets for drug discovery, and enhance the efficiency of drug development. Promising biomarkers are presented across a range of approaches including metabolism, genetics, and neuroimaging. A preclinical viewpoint is also offered, as are analytical considerations and a regulatory perspective summarizing a pathway toward biomarker qualification.

Indexed as

BiomarkersSmoking CessationDrug DiscoveryHumansNeuroimagingPharmacogeneticsTranslational Research, BiomedicalBiomarkers

Identifiers

PMID23588313
PMCPMC3772534

What OpenQuestion holds

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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.