Evidence map›Paper›PMID 25063521›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

A risk prediction model for smoking experimentation in Mexican American youth.

Rajesh Talluri, Anna V Wilkinson, Margaret R Spitz, Sanjay Shete

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Machine Learning Helps in Prediction of Tobacco Smoking in Adolescents.International journal of preventive medicine · 2025
    Article
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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.

Rajesh TalluriDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Anna V WilkinsonThe University of Texas School of Public Health, Austin Regional Campus, Austin, Texas.
Margaret R SpitzBaylor College of Medicine, Houston, Texas.
Sanjay SheteDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas. sshete@mdanderson.org.
Baylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Molecular Epidemiology of Neuropathic Pain in Head and Neck CancerR01DE022891 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI REYES-GIBBY, CIELITO C, SHETE, SANJAY · 2012 to 2016
$3.0M
Biobehavioral-Smoking Profiles in Mexican-American YouthR01CA105203 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 2004 to 2008
$2.9M
Genome Wide Association Study of Head and Neck CancerR01CA131324 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHETE, SANJAY · 2009 to 2013
$2.8M
Innovative Multidisciplinary Education: The Statistical Genetics of AddictionR25DA026120 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE, SHETE, SANJAY · 2010 to 2014
$1.5M
Bio-Behavioral Smoking Profiles in Mexican Origin YouthK07CA126988 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WILKINSON, ANNA VICTORIA · 2008 to 2012
$753k
NCI NIH HHS CA105203NCI NIH HHS CA126988NCI NIH HHS K07 CA126988NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA105203NCI NIH HHS R01 CA131324NCI NIH HHS R01CA131324NIDA NIH HHS R25 DA026120NIDCR NIH HHS R01 DE022891NIDCR NIH HHS R01DE022891
6 · The paper itself

Abstract

backgroundSmoking experimentation in Mexican American youth is problematic. In light of the research showing that preventing smoking experimentation is a valid strategy for smoking prevention, there is a need to identify Mexican American youth at high risk for experimentation.

methodsA prospective population-based cohort of 1,179 adolescents of Mexican descent was followed for 5 years starting in 2005-06. Participants completed a baseline interview at a home visit followed by three telephone interviews at intervals of approximately 6 months and additional interviews at two home visits in 2008-09 and 2010-11. The primary endpoint of interest in this study was smoking experimentation. Information about social, cultural, and behavioral factors (e.g., acculturation, susceptibility to experimentation, home characteristics, and household influences) was collected at baseline using validated questionnaires.

resultsAge, sex, cognitive susceptibility, household smoking behavior, peer influence, neighborhood influence, acculturation, work characteristics, positive outcome expectations, family cohesion, degree of tension, ability to concentrate, and school discipline were found to be associated with smoking experimentation. In a validation dataset, the proposed risk prediction model had an area under the receiver operating characteristic curve (AUC) of 0.719 (95% confidence interval, 0.637-0.801) for predicting absolute risk for smoking experimentation within 1 year.

conclusionsThe proposed risk prediction model is able to quantify the risk of smoking experimentation in Mexican American adolescents. IMPACT: Accurately identifying Mexican American adolescents who are at higher risk for smoking experimentation who can be intervened will substantially reduce the incidence of smoking and thereby subsequent health risks.

Indexed as

AcculturationAdolescentAdolescent BehaviorArea Under CurveFemaleHumansMaleMexican AmericansProportional Hazards ModelsRisk FactorsRisk-TakingROC CurveSmoking

Identifiers

PMID25063521
PMCPMC4184980
OpenAlexW2095903202

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.