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PMID: 2148490 Published · ppublish English Journal Article Meta-Analysis

Uterine cervical cancer risk in cigarette smokers: a meta-analytic study.

American journal of preventive medicine ·Vol. 6 ·No. 5 ·1990-00-00 ·Pages 274-81

Licciardone JC, Brownson RC, Chang JC, Wilkins JR

Abstract

We conducted a meta-analytic study to measure the risk of uterine cervical cancer in former and current smokers. A literature search from 1966 to 1988 identified 139 MEDLINE citations. Of these, five studies reported appropriate and complete data for meta-analysis. A recent study conducted by the authors was also included. The graphical and variance-based methods of meta-analysis consistently demonstrated a significantly excessive risk of cervical cancer in current smokers, but not in former smokers. The powers of the analyses involving former smokers were between 0.72 and 0.99, depending on the degree of confounding attributed to unmeasured variables. Thus, it was unlikely that sample size accounted for the null association observed in former smokers. These findings have important medical implications for women in light of the prevalence of cigarette smoking. During regular gynecologic screening examinations, health care professionals may have considerable impact by counseling women about the risk of cervical cancer in smokers. Antismoking messages should be strongly directed toward women in the lower educational and socioeconomic levels to have the greatest impact on the incidence of cervical cancer.

MeSH Terms
Adult Confounding Factors, Epidemiologic Female Health Education Humans Meta-Analysis as Topic Odds Ratio Risk Smoking/adverse effects Smoking Prevention United States/epidemiology Uterine Neoplasms/etiology
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Licciardone J C
Department of Public Health and Preventive Medicine, Texas College of Osteopathic Medicine, Fort Worth 76107.
Brownson R C
Chang J C
Wilkins J R
Article Info
Journal
American journal of preventive medicine
Abbr.
Am J Prev Med
ISSN
0749-3797
Published
1990-00-00
Pages
274-81
Language
English
Region
Netherlands
NLM ID
8704773
Subset
IM
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