Literature DB >> 3607728

The frequency of cervical cancer screening. Comparison of a mathematical model with empirical data.

D M Eddy.   

Abstract

The results of a mathematical model used to analyze the frequency of the Pap smear are compared with a recently published independent empirical study of data from large screening programs in Europe and North America. The model's predictions of the reduced incidence of invasive cervical cancer achieved with different screening frequencies match the empirical results closely--the predictions were within 1% of the empirical results for screening frequencies ranging from 1 to 10 years. The data indicate that compared with annual screening, screening every 2, 3, 5, and 10 years retains 99%, 97%, 89%, and 69%, respectively, of the effectiveness measured as a reduction in frequency of invasive cancer. The mathematical model underestimated the effectiveness of screening every 3 years, compared with screening every year.

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Year:  1987        PMID: 3607728     DOI: 10.1002/1097-0142(19870901)60:5<1117::aid-cncr2820600533>3.0.co;2-h

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  7 in total

Review 1.  Modelling methods for pharmacoeconomics and health technology assessment: an overview and guide.

Authors:  James E Stahl
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

Review 2.  Report of a National Workshop on Screening for Cancer of the Cervix.

Authors:  A B Miller; G Anderson; J Brisson; J Laidlaw; N Le Pitre; P Malcolmson; P Mirwaldt; G Stuart; W Sullivan
Journal:  CMAJ       Date:  1991-11-15       Impact factor: 8.262

Review 3.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

4.  Assessing the effectiveness of health interventions for cost-effectiveness analysis. Panel on Cost-Effectiveness in Health and Medicine.

Authors:  J S Mandelblatt; D G Fryback; M C Weinstein; L B Russell; M R Gold
Journal:  J Gen Intern Med       Date:  1997-09       Impact factor: 5.128

5.  Building better models: if we build them, will policy makers use them? Toward integrating modeling into health care decisions.

Authors:  Jeanne Mandelblatt; Clyde Schechter; David Levy; Ann Zauber; Yaojen Chang; Ruth Etzioni
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

6.  Effects of screening on cervical cancer incidence and mortality in New South Wales implied by influences of period of diagnosis and birth cohort.

Authors:  R J Taylor; S L Morrell; H A Mamoon; G V Wain
Journal:  J Epidemiol Community Health       Date:  2001-11       Impact factor: 3.710

7.  Low risk of cervical cancer during a long period after negative screening in the Netherlands.

Authors:  M E van den Akker-van Marle; M van Ballegooijen; J D F Habbema
Journal:  Br J Cancer       Date:  2003-04-07       Impact factor: 7.640

  7 in total

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