Literature DB >> 2803910

Natural history of cervical neoplasia: consistent results obtained by an identification technique.

L Gustafsson1, H O Adami.   

Abstract

Swedish population-based incidence and mortality rates for cancer of the uterine cervix, both in situ and invasive, during the period 1958 to 1981 were determined by means of a dynamic model. This new approach describes without any preconceptions the development of the disease as a sequential process over the stages cancer in situ, invasive cancer before and after diagnosis, and death. The strong disturbance of the steady-state situation that occurred after the introduction of cytological mass screening in the early 1960s permitted the use of a computerized identification technique. The whole natural history of cervical cancer could thus be identified and described consistently, with the mutual compatibility between statistical data, structure, parameters, and the states and flows between the states. The estimated age-specific incidence of cancer in situ increased rapidly to a maximum of 650 per 10(5) woman-years at the age of 30 years, after which it declined, and that of invasive cancer to a maximum of 55 per 10(5) at the age of 43. The natural history of cervical neoplasia did not differ appreciably between eight successive 5-year birth cohorts. The proportion of cases of new cancer in situ that progressed to invasive cancer was 12.2%, with a mean duration of the in situ stage in these cases of 13.3 years. The preclinical phase of the invasive stage (without screening) lasted on average about 4 years.

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Year:  1989        PMID: 2803910      PMCID: PMC2247359          DOI: 10.1038/bjc.1989.236

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  26 in total

1.  Spontaneous course of cervical precancerous conditions.

Authors:  O PETERSEN
Journal:  Am J Obstet Gynecol       Date:  1956-11       Impact factor: 8.661

2.  The relationship between carcinoma in situ and invasive cervical carcinoma; a consideration of the contributions to the problem to be made from general population data.

Authors:  J E DUNN
Journal:  Cancer       Date:  1953-09       Impact factor: 6.860

3.  An evaluation of screening policies for cervical cancer in England and Wales using a computer simulation model.

Authors:  D M Parkin; S M Moss
Journal:  J Epidemiol Community Health       Date:  1986-06       Impact factor: 3.710

4.  Cervical cancer detection in British Columbia. A progress report.

Authors:  H K Fidler; D A Boyes; A J Worth
Journal:  J Obstet Gynaecol Br Commonw       Date:  1968-04

5.  Trends in mortality from cervical cancer in the Nordic countries: association with organised screening programmes.

Authors:  E Lăără; N E Day; M Hakama
Journal:  Lancet       Date:  1987-05-30       Impact factor: 79.321

6.  Incidence and prevalence of preclinical carcinoma of cervix in a British population.

Authors:  D M Parkin; P Hodgson; A D Clayden
Journal:  Br J Obstet Gynaecol       Date:  1982-07

7.  Screening for cervical intraepithelial neoplasia in Dundee and Angus 1962-81 and its relation with invasive cervical cancer.

Authors:  H L Duguid; I D Duncan; J Currie
Journal:  Lancet       Date:  1985-11-09       Impact factor: 79.321

8.  Costs of detecting and treating cancer of the uterine cervix in North-East Scotland in 1971.

Authors:  J B Thorn; E M Russell; J E Macgregor; K Swanson
Journal:  Lancet       Date:  1975-03-22       Impact factor: 79.321

9.  A computer simulation model for the practical planning of cervical cancer screening programmes.

Authors:  D M Parkin
Journal:  Br J Cancer       Date:  1985-04       Impact factor: 7.640

10.  Evaluation of screening programmes for gynaecological cancer.

Authors:  M Hakama; J Chamberlain; N E Day; A B Miller; P C Prorok
Journal:  Br J Cancer       Date:  1985-10       Impact factor: 7.640

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  29 in total

1.  Withdrawing low risk women from cervical screening programmes. Conclusions cannot yet be drawn.

Authors:  M E van den Akker-van Marle; M van Ballegooijen; R Boer; G J van Oortmarssen; J D Habbema
Journal:  BMJ       Date:  1999-07-03

Review 2.  Molecular interactions of 'high risk' human papillomaviruses E6 and E7 oncoproteins: implications for tumour progression.

Authors:  Oishee Chakrabarti; Sudhir Krishna
Journal:  J Biosci       Date:  2003-04       Impact factor: 1.826

3.  Predicting mortality from cervical cancer after negative smear test results.

Authors:  G J van Oortmarssen; J D Habbema; M van Ballegooijen
Journal:  BMJ       Date:  1992-08-22

4.  The Dutch CISOE-A framework for cytology reporting increases efficacy of screening upon standardisation since 1996.

Authors:  S Bulk; F J Van Kemenade; L Rozendaal; C J L M Meijer
Journal:  J Clin Pathol       Date:  2004-04       Impact factor: 3.411

5.  Evolution of in vitro transformation and tumorigenesis of HPV16 and HPV18 immortalized primary cervical epithelial cells.

Authors:  G Pecoraro; M Lee; D Morgan; V Defendi
Journal:  Am J Pathol       Date:  1991-01       Impact factor: 4.307

Review 6.  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

7.  Rate of opportunistic pap smear screening and patterns of epithelial cell abnormalities in pap smears in ajman, United arab emirates.

Authors:  Ghaith J Al Eyd; Rizwana B Shaik
Journal:  Sultan Qaboos Univ Med J       Date:  2012-11-20

Review 8.  Human papillomavirus infection and the multistage carcinogenesis of cervical cancer.

Authors:  Mark Schiffman; Nicolas Wentzensen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-04       Impact factor: 4.254

9.  Optimization of cervical cancer screening.

Authors:  L Gustafsson; H O Adami
Journal:  Cancer Causes Control       Date:  1992-03       Impact factor: 2.506

10.  Detection of genital human papillomavirus by single-tube nested PCR and type-specific oligonucleotide hybridization.

Authors:  N Ylitalo; T Bergström; U Gyllensten
Journal:  J Clin Microbiol       Date:  1995-07       Impact factor: 5.948

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