Literature DB >> 1573354

Monitoring and projecting cancer incidence in Saarland, Germany, based on age-cohort analyses.

H Brenner1, H Ziegler.   

Abstract

STUDY
OBJECTIVE: The aims were (1) to monitor and compare incidence rates of cancer from successive birth cohorts in Saarland over the period from 1968 to 1987; (2) to project cancer incidence in Saarland in 1988-2002 in order to provide guidelines for health policy planning.
DESIGN: This was an ecological study of overlapping birth cohorts of women and men.
SETTING: The study was population based involving the whole state of Saarland. PATIENTS: 80,028 cases of malignant neoplasms (other than non-melanoma skin cancer) diagnosed from 1968 to 1987 and reported to the cancer registry of Saarland were included.
MEASUREMENTS AND MAIN RESULTS: Age specific, sex specific, and period specific cancer incidence rates were analysed and extrapolated by multiplicative age-cohort models. Due to a steady rise in birth cohort specific cancer incidence rates in males, a substantial rise in incidence of total cancer is projected, while a moderate decline is expected for females. Analogous analyses are presented for the most common single forms of cancer in women and men. Alternative strategies of analysis, such as age-period-cohort modelling, are discussed.
CONCLUSIONS: The age-cohort model is well suited for monitoring incidence of most forms of cancer. The projections provide quantitative guidelines for planning of health care resources and underline and quantify the challenge for primary and secondary cancer prevention in Saarland.

Entities:  

Mesh:

Year:  1992        PMID: 1573354      PMCID: PMC1059487          DOI: 10.1136/jech.46.1.15

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  15 in total

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Journal:  Br J Prev Soc Med       Date:  1956-10

4.  [Model calculations of the effect of demographic changes on the incidence of cancer in Saarland].

Authors:  H Brenner; H Ziegler
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5.  Using age, period and cohort models to estimate future mortality rates.

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6.  Time trends in cancer mortality in the Federal Republic of Germany: progress against cancer?

Authors:  N Becker; E M Smith; J Wahrendorf
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7.  Age, period, and cohort models. Non-overlapping cohorts don't resolve the identification problem.

Authors:  C Osmond; M J Gardner
Journal:  Am J Epidemiol       Date:  1989-01       Impact factor: 4.897

8.  Statistical age-period-cohort analysis: a review and critique.

Authors:  L L Kupper; J M Janis; A Karmous; B G Greenberg
Journal:  J Chronic Dis       Date:  1985

9.  Time period compared to birth cohort in Connecticut incidence rates for twenty-five malignant neoplasms.

Authors:  G C Roush; M J Schymura; T R Holford; C White; J T Flannery
Journal:  J Natl Cancer Inst       Date:  1985-04       Impact factor: 13.506

10.  Do the predictions for cancer incidence come true? Experience from Finland.

Authors:  T Hakulinen; L Teppo; E Saxén
Journal:  Cancer       Date:  1986-06-15       Impact factor: 6.860

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  3 in total

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Authors:  W C Lee; R L Hsieh
Journal:  J Epidemiol Community Health       Date:  1996-04       Impact factor: 3.710

2.  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

3.  Esophageal cancer in Canada: trends according to morphology and anatomical location.

Authors:  Michael C Otterstatter; James D Brierley; Prithwish De; Larry F Ellison; Maureen Macintyre; Loraine D Marrett; Robert Semenciw; Hannah K Weir
Journal:  Can J Gastroenterol       Date:  2012-10       Impact factor: 3.522

  3 in total

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