Literature DB >> 8624273

Will the Scottish Cancer Target for the year 2000 be met? The use of cancer registration and death records to predict future cancer incidence and mortality in Scotland.

L Sharp1, R J Black, C S Muir, I Gemmell, A R Finlayson, E F Harkness.   

Abstract

Cancer mortality data reflect disease incidence and the effectiveness of treatment. Incidence data, however, reflect the burden of disease in the population and indicate the need for prevention measures, diagnostic services and cancer treatment facilities. Monitoring of targets mandates that both be considered. The Scottish Cancer Target, established in 1991, proposed that a reduction of 15% in mortality from cancer in the under-65s should be achieved between 1986 and 2000. Each year in Scotland approximately 8300 persons under 65 are diagnosed with cancer and 4500 die from the disease. The most common malignancies, in terms of both incident cases and deaths, in the under-65s, are lung and large bowel cancer in males, and breast, large bowel and lung cancer in females. A decrease of 6% in the number of cancer cases diagnosed in males under 65 is predicted between 1986 and 2000, whereas the number of cases in females in the year 2000 is expected to remain at the 1986 level. In contrast, substantial reductions in mortality are expected for both sexes: 17% and 25% in males and females respectively. Demographic changes will influence the numbers of cancer cases and deaths in the Scottish population in the year 2000. However, long-term trends in the major risk factors, such as smoking, are likely to be the most important determinants of the future cancer burden.

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Year:  1996        PMID: 8624273      PMCID: PMC2074396          DOI: 10.1038/bjc.1996.214

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


  14 in total

1.  Medical audit, cancer registration, and survival in ovarian cancer.

Authors:  C R Gillis; D J Hole; R M Still; J Davis; S B Kaye
Journal:  Lancet       Date:  1991-03-09       Impact factor: 79.321

2.  Improving prognosis of Hodgkin's disease in Scotland.

Authors:  P Boyle; M Soukop; C Scully; A G Robertson; H J Burns; C R Gillis; S B Kaye
Journal:  Eur J Cancer Clin Oncol       Date:  1988-02

3.  Models for temporal variation in cancer rates. I: Age-period and age-cohort models.

Authors:  D Clayton; E Schifflers
Journal:  Stat Med       Date:  1987-06       Impact factor: 2.373

4.  Age, period and cohort models: the use of individual records.

Authors:  C Robertson; P Boyle
Journal:  Stat Med       Date:  1986 Sep-Oct       Impact factor: 2.373

5.  Time trends in cancer mortality in England and Wales.

Authors:  D J Barker
Journal:  Br Med J (Clin Res Ed)       Date:  1984-05-05

6.  Impact of variability among surgeons on postoperative morbidity and mortality and ultimate survival.

Authors:  C S McArdle; D Hole
Journal:  BMJ       Date:  1991-06-22

7.  Geographical variation in cancer patient survival in Finland: chance, confounding, or effect of treatment?

Authors:  S Karjalainen
Journal:  J Epidemiol Community Health       Date:  1990-09       Impact factor: 3.710

8.  Changes in testicular cancer in Scotland.

Authors:  P Boyle; S B Kaye; A G Robertson
Journal:  Eur J Cancer Clin Oncol       Date:  1987-06

9.  Long term survival and cure after childhood cancer.

Authors:  M M Hawkins
Journal:  Arch Dis Child       Date:  1989-06       Impact factor: 3.791

10.  Management of ovarian cancer: referral to a multidisciplinary team matters.

Authors:  E J Junor; D J Hole; C R Gillis
Journal:  Br J Cancer       Date:  1994-08       Impact factor: 7.640

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  2 in total

Review 1.  Gastroenterology services in the UK. The burden of disease, and the organisation and delivery of services for gastrointestinal and liver disorders: a review of the evidence.

Authors:  J G Williams; S E Roberts; M F Ali; W Y Cheung; D R Cohen; G Demery; A Edwards; M Greer; M D Hellier; H A Hutchings; B Ip; M F Longo; I T Russell; H A Snooks; J C Williams
Journal:  Gut       Date:  2007-02       Impact factor: 23.059

2.  Empirical evaluation of prediction intervals for cancer incidence.

Authors:  Bjørn Møller; Harald Weedon-Fekjaer; Tor Haldorsen
Journal:  BMC Med Res Methodol       Date:  2005-06-10       Impact factor: 4.615

  2 in total

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