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What factors affect the odds of NSW cancer patients presenting with localised as opposed to more advanced cancer?

Abstract

Objective

The purpose was to examine the odds of presenting with localised as opposed to more advanced cancer by place of residence to gain evidence for planning early detection initiatives.

Methods

Design, settings and participant’s cases of invasive cancer reported to the NSW population-based Cancer Registry for the 1980–2008 diagnostic periods. Main outcome measure(s) between 1980 and 2008, 293,848 of reported cases (40.2%), had localised cancer at diagnosis. Logistic regression analysis was undertaken to determine the odds of localised cancer by place of residence for all cancers sites combined while adjusting for age, sex, period of diagnosis, socioeconomic status, migrant status and prognosis (as inferred from cancer type).

Results

Multivariate logistic regression analysis indicated that patients from rural areas were less likely than urban patients to present with localised cancer after adjusting for other socio-demographic factors and prognosis by cancer type (regardless of how rurality was classified). The difference ranged from 4% for remote (OR = 0.96, 95% CI 0.95–0.98) to 14% (OR = 0.86, 95% CI 0.79–0.84) for very remote compared with highly accessible areas. It is estimated that a maximum of 4,205 fewer cases of localised cancer occurred in patients from rural areas over the study period than expected from the stage distribution for urban patients. Residents aged between 30 and 74 years of age at diagnosis and those living in high socioeconomic status areas were more likely to present with localised cancer. By contrast, people aged 75 years or older at diagnosis, migrants from non-English-speaking countries and people diagnosed in more recent diagnostic periods were less likely to present with localised cancer.

Conclusions

Targeted strategies that specifically encourage earlier diagnosis and treatment that may subsequently influence better survival are required to increase the proportion of NSW residents presenting with localised cancer at diagnosis.

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References

  1. Tracey E et al. (2007) Survival from cancer in NSW: 1980–2003. Sydney: Cancer Institute NSW, August 2007., Published by the Cancer Institute NSW, October 2007, New South Wales Department of Health, October 2007

  2. Kogevinas M et al (1991) Socioeconomic differences in cancer survival. Br Med J 45(3):216

    CAS  Google Scholar 

  3. Smith D, Taylor R, Coates M (1996) Socioeconomic differentials in cancer incidence and mortality in urban New South Wales, 1987–1991. Aust N Z J Public Health 20(2):129–137

    PubMed  Article  CAS  Google Scholar 

  4. Supramaniam R (2006) Cancer incidence in New South Wales migrants, 1991 to 2001: New South Wales Cancer Council

  5. Yu XQ et al (2005) A population-based study from New South Wales, Australia 1996–2001: area variation in survival from colorectal cancer. Eur J Cancer 41(17):2715–2721

    PubMed  Article  Google Scholar 

  6. Yu XQ et al (2004) Estimating regional variation in cancer survival: a tool for improving cancer care. Cancer Causes Control 15(6):611–618

    PubMed  Article  Google Scholar 

  7. Jong KE et al (2004) Remoteness of residence and survival from cancer in New South Wales. Med J Aust 180(12):618–622

    PubMed  Google Scholar 

  8. Tracey E et al. (2010) Cancer in New South Wales: incidence and mortality, 2008 (Sydney: Cancer Institute NSW, June 2010)

  9. Australian Bureau of Statistics (1996) Census of population and housing. Socioeconomic indexes for areas Canberra:Australian Bureau of statistics, 1998

  10. Population Health Division. The health of the people of New South Wales—report of the chief health officer. Sydney: NSW department of health. Available at:/publichealth/chorep/. Accessed November 2010

  11. Department of Health and Ageing Adelaide (1999) Measuring remoteness: accessibility/remoteness index of australia (ARIA) occasional PapersNew Series no. 6.Canberra: Commonwealth of Australia

  12. SAS, SAS/STAT software, Version 9.2 (2009) Cary, NC: SAS Institute Inc

  13. Armitage P, Berry G (1987) Statistical methods in medical research, 2nd edn. Blackwell Scientific Publications Oxford, NY

    Google Scholar 

  14. Rockhill B, Newman B, Weinberg C (1998) Use and misuse of population attributable fractions. Am J Public Health 88(1):15

    PubMed  Article  CAS  Google Scholar 

  15. Chong A, Roder D (2010) Exploring differences in survival from cancer among indigenous and non-indigenous Australians: implications for health service delivery and research. Asian Pac J Cancer Prev 11:953–961

    PubMed  Google Scholar 

  16. Vinod SK et al (2003) Lung cancer patterns of care in south western Sydney, Australia. Thorax 58(8):690–694

    PubMed  Article  CAS  Google Scholar 

  17. Vinod SK et al (2010) Underutilization of radiotherapy for lung cancer in New South Wales, Australia. Cancer 116(3):686–694

    PubMed  Article  Google Scholar 

  18. Richardson GE, Thursfield VJ, Giles GG (2000) Reported management of lung cancer in Victoria in 1993: comparison with best practice. Anti-Cancer Council of Victoria Lung Cancer Study Group. Med J Aust 172(7):321–324

    PubMed  CAS  Google Scholar 

  19. Macleod U et al (2009) Risk factors for delayed presentation and referral of symptomatic cancer: evidence for common cancers. Br J Cancer 101(Suppl 2):S92–S101

    PubMed  Article  Google Scholar 

  20. Barraclough H et al (2008) Degree-of-spread artefact in the New South Wales central cancer registry. Aust N Z J Public Health 32(5):414–416

    PubMed  Article  Google Scholar 

  21. Keegan TH et al (2010) Breast cancer incidence patterns among California Hispanic women: differences by nativity and residence in an enclave. Cancer Epidemiol Biomarkers Prev 19(5):1208–1218

    PubMed  Article  Google Scholar 

  22. Lannin DR et al (1998) Influence of socioeconomic and cultural factors on racial differences in late-stage presentation of breast cancer. JAMA 279(22):1801–1807

    PubMed  Article  CAS  Google Scholar 

  23. Kogevinas M, Porta M (1997) Socioeconomic differences in cancer survival: a review of the evidence. IARC Sci Publ 138:177–206

    PubMed  Google Scholar 

  24. Kogevinas M et al (1991) Socioeconomic differences in cancer survival. J Epidemiol Community Health 45(3):216–219

    PubMed  Article  CAS  Google Scholar 

  25. Vagero D, Persson G (1987) Cancer survival and social class in Sweden. J Epidemiol Community Health 41(3):204–209

    PubMed  Article  CAS  Google Scholar 

  26. Norredam M et al (1998) Effect of social class on tumour size at diagnosis and surgical treatment in Danish women with breast cancer. Soc Sci Med 47(11):1659–1663

    PubMed  Article  CAS  Google Scholar 

  27. Clegg LX et al (2009) Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National Longitudinal mortality study. Cancer Causes Control 20(4):417–435

    PubMed  Article  Google Scholar 

  28. Smith KB, Humphreys JS, Wilson MGA (2008) Addressing the health disadvantage of rural populations: how does epidemiological evidence inform rural health policies and research? Aust J Rural Health 16(2):56–66

    PubMed  Article  Google Scholar 

  29. Wilkinson D, Cameron K (2004) Cancer and cancer risk in South Australia: what evidence for a rural–urban health differential? Aust J Rural Health 12(2):61–66

    PubMed  Article  Google Scholar 

  30. Dempsey P et al (2003) Self reported patterns of health services utilisation: an urban-rural comparison in South Australia. Aust J Rural Health 11(2):81–88

    PubMed  Article  Google Scholar 

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Correspondence to E. A. Tracey.

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Tracey, E.A., Roder, D.M. & Currow, D.C. What factors affect the odds of NSW cancer patients presenting with localised as opposed to more advanced cancer?. Cancer Causes Control 23, 255–262 (2012). https://doi.org/10.1007/s10552-011-9873-x

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  • DOI: https://doi.org/10.1007/s10552-011-9873-x

Keywords

  • Localised stage and diagnosis
  • Sociodemographic determinents of health
  • Socioeconomic status
  • Migrant status
  • Logistic regression
  • New South Wales, Australia epidemiology
  • Registries
  • Cancer stage
  • Prognosis