Skip to main content
Log in

Use of the Spatial Scan Statistic to Identify Geographic Variations in Late Stage Colorectal Cancer in California (United States)

  • Original Paper
  • Published:
Cancer Causes & Control Aims and scope Submit manuscript

Abstract

Objectives

To identify geographic variations in colorectal cancer by stage at diagnosis in California using a descriptive analysis coupled with a spatial analysis and to discuss methodological considerations concerning the spatial statistical method.

Methods

We analyzed 59,076 colorectal cancer cases diagnosed in California from 1996 to 2000 by logistic regression and by a spatial scan statistic to identify areas with a higher and lower relative risk of late-stage colorectal cancer.

Results

In California, 57% of overall cases of colorectal cancer were diagnosed at a late stage. Californians diagnosed with late-stage colorectal cancer were more likely to be Hispanic and living in areas of lower socioeconomic status. The spatial scan identified two areas where the observed number of late-stage cancer was different than the number expected from the distribution in the rest of the state.

Conclusions

Spatial scan analyses can complement descriptive statistics, but results must be interpreted with consideration of factors that affect the ability to detect meaningful differences such as the number of events observed, accuracy in geocoding rural versus urban addresses, and the difficulty of adjusting for covariates.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Pickle LW (2002) Spatial analysis of disease. Cancer Treat Res 113:113–150

    PubMed  Google Scholar 

  2. Waller LA, Gotway CA (2004) Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley & Sons, pp 1–4

    Google Scholar 

  3. Kulldorff M, Feuer EJ, Miller BA, Freedman LS (1997) Breast cancer clusters in the northeast United States: a geographic analysis. Am J Epidemiol 146:161–170

    CAS  PubMed  Google Scholar 

  4. Rushton G, Peleg I, Banerjee A, Smith G, West M (2004) Analyzing geographic patterns of disease incidence: rates of late-stage colorectal cancer in Iowa. J Med Syst 28:223–236

    Article  PubMed  Google Scholar 

  5. Turnbull BW, Iwano EJ, Burnett WS, Howe HL, Clark LC (1990) Monitoring for clusters of disease: application to leukemia incidence in upstate New York. Am J Epidemiol 132(1 Suppl):S136–S143

    CAS  PubMed  Google Scholar 

  6. Gregorio DI, Kulldorff M, Barry L, Samociuk H (2002) Geographic differences in invasive and in situ breast cancer incidence according to precise geographic coordinates, Connecticut, 1991–95. Int J Cancer 100:194–198

    Article  CAS  PubMed  Google Scholar 

  7. Gregorio DI, Kulldorff M, Sheehan TJ, Samociuk H (2004) Geographic distribution of prostate cancer incidence in the era of PSA testing, Connecticut, 1984 to 1998. Urology 63:78–82

    Article  PubMed  Google Scholar 

  8. Roche LM, Skinner R, Weinstein RB (2002) Use of a geographic information system to identify and characterize areas with high proportions of distant stage breast cancer. J Public Health Manag Pract 8:26–32

    PubMed  Google Scholar 

  9. Jemal A, Kulldorff M, Devesa SS, Hayes RB, Fraumeni JF, Jr (2002) A geographic analysis of prostate cancer mortality in the United States, 1970–89. Int J Cancer 101:168–174

    Article  CAS  PubMed  Google Scholar 

  10. Gregorio DI, Samociuk H (2003) Breast cancer surveillance using gridded population units, Connecticut, 1992 to 1995. Ann Epidemiol 13:42–49

    Article  PubMed  Google Scholar 

  11. Thomas A, Carlin BP (2003) Late detection of breast and colorectal cancer in Minnesota counties: an application of spatial smoothing and clustering. Stat Med 22:113–127

    PubMed  Google Scholar 

  12. Cancer Surveillance Improvement Initiative [Internet]. Albany (NY): New York State Department of Health; c2001 [cited 2005 July 27]. Available from: http://www.health.state.ny.us/nysdoh/cancer/csii/nyscsii.htm

  13. Seeff LC, Nadel M, Blackman C, Pollack LA (2003) Colorectal cancer test use among persons aged greater and equal to 50 years – United States, 2001. MMWR 52:193–195

    Google Scholar 

  14. Berg AO (2002) Screening for colorectal cancer: recommendations and rationale. [Review] [31 refs]. Am J Nurs 102(9):107–117

    PubMed  Google Scholar 

  15. Pignone M, Rich M, Teutsch SM, Berg AO, Lohr KN (2002) Screening for colorectal cancer in adults at average risk: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med 137:132–141

    PubMed  Google Scholar 

  16. U.S. Preventive Services Task Force (1996) Guide to clinical preventive services, 2nd edn. International Medical Publishing, Alexandria, VA

    Google Scholar 

  17. Reis LAG, Eisner MP, Kosary CL, et al. (2003) SEER cancer statistics review, 1973–1999, National Cancer Institute, Bethesda, MD

    Google Scholar 

  18. Kulldorff M, Information Management Services I (2003) SaTScan v.4.0: software for the spatial and space-time scan statistics. National Cancer Institute, Bethesda, MD

  19. Anonymous (2001) SEER summary staging manual–2000: codes and coding instructions. National Cancer Institute, Bethesda, MD (NIH Pub. No. 01-4969)

    Google Scholar 

  20. Yost K, Perkins C, Cohen R, Morris C, Wright W (2001) Sociodemographic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control 12:703–711

    Article  CAS  PubMed  Google Scholar 

  21. U.S. Cancer Statistics Working Group (2003) United States cancer statistics: 2000 Incidence. Department of Health and Human Services: Centers for Disease Control and Prevention and National Cancer Institute, Atlanta, GA

  22. 2002 Certified Registries of 2000 Incidence Data [Internet]. Springfield (IL): North American Association of Central Cancer Registries; c2004 [cited 2005 July 27]. Available from: http://www.naaccr.org/index.asp?Col_SectionKey=12&Col_ContentID=54

  23. Cambell RJ, Ferrante JM, Gonzalez EC, Roetzhein RG, Naazneen P, Herold A (2001) Predictors of advanced stage colorectal cancer: results of a population-based study. Cancer Detect Prev 25:430–438

    Google Scholar 

  24. Koka VK, Patti A, Fraiman GN, Hanekom D, Hanley JF (2002) An epidemiological study evaluating the relationship of distance from a tertiary care cancer center to early detection of colorectal carcinoma. Anticancer Res 22:2481–2483

    PubMed  Google Scholar 

  25. Clarke CA, Glaser SL, West DW, et al. (2002) Breast cancer incidence and mortality trends in an affluent population: Marin County, California, USA, 1990–1999. Breast Cancer Res 4(6):R13

    Article  PubMed  Google Scholar 

  26. Rothman KJ (1990) A sobering start for the cluster busters’ conference. Am J Epi. 132:S6–S13

    CAS  Google Scholar 

  27. Mandelblatt J, Andrews H, Kao R, Wallace R, Kerner J (1996) The late-stage diagnosis of colorectal cancer: demographic and socioeconomic factors. Am J Public Health 86:1794–1797

    CAS  PubMed  Google Scholar 

  28. Roetzheim RG, Pal N, Tennant C, et al. (1999) Effects of health insurance and race on early detection of cancer. J Natl Cancer Inst 91:1409–1415

    Article  CAS  PubMed  Google Scholar 

  29. Zapka JG, Puleo E, Vickers-Lahti M, Luckmann R (2002) Healthcare system factors and colorectal cancer screening. Am J Prev Med 23:28–35

    Article  PubMed  Google Scholar 

  30. Corbie-Smith G, Flagg EW, Doyle JP, O’Brien MA (2002) Influence of usual source of care on differences by race/ethnicity in receipt of preventive services. J Gen Intern Med 17:458–464

    Article  PubMed  Google Scholar 

  31. Gordon NP, Rundall TG, Parker L (1998) Type of health care coverage and the likelihood of being screened for cancer. Med Care 36:636–645

    Article  CAS  PubMed  Google Scholar 

  32. California Health Interview Survey. CHIS 2001 Adult Public Use File, Release 3 [computer file]. UCLA Center for Health Policy Research, April 2004, Los Angeles, CA

  33. UCLA Center for Health Policy Research (2003) The CHIS 2001 sample: response rate and representativeness. UCLA Center for Health Policy Research, Los Angeles, CA, pp 1–6

    Google Scholar 

  34. Cress RD (1998) Colorectal Cancer in Sacramento County. 10th Annual California Association of Regional Cancer Registries Conference, San Diego

  35. McElroy JA, Remington PL, Trentham-Dietz A, Robert SA, Newcomb PA (2003) Geocoding addresses from a large population-based study: lessons learned. Epidemiology 14(4):399–407

    PubMed  Google Scholar 

  36. Skelly C, Black W, Hearnden M, Eyles R, Weinstein P (2002) Disease surveillance in rural communities is compromised by address geocoding uncertainty: a case study of campylobacteriosis. Aust J Rural Health 10(2):87–93

    Article  PubMed  Google Scholar 

  37. Hurley SE, Saunders TM, Nivas R, Hertz A, Reynolds P (2003) Post office box addresses: a challenge for geographic information system-based studies. Epidemiology 14(4):386–391

    PubMed  Google Scholar 

  38. Rothman KJ (2002) Random error and the role of statistics Epidemiology: an introduction. Oxford University Press, Oxford, pp113–129

    Google Scholar 

  39. Kulldorff M, Tango T, Park P (2003) Power comparisons for disease clustering tests. Comput Stat Data Anal 42:665–684

    Article  Google Scholar 

  40. Song C, Kulldorff M (2003) Power evaluation of disease clustering tests. Int J Health Geogr 2:9

    Article  PubMed  Google Scholar 

  41. Gregorio DI, Kulldorff M, Barry L, Samocuik H, Zarfos K (2001) Geographical differences in primary therapy for early-stage breast cancer. Ann Surg Oncol 8:844–849

    CAS  PubMed  Google Scholar 

  42. Kulldorff M, Information Management Systems Inc. (2005) SaTScan v 5.1: software for multivariate scan statistics; Bernoulli model covariate adjustment

  43. Cress RD, Morris CR, Wolfe BM (2000) Cancer of the colon and rectum in California: trends in incidence by race/ethnicity, stage, and subsite. Prev Med 31:447–453

    Article  CAS  PubMed  Google Scholar 

  44. Chao A, Gilliland FD, Hunt WC, Bulterys M, Becker TM, Key CR (1998) Increasing incidence of colon and rectal cancer among Hispanics and American Indians in New Mexico (United States), 1969–94. [comment]. Cancer Causes Control 9:137–144

    Article  CAS  PubMed  Google Scholar 

  45. Kulldorff M, Nagarwalla N (1995) Spatial disease clusters: detection and inference. Stat Med 14(8):799–810

    CAS  PubMed  Google Scholar 

  46. Newell JN, Besag JE (1996) Methods for investigating localized clustering of disease. The detection of small-area database anomalies. IARC Sci Publ 135:87–100

    PubMed  Google Scholar 

  47. Wallenstein S (1980) A test for detection of clustering over time. Am J Epidemiol 111(3):367–372

    CAS  PubMed  Google Scholar 

  48. Bonetti M, Pagano M (2005) The interpoint distance distribution as a descriptor of point patterns, with an application to spatial disease clustering. Stat Med 24(5):753–773

    Article  PubMed  Google Scholar 

  49. Tango T (2000) A test for spatial disease clustering adjusted for multiple testing. Stat Med 19:1994–204

    Google Scholar 

Download references

Acknowledgements

We acknowledge the contribution of Dr. William E. Wright, Chief of the Cancer Surveillance Section of the California Department of Health Service for his support and input into this project, Mark Allen for his assistance preparing the California Cancer Registry data, and Robert Schwartz (NCCDPHP, CDC) for his expertise in optimizing our information system capacity in order to undertake the analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lori A. Pollack.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pollack, L.A., Gotway, C.A., Bates, J.H. et al. Use of the Spatial Scan Statistic to Identify Geographic Variations in Late Stage Colorectal Cancer in California (United States). Cancer Causes Control 17, 449–457 (2006). https://doi.org/10.1007/s10552-005-0505-1

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10552-005-0505-1

Keywords

Navigation