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Review of Survival Curves for Colorectal Cancer

  • Original Contributions
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Diseases of the Colon & Rectum

PURPOSE

Actuarial and Product Limited (i.e., Kaplan-Meier) estimates of survival are commonly used in the literature to describe outcomes in patients treated for cancer. Terms such as cancer-specific and cancer-free survival are frequently quoted, although often without clear definitions. This study was designed to compare survival estimates using the Kaplan-Meier method on the same population of patients but using different definitions of what constitutes an event. This was to highlight some of the variation that can occur when different techniques are used to perform these calculations.

METHODS

Data were obtained from a prospective database that had recorded all patients presenting with colorectal cancer from 1996 to 2002. Using this information, we calculated the 1) overall (all-cause mortality), 2) cancer-specific, 3) cancer-free, 4) recurrence-free, and 5) relative survival (and 95 percent confidence intervals) at five years postpresentation.

RESULTS

The study included 497 patients with a mean age of 68 years, and a male-to-female ratio of 1.3:1. They were followed for a mean of 2.2 years (standard deviation, ±1.1), with 50 patients (10.1 percent) followed for more than five years. The various survivals at five years were: 1) overall survival, 55.6 percent (95 percent confidence interval, 49.1–62.1 percent), 2) cancer-specific survival, 67 percent (95 percent confidence interval, 60.9–73.1 percent), 3) cancer-free survival, 49.9 percent (95 percent confidence interval, 43.6–56.2 percent), 4) recurrence-free survival, 43.5 percent (95 percent confidence interval, 37.2–49.8 percent), and 5) relative survival, 73.4 percent (95 percent confidence interval, 65.4–81.4 percent).

CONCLUSIONS

The five-year survival calculations for this group of patients with colorectal cancer varied by as much as 30 percent depending on how the data was censored. This highlights that there needs to be a clear and accountable definition on how survival curves are calculated and presented in the literature to allow for meaningful interpretation and comparisons.

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REFERENCES

  1. SJ Pocock TC Clayton DG Altman (2002) ArticleTitleSurvival plots of time-to-event outcomes in clinical trials: good practice and pitfalls Lancet 359 1686–9 Occurrence Handle10.1016/S0140-6736(02)08594-X Occurrence Handle12020548

    Article  PubMed  Google Scholar 

  2. R Peto MC Pike P Armitage et al. (1977) ArticleTitleDesign and analysis of randomised clinical trials requiring prolonged observation of each patient Br J Cancer 35 1–39 Occurrence Handle1:STN:280:CSiD1cjlsFc%3D Occurrence Handle831755

    CAS  PubMed  Google Scholar 

  3. Armitage P, Berry G. Statistical methods in medical research. 3rd ed. London: Blackwell Science, 1994:469–92.

  4. F Ederer LM Axtell SJ Cutler (1961) ArticleTitleThe relative survival rate: a statistical methodology Natl Cancer Inst Monogr 6 101–21 Occurrence Handle1:STN:280:CC2D3s%2FkvFA%3D Occurrence Handle13889176

    CAS  PubMed  Google Scholar 

  5. T Hakulinen (1982) ArticleTitleCancer survival corrected for heterogeneity in patient withdrawal Biometrics 38 933–42 Occurrence Handle1:STN:280:BiyC2sbhsFw%3D Occurrence Handle7168796

    CAS  PubMed  Google Scholar 

  6. J Esteve E Benhamou M Croasdale L Raymond (1990) ArticleTitleRelative survival and the estimation of net survival: elements for further discussion Stat Med 9 529–38 Occurrence Handle1:STN:280:By%2BB2szgtlc%3D Occurrence Handle2349404

    CAS  PubMed  Google Scholar 

  7. Therneau T, Sicks J, Bergstralh E, Offord J. Expected survival based on hazard rates. Technical Report #52. Rochester, Minnesota: Mayo Clinic, 1994.

  8. T Hakulinen L Tenkanen KH Abeywickrama L Paivarinta (1987) ArticleTitleTesting equality of relative survival patterns based on aggregated data Biometrics 43 313–25 Occurrence Handle1:STN:280:BiiB2s7ptFI%3D Occurrence Handle3607203

    CAS  PubMed  Google Scholar 

  9. C Platell (1997) ArticleTitleA community-based hospital experience with colorectal cancer ANZ J Surg 67 420–3 Occurrence Handle1:STN:280:ByiA2sbotVM%3D

    CAS  Google Scholar 

Download references

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Correspondence to Cameron F. E. Platell M.B., B.S., Ph.D., F.R.A.C.S..

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Platell, C., Semmens, J. Review of Survival Curves for Colorectal Cancer. Dis Colon Rectum 47, 2070–2075 (2004). https://doi.org/10.1007/s10350-004-0743-4

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  • DOI: https://doi.org/10.1007/s10350-004-0743-4

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