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A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark.

Timothy L Lash1, Anders H Riis, Eva B Ostenfeld

  • 1Department of Epidemiology, Rollins School of Public Health, Atlanta, GA; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.

International Journal of Cancer
|October 14, 2014
PubMed
Summary

We created an algorithm using Danish registries to accurately identify colorectal cancer recurrences. This method shows high sensitivity and specificity, improving cancer recurrence detection efficiency.

Keywords:
colorectal neoplasmsepidemiologysecondary

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Area of Science:

  • Oncology
  • Medical Informatics
  • Epidemiology

Background:

  • Accurate and efficient identification of colorectal cancer recurrences is challenging.
  • Existing methods for tracking cancer recurrence may lack precision or efficiency.
  • Danish medical registries offer a potential data source for developing robust identification algorithms.

Purpose of the Study:

  • To develop and validate an algorithm for identifying colorectal cancer recurrences using Danish medical registries.
  • To assess the algorithm's accuracy, sensitivity, and specificity against actively followed patient data.
  • To evaluate the algorithm's utility in analyzing recurrence patterns within a large patient cohort.

Main Methods:

  • Development of an algorithm utilizing metastasis, chemotherapy, and pathology codes from Danish National Patient Registry and Danish Pathology Registry.
  • Application of the algorithm to a large cohort (n=21,246) of colorectal cancer patients diagnosed between 2001-2011.
  • Validation of the algorithm against recurrence data from an actively followed cohort (n=355).

Main Results:

  • The algorithm demonstrated high performance in the actively followed cohort: 95% sensitivity and 97% specificity for recurrence detection.
  • Cumulative incidence curves revealed a higher recurrence rate in regional stage colorectal cancer patients compared to local stage.
  • The algorithm's imputed recurrence data closely aligned with diagnosed recurrences in the actively followed cohort.

Conclusions:

  • The developed algorithm accurately and efficiently identifies colorectal cancer recurrences using Danish medical registries.
  • The algorithm shows excellent performance comparable to traditional follow-up methods.
  • This validated algorithm can be implemented in Danish registries and adapted for similar systems globally to improve cancer surveillance.