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

Timothy L Lash, Anders H Riis, Eva B Ostenfeld, Rune Erichsen, Mogens Vyberg, Ole Thorlacius-Ussing

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

20 Citationer (Scopus)

Resumé

Colorectal cancer recurrences are difficult to ascertain accurately and efficiently. We developed and validated an algorithm to identify recurrences that uses Danish medical registries. The algorithm uses metastasis and chemotherapy codes in the Danish National Patient Registry and codes indicating cancer recurrence in the Danish Pathology Registry. We applied the algorithm to a cohort (n=21,246) of colorectal cancer patients diagnosed 2001-2011 and followed through 2012. In a cohort (n=355) of two groups of actively followed patients, we compared the imputed recurrence data with recurrences diagnosed by regular follow-up. We compared cumulative incidence curves of imputed recurrence in local and regional stage patients from the large cohort, and of imputed and diagnosed recurrences in the actively followed cohort. In the 355 members of the actively followed cohort, our algorithm correctly identified 60 of 63 recurrences (sensitivity = 95%; 95% CI 87%, 99%) and misclassified only 10 of 292 without recurrence (specificity = 97%; 95% CI 94%, 98%). Cumulative incidence curves showed that members of the large cohort with regional disease had much higher incidence of imputed recurrence than those with local disease. In the actively followed cohort, the cumulative incidence of recurrence overlapped substantially when recurrence was imputed by our algorithm or using the follow-up data. Despite some limitations regarding ambiguous pathology codes, our algorithm showed excellent performance against actively followed recurrence data, and the expected relation between recurrence risk and cancer stage. It can be used in the Danish registries and adapted to similar registries elsewhere. © 2014 Wiley Periodicals, Inc.

OriginalsprogEngelsk
TidsskriftInternational Journal of Cancer
Vol/bind136
Udgave nummer9
Sider (fra-til)2210-2215
Antal sider6
ISSN0020-7136
DOI
StatusUdgivet - 2015

Fingerprint

Denmark
Registries
Colorectal Neoplasms
Recurrence
Incidence
Pathology
Neoplasms

Citer dette

Lash, Timothy L ; Riis, Anders H ; Ostenfeld, Eva B ; Erichsen, Rune ; Vyberg, Mogens ; Thorlacius-Ussing, Ole. / A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark. I: International Journal of Cancer. 2015 ; Bind 136, Nr. 9. s. 2210-2215.
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title = "A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark",
abstract = "Colorectal cancer recurrences are difficult to ascertain accurately and efficiently. We developed and validated an algorithm to identify recurrences that uses Danish medical registries. The algorithm uses metastasis and chemotherapy codes in the Danish National Patient Registry and codes indicating cancer recurrence in the Danish Pathology Registry. We applied the algorithm to a cohort (n=21,246) of colorectal cancer patients diagnosed 2001-2011 and followed through 2012. In a cohort (n=355) of two groups of actively followed patients, we compared the imputed recurrence data with recurrences diagnosed by regular follow-up. We compared cumulative incidence curves of imputed recurrence in local and regional stage patients from the large cohort, and of imputed and diagnosed recurrences in the actively followed cohort. In the 355 members of the actively followed cohort, our algorithm correctly identified 60 of 63 recurrences (sensitivity = 95{\%}; 95{\%} CI 87{\%}, 99{\%}) and misclassified only 10 of 292 without recurrence (specificity = 97{\%}; 95{\%} CI 94{\%}, 98{\%}). Cumulative incidence curves showed that members of the large cohort with regional disease had much higher incidence of imputed recurrence than those with local disease. In the actively followed cohort, the cumulative incidence of recurrence overlapped substantially when recurrence was imputed by our algorithm or using the follow-up data. Despite some limitations regarding ambiguous pathology codes, our algorithm showed excellent performance against actively followed recurrence data, and the expected relation between recurrence risk and cancer stage. It can be used in the Danish registries and adapted to similar registries elsewhere. {\circledC} 2014 Wiley Periodicals, Inc.",
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A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark. / Lash, Timothy L; Riis, Anders H; Ostenfeld, Eva B; Erichsen, Rune; Vyberg, Mogens; Thorlacius-Ussing, Ole.

I: International Journal of Cancer, Bind 136, Nr. 9, 2015, s. 2210-2215.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark

AU - Lash, Timothy L

AU - Riis, Anders H

AU - Ostenfeld, Eva B

AU - Erichsen, Rune

AU - Vyberg, Mogens

AU - Thorlacius-Ussing, Ole

N1 - Copyright © 2014 UICC.

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N2 - Colorectal cancer recurrences are difficult to ascertain accurately and efficiently. We developed and validated an algorithm to identify recurrences that uses Danish medical registries. The algorithm uses metastasis and chemotherapy codes in the Danish National Patient Registry and codes indicating cancer recurrence in the Danish Pathology Registry. We applied the algorithm to a cohort (n=21,246) of colorectal cancer patients diagnosed 2001-2011 and followed through 2012. In a cohort (n=355) of two groups of actively followed patients, we compared the imputed recurrence data with recurrences diagnosed by regular follow-up. We compared cumulative incidence curves of imputed recurrence in local and regional stage patients from the large cohort, and of imputed and diagnosed recurrences in the actively followed cohort. In the 355 members of the actively followed cohort, our algorithm correctly identified 60 of 63 recurrences (sensitivity = 95%; 95% CI 87%, 99%) and misclassified only 10 of 292 without recurrence (specificity = 97%; 95% CI 94%, 98%). Cumulative incidence curves showed that members of the large cohort with regional disease had much higher incidence of imputed recurrence than those with local disease. In the actively followed cohort, the cumulative incidence of recurrence overlapped substantially when recurrence was imputed by our algorithm or using the follow-up data. Despite some limitations regarding ambiguous pathology codes, our algorithm showed excellent performance against actively followed recurrence data, and the expected relation between recurrence risk and cancer stage. It can be used in the Danish registries and adapted to similar registries elsewhere. © 2014 Wiley Periodicals, Inc.

AB - Colorectal cancer recurrences are difficult to ascertain accurately and efficiently. We developed and validated an algorithm to identify recurrences that uses Danish medical registries. The algorithm uses metastasis and chemotherapy codes in the Danish National Patient Registry and codes indicating cancer recurrence in the Danish Pathology Registry. We applied the algorithm to a cohort (n=21,246) of colorectal cancer patients diagnosed 2001-2011 and followed through 2012. In a cohort (n=355) of two groups of actively followed patients, we compared the imputed recurrence data with recurrences diagnosed by regular follow-up. We compared cumulative incidence curves of imputed recurrence in local and regional stage patients from the large cohort, and of imputed and diagnosed recurrences in the actively followed cohort. In the 355 members of the actively followed cohort, our algorithm correctly identified 60 of 63 recurrences (sensitivity = 95%; 95% CI 87%, 99%) and misclassified only 10 of 292 without recurrence (specificity = 97%; 95% CI 94%, 98%). Cumulative incidence curves showed that members of the large cohort with regional disease had much higher incidence of imputed recurrence than those with local disease. In the actively followed cohort, the cumulative incidence of recurrence overlapped substantially when recurrence was imputed by our algorithm or using the follow-up data. Despite some limitations regarding ambiguous pathology codes, our algorithm showed excellent performance against actively followed recurrence data, and the expected relation between recurrence risk and cancer stage. It can be used in the Danish registries and adapted to similar registries elsewhere. © 2014 Wiley Periodicals, Inc.

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DO - 10.1002/ijc.29267

M3 - Journal article

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JO - International Journal of Cancer

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