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Anders Hammerich Riis

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

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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.

In: International Journal of Cancer, Vol. 136, No. 9, 01.05.2015, p. 2210-5.

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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. In: International Journal of Cancer. 2015 ; Vol. 136, No. 9. pp. 2210-5.

Bibtex

@article{67480ea192894e11be03fdd6e430a9c9,
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% confidence interval (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.",
author = "Lash, {Timothy L} and Riis, {Anders H} and Ostenfeld, {Eva B} and Rune Erichsen and Mogens Vyberg and Ole Thorlacius-Ussing",
note = "{\textcopyright} 2014 UICC.",
year = "2015",
month = may,
day = "1",
doi = "10.1002/ijc.29267",
language = "English",
volume = "136",
pages = "2210--5",
journal = "International Journal of Cancer",
issn = "0020-7136",
publisher = "JohnWiley & Sons, Inc.",
number = "9",

}

RIS

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 - © 2014 UICC.

PY - 2015/5/1

Y1 - 2015/5/1

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% confidence interval (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.

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% confidence interval (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.

U2 - 10.1002/ijc.29267

DO - 10.1002/ijc.29267

M3 - Journal article

C2 - 25307704

VL - 136

SP - 2210

EP - 2215

JO - International Journal of Cancer

JF - International Journal of Cancer

SN - 0020-7136

IS - 9

ER -