TY - JOUR
T1 - Melanoma of the skin in the danish cancer registry and the danish melanoma database
AU - Pedersen, Sidsel Arnspang
AU - Schmidt, Sigrun Alba Johannesdottir
AU - Klausen, Siri
AU - Pottegård, Anton
AU - Friis, Søren
AU - Hölmich, Lisbet Rosenkrantz
AU - Gaist, David
PY - 2018
Y1 - 2018
N2 - Background: The nationwide Danish Cancer Registry and the Danish Melanoma Database both record data on melanoma for purposes of monitoring, quality assurance, and research. However, the data quality of the Cancer Registry and the Melanoma Database has not been formally evaluated. Methods: We estimated the positive predictive value (PPV) of melanoma diagnosis for random samples of 200 patients from the Cancer Registry (n = 200) and the Melanoma Database (n = 200) during 2004-2014, using the Danish Pathology Registry as "gold standard" reference. We further validated tumor characteristics in the Cancer Registry and the Melanoma Database. Additionally, we estimated the PPV of in situ melanoma diagnoses in the Melanoma Database, and the sensitivity of melanoma diagnoses in 2004-2014. Results: The PPVs of melanoma in the Cancer Registry and the Melanoma Database were 97% (95% CI = 94, 99) and 100%. The sensitivity was 90% in the Cancer Registry and 77% in the Melanoma Database. The PPV of in situ melanomas in the Melanoma Database was 97% and the sensitivity was 56%. In the Melanoma Database, we observed PPVs of ulceration of 75% and Breslow thickness of 96%. The PPV of histologic subtypes varied between 87% and 100% in the Cancer Registry and 93% and 100% in the Melanoma Database. The PPVs for anatomical localization were 83%-95% in the Cancer Registry and 93%-100% in the Melanoma Database. Conclusions: The data quality in both the Cancer Registry and the Melanoma Database is high, supporting their use in epidemiologic studies.
AB - Background: The nationwide Danish Cancer Registry and the Danish Melanoma Database both record data on melanoma for purposes of monitoring, quality assurance, and research. However, the data quality of the Cancer Registry and the Melanoma Database has not been formally evaluated. Methods: We estimated the positive predictive value (PPV) of melanoma diagnosis for random samples of 200 patients from the Cancer Registry (n = 200) and the Melanoma Database (n = 200) during 2004-2014, using the Danish Pathology Registry as "gold standard" reference. We further validated tumor characteristics in the Cancer Registry and the Melanoma Database. Additionally, we estimated the PPV of in situ melanoma diagnoses in the Melanoma Database, and the sensitivity of melanoma diagnoses in 2004-2014. Results: The PPVs of melanoma in the Cancer Registry and the Melanoma Database were 97% (95% CI = 94, 99) and 100%. The sensitivity was 90% in the Cancer Registry and 77% in the Melanoma Database. The PPV of in situ melanomas in the Melanoma Database was 97% and the sensitivity was 56%. In the Melanoma Database, we observed PPVs of ulceration of 75% and Breslow thickness of 96%. The PPV of histologic subtypes varied between 87% and 100% in the Cancer Registry and 93% and 100% in the Melanoma Database. The PPVs for anatomical localization were 83%-95% in the Cancer Registry and 93%-100% in the Melanoma Database. Conclusions: The data quality in both the Cancer Registry and the Melanoma Database is high, supporting their use in epidemiologic studies.
U2 - 10.1097/EDE.0000000000000802
DO - 10.1097/EDE.0000000000000802
M3 - Journal article
C2 - 29337844
AN - SCOPUS:85053917466
SN - 1044-3983
VL - 29
SP - 442
EP - 447
JO - Epidemiology
JF - Epidemiology
IS - 3
ER -