A validated register-based algorithm to identify patients diagnosed with recurrence of malignant melanoma in denmark
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A validated register-based algorithm to identify patients diagnosed with recurrence of malignant melanoma in denmark. / Rasmussen, Linda Aagaard; Jensen, Henry; Virgilsen, Line Flytkjaer; Rosenkrantz, Lisbet; Hölmich; Vedsted, Peter.
I: Clinical Epidemiology, Bind 13, 2021, s. 207-214.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - A validated register-based algorithm to identify patients diagnosed with recurrence of malignant melanoma in denmark
AU - Rasmussen, Linda Aagaard
AU - Jensen, Henry
AU - Virgilsen, Line Flytkjaer
AU - Rosenkrantz, Lisbet
AU - Hölmich, null
AU - Vedsted, Peter
PY - 2021
Y1 - 2021
N2 - Purpose: Information on cancer recurrence is rarely available outside clinical trials. Wide exclusion criteria used in clinical trials tend to limit the generalizability of findings to the entire population of people living beyond a cancer disease. Therefore, population-level evidence is needed. The aim of this study was to develop and validate a register-based algorithm to identify patients diagnosed with recurrence after curative treatment of malignant melanoma. Patients and Methods: Indicators of recurrence were diagnosis and procedure codes recorded in the Danish National Patient Register and pathology results recorded in the Danish National Pathology Register. Medical records on recurrence status and recurrence date in the Danish Melanoma Database served as the gold standard to assess the accuracy of the algorithm. Results: The study included 1747 patients diagnosed with malignant melanoma; 95 (5.4%) were diagnosed with recurrence of malignant melanoma according to the gold standard. The algorithm reached a sensitivity of 93.7% (95% confidence interval (CI) 86.8–97.6), a specificity of 99.2% (95% CI: 98.6–99.5), a positive predictive value of 86.4% (95% CI: 78.2–92.4), and negative predictive value of 99.6% (95% CI: 99.2–99.9). Lin’s concordance correlation coefficient was 0.992 (95% CI: 0.989–0.996) for the agreement between the recurrence dates generated by the algorithm and by the gold standard. Conclusion: The algorithm can be used to identify patients diagnosed with recurrence of malignant melanoma and to establish the timing of recurrence. This can generate population-level evidence on disease-free survival and diagnostic pathways for recurrence of malignant melanoma.
AB - Purpose: Information on cancer recurrence is rarely available outside clinical trials. Wide exclusion criteria used in clinical trials tend to limit the generalizability of findings to the entire population of people living beyond a cancer disease. Therefore, population-level evidence is needed. The aim of this study was to develop and validate a register-based algorithm to identify patients diagnosed with recurrence after curative treatment of malignant melanoma. Patients and Methods: Indicators of recurrence were diagnosis and procedure codes recorded in the Danish National Patient Register and pathology results recorded in the Danish National Pathology Register. Medical records on recurrence status and recurrence date in the Danish Melanoma Database served as the gold standard to assess the accuracy of the algorithm. Results: The study included 1747 patients diagnosed with malignant melanoma; 95 (5.4%) were diagnosed with recurrence of malignant melanoma according to the gold standard. The algorithm reached a sensitivity of 93.7% (95% confidence interval (CI) 86.8–97.6), a specificity of 99.2% (95% CI: 98.6–99.5), a positive predictive value of 86.4% (95% CI: 78.2–92.4), and negative predictive value of 99.6% (95% CI: 99.2–99.9). Lin’s concordance correlation coefficient was 0.992 (95% CI: 0.989–0.996) for the agreement between the recurrence dates generated by the algorithm and by the gold standard. Conclusion: The algorithm can be used to identify patients diagnosed with recurrence of malignant melanoma and to establish the timing of recurrence. This can generate population-level evidence on disease-free survival and diagnostic pathways for recurrence of malignant melanoma.
KW - Algorithms
KW - Denmark
KW - Melanoma
KW - Recurrence
KW - Registries
KW - Validation study
U2 - 10.2147/CLEP.S295844
DO - 10.2147/CLEP.S295844
M3 - Journal article
C2 - 33758549
AN - SCOPUS:85103247298
VL - 13
SP - 207
EP - 214
JO - Clinical Epidemiology
JF - Clinical Epidemiology
SN - 1179-1349
ER -
ID: 259621295