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Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital

PURPOSE: To develop algorithms to identify number of lines of anti-neoplastic therapy per patient based on the Danish National Patient Registry (DNPR) and identify which algorithm has the highest percentage agreement with a reference standard of documentation in medical records. PATIENTS AND METHODS...

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Autores principales: Sørup, Signe, Darvalics, Bianka, Knudsen, Jakob Schöllhammer, Rasmussen, Anne Staub, Hjorth, Cathrine Fonnesbech, Vestergaard, Søren Viborg, Khalil, Azza Ahmed, Russo, Leo, Oksen, Dina, Boutmy, Emmanuelle, Verpillat, Patrice, Rørth, Mikael, Cronin-Fenton, Deirdre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846560/
https://www.ncbi.nlm.nih.gov/pubmed/35177936
http://dx.doi.org/10.2147/CLEP.S342238
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author Sørup, Signe
Darvalics, Bianka
Knudsen, Jakob Schöllhammer
Rasmussen, Anne Staub
Hjorth, Cathrine Fonnesbech
Vestergaard, Søren Viborg
Khalil, Azza Ahmed
Russo, Leo
Oksen, Dina
Boutmy, Emmanuelle
Verpillat, Patrice
Rørth, Mikael
Cronin-Fenton, Deirdre
author_facet Sørup, Signe
Darvalics, Bianka
Knudsen, Jakob Schöllhammer
Rasmussen, Anne Staub
Hjorth, Cathrine Fonnesbech
Vestergaard, Søren Viborg
Khalil, Azza Ahmed
Russo, Leo
Oksen, Dina
Boutmy, Emmanuelle
Verpillat, Patrice
Rørth, Mikael
Cronin-Fenton, Deirdre
author_sort Sørup, Signe
collection PubMed
description PURPOSE: To develop algorithms to identify number of lines of anti-neoplastic therapy per patient based on the Danish National Patient Registry (DNPR) and identify which algorithm has the highest percentage agreement with a reference standard of documentation in medical records. PATIENTS AND METHODS: We included 179 patients diagnosed between January 1, 2012, and December 31, 2016, with stage II, III, or IV urothelial cell carcinoma or stage III or IV epithelial ovarian cancer, gastric adenocarcinoma, renal cell carcinoma, or non-small cell lung cancer (NSCLC). We developed two algorithms for number of lines of anti-neoplastic therapy based on dates and treatment codes (eg, “treatment with cisplatin” or “cytostatic treatment”) in the DNPR. First, to denote a change in line of therapy the “Time-based algorithm” used the number of days between consecutive administrations. Second, the “Drug-based algorithm” used information on drug names if available or the number of days between consecutive administrations if no drug names were specified. We calculated the percentage agreement between the algorithms setting the number of allowed days between consecutive administrations from 28 to 50 and the reference standard – information on anti-neoplastic therapy drugs abstracted from medical records and subsequently coded according to lines of anti-neoplastic therapy. RESULTS: For the “Time-based algorithm”, the highest percentage agreement with the reference standard was found when using <45 days between consecutive administrations (67.6%; 95% CI: 60.1–73.8%). However, the percentage agreement was higher for the “Drug-based algorithm” using <45 days between consecutive administrations for registrations where the drug name was unspecified (90.5%; 95% CI: 85.0–93.7%). CONCLUSION: The algorithm for number of lines of anti-neoplastic therapy that had the highest percentage agreement with the reference standard (medical records) incorporated both registration of specific drug names and <45 days between consecutive administrations if the drug name was unspecified in routinely recorded data from DNPR.
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spelling pubmed-88465602022-02-16 Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital Sørup, Signe Darvalics, Bianka Knudsen, Jakob Schöllhammer Rasmussen, Anne Staub Hjorth, Cathrine Fonnesbech Vestergaard, Søren Viborg Khalil, Azza Ahmed Russo, Leo Oksen, Dina Boutmy, Emmanuelle Verpillat, Patrice Rørth, Mikael Cronin-Fenton, Deirdre Clin Epidemiol Original Research PURPOSE: To develop algorithms to identify number of lines of anti-neoplastic therapy per patient based on the Danish National Patient Registry (DNPR) and identify which algorithm has the highest percentage agreement with a reference standard of documentation in medical records. PATIENTS AND METHODS: We included 179 patients diagnosed between January 1, 2012, and December 31, 2016, with stage II, III, or IV urothelial cell carcinoma or stage III or IV epithelial ovarian cancer, gastric adenocarcinoma, renal cell carcinoma, or non-small cell lung cancer (NSCLC). We developed two algorithms for number of lines of anti-neoplastic therapy based on dates and treatment codes (eg, “treatment with cisplatin” or “cytostatic treatment”) in the DNPR. First, to denote a change in line of therapy the “Time-based algorithm” used the number of days between consecutive administrations. Second, the “Drug-based algorithm” used information on drug names if available or the number of days between consecutive administrations if no drug names were specified. We calculated the percentage agreement between the algorithms setting the number of allowed days between consecutive administrations from 28 to 50 and the reference standard – information on anti-neoplastic therapy drugs abstracted from medical records and subsequently coded according to lines of anti-neoplastic therapy. RESULTS: For the “Time-based algorithm”, the highest percentage agreement with the reference standard was found when using <45 days between consecutive administrations (67.6%; 95% CI: 60.1–73.8%). However, the percentage agreement was higher for the “Drug-based algorithm” using <45 days between consecutive administrations for registrations where the drug name was unspecified (90.5%; 95% CI: 85.0–93.7%). CONCLUSION: The algorithm for number of lines of anti-neoplastic therapy that had the highest percentage agreement with the reference standard (medical records) incorporated both registration of specific drug names and <45 days between consecutive administrations if the drug name was unspecified in routinely recorded data from DNPR. Dove 2022-02-11 /pmc/articles/PMC8846560/ /pubmed/35177936 http://dx.doi.org/10.2147/CLEP.S342238 Text en © 2022 Sørup et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Sørup, Signe
Darvalics, Bianka
Knudsen, Jakob Schöllhammer
Rasmussen, Anne Staub
Hjorth, Cathrine Fonnesbech
Vestergaard, Søren Viborg
Khalil, Azza Ahmed
Russo, Leo
Oksen, Dina
Boutmy, Emmanuelle
Verpillat, Patrice
Rørth, Mikael
Cronin-Fenton, Deirdre
Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title_full Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title_fullStr Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title_full_unstemmed Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title_short Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital
title_sort identifying valid algorithms for number of lines of anti-neoplastic therapy in the danish national patient registry among patients with advanced ovarian, gastric, renal cell, urothelial, and non-small cell lung cancer attending a danish university hospital
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846560/
https://www.ncbi.nlm.nih.gov/pubmed/35177936
http://dx.doi.org/10.2147/CLEP.S342238
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