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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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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. |
format | Online Article Text |
id | pubmed-8846560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
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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