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The Danish National Lymphoma Registry: Coverage and Data Quality
BACKGROUND: The Danish National Lymphoma Register (LYFO) prospectively includes information on all lymphoma patients newly diagnosed at hematology departments in Denmark. The validity of the clinical information in the LYFO has never been systematically assessed. AIM: To test the coverage and data q...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919044/ https://www.ncbi.nlm.nih.gov/pubmed/27336800 http://dx.doi.org/10.1371/journal.pone.0157999 |
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author | Arboe, Bente El-Galaly, Tarec Christoffer Clausen, Michael Roost Munksgaard, Peter Svenssen Stoltenberg, Danny Nygaard, Mette Kathrine Klausen, Tobias Wirenfeldt Christensen, Jacob Haaber Gørløv, Jette Sønderskov Brown, Peter de Nully |
author_facet | Arboe, Bente El-Galaly, Tarec Christoffer Clausen, Michael Roost Munksgaard, Peter Svenssen Stoltenberg, Danny Nygaard, Mette Kathrine Klausen, Tobias Wirenfeldt Christensen, Jacob Haaber Gørløv, Jette Sønderskov Brown, Peter de Nully |
author_sort | Arboe, Bente |
collection | PubMed |
description | BACKGROUND: The Danish National Lymphoma Register (LYFO) prospectively includes information on all lymphoma patients newly diagnosed at hematology departments in Denmark. The validity of the clinical information in the LYFO has never been systematically assessed. AIM: To test the coverage and data quality of the LYFO. METHODS: The coverage was tested by merging data of the LYFO with the Danish Cancer Register and the Danish National Patient Register, respectively. The validity of the LYFO was assessed by crosschecking with information from medical records in subgroups of patients. A random sample of 3% (N = 364) was made from all patients in the LYFO. In addition, four subtypes of lymphomas were validated: CNS lymphomas, diffuse large B-cell lymphomas, peripheral T-cell lymphomas, and Hodgkin lymphomas. A total of 1,706 patients from the period 2000–2012 were included. The positive predictive values (PPVs) and completeness of selected variables were calculated for each subgroup and for the entire cohort of patients. RESULTS: The comparison of data from the LYFO with the Danish Cancer Register and the Danish National Patient Register revealed a high coverage. In addition, the data quality was good with high PPVs (87% to 100%), and high completeness (92% to 100%). CONCLUSION: The LYFO is a unique, nationwide clinical database characterized by high validity, good coverage and prospective data entry. It represents a valuable resource for future lymphoma research. |
format | Online Article Text |
id | pubmed-4919044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49190442016-07-08 The Danish National Lymphoma Registry: Coverage and Data Quality Arboe, Bente El-Galaly, Tarec Christoffer Clausen, Michael Roost Munksgaard, Peter Svenssen Stoltenberg, Danny Nygaard, Mette Kathrine Klausen, Tobias Wirenfeldt Christensen, Jacob Haaber Gørløv, Jette Sønderskov Brown, Peter de Nully PLoS One Research Article BACKGROUND: The Danish National Lymphoma Register (LYFO) prospectively includes information on all lymphoma patients newly diagnosed at hematology departments in Denmark. The validity of the clinical information in the LYFO has never been systematically assessed. AIM: To test the coverage and data quality of the LYFO. METHODS: The coverage was tested by merging data of the LYFO with the Danish Cancer Register and the Danish National Patient Register, respectively. The validity of the LYFO was assessed by crosschecking with information from medical records in subgroups of patients. A random sample of 3% (N = 364) was made from all patients in the LYFO. In addition, four subtypes of lymphomas were validated: CNS lymphomas, diffuse large B-cell lymphomas, peripheral T-cell lymphomas, and Hodgkin lymphomas. A total of 1,706 patients from the period 2000–2012 were included. The positive predictive values (PPVs) and completeness of selected variables were calculated for each subgroup and for the entire cohort of patients. RESULTS: The comparison of data from the LYFO with the Danish Cancer Register and the Danish National Patient Register revealed a high coverage. In addition, the data quality was good with high PPVs (87% to 100%), and high completeness (92% to 100%). CONCLUSION: The LYFO is a unique, nationwide clinical database characterized by high validity, good coverage and prospective data entry. It represents a valuable resource for future lymphoma research. Public Library of Science 2016-06-23 /pmc/articles/PMC4919044/ /pubmed/27336800 http://dx.doi.org/10.1371/journal.pone.0157999 Text en © 2016 Arboe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Arboe, Bente El-Galaly, Tarec Christoffer Clausen, Michael Roost Munksgaard, Peter Svenssen Stoltenberg, Danny Nygaard, Mette Kathrine Klausen, Tobias Wirenfeldt Christensen, Jacob Haaber Gørløv, Jette Sønderskov Brown, Peter de Nully The Danish National Lymphoma Registry: Coverage and Data Quality |
title | The Danish National Lymphoma Registry: Coverage and Data Quality |
title_full | The Danish National Lymphoma Registry: Coverage and Data Quality |
title_fullStr | The Danish National Lymphoma Registry: Coverage and Data Quality |
title_full_unstemmed | The Danish National Lymphoma Registry: Coverage and Data Quality |
title_short | The Danish National Lymphoma Registry: Coverage and Data Quality |
title_sort | danish national lymphoma registry: coverage and data quality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919044/ https://www.ncbi.nlm.nih.gov/pubmed/27336800 http://dx.doi.org/10.1371/journal.pone.0157999 |
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