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Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates
BACKGROUND: Registration and coding of cause of death is prone to error since determining the exact underlying condition leading directly to death is challenging. In this study, causes of death from the death certificates were compared to patients’ medical files interpreted by experts at University...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220845/ https://www.ncbi.nlm.nih.gov/pubmed/34162431 http://dx.doi.org/10.1186/s13690-021-00637-w |
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author | Izci, Hava Tambuyzer, Tim Vandeven, Jessica Xicluna, Jérôme Wildiers, Hans Punie, Kevin Willers, Nynke Oldenburger, Eva Van Nieuwenhuysen, Els Berteloot, Patrick Smeets, Ann Nevelsteen, Ines Deblander, Anne De Schutter, Harlinde Neven, Patrick Silversmit, Geert Verdoodt, Freija |
author_facet | Izci, Hava Tambuyzer, Tim Vandeven, Jessica Xicluna, Jérôme Wildiers, Hans Punie, Kevin Willers, Nynke Oldenburger, Eva Van Nieuwenhuysen, Els Berteloot, Patrick Smeets, Ann Nevelsteen, Ines Deblander, Anne De Schutter, Harlinde Neven, Patrick Silversmit, Geert Verdoodt, Freija |
author_sort | Izci, Hava |
collection | PubMed |
description | BACKGROUND: Registration and coding of cause of death is prone to error since determining the exact underlying condition leading directly to death is challenging. In this study, causes of death from the death certificates were compared to patients’ medical files interpreted by experts at University Hospitals Leuven (UHL), to assess concordance between sources and its impact on cancer survival assessment. METHODS: Breast cancer patients treated at UHL (2009–2014) (follow-up until December 31st 2016) were included in this study. Cause of death was obtained from death certificates and expert-reviewed medical files at UHL. Agreement was calculated using Cohen’s kappa coefficient. Cause-specific survival (CSS) was calculated using the Kaplan-Meier method and the relative survival probability (RS) using the Ederer II and Pohar Perme method. RESULTS: A total of 2862 patients, of whom 354 died, were included. We found an agreement of 84.7% (kappa-value of 0.69 (95% C.I.: 0.62–0.77)) between death certificates and medical files. Death certificates had 10.7% false positive and 4.5% false negative rates. However, five-year CSS and RS measures were comparable for both sources. CONCLUSION: For breast cancer patients included in our study, fair agreement of cause of death was seen between death certificates and medical files with similar CSS and RS estimations. |
format | Online Article Text |
id | pubmed-8220845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82208452021-06-24 Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates Izci, Hava Tambuyzer, Tim Vandeven, Jessica Xicluna, Jérôme Wildiers, Hans Punie, Kevin Willers, Nynke Oldenburger, Eva Van Nieuwenhuysen, Els Berteloot, Patrick Smeets, Ann Nevelsteen, Ines Deblander, Anne De Schutter, Harlinde Neven, Patrick Silversmit, Geert Verdoodt, Freija Arch Public Health Research BACKGROUND: Registration and coding of cause of death is prone to error since determining the exact underlying condition leading directly to death is challenging. In this study, causes of death from the death certificates were compared to patients’ medical files interpreted by experts at University Hospitals Leuven (UHL), to assess concordance between sources and its impact on cancer survival assessment. METHODS: Breast cancer patients treated at UHL (2009–2014) (follow-up until December 31st 2016) were included in this study. Cause of death was obtained from death certificates and expert-reviewed medical files at UHL. Agreement was calculated using Cohen’s kappa coefficient. Cause-specific survival (CSS) was calculated using the Kaplan-Meier method and the relative survival probability (RS) using the Ederer II and Pohar Perme method. RESULTS: A total of 2862 patients, of whom 354 died, were included. We found an agreement of 84.7% (kappa-value of 0.69 (95% C.I.: 0.62–0.77)) between death certificates and medical files. Death certificates had 10.7% false positive and 4.5% false negative rates. However, five-year CSS and RS measures were comparable for both sources. CONCLUSION: For breast cancer patients included in our study, fair agreement of cause of death was seen between death certificates and medical files with similar CSS and RS estimations. BioMed Central 2021-06-23 /pmc/articles/PMC8220845/ /pubmed/34162431 http://dx.doi.org/10.1186/s13690-021-00637-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Izci, Hava Tambuyzer, Tim Vandeven, Jessica Xicluna, Jérôme Wildiers, Hans Punie, Kevin Willers, Nynke Oldenburger, Eva Van Nieuwenhuysen, Els Berteloot, Patrick Smeets, Ann Nevelsteen, Ines Deblander, Anne De Schutter, Harlinde Neven, Patrick Silversmit, Geert Verdoodt, Freija Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title | Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title_full | Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title_fullStr | Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title_full_unstemmed | Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title_short | Cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
title_sort | cause of death for patients with breast cancer: discordance between death certificates and medical files, and impact on survival estimates |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220845/ https://www.ncbi.nlm.nih.gov/pubmed/34162431 http://dx.doi.org/10.1186/s13690-021-00637-w |
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