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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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.
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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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