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Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model

BACKGROUND: Conditional survival is the survival probability after already surviving a predefined time period. This may be informative during follow-up, especially when adjusted for tumor characteristics. Such prediction models for patients with resected pancreatic cancer are lacking and therefore c...

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Autores principales: Latenstein, Anouk E. J., van Roessel, Stijn, van der Geest, Lydia G. M., Bonsing, Bert A., Dejong, Cornelis H. C., Groot Koerkamp, Bas, de Hingh, Ignace H. J. T., Homs, Marjolein Y. V., Klaase, Joost M., Lemmens, Valery, Molenaar, I. Quintus, Steyerberg, Ewout W., Stommel, Martijn W. J., Busch, Olivier R., van Eijck, Casper H. J., van Laarhoven, Hanneke W. M., Wilmink, Johanna W., Besselink, Marc G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311496/
https://www.ncbi.nlm.nih.gov/pubmed/32052299
http://dx.doi.org/10.1245/s10434-020-08235-w
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author Latenstein, Anouk E. J.
van Roessel, Stijn
van der Geest, Lydia G. M.
Bonsing, Bert A.
Dejong, Cornelis H. C.
Groot Koerkamp, Bas
de Hingh, Ignace H. J. T.
Homs, Marjolein Y. V.
Klaase, Joost M.
Lemmens, Valery
Molenaar, I. Quintus
Steyerberg, Ewout W.
Stommel, Martijn W. J.
Busch, Olivier R.
van Eijck, Casper H. J.
van Laarhoven, Hanneke W. M.
Wilmink, Johanna W.
Besselink, Marc G.
author_facet Latenstein, Anouk E. J.
van Roessel, Stijn
van der Geest, Lydia G. M.
Bonsing, Bert A.
Dejong, Cornelis H. C.
Groot Koerkamp, Bas
de Hingh, Ignace H. J. T.
Homs, Marjolein Y. V.
Klaase, Joost M.
Lemmens, Valery
Molenaar, I. Quintus
Steyerberg, Ewout W.
Stommel, Martijn W. J.
Busch, Olivier R.
van Eijck, Casper H. J.
van Laarhoven, Hanneke W. M.
Wilmink, Johanna W.
Besselink, Marc G.
author_sort Latenstein, Anouk E. J.
collection PubMed
description BACKGROUND: Conditional survival is the survival probability after already surviving a predefined time period. This may be informative during follow-up, especially when adjusted for tumor characteristics. Such prediction models for patients with resected pancreatic cancer are lacking and therefore conditional survival was assessed and a nomogram predicting 5-year survival at a predefined period after resection of pancreatic cancer was developed. METHODS: This population-based study included patients with resected pancreatic ductal adenocarcinoma from the Netherlands Cancer Registry (2005–2016). Conditional survival was calculated as the median, and the probability of surviving up to 8 years in patients who already survived 0–5 years after resection was calculated using the Kaplan–Meier method. A prediction model was constructed. RESULTS: Overall, 3082 patients were included, with a median age of 67 years. Median overall survival was 18 months (95% confidence interval 17–18 months), with a 5-year survival of 15%. The 1-year conditional survival (i.e. probability of surviving the next year) increased from 55 to 74 to 86% at 1, 3, and 5 years after surgery, respectively, while the median overall survival increased from 15 to 40 to 64 months at 1, 3, and 5 years after surgery, respectively. The prediction model demonstrated that the probability of achieving 5-year survival at 1 year after surgery varied from 1 to 58% depending on patient and tumor characteristics. CONCLUSIONS: This population-based study showed that 1-year conditional survival was 55% 1 year after resection and 74% 3 years after resection in patients with pancreatic cancer. The prediction model is available via www.pancreascalculator.com to inform patients and caregivers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1245/s10434-020-08235-w) contains supplementary material, which is available to authorized users.
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spelling pubmed-73114962020-06-26 Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model Latenstein, Anouk E. J. van Roessel, Stijn van der Geest, Lydia G. M. Bonsing, Bert A. Dejong, Cornelis H. C. Groot Koerkamp, Bas de Hingh, Ignace H. J. T. Homs, Marjolein Y. V. Klaase, Joost M. Lemmens, Valery Molenaar, I. Quintus Steyerberg, Ewout W. Stommel, Martijn W. J. Busch, Olivier R. van Eijck, Casper H. J. van Laarhoven, Hanneke W. M. Wilmink, Johanna W. Besselink, Marc G. Ann Surg Oncol Pancreatic Tumors BACKGROUND: Conditional survival is the survival probability after already surviving a predefined time period. This may be informative during follow-up, especially when adjusted for tumor characteristics. Such prediction models for patients with resected pancreatic cancer are lacking and therefore conditional survival was assessed and a nomogram predicting 5-year survival at a predefined period after resection of pancreatic cancer was developed. METHODS: This population-based study included patients with resected pancreatic ductal adenocarcinoma from the Netherlands Cancer Registry (2005–2016). Conditional survival was calculated as the median, and the probability of surviving up to 8 years in patients who already survived 0–5 years after resection was calculated using the Kaplan–Meier method. A prediction model was constructed. RESULTS: Overall, 3082 patients were included, with a median age of 67 years. Median overall survival was 18 months (95% confidence interval 17–18 months), with a 5-year survival of 15%. The 1-year conditional survival (i.e. probability of surviving the next year) increased from 55 to 74 to 86% at 1, 3, and 5 years after surgery, respectively, while the median overall survival increased from 15 to 40 to 64 months at 1, 3, and 5 years after surgery, respectively. The prediction model demonstrated that the probability of achieving 5-year survival at 1 year after surgery varied from 1 to 58% depending on patient and tumor characteristics. CONCLUSIONS: This population-based study showed that 1-year conditional survival was 55% 1 year after resection and 74% 3 years after resection in patients with pancreatic cancer. The prediction model is available via www.pancreascalculator.com to inform patients and caregivers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1245/s10434-020-08235-w) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-02-12 2020 /pmc/articles/PMC7311496/ /pubmed/32052299 http://dx.doi.org/10.1245/s10434-020-08235-w Text en © The Author(s) 2020 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/.
spellingShingle Pancreatic Tumors
Latenstein, Anouk E. J.
van Roessel, Stijn
van der Geest, Lydia G. M.
Bonsing, Bert A.
Dejong, Cornelis H. C.
Groot Koerkamp, Bas
de Hingh, Ignace H. J. T.
Homs, Marjolein Y. V.
Klaase, Joost M.
Lemmens, Valery
Molenaar, I. Quintus
Steyerberg, Ewout W.
Stommel, Martijn W. J.
Busch, Olivier R.
van Eijck, Casper H. J.
van Laarhoven, Hanneke W. M.
Wilmink, Johanna W.
Besselink, Marc G.
Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title_full Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title_fullStr Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title_full_unstemmed Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title_short Conditional Survival After Resection for Pancreatic Cancer: A Population-Based Study and Prediction Model
title_sort conditional survival after resection for pancreatic cancer: a population-based study and prediction model
topic Pancreatic Tumors
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311496/
https://www.ncbi.nlm.nih.gov/pubmed/32052299
http://dx.doi.org/10.1245/s10434-020-08235-w
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