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Erschienen in: Annals of Surgical Oncology 3/2020

Open Access 29.05.2020 | ASO Author Reflections

ASO Authors Reflections: Patient Age and Survival After Surgery for Esophageal Cancer

verfasst von: Giola Santoni, PhD, Jesper Lagergren, MD, PhD, Matteo Bottai, ScD

Erschienen in: Annals of Surgical Oncology | Sonderheft 3/2020

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Past

Curatively intended esophagectomy, currently the most effective treatment for locally advanced esophageal cancer, is an extensive procedure with high risks of serious and sometimes lethal complications.1 The short-term safety and long-term benefits of esophagectomy in older people are controversial. The decision as to whether to recommend esophagectomy or not in older patients may be better informed if the patient’s risk of mortality after surgery is available. One key measure is the change over time of the probability of dying and how this may differ across age groups. This study aimed to quantify this probability by using a novel statistical method, the event-probability regression.2,3 This method can estimate the mortality risk, properly defined as the probability of dying at any given time point for those who are still alive at that point (working paper: http://​www.​imm.​ki.​se/​biostatistics/​eventprob/​Working_​paper_​2020.​pdf). This estimated risk is bounded between zero and one, and can model odds ratios of mortality as a function of time and patients’ characteristics, such as age. Event-probability regression can be easily estimated with the Stata command “stpreg” available at http://​www.​imm.​ki.​se/​biostatistics/​eventprob.

Present

This nationwide and population-based cohort study included 1731 patients who underwent curatively intended esophagectomy between 1987 and 2010 in Sweden.4 The patients were followed for at least 5 years and date of death, when this occurred, was recorded. Patient data included age, attained education level, comorbidity, and tumor characteristics.
The probability of mortality increased with age and decreased with time after surgery. Forty-year-old patients alive at 6 months had a probability of dying of 0.3 patients/year, while in 80-year-old patients the probability was 0.5 patients/year. At 4 years after esophagectomy, these probabilities declined to 0.07 patients/year and 0.14 patients/year, respectively. At any time, the odds of dying for 80-year-old patients were 2.1 (95% CI 1.56–2.76) times that of 40-year-old patients.

Future

The study suggests that age is an independent risk factor for worse survival both in the short- and long-term after esophageal cancer surgery, which may be considered in the clinical decision-making.
The statistical method used in this paper allowed curves to be obtained for the probability of dying throughout the follow-up time. This method can be applied to any study where the aim is to analyze the time to an event of interest, such as diagnosis of cancer or onset of a disease. Traditionally, in this type of study the analysis focuses on hazard ratios and hazard functions. The hazard function, however, does not represent a probability. Proper probabilities and their odds ratios should be preferred by medical professionals when assessing the chance of survival in patients. Because obtaining probabilities and their odds ratios is simple with standard computer software, we recommend calculating and reporting these instead of the hazards.5

Acknowledgements

Open access funding provided by Karolinska Institute.

Disclosure

The authors declared that they have no conflict of interest.
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/​.

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Literatur
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Zurück zum Zitat Lagergren J, Smyth E, Cunningham D, Lagergren P. Oesophageal cancer. Lancet. 2017;390(10110):2383–96.CrossRef Lagergren J, Smyth E, Cunningham D, Lagergren P. Oesophageal cancer. Lancet. 2017;390(10110):2383–96.CrossRef
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Zurück zum Zitat Bottai M. A regression method for modelling geometric rates. Stat Methods Med Res. 2017;26(6):2700–7.CrossRef Bottai M. A regression method for modelling geometric rates. Stat Methods Med Res. 2017;26(6):2700–7.CrossRef
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Zurück zum Zitat Sutradhar R, Austin PC. Relative rates not relative risks: addressing a widespread misinterpretation of hazard ratios. Ann Epidemiol. 2018;28(1):54–7.CrossRef Sutradhar R, Austin PC. Relative rates not relative risks: addressing a widespread misinterpretation of hazard ratios. Ann Epidemiol. 2018;28(1):54–7.CrossRef
Metadaten
Titel
ASO Authors Reflections: Patient Age and Survival After Surgery for Esophageal Cancer
verfasst von
Giola Santoni, PhD
Jesper Lagergren, MD, PhD
Matteo Bottai, ScD
Publikationsdatum
29.05.2020
Verlag
Springer International Publishing
Erschienen in
Annals of Surgical Oncology / Ausgabe Sonderheft 3/2020
Print ISSN: 1068-9265
Elektronische ISSN: 1534-4681
DOI
https://doi.org/10.1245/s10434-020-08661-w

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