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What is relative survival and what is its role in haematology?
ID
Pohar Perme, Maja
(
Author
),
ID
Wreede, Liesbeth C. de
(
Author
),
ID
Manevski, Damjan
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S152169262300035X
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Abstract
In many haematological diseases, the survival probability is the key outcome. However, when the population of patients is rather old and the follow-up long, a significant proportion of deaths cannot be attributed to the studied disease. This lessens the importance of common survival analysis measures like overall survival and shows the need for other outcome measures requiring more complex methodology. When disease-specific information is of interest but the cause of death is not available in the data, relative survival methodology becomes crucial. The idea of relative survival is to merge the observed data set with the mortality data in the general population and thus allow for an indirect estimation of the burden of the disease. In this work, an overview of different measures that can be of interest in the field of haematology is given. We introduce the crude mortality that reports the probability of dying due to the disease of interest; the net survival that focuses on excess hazard alone and presents the key measure in comparing the disease burden of patients from populations with different general population mortality; and the relative survival ratio which gives a simple comparison of the patients' and the general population survival. We explain the properties of each measure, and some brief notes are given on estimation. Furthermore, we describe how association with covariates can be studied. All the methods and their estimators are illustrated on a sub-cohort of older patients who received a first allogeneic hematopoietic stem cell transplantation for myelodysplastic syndromes or secondary acute myeloid leukemia, to show how different methods can provide different insights into the data.
Language:
English
Keywords:
survival analysis
,
haematological diseases
,
mortality tables
,
relative survival
,
net survival
,
competing risks
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
MF - Faculty of Medicine
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
11 str.
Numbering:
Vol. 36, iss. 2, art. 101474
PID:
20.500.12556/RUL-148276
UDC:
616.1
ISSN on article:
1532-1924
DOI:
10.1016/j.beha.2023.101474
COBISS.SI-ID:
151566851
Publication date in RUL:
09.08.2023
Views:
397
Downloads:
59
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Record is a part of a journal
Title:
Best practice & research clinical haematology
Shortened title:
Baillière's best pract. res. clin. haematol.
Publisher:
Elsevier
ISSN:
1532-1924
COBISS.SI-ID:
151558659
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
analiza preživetja
,
hematološke bolezni
,
tabele smrtnosti
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0154
Name:
Metodologija za analizo podatkov v medicini
Funder:
ARRS - Slovenian Research Agency
Project number:
J3-1761
Name:
Število izgubljenih let kot mera bremena bolezni
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