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Open AccessJournal ArticleDOI

Cancer Patients' Survival: Standard Calculation Methods And Some Considerations Regarding Their Interpretation: POPULACIJSKO PREŽIVETJE BOLNIKOV Z RAKOM: UPORABA RAZLIČNIH PRISTOPOV IN PROBLEMI INTERPRETACIJE REZULTATOV

Vesna Zadnik, +2 more
- 01 Jun 2016 - 
- Vol. 55, Iss: 2, pp 134-141
TLDR
It is shown that noticeable differences in cancer patients’ survival may not always reflect the real inequalities in cancer care, but can also appear due to variations in the applied methodology for relative survival calculation.
Abstract
Background Cancer patients' survival is an extremely important but complex indicator for assessing regional or global inequalities in diagnosis practices and clinical management of cancer patients. The population-based cancer survival comparisons are available through international projects (i.e. CONCORD, EUROCARE, OECD Health Reports) and online systems (SEER, NORDCAN, SLORA). In our research we aimed to show that noticeable differences in cancer patients' survival may not always reflect the real inequalities in cancer care, but can also appear due to variations in the applied methodology for relative survival calculation. Methods Four different approaches for relative survival calculation (cohort, complete, period and hybrid) have been implemented on the data set of Slovenian breast cancer patients diagnosed between 2000 and 2009, and the differences in survival estimates have been quantified. The major cancer survival comparison studies have been reviewed according to the selected relative survival calculation approach. Results The gap between four survival curves widens with time; after ten years of follow up the difference increases to more than 10 percent points between the highest (hybrid) and the lowest (cohort) estimates. In population-based comparison studies, the choice of the calculation approach is not uniformed; we noticed a tendency of simply using the approach which yields numerically better survival estimates. Conclusion The population-based cancer relative survival, which is continually reported by recognised research groups, could not be compared directly as the methodology is different, and, consequently, final country scores differ. A uniform survival measure would be of great benefit in the cancer care surveillance.

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Citations
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Reconstructing the patient’s natural history from electronic health records

TL;DR: A new Natural Language Processing (NLP) framework capable of extracting medical concepts, date expressions, temporal relations and the temporal ordering of medical events from EHRs written in Spanish using rule-based methods is introduced.
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Trends in Population-based Cancer Survival in Slovenia

TL;DR: In this article, the authors describe the survival of Slovenian cancer patients diagnosed in the last twenty years and give an insight into the improvement made in different cancer types, population groups and prognostic factors.
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Cancer Patients’ Survival According to Socioeconomic Environment in a High-Income Country with Universal Health Coverage

TL;DR: It is found that cancer patients in Slovenia with lower socioeconomic status experience worse survival and have higher mortality in the socioeconomically most deprived group of patients compared to the most affluent group.
References
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Book ChapterDOI

Nonparametric Estimation from Incomplete Observations

TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
Journal ArticleDOI

Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study

TL;DR: The major advances in cancer management that occurred up to 2007 seem to have resulted in improved survival in Europe, although results for lung cancer in some regions (central and eastern Europe) might be affected by overestimation.
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