Back to Journals » Clinical Epidemiology » Volume 10

Demographic shift disproportionately increases cancer burden in an aging nation: current and expected incidence and mortality in Hungary up to 2030

Authors Kenessey I

Received 20 November 2018

Accepted for publication 20 November 2018

Published 13 December 2018 Volume 2018:10 Pages 1865—1868

DOI https://doi.org/10.2147/CLEP.S195330



István Kenessey

National Cancer Registry of Hungary, National Institute of Oncology, Budapest, Hungary

I would like to thank Menyhárt et al1 for their recent publication, but I have a number of issues I would like to raise regarding the data collection and analysis.


Authors’ reply

Otília Menyhárt,1,2 János T Fekete,2 Balázs Győrffy1,2

1MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Hungarian Academy of Sciences, Budapest,
Hungary; 22nd Department of Pediatrics, Semmelweis University, Budapest, Hungary

We wish to thank Dr Kenessey for his queries and offer the following responses to help clarify the issues raised.
 
View the original paper by Menyhárt and colleagues.

Dear editor

I would like to thank Menyhárt et al1 for their recent publication, but I have a number of issues I would like to raise regarding the data collection and analysis.

According to the Methods section, the authors have used the National Cancer Registry and Central Statistical Office database as a data source for the analysis. Both organizations share publicly available data at http://www.onkol.hu/hu/rakregiszter-statisztika and http://www.ksh.hu/docs/hun/xstadat/xstadat_eves/i_wnh001.html. However, in their recent article, the authors did not refer to either website. Since the National Cancer Registry did not provide additional information to the authors, the authors were ethically obliged to clarify the exact source of their data. Also in the Methods section, the authors did not point out the exact selection criteria for cancer cases, stating only “All cancer cases are classified according to the International Statistical Classification of Diseases and Related Health Problems, 10th revision”. The Authors did not explain that only tumors with “C” diagnostic code (ICD10) were counted, as well as, in situ, benign, and borderline lesions. Moreover, the paper did not reveal whether secondary tumors (C77–C79) and malignant nonmelanocytic tumors of the skin (C44) were included in the analysis. Although an exact definition was absent, the incidence list did not appear to contain the latter cancer group; however, case numbers are in the same range as that of lung, colorectal, and breast cancer.

I would also like to point out that according to the official website of the Central Statistical Office, during the period 2006–2015, 324,258 patients died due to malignant disease, however, the paper presents this number as 331,119. Also, the National Cancer Registry of Hungary collects cases with the ICD10 code C00-097, D00-D09, D303, and D33, which means analysis of incidence and mortality was performed on different patient populations (incidence: C00-097, D00-D09, D303, and D33; mortality: C00-C97 and D00-D48). Finally, I wish to raise the issue of how the case numbers of 712,785 reported in the study, were calculated from the publicly available data of the National Cancer Registry.

As I have shown, it seems there may be some inaccuracies in the data used in the study and this raises questions about the results presented.

Disclosure

The author reports no conflicts of interest in this communication.

Reference

1.

Menyhárt O, Fekete JT, Győrffy B. Demographic shift disproportionately increases cancer burden in an aging nation: current and expected incidence and mortality in Hungary up to 2030. Clin Epidemiol. 2017;10:1093–1108.

Authors’ reply

Otília Menyhárt1,2, János T Fekete2, Balázs Győrffy1,2

1MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Hungarian Academy of Sciences, Budapest, Hungary; 22nd Department of Pediatrics, Semmelweis University, Budapest, Hungary

Correspondence: Balázs Győrffy, MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary
Tel +36 30 514 2822
Email [email protected]

Dear editor

We wish to thank Dr Kenessey for his queries and offer the following responses to help clarify the issues raised.

Regarding the use of the two source databases, the manuscript went through multiple rounds of revisions and was peer-reviewed by five reviewers (including the earlier version of the manuscript) and two editors. At no stage were any concerns raised about the clarity of data sources, because it was clarified in the article, as quoted “Population-based incidence data for the period between 2001 and 2014 were collected by the National Cancer Registry of Hungary. Mortality data for the time frame between 1996 and 2015 were acquired from the Central Statistical Office of Hungary. The National Cancer Registry of Hungary was established in 2000 to replace former hospital-based data collection systems, and it remains in close contact with community hospitals to ensure the quality of the compiled data. Since 2001, the collected incidence data are publicly available”. Since there is only a single National Cancer Registry of Hungary, there was no place for any ambiguity as to the database used. More importantly, although the database of the National Cancer Registry is a publicly available website, all the data are listed in Hungarian only and there is no English translation available. We did not think providing the link to this site would be very beneficial for the international readers who comprise the majority of Clinical Epidemiology’s readership.

In response to the selection criteria, the number one ranked journal in the field of Oncology (CA: A Cancer Journal for Clinicians) publishes the yearly US Cancer Statistics in which “All cancer cases are classified according to the International Statistical Classification of Diseases and Related Health Problems, 10th revision”. We used the same classification system for our selection criteria as was detailed in the article. As the data were downloaded from the National Cancer Registry of Hungary, the database does not contain information about secondary malignancies (C77–C79) and therefore could not have been included in the analysis. We followed the common international practice in which C44 is not included in the group of melanomas of the skin. In our tables, the major types of malignancies were clearly labeled, and the manuscript included the statistics of the major cancer types.

Regarding the issue raised about the number of patients reported as dying due to malignant disease, we downloaded all mortality data on the 16th of September 2016. In the mortality data, we included all cases listed under C00–D48, including benign tumors and tumors with ambiguous origin. If these tumors were left out, the numbers would correspond with the number presented by Dr Kenessey. Our justification for the inclusion of this data was that these tumors were indeed lethal and our intention was to provide the most comprehensive tumor-related characterization of the present mortality in the population.

In response to the incidence and mortality analyses, we clearly indicated in the manuscript the sources of the incidence and mortality data, and how data availability restricts this analysis. For estimates of overall mortality, we refer to our previous response. The future estimates for incidence and mortality of each tumor type strictly depends on the specific data for that tumor. For example, female breast cancer (BC) is labeled by the BNO code, C50. Thus, both incidence and mortality estimates for BC were only based on C50 data. It would be beneficial for the National Cancer Registry to change its practice and harmonize the list of collected data with the Central Statistical Office of Hungary for the sake of better compatibility.

Finally, according to a statement on the website of the National Cancer Registry, the most recent data are not publicly available, because of ongoing quality controls, and “data for the latest 3–5 years are likely to change after finishing the corrections”. We downloaded the data in the Fall of 2016, when data from 2015 were not yet available. This is why we substituted data from 2015 with the mean of the two most recent years, as described in the Methods section. Minor discrepancies between our case numbers and that of the reader can be expected due to recent data corrections.

Disclosure

The authors report no conflicts of interest in this communication.

Dove Medical Press encourages responsible, free and frank academic debate. The content of the Clinical Epidemiology ‘letters to the editor’ section does not necessarily represent the views of Dove Medical Press, its officers, agents, employees, related entities or the Clinical Epidemiology editors. While all reasonable steps have been taken to confirm the content of each letter, Dove Medical Press accepts no liability in respect of the content of any letter, nor is it responsible for the content and accuracy of any letter to the editor.

Creative Commons License © 2018 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.