Academic Journal
The impact of life tables on age standardized net survival of real-life example databases.
| Τίτλος: | The impact of life tables on age standardized net survival of real-life example databases. |
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| Συγγραφείς: | Wéber A; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary. weber.andras@oncol.hu., Vokó Z; Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary.; Center for Pharmacology and Drug Research & Development, Semmelweis University, Budapest, Hungary.; Syreon Research Institute, Budapest, Hungary., Kiss Z; Second Department of Medicine and Nephrology-Diabetes Centre, University of Pécs Medical School, Pécs, Hungary., Szatmári I; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary., Dobozi M; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary., Parrag P; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary.; Schools of PhD Studies, Semmelweis University, Budapest, Hungary., Fábián I; RxTarget Ltd., Szolnok, Hungary.; University of Veterinary Medicine Budapest, Budapest, Hungary., Rokszin G; RxTarget Ltd., Szolnok, Hungary., Nagy P; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary.; Department of Anatomy and Histology, HUN-REN-UVMB Laboratory of Redox Biology Research Group, University of Veterinary Medicine, Budapest, Hungary.; Chemistry Coordination Institute, University of Debrecen, Debrecen, Hungary., Polgár C; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary.; Department of Oncology, Semmelweis University, Budapest, Hungary., Kenessey I; National Institute of Oncology and National Tumor Biology Laboratory, Budapest, Hungary. kenessey.istvan@oncol.hu.; Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary. kenessey.istvan@oncol.hu. |
| Πηγή: | BMC medical research methodology [BMC Med Res Methodol] 2025 May 26; Vol. 25 (1), pp. 145. Date of Electronic Publication: 2025 May 26. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2001- |
| Ιατρικοί όροι (MeSH): | Breast Neoplasms*/mortality , Databases, Factual*/statistics & numerical data , Ovarian Neoplasms*/mortality , Uterine Cervical Neoplasms*/mortality , Life Tables*, Hungary/epidemiology ; Registries/statistics & numerical data ; Humans ; Female ; Aged ; Middle Aged ; Adult ; Survival Analysis ; Aged, 80 and over |
| Περίληψη: | Background: Population-based, age-standardized net survival estimates provide valuable insights for comparing the effectiveness of cancer treatment and the prospects of cure in an international context. Although numerous studies have previously assessed survival, the choice of life tables may crucially impact the feasibility of such analyses. Therefore, based on available studies, our aim was to understand the critical influence of life tables on net survival estimates. Methods: Record-level data of approximately 50,000 breast, cervical, and ovarian cancer patients were extracted from the Hungarian National Cancer Registry. These patients were diagnosed between 2010 and 2014 and were followed up until December 31, 2019. Life tables for the Hungarian female population were taken from the Human Mortality Database, the Human Life-Table Database and were compiled according to the EUROCARE, CONCORD both multivariable flexible and Ewbank methodology. Regarding the last due to the lack of specific parameters, simulations were performed to assess the missing values. The calculation of 5-year age-standardized net survival using different life tables revealed limitations in the methodology, highlighting the impact of life table selection on survival estimates. Findings: Minor biases were observed in age-standardized net survival when using life tables from different international databases. However, the net survival of breast cancer, which had the most favorable prognosis of the studied malignancies, showed significant discrepancies. Moreover, this research highlights the extreme sensitivity of the applied κ parameter in the CONCORD Ewbank method, underscoring the need for careful consideration when applying this approach. Interpretation: Present study shed light on how the choice of life tables can lead to differences in survival estimates for the same cancer population. It also emphasizes the importance of open methodological discussions to improve validity and accuracy of international comparability. (© 2025. The Author(s).) |
| Competing Interests: | Declarations. Ethical approval: Personalized data collection to the National Cancer Registry is mandated by a decree of the Hungarian Ministry of Human Capacities. Data handling was conducted in compliance with the General Data Protection Regulation (GDPR) of the European Union (EU). Data cleansing and statistical analyses were performed on a pseudonymized database. Since the Hungarian Cancer Registry was founded to perform these tasks, further ethical permission was not required. Consent for publication: All authors read and approved the final version of the manuscript. Competing interests: The authors declare no competing interests. |
| References: | Health Rep. 2014 Feb;25(2):13-9. (PMID: 24567246) J Natl Cancer Inst Monogr. 2014 Nov;2014(49):218-27. (PMID: 25417235) Lancet Oncol. 2023 Jan;24(1):22-32. (PMID: 36603919) BMC Cancer. 2017 Feb 27;17(1):159. (PMID: 28241815) Br J Cancer. 2014 Jul 8;111(1):195-202. (PMID: 24853177) Eur J Cancer. 2004 Oct;40(15):2307-16. (PMID: 15454257) Biometrics. 2012 Mar;68(1):113-20. (PMID: 21689081) Lancet. 2018 Mar 17;391(10125):1023-1075. (PMID: 29395269) Lancet. 2015 Mar 14;385(9972):977-1010. (PMID: 25467588) Gend Med. 2006 Jun;3(2):79-92. (PMID: 16860268) Popul Stud (Camb). 1983;37(1):105-27. (PMID: 22077369) Lancet Oncol. 2014 Jan;15(1):23-34. (PMID: 24314615) Eur J Cancer. 2009 Mar;45(5):747-55. (PMID: 19117750) Demography. 2018 Jun;55(3):957-978. (PMID: 29869068) Eur J Epidemiol. 2025 Feb;40(2):213-223. (PMID: 39912859) Cancer Epidemiol. 2023 Feb;82:102306. (PMID: 36521336) Lancet Oncol. 2019 Nov;20(11):1493-1505. (PMID: 31521509) BMC Public Health. 2015 Dec 16;15:1240. (PMID: 27129577) Ann Oncol. 2003;14 Suppl 5:v28-40. (PMID: 14684499) |
| Contributed Indexing: | Keywords: Cancer epidemiology; Cancer survival |
| Entry Date(s): | Date Created: 20250526 Date Completed: 20250527 Latest Revision: 20260608 |
| Update Code: | 20260608 |
| PubMed Central ID: | PMC12107785 |
| DOI: | 10.1186/s12874-025-02600-7 |
| PMID: | 40419979 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1471-2288 |
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| DOI: | 10.1186/s12874-025-02600-7 |