Quality analysis of population-based information on cancer stage at diagnosis across Europe, with presentation of stage-specific cancer survival estimates: A EUROCARE-5 study

2017 ◽  
Vol 84 ◽  
pp. 335-353 ◽  
Author(s):  
Pamela Minicozzi ◽  
Kaire Innos ◽  
Maria-José Sánchez ◽  
Annalisa Trama ◽  
Paul M. Walsh ◽  
...  
Keyword(s):  
Cancer Survival ◽  
Population Based ◽  
Quality Analysis ◽  
Cancer Stage ◽  
Stage At Diagnosis ◽  
Specific Cancer

scholarly journals Socioeconomic disparities in head and neck cancer survival in Germany: a causal mediation analysis using population-based cancer registry data

2021 ◽  
Author(s):  
Ahmed Bedir ◽  
Semaw Ferede Abera ◽  
Ljupcho Efremov ◽  
Lamiaa Hassan ◽  
Dirk Vordermark ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Mediation Analysis ◽  
Cancer Survival ◽  
Socioeconomic Inequality ◽  
Relative Survival ◽  
Population Based ◽  
Socioeconomic Deprivation ◽  
Stage At Diagnosis ◽  
Causal Mediation Analysis

Abstract Purpose Despite recent improvements in cancer treatment in Germany, a marked difference in cancer survival based on socioeconomic factors persists. We aim to quantify the effect of socioeconomic inequality on head and neck cancer (HNC) survival. Methods Information on 20,821 HNC patients diagnosed in 2009–2013 was routinely collected by German population-based cancer registries. Socioeconomic inequality was defined by the German Index of Socioeconomic Deprivation. The Cox proportional regression and relative survival analysis measured the survival disparity according to level of socioeconomic deprivation with respective confidence intervals (CI). A causal mediation analysis was conducted to quantify the effect of socioeconomic deprivation mediated through medical care, stage at diagnosis, and treatment on HNC survival. Results The most socioeconomically deprived patients were found to have the highest hazard of dying when compared to the most affluent (Hazard Ratio: 1.25, 95% CI 1.17–1.34). The most deprived patients also had the worst 5-year age-adjusted relative survival (50.8%, 95% CI 48.5–53.0). Our mediation analysis showed that most of the effect of deprivation on survival was mediated through differential stage at diagnosis during the first 6 months after HNC diagnosis. As follow-up time increased, medical care, stage at diagnosis, and treatment played no role in mediating the effect of deprivation on survival. Conclusion This study confirms the survival disparity between affluent and deprived HNC patients in Germany. Considering data limitations, our results suggest that, within six months after HNC diagnosis, the elimination of differences in stage at diagnosis could reduce survival inequalities.

scholarly journals Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study

2015 ◽  
Vol 25 (6) ◽  
pp. 966-972 ◽  
Author(s):  
Pegdwende O. Dialla ◽  
Patrick Arveux ◽  
Samiratou Ouedraogo ◽  
Carole Pornet ◽  
Aurélie Bertaut ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Population Based ◽  
Cancer Stage ◽  
Stage At Diagnosis ◽  
Population Based Study ◽  
Geographic Disparities ◽  
Age Related

Impact of severe mental illness on cancer stage at diagnosis and subsequent mortality: A population-based register study

2018 ◽  
Vol 201 ◽  
pp. 62-69 ◽  
Author(s):  
A. Toender ◽  
T. Munk-Olsen ◽  
M. Vestergaard ◽  
J.T. Larsen ◽  
N.P. Suppli ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Population Based ◽  
Register Study ◽  
Cancer Stage ◽  
Stage At Diagnosis

scholarly journals Breast cancer survival in sub‐Saharan Africa by age, stage at diagnosis and human development index: A population‐based registry study

2019 ◽  
Vol 146 (5) ◽  
pp. 1208-1218 ◽  
Author(s):  
Walburga Y. Joko‐Fru ◽  
Adalberto Miranda‐Filho ◽  
Isabelle Soerjomataram ◽  
Marcel Egue ◽  
Marie‐Therese Akele‐Akpo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Human Development Index ◽  
Cancer Survival ◽  
Population Based ◽  
Breast Cancer Survival ◽  
Sub Saharan Africa ◽  
Stage At Diagnosis ◽  
Registry Study ◽  
Sub Saharan ◽  
Population Based Registry

scholarly journals Lung cancer survival and stage at diagnosis in Australia, Canada, Denmark, Norway, Sweden and the UK: a population-based study, 2004–2007

Thorax ◽  
2013 ◽  
Vol 68 (6) ◽  
pp. 551-564 ◽  
Author(s):  
Sarah Walters ◽  
Camille Maringe ◽  
Michel P Coleman ◽  
Michael D Peake ◽  
John Butler ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Survival ◽  
Population Based ◽  
Stage At Diagnosis ◽  
Population Based Study ◽  
The Uk ◽  
Lung Cancer Survival

scholarly journals Collection and Reporting of National Cancer Stage at Diagnosis Data in Australia (STaR Project)

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 67s-67s
Author(s):  
R. Long ◽  
A. Woods ◽  
C. Biondi ◽  
J. Luzuriaga ◽  
C. Anderiesz ◽  
...  
Keyword(s):  
Pediatric Cancer ◽  
Cancer Registries ◽  
Population Based ◽  
National Standard ◽  
Cancer Stage ◽  
Stage At Diagnosis ◽  
Business Rules ◽  
Cancer Outcomes ◽  
National Data ◽  
First Time

Background: Stage at diagnosis is an important prognostic factor for cancer, providing contextual information for interpreting population health indicators such as mortality from cancer and cancer survival. Australian population-based cancer registries (PBCRs) routinely collect information on cancer incidence and mortality. The need for high quality, comprehensive national data on stage at diagnosis to supplement these data are widely recognized in Australia. The collection and dissemination of quality national stage data will enhance the: • ability to better monitor cancer outcomes, inform cancer control policy; • understand variations across different populations; and • identify where further research and targeted strategies may be required to improve cancer outcomes. Linking data on cancer stage at diagnosis with other administrative cancer data will also allow for a better understanding of the relationship between stage at diagnosis, treatments received, patterns of cancer recurrence, and survival outcomes. Aim: To strengthen national data capacity by collecting and reporting cancer stage at diagnosis for Cancer Australia's Stage, Treatment and Recurrence (STaR) project. Methods: Working with state and territory population-based cancer registries (PBCRs) and the Australian Pediatric Cancer Registry, Cancer Australia supported the development and testing of Business Rules for the collection of national cancer stage at diagnosis for: • The top 5 incident cancers based on the Tumor, Node, and Metastasis (TNM) staging system. These rules were endorsed by the Australasian Association of Cancer Registries (AACR) as a national standard in May 2016; and • Childhood cancers, with a separate set of Business Rules for 16 childhood cancer types based on the Toronto Pediatric Cancer Stage Guidelines. These rules were supported by the AACR as a national standard. Results: Using the AACR-endorsed Business Rules, comprehensive national cancer stage at diagnosis data for the top 5 incident cancers (for 2011) have been collected in Australia for the first time. Over 90% of incidence cases were able to be assigned a value for registry-derived (RD) stage at diagnosis for melanoma (97%), prostate (97%), and female breast (94%) cancers. Lower staging completeness was found for colorectal cancers (88%), and for lung cancers (72%). Business Rules for the collection of stage at diagnosis data for pediatric cancers have also been developed; 93% of sample cases diagnosed in the period 2006-2010 were able to be staged, ranging from 84% for nonrhabdomyosarcoma to 100% for hepatoblastoma. Conclusion: The Business Rules enabled the uniform collection of cancer stage at diagnosis data for the first time in Australia. The collection of these data will allow for the linkage of stage at diagnosis to other sources of information, including patterns of treatments applied, and enable reporting of survival and recurrence outcomes by stage.

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