Datenqualität oder Unterschiede in der onkologischen Versorgung? - Berichtsstandards für Überlebenszeitanalysen mit Krebsregisterdaten

Nennecke, Alice; Barnes, Benjamin; Brenner, Hermann; Eberle, Andrea; Emrich, Katharina; Eisemann, Nora; Geiss, Karla; Hentschel, Stefan; Holleczek, Bernd; Kraywinkel, Klaus; Stabenow, Roland; Hw, Hense

doi:10.1055/s-0032-1311622

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…Cases detected by autopsy or death certificate only (DCO)were excluded from survival analysis. 17 We excluded patients aged under 15 years at first diagnosis as well due to considerable differing prognosis of children and adults. 17 Patients with multiple primary cancers, localised in different sites, were kept in the study.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…17 We excluded patients aged under 15 years at first diagnosis as well due to considerable differing prognosis of children and adults. 17 Patients with multiple primary cancers, localised in different sites, were kept in the study. 18 Relative survival can be considered as the survival from cancer after adjusting for other causes of death and is defined as the ratio of the observed survival to the expected survival during a specified interval.…”

Section: Statistical Analysesmentioning

confidence: 99%

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Trends in cancer incidence and survival in the Augsburg study region—results from the Augsburg cancer registry

et al. 2020

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ObjectivesKnowledge about time trends of cancer incidence and cancer survival in a defined region is an essential prerequisite for the planning of regional healthcare infrastructure. The aim of the study was to provide population-based analyses of all common tumour sites to assess the cancer burden in the Augsburg study region.SettingTotal population of the study region of Augsburg (668 522 residents), Southern Germany.ParticipantsThe data obtained from the Cancer Registry Augsburg comprised 37 487 incident cases of malignant tumours (19 313 men and 18 174 women) diagnosed between 2005 and 2016 in the Augsburg region’s resident population.Primary and secondary outcome measuresWe calculated sex-specific, age-standardised incidence rates and annual percent change to assess time trends. In men and in women, 3-year and 5-year relative survival was calculated and results were compared with the latest German estimates. Survival trends were presented for the most common cancers only.ResultsDecreasing age-standardised incidence rates were observed for prostate cancer and for colorectal cancer in men. For oropharyngeal cancer, rates declined in men, but significantly increased in women. Incidence for female breast cancer remained stable. Five-year relative survival ranged between 6.4% (95% CI: 4.1% to 10.1%) for pancreatic cancer and 97.7% (95% CI: 96.0% to 99.4%) for prostate cancer in men and between 10.2% (95% CI: 7.1% to 14.6%) for pancreatic cancer and 96.6% (95% CI: 93.6% to 99.6%) for malignant melanoma in women. Trends in 3-year survival of the five most common tumour sites in men showed a significant increase for lung and oropharyngeal cancer. In women, continuously rising survival trends were observed for breast cancer.ConclusionsSurvival of cancer patients in the Augsburg study region was largely concordant with the situation in Germany as a whole, while incidence showed slight deviations in some cancer sites. Regional evaluations on cancer survival are a valuable instrument for identifying deficits and determining advances in oncological health management.

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Section: Statistical Analysesmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

Trends in cancer incidence and survival in the Augsburg study region—results from the Augsburg cancer registry

et al. 2020

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“…Evaluation of data quality prior to analysis is a critical issue for sound analysis, unbiased results, and meaningful interpretation. Guidelines for the use of data quality criteria and their reporting have been exemplarily described by the GEKID Cancer Survival Group [30,31].…”

Section: Information Bias Due To Record Linkage Errorsmentioning

confidence: 99%

Data from Population-based Cancer Registration for Secondary Data Analysis: Methodological Challenges and Perspectives

et al. 2019

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Population-based cancer registries have a long-standing role in cancer monitoring. Scientific use of cancer registry data is one important purpose of cancer registration, but use of cancer registry data is not restricted to cancer registries. Cancer registration in Germany is currently heading towards population-based collection of detailed clinical data. This development together with additional options for record linkage and long-term follow-up will offer new opportunities for health services and outcome research. Both regional population-based registries and the German Centre for Cancer Registry Data (ZfKD) at the Robert Koch-Institute as well as international cancer registries and consortia or organizations may provide external researchers access to individual or aggregate level data for secondary data analysis. In this review, we elaborate on the access to cancer registry data for research purposes, availability of specific data items, and options for data linkage with external data sources. We also discuss as well as on limitations in data availability and quality, and describe typical biases in design and analysis.

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Datenqualität oder Unterschiede in der onkologischen Versorgung? - Berichtsstandards für Überlebenszeitanalysen mit Krebsregisterdaten

Abstract: Referring to the "standards of reporting concerning population-based cancer survival analyses" introduced by GEKID there is a proposal on data transparency on hand, which might contribute substantially to the assessability of outcome quality in oncological care.

Cited by 2 publications

References 1 publication

Trends in cancer incidence and survival in the Augsburg study region—results from the Augsburg cancer registry

Trends in cancer incidence and survival in the Augsburg study region—results from the Augsburg cancer registry

Data from Population-based Cancer Registration for Secondary Data Analysis: Methodological Challenges and Perspectives

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