The Danish Prostate Cancer Database

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The Danish Prostate Cancer Database. / Nguyen-Nielsen, Mary; Høyer, Søren; Friis, Søren; Hansen, Steinbjørn; Brasso, Klaus; Jakobsen, Erik Breth; Moe, Mette; Larsson, Heidi; Søgaard, Mette; Nakano, Anne; Borre, Michael.

In: Clinical Epidemiology, Vol. 8, 25.10.2016, p. 649-653.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Nguyen-Nielsen, M, Høyer, S, Friis, S, Hansen, S, Brasso, K, Jakobsen, EB, Moe, M, Larsson, H, Søgaard, M, Nakano, A & Borre, M 2016, 'The Danish Prostate Cancer Database', Clinical Epidemiology, vol. 8, pp. 649-653. https://doi.org/10.2147/CLEP.S100256

APA

Nguyen-Nielsen, M., Høyer, S., Friis, S., Hansen, S., Brasso, K., Jakobsen, E. B., Moe, M., Larsson, H., Søgaard, M., Nakano, A., & Borre, M. (2016). The Danish Prostate Cancer Database. Clinical Epidemiology, 8, 649-653. https://doi.org/10.2147/CLEP.S100256

Vancouver

Nguyen-Nielsen M, Høyer S, Friis S, Hansen S, Brasso K, Jakobsen EB et al. The Danish Prostate Cancer Database. Clinical Epidemiology. 2016 Oct 25;8:649-653. https://doi.org/10.2147/CLEP.S100256

Author

Nguyen-Nielsen, Mary ; Høyer, Søren ; Friis, Søren ; Hansen, Steinbjørn ; Brasso, Klaus ; Jakobsen, Erik Breth ; Moe, Mette ; Larsson, Heidi ; Søgaard, Mette ; Nakano, Anne ; Borre, Michael. / The Danish Prostate Cancer Database. In: Clinical Epidemiology. 2016 ; Vol. 8. pp. 649-653.

Bibtex

@article{bbac5694791c4f2e96b7b2b8acd45657,
title = "The Danish Prostate Cancer Database",
abstract = "AIM OF DATABASE: The Danish Prostate Cancer Database (DAPROCAdata) is a nationwide clinical cancer database that has prospectively collected data on patients with incident prostate cancer in Denmark since February 2010. The overall aim of the DAPROCAdata is to improve the quality of prostate cancer care in Denmark by systematically collecting key clinical variables for the purposes of health care monitoring, quality improvement, and research.STUDY POPULATION: All Danish patients with histologically verified prostate cancer are included in the DAPROCAdata.MAIN VARIABLES: The DAPROCAdata registers clinical data and selected characteristics for patients with prostate cancer at diagnosis. Data are collected from the linkage of nationwide health registries and supplemented with online registration of key clinical variables by treating physicians at urological and oncological departments. Main variables include Gleason scores, cancer staging, prostate-specific antigen values, and therapeutic measures (active surveillance, surgery, radiotherapy, endocrine therapy, and chemotherapy).DESCRIPTIVE DATA: In total, 22,332 patients with prostate cancer were registered in DAPROCAdata as of April 2015. A key feature of DAPROCAdata is the routine collection of patient-reported outcome measures (PROM), including data on quality-of-life (pain levels, physical activity, sexual function, depression, urine and fecal incontinence) and lifestyle factors (smoking, alcohol consumption, and body mass index). PROM data are derived from questionnaires distributed at diagnosis and at 1-year and 3-year follow-up. Hitherto, the PROM data have been limited by low completeness (26% among newly diagnosed patients in 2014).CONCLUSION: DAPROCAdata is a comprehensive, yet still young clinical database. Efforts to improve data collection, data validity, and completeness are ongoing and of high priority.",
keywords = "Review, Journal Article",
author = "Mary Nguyen-Nielsen and S{\o}ren H{\o}yer and S{\o}ren Friis and Steinbj{\o}rn Hansen and Klaus Brasso and Jakobsen, {Erik Breth} and Mette Moe and Heidi Larsson and Mette S{\o}gaard and Anne Nakano and Michael Borre",
year = "2016",
month = oct,
day = "25",
doi = "10.2147/CLEP.S100256",
language = "English",
volume = "8",
pages = "649--653",
journal = "Clinical Epidemiology",
issn = "1179-1349",
publisher = "Dove Medical Press Ltd",

}

RIS

TY - JOUR

T1 - The Danish Prostate Cancer Database

AU - Nguyen-Nielsen, Mary

AU - Høyer, Søren

AU - Friis, Søren

AU - Hansen, Steinbjørn

AU - Brasso, Klaus

AU - Jakobsen, Erik Breth

AU - Moe, Mette

AU - Larsson, Heidi

AU - Søgaard, Mette

AU - Nakano, Anne

AU - Borre, Michael

PY - 2016/10/25

Y1 - 2016/10/25

N2 - AIM OF DATABASE: The Danish Prostate Cancer Database (DAPROCAdata) is a nationwide clinical cancer database that has prospectively collected data on patients with incident prostate cancer in Denmark since February 2010. The overall aim of the DAPROCAdata is to improve the quality of prostate cancer care in Denmark by systematically collecting key clinical variables for the purposes of health care monitoring, quality improvement, and research.STUDY POPULATION: All Danish patients with histologically verified prostate cancer are included in the DAPROCAdata.MAIN VARIABLES: The DAPROCAdata registers clinical data and selected characteristics for patients with prostate cancer at diagnosis. Data are collected from the linkage of nationwide health registries and supplemented with online registration of key clinical variables by treating physicians at urological and oncological departments. Main variables include Gleason scores, cancer staging, prostate-specific antigen values, and therapeutic measures (active surveillance, surgery, radiotherapy, endocrine therapy, and chemotherapy).DESCRIPTIVE DATA: In total, 22,332 patients with prostate cancer were registered in DAPROCAdata as of April 2015. A key feature of DAPROCAdata is the routine collection of patient-reported outcome measures (PROM), including data on quality-of-life (pain levels, physical activity, sexual function, depression, urine and fecal incontinence) and lifestyle factors (smoking, alcohol consumption, and body mass index). PROM data are derived from questionnaires distributed at diagnosis and at 1-year and 3-year follow-up. Hitherto, the PROM data have been limited by low completeness (26% among newly diagnosed patients in 2014).CONCLUSION: DAPROCAdata is a comprehensive, yet still young clinical database. Efforts to improve data collection, data validity, and completeness are ongoing and of high priority.

AB - AIM OF DATABASE: The Danish Prostate Cancer Database (DAPROCAdata) is a nationwide clinical cancer database that has prospectively collected data on patients with incident prostate cancer in Denmark since February 2010. The overall aim of the DAPROCAdata is to improve the quality of prostate cancer care in Denmark by systematically collecting key clinical variables for the purposes of health care monitoring, quality improvement, and research.STUDY POPULATION: All Danish patients with histologically verified prostate cancer are included in the DAPROCAdata.MAIN VARIABLES: The DAPROCAdata registers clinical data and selected characteristics for patients with prostate cancer at diagnosis. Data are collected from the linkage of nationwide health registries and supplemented with online registration of key clinical variables by treating physicians at urological and oncological departments. Main variables include Gleason scores, cancer staging, prostate-specific antigen values, and therapeutic measures (active surveillance, surgery, radiotherapy, endocrine therapy, and chemotherapy).DESCRIPTIVE DATA: In total, 22,332 patients with prostate cancer were registered in DAPROCAdata as of April 2015. A key feature of DAPROCAdata is the routine collection of patient-reported outcome measures (PROM), including data on quality-of-life (pain levels, physical activity, sexual function, depression, urine and fecal incontinence) and lifestyle factors (smoking, alcohol consumption, and body mass index). PROM data are derived from questionnaires distributed at diagnosis and at 1-year and 3-year follow-up. Hitherto, the PROM data have been limited by low completeness (26% among newly diagnosed patients in 2014).CONCLUSION: DAPROCAdata is a comprehensive, yet still young clinical database. Efforts to improve data collection, data validity, and completeness are ongoing and of high priority.

KW - Review

KW - Journal Article

U2 - 10.2147/CLEP.S100256

DO - 10.2147/CLEP.S100256

M3 - Journal article

C2 - 27843346

VL - 8

SP - 649

EP - 653

JO - Clinical Epidemiology

JF - Clinical Epidemiology

SN - 1179-1349

ER -

ID: 174599772