The development of nomograms for stratification of men at risk of prostate cancer prior to prostate biopsy

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The development of nomograms for stratification of men at risk of prostate cancer prior to prostate biopsy. / Schmid, Marianne; Hansen, Jens; Rink, Michael; Fisch, Margit; Chun, Felix.

In: BIOMARK MED, Vol. 7, No. 6, 01.12.2013, p. 843-50.

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@article{5974fe76469e41ae96cedfe5c6e0b45c,
title = "The development of nomograms for stratification of men at risk of prostate cancer prior to prostate biopsy",
abstract = "A main limitation of early prostate cancer (PCa) detection due to elevated PSA levels is caused by the low specificity of PSA, which is associated with a high proportion of men detected with nonmalignant findings at first or subsequent prostate biopsy (PBX). Multivariate prediction models, such as nomograms, have been developed, providing a more accurate method to prospectively determine the risk of a positive PBX. Combining established clinical risk factors with novel diagnostic markers of PCa appears promising to further improve predictive accuracy estimates. Ideally, these nomograms should be capable of identifying PCa at PBX without missing men with high-grade PCa, and preventing a significant proportion of men without, or with insignificant, PCa from undergoing PBX. The intention is to reduce disease morbidity and mortality by detecting significant PCa at an early stage, and at the same time to avoid overdiagnosis as well as overintervention.",
author = "Marianne Schmid and Jens Hansen and Michael Rink and Margit Fisch and Felix Chun",
year = "2013",
month = dec,
day = "1",
doi = "10.2217/bmm.13.114",
language = "English",
volume = "7",
pages = "843--50",
journal = "BIOMARK MED",
issn = "1752-0363",
publisher = "Future Medicine Ltd",
number = "6",

}

RIS

TY - JOUR

T1 - The development of nomograms for stratification of men at risk of prostate cancer prior to prostate biopsy

AU - Schmid, Marianne

AU - Hansen, Jens

AU - Rink, Michael

AU - Fisch, Margit

AU - Chun, Felix

PY - 2013/12/1

Y1 - 2013/12/1

N2 - A main limitation of early prostate cancer (PCa) detection due to elevated PSA levels is caused by the low specificity of PSA, which is associated with a high proportion of men detected with nonmalignant findings at first or subsequent prostate biopsy (PBX). Multivariate prediction models, such as nomograms, have been developed, providing a more accurate method to prospectively determine the risk of a positive PBX. Combining established clinical risk factors with novel diagnostic markers of PCa appears promising to further improve predictive accuracy estimates. Ideally, these nomograms should be capable of identifying PCa at PBX without missing men with high-grade PCa, and preventing a significant proportion of men without, or with insignificant, PCa from undergoing PBX. The intention is to reduce disease morbidity and mortality by detecting significant PCa at an early stage, and at the same time to avoid overdiagnosis as well as overintervention.

AB - A main limitation of early prostate cancer (PCa) detection due to elevated PSA levels is caused by the low specificity of PSA, which is associated with a high proportion of men detected with nonmalignant findings at first or subsequent prostate biopsy (PBX). Multivariate prediction models, such as nomograms, have been developed, providing a more accurate method to prospectively determine the risk of a positive PBX. Combining established clinical risk factors with novel diagnostic markers of PCa appears promising to further improve predictive accuracy estimates. Ideally, these nomograms should be capable of identifying PCa at PBX without missing men with high-grade PCa, and preventing a significant proportion of men without, or with insignificant, PCa from undergoing PBX. The intention is to reduce disease morbidity and mortality by detecting significant PCa at an early stage, and at the same time to avoid overdiagnosis as well as overintervention.

U2 - 10.2217/bmm.13.114

DO - 10.2217/bmm.13.114

M3 - SCORING: Journal article

C2 - 24266817

VL - 7

SP - 843

EP - 850

JO - BIOMARK MED

JF - BIOMARK MED

SN - 1752-0363

IS - 6

ER -