Longitudinal prostate-specific antigen reference ranges: Choosing the underlying model of age-related changes

被引：5

作者：

Simpkin, Andrew J. ^{[1
]}

Metcalfe, Chris ^{[1
]}

Martin, Richard M. ^{[1
]}

Lane, J. Athene ^{[1
]}

Donovan, Jenny L. ^{[1
]}

Hamdy, Freddie C. ^{[2
]}

Neal, David E. ^{[3
]}

Tilling, Kate ^{[1
]}

机构：

[1] Univ Bristol, Sch Social & Community Med, Canynge Hall,39 Whatley Rd, Bristol BS8 2PS, Avon, England

[2] Univ Oxford, John Radcliffe Hosp, Oxford, England

[3] Cambridge Res Inst Canc Res, Cambridge, England

来源：

STATISTICAL METHODS IN MEDICAL RESEARCH | 2016年 / 25卷 / 05期

关键词：

fractional polynomials; functional principal components; linear mixed models; longitudinal data; prostate-specific antigen; regression splines; FRACTIONAL POLYNOMIALS; ACTIVE SURVEILLANCE; CANCER; GROWTH; WEIGHT; MEN;

D O I：

10.1177/0962280213503928

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Serial measurements of prostate-specific antigen (PSA) are used as a biomarker for men diagnosed with prostate cancer following an active monitoring programme. Distinguishing pathological changes from natural age-related changes is not straightforward. Here, we compare four approaches to modelling age-related change in PSA with the aim of developing reference ranges for repeated measures of PSA. A suitable model for PSA reference ranges must satisfy two criteria. First, it must offer an accurate description of the trend of PSA on average and in individuals. Second, it must be able to make accurate predictions about new PSA observations for an individual and about the entire PSA trajectory for a new individual.

引用

页码：1875 / 1891

页数：17

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