Literature DB >> 15948137

Assessment of intra-individual variation in prostate-specific antigen levels in a biennial randomized prostate cancer screening program in Sweden.

Laila Bruun1, Charlotte Becker, Jonas Hugosson, Hans Lilja, Anders Christensson.   

Abstract

BACKGROUND: The degree of variability in prostate-specific antigen (PSA) measurements is important for interpreting test results in screening programs, and particularly for interpreting the significance of changes between repeated tests. This study aimed to determine the long-term intra-individual variation for PSA in healthy men.
METHODS: A randomly selected cohort of men in a biennial prostate cancer screening program (ERSPC) conducted in Sweden from 1995-1996 to 2001-2002. We studied men who had total PSA (tPSA) levels < 2.0 ng/ml in 2001-2002. This included 791 men with tPSA < or = 0.61 ng/ml (group A), 1,542 men with tPSA < or = 0.99 ng/ml (group B), and 1,029 men with tPSA 1.00-1.99 ng/ml (group C). The intra-individual variability of free PSA (fPSA) and tPSA was assessed by calculating coefficients of variation (CV) for each individual's PSA measurements from the first and second round of screening (1995-1996 and 1997-1998).
RESULTS: Intra-individual CV (geometric means) for tPSA were 13.7%, 12.7%, and 11.5% in groups A, B, and C, respectively. Corresponding CVs for fPSA were significantly lower, ranging from 12.1% to 10.4%. The estimated biological variation of tPSA and fPSA in groups A to C were 12.5%, 11.4%, 10.0% and 9.7%, 7.8%, 7.5%, respectively.
CONCLUSIONS: In healthy men with PSA levels less than 2 ng/ml, the natural long-term variability for tPSA was less than 14%, and with 95% probability, a change in tPSA greater than 30% indicates a change beyond normal random variation. Copyright 2005 Wiley-Liss, Inc

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Year:  2005        PMID: 15948137      PMCID: PMC1951509          DOI: 10.1002/pros.20286

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  25 in total

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2.  Statistical methods for assessing agreement between two methods of clinical measurement.

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3.  Significance and metabolism of complexed and noncomplexed prostate specific antigen forms, and human glandular kallikrein 2 in clinically localized prostate cancer before and after radical prostatectomy.

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4.  Use of early PSA velocity to predict eventual abnormal PSA values in men at risk for prostate cancer.

Authors:  R H Riffenburgh; C L Amling
Journal:  Prostate Cancer Prostatic Dis       Date:  2003       Impact factor: 5.554

5.  Dual-label one-step immunoassay for simultaneous measurement of free and total prostate-specific antigen concentrations and ratios in serum.

Authors:  K Mitrunen; K Pettersson; T Piironen; T Björk; H Lilja; T Lövgren
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6.  Prostate-specific antigen velocity at low prostate-specific antigen levels as screening tool for prostate cancer: results of second screening round of ERSPC (ROTTERDAM).

Authors:  M J Roobol; R Kranse; H J de Koning; F H Schröder
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7.  Variation of serum prostate-specific antigen levels: an evaluation of year-to-year fluctuations.

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8.  Day to day changes in free and total PSA: significance of biological variation.

Authors:  R G Nixon; M H Wener; K M Smith; R E Parson; A B Blase; M K Brawer
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9.  Rapid elimination by glomerular filtration of free prostate specific antigen and human kallikrein 2 after renal transplantation.

Authors:  Laila Bruun; Henrik Ekberg; Thomas Bjørk; Hans Lilja; Peter Høglund; Anders Christensson
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10.  Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Authors:  Ian M Thompson; Donna K Pauler; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Howard L Parnes; Lori M Minasian; Leslie G Ford; Scott M Lippman; E David Crawford; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

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  5 in total

1.  Psychological impact of serial prostate-specific antigen tests in Japanese men waiting for prostate biopsy.

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Review 2.  Tumor markers in prostate cancer I: blood-based markers.

Authors:  Shahrokh F Shariat; Axel Semjonow; Hans Lilja; Caroline Savage; Andrew J Vickers; Anders Bjartell
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3.  Advancing Traditional Prostate-specific Antigen Kinetics in the Detection of Prostate Cancer: A Machine Learning Model.

Authors:  Marlon Perera; Lewis Smith; Ian Thompson; Geoff Breemer; Nathan Papa; Manish I Patel; Peter Swindle; Elliot Smith
Journal:  Eur Urol Focus       Date:  2021-12-14

Review 4.  Screening for prostate cancer: an update.

Authors:  Shahrokh F Shariat; Peter T Scardino; Hans Lilja
Journal:  Can J Urol       Date:  2008-12       Impact factor: 1.344

5.  A Review on the Clinical Utility of PSA in Cancer Prostate.

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Journal:  Indian J Surg Oncol       Date:  2012-03-03
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