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Use of classical and novel biomarkers as prognostic risk factors for prostate cancer: a systematic review |
Sutcliffe P, Hummel S, Simpson E, Young T, Rees A, Wilkinson A, Hamdy F, Clarke N, Staffurth J |
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Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation Sutcliffe P, Hummel S, Simpson E, Young T, Rees A, Wilkinson A, Hamdy F, Clarke N, Staffurth J. Use of classical and novel biomarkers as prognostic risk factors for prostate cancer: a systematic review. Health Technology Assessment 2009; 13(5): 1-260 Authors' objectives <p>To provide an evidence-based perspective on the prognostic value of novel markers in localised prostate cancer and to identify the best prognostic model including the three classical markers and investigate whether models incorporating novel markers are better.</p> Authors' conclusions This review highlighted the poor quality and heterogeneity of studies, which render much of the results inconclusive. It also pinpointed the small proportion of models reported in the literature that are based on patient cohorts with a mean or median followup of at least 5 years, thus making long-term predictions unreliable. PSA velocity, however, stood out in terms of the strength of the evidence supporting its prognostic value and the relatively high hazard ratios. There is great interest in PSA velocity as a monitoring tool for activesurveillance but there is as yet no consensus on how it should be used and, in particular, what threshold should indicate the need for radical treatment Indexing Status Subject indexing assigned by CRD MeSH Biomarkers /analysis; Biomarkers, Tumor /analysis; Male; Prognosis; Prostatic Neoplasms /diagnosis /epidemiology /etiology; Risk Factors Language Published English Country of organisation England English summary An English language summary is available. Address for correspondence NETSCC, Health Technology Assessment, Alpha House, University of Southampton Science Park, Southampton, SO16 7NS UK Tel: +44 23 8059 5586 Email: hta@hta.ac.uk AccessionNumber 32007000337 Date bibliographic record published 15/04/2007 Date abstract record published 15/04/2007 |
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