Literature DB >> 12671538

Prostate cancer in Italy before and during the 'PSA era': survival trend and prognostic determinants.

A Quaglia1, M Vercelli, A Puppo, C Casella, E Artioli, E Crocetti, F Falcini, V Ramazzotti, G Tagliabue.   

Abstract

The aim of the study was to investigate the variations in prostate cancer prognosis during a period of major diagnostic change, such as the introduction of the prostate-specific antigen (PSA) test. Data were provided by 14 Italian cancer registries (CRs). Incidence and follow-up information was collected for patients diagnosed from 1978 to 1994. Relative survival was computed taking into account incidence period, age, tumour stage and grade at diagnosis. A multivariate analysis was carried out to evaluate the independent simultaneous effect on survival of some prognostic determinants. A large geographical variability was observed: in 1993-1994 Italian survival rates ranged from 76% to 52%, with a north-south gradient. A striking prognostic improvement (up to +27 percentage points) between the late 1980s and the early 1990s occurred in almost all CRs, particularly with regard to younger patients. Multivariate analysis showed a strong influence of incidence period on survival, also after correction by tumour stage. The slowdown of metastatic cancers suggests that the survival improvement could be due both to the introduction of an effective opportunistic screening and to a quantitative change in the application of clinical treatment, even if the effect of the lead-time bias phenomenon has to be taken into account.

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Year:  2003        PMID: 12671538     DOI: 10.1097/00008469-200304000-00008

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  4 in total

1.  Joint spatial survival modeling for the age at diagnosis and the vital outcome of prostate cancer.

Authors:  Huafeng Zhou; Andrew B Lawson; James R Hebert; Elizabeth H Slate; Elizabeth G Hill
Journal:  Stat Med       Date:  2008-08-15       Impact factor: 2.373

2.  Quantifying lead-time bias in risk factor studies of cancer through simulation.

Authors:  Rick J Jansen; Bruce H Alexander; Kristin E Anderson; Timothy R Church
Journal:  Ann Epidemiol       Date:  2013-08-27       Impact factor: 3.797

3.  Variation in Prostate-Specific Antigen Testing Rates and Prostate Cancer Treatments and Outcomes in a National 20-Year Cohort.

Authors:  Oskar Bergengren; Marcus Westerberg; Lars Holmberg; Pär Stattin; Anna Bill-Axelson; Hans Garmo
Journal:  JAMA Netw Open       Date:  2021-05-03

4.  Adherence to Mediterranean Diet, Physical Activity and Survival after Prostate Cancer Diagnosis.

Authors:  Matteo Di Maso; Livia S A Augustin; Federica Toffolutti; Carmen Stocco; Luigino Dal Maso; David J A Jenkins; Neil E Fleshner; Diego Serraino; Jerry Polesel
Journal:  Nutrients       Date:  2021-01-16       Impact factor: 5.717

  4 in total

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