Literature DB >> 11412219

The independent prognostic value of comorbidity among men aged < 75 years with localized prostate cancer: a population-based study.

P N Post1, B E Hansen, P J Kil, M L Janssen-Heijnen, J W Coebergh.   

Abstract

OBJECTIVE: To investigate which prognostic factors apply in patients with localized prostate cancer diagnosed after the introduction of prostate-specific antigen (PSA) testing, as comorbidity has significant prognostic value for patients who were diagnosed with localized prostate cancer in the 1970s. Patients and methods Using the Eindhoven Cancer Registry, we assessed a population-based cohort of patients aged < 75 years with localized (T1-T3M0) prostate cancer diagnosed between 1993 and 1995 in a defined area with 2 million inhabitants in the southern Netherlands (n = 894). After a mean follow-up of 2.9 years, overall survival was modelled by Cox regression analyses.
RESULTS: Comorbidity was the most important prognostic factor, especially for those aged < 70 years; at 60 years old, patients with one concomitant disease were twice as likely to die than those with no comorbidity (95% confidence interval, CI, 1.0-4.3), whereas the hazard ratio (HR) was 7.2 (3.1-16.6) for two or more diseases. This was not caused by a reduced use of curative treatment for these patients. At the age of 74 years, comorbidity was no longer a significant prognostic factor. Poor differentiation of the tumour was also an important prognostic factor at all ages; this became increasingly apparent 2 years after diagnosis (HR 3.4, CI 1.5-7.7). Conclusion Comorbidity had a decisive influence on the prognosis for patients with localized prostate cancer. Because this effect was stronger in younger patients the assessment of comorbidity seems most important when evaluating the risk of early death.

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Year:  2001        PMID: 11412219     DOI: 10.1046/j.1464-410x.2001.02189.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  16 in total

1.  [The significance of comorbidity and age in radical prostatectomy].

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2.  The influence of comorbidities on overall survival among older women diagnosed with breast cancer.

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3.  Self-rated health as a tool for estimating health-adjusted life expectancy among patients newly diagnosed with localized prostate cancer: a preliminary study.

Authors:  Ravinder Mohan; Hind A Beydoun; May A Beydoun; Myra Barnes-Eley; John Davis; Raymond Lance; Paul Schellhammer
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4.  Prognostic impact of comorbidity in patients with bladder cancer.

Authors:  Ifeanyichukwu I Megwalu; Anna Vlahiotis; Mohamed Radwan; Jay F Piccirillo; Adam S Kibel
Journal:  Eur Urol       Date:  2007-11-05       Impact factor: 20.096

5.  A 50% higher prevalence of life-shortening chronic conditions among cancer patients with low socioeconomic status.

Authors:  W J Louwman; M J Aarts; S Houterman; F J van Lenthe; J W W Coebergh; M L G Janssen-Heijnen
Journal:  Br J Cancer       Date:  2010-10-26       Impact factor: 7.640

6.  Multilevel Factors Associated With Overall Mortality for Men Diagnosed With Prostate Cancer in Florida.

Authors:  Hong Xiao; Fei Tan; Pierre Goovaerts; Askal Ali; Georges Adunlin; Clement K Gwede; Youjie Huang
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7.  Impact of comorbidity on overall survival in patients surgically treated for renal cell carcinoma.

Authors:  David A Berger; Ifeanyichukwu I Megwalu; Anna Vlahiotis; Mohamed H Radwan; Maria F Serrano; Peter A Humphrey; Jay F Piccirillo; Adam S Kibel
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Review 8.  Does radical treatment have a role in the management of low-risk prostate cancer? The place for brachytherapy and external beam radiotherapy.

Authors:  Scott G Williams; Anthony L Zietman
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9.  Factors associated with time-to-treatment of prostate cancer in Florida.

Authors:  Hong Xiao; Fei Tan; Pierre Goovaerts; Georges Adunlin; Askal Ali; Youjie Huang; Clement K Gwede
Journal:  J Health Care Poor Underserved       Date:  2013-11

10.  The influence of cardiovascular morbidity on the prognosis in prostate cancer. Experience from a 12-year nationwide Danish population-based cohort study.

Authors:  Christina G Jespersen; Mette Nørgaard; Truls E Bjerklund Johansen; Mette Søgaard; Michael Borre
Journal:  BMC Cancer       Date:  2011-12-15       Impact factor: 4.430

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