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Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
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Model-based patterns in prostate cancer mortality worldwide.

F Fontes1, M Severo, C Castro

  • 1Institute of Public Health of the University of Porto, Porto, Portugal.

British Journal of Cancer
|May 11, 2013
PubMed
Summary
This summary is machine-generated.

Prostate cancer mortality trends vary globally. A model identified three distinct patterns: no decline, later decline, and earlier decline, offering insights into global prostate cancer mortality dynamics.

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Area of Science:

  • Oncology
  • Epidemiology
  • Biostatistics

Background:

  • Global prostate cancer mortality shows decreasing trends in high-income nations.
  • Previous analyses primarily used geographical criteria to study mortality trends.
  • A model-based approach is needed to identify broader patterns in prostate cancer mortality time trends.

Purpose of the Study:

  • To identify distinct patterns in prostate cancer mortality time trends across diverse countries.
  • To utilize a model-based clustering approach for analyzing mortality variations.
  • To characterize identified patterns based on geographical distribution, economic status, and mortality/incidence ratios.

Main Methods:

  • Applied model-based clustering to prostate cancer mortality data from 1980-2010.
  • Included 37 European, 5 non-European high-income, and 4 emerging economy countries.
  • Analyzed geographical distribution, gross national income, and mortality/incidence ratio trends.

Main Results:

  • Identified three clusters representing distinct prostate cancer mortality patterns: no decline, later decline (late 1990s), and earlier decline (early 1990s).
  • Clusters showed homogeneity in prostate cancer mortality/incidence ratio variations.
  • Clusters exhibited heterogeneity in geographical distribution and gross national income.

Conclusions:

  • A general model describing three main patterns of prostate cancer mortality trends worldwide has been established.
  • This model aids in the interpretation of global prostate cancer mortality dynamics.
  • The findings highlight variations in the timing and nature of mortality declines across countries.