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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Related Experiment Video

Updated: Mar 2, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Cancer screening is not only about numbers.

B J Knottnerus1

  • 1Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

European Journal of Cancer Care
|May 11, 2017
PubMed
Summary

Personal factors significantly influence cancer screening decisions, beyond statistics. Healthcare providers should explore individual beliefs and fears to support informed choices in cancer screening participation.

Area of Science:

  • Oncology
  • Medical Ethics
  • Health Psychology

Background:

  • Cancer screening decisions involve statistical data and personal considerations.
  • Individuals weigh non-statistical factors, such as beliefs and fears, in screening participation.
  • Healthcare professionals play a crucial role in guiding patients through complex screening choices.

Purpose of the Study:

  • To highlight the importance of personal factors in cancer screening decisions.
  • To emphasize the role of healthcare professionals in addressing individual patient beliefs and fears.
  • To advocate for research that explores individual motivations beyond statistical interpretation.

Main Methods:

  • Qualitative analysis of decision-making factors in cancer screening.
Keywords:
communicationinformationscreening

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  • Exploration of patient-reported beliefs, fears, and preferences.
  • Examination of healthcare provider responsibilities in patient counseling.

    • Main Results:

    • Personal beliefs, fears, and preferences are as important as statistical data for individuals.
    • Healthcare providers need to identify and clarify patient values and their own biases.
    • Statistical reporting alone is insufficient; understanding individual motives is essential.

    Conclusions:

    • Effective cancer screening requires a personalized approach, integrating statistical evidence with individual patient values.
    • Healthcare professionals must facilitate informed decision-making by addressing the unique psychological and personal aspects of screening.
    • Future research should prioritize understanding the qualitative factors influencing screening behavior to complement quantitative data.