Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Holistic needs assessment and care plans for women with gynaecological cancer: do they improve cancer-specific health-related quality of life? A randomised controlled trial using mixed methods.

BMJ supportive & palliative care·2017
Same author

Influencing organisational culture: a leadership challenge.

British journal of nursing (Mark Allen Publishing)·2015
Same author

Inspiring cancer nursing in the UK and beyond.

British journal of nursing (Mark Allen Publishing)·2014
Same author

'We treat the person, not the tumour'.

Nursing times·2004

Related Experiment Video

Updated: Jul 6, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Cancer survivorship: evolutionary concept analysis.

Natalie Doyle1

  • 1Royal Marsden NHS Foundation Trust, London, UK. natalie.doyle@rmh.nhs.uk

Journal of Advanced Nursing
|April 1, 2008
PubMed
Summary

Cancer survivorship in adults is a complex, life-changing process beginning at diagnosis, encompassing physical, psychological, social, and spiritual health. Understanding this evolving concept is crucial for healthcare professionals and future research.

Area of Science:

  • Oncology
  • Nursing
  • Sociology

Background:

  • The concept of cancer survivorship lacks a precise definition across disciplines.
  • A clear definition is essential for robust theoretical development and research in cancer survivorship.
  • Substantive research into the lived experience of cancer survival is needed.

Purpose of the Study:

  • To conduct a concept analysis of cancer survivorship in adults.
  • To clarify the definition and scope of cancer survivorship.
  • To establish a foundational understanding for future research and practice.

Main Methods:

  • Literature review of English-language publications (1994-2006) and seminal works.
  • Application of Rodgers' evolutionary concept analysis method.

Related Experiment Videos

Last Updated: Jul 6, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

  • Inclusion of sociocultural, temporal, lay, and emic perspectives.
  • Main Results:

    • Cancer survivorship is a dynamic process initiated by diagnosis, marked by uncertainty.
    • It represents a unique yet universally experienced, life-altering duality of positive and negative aspects.
    • Consequences are categorized into physical, psychological, social, and spiritual health domains.

    Conclusions:

    • Cancer survivorship is a significant and growing global reality for millions.
    • Enhanced understanding of the patient experience benefits nurses in theory and practice.
    • Concept clarification provides a heuristic for advancing cancer survivorship research and theory generation.