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Cancer Survival Analysis01:21

Cancer Survival Analysis

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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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  11. A Latent Profile And Network Analysis Of Social Isolation In Colorectal Cancer Patients Undergoing Chemotherapy

A latent profile and network analysis of social isolation in colorectal cancer patients undergoing chemotherapy

Yiting Yang1, Jiajia Lu2, Yajun Dong1

  • 1Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.

Asia-Pacific Journal of Oncology Nursing
|July 18, 2025

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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
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View abstract on PubMed

Summary
This summary is machine-generated.

This study identified two social isolation subgroups in colorectal cancer patients: low and high. Loneliness is the core issue, and family functioning significantly impacts social isolation levels.

Area of Science:

  • Oncology
  • Psychosocial Oncology
  • Cancer Care

Background:

  • Social isolation is a significant concern for patients undergoing chemotherapy.
  • Understanding distinct subgroups of social isolation is crucial for targeted interventions.
  • Colorectal cancer patients undergoing chemotherapy experience unique psychosocial challenges.

Purpose of the Study:

  • To identify and characterize subgroups of social isolation in colorectal cancer patients.
  • To determine the cut-off value and core dimensions of social isolation.
  • To investigate factors influencing social isolation experiences in this patient population.

Main Methods:

  • Cross-sectional survey of 256 colorectal cancer patients.
  • Latent profile analysis and receiver operating characteristic curve analyses were used.
Keywords:
ChemotherapyColorectal cancerInfluencing factorsLatent profile analysis

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  • Network analysis explored dimensions and interrelationships of social isolation factors.

    • Main Results:

    • Two subgroups identified: Low-Social Isolation and High-Social Isolation (score ≥ 38).
    • Loneliness emerged as the central dimension of social isolation.
    • Family functioning significantly impacted elevated social isolation levels.

    Conclusions:

    • Provides tools for identifying high social isolation in cancer patients.
    • Highlights loneliness as a critical intervention target.
    • Emphasizes family functioning as a key component in social isolation strategies.
    Network analysis
    Social isolation