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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

334
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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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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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...
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Kaplan-Meier Approach01:24

Kaplan-Meier Approach

115
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
115
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  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Association Between Frailty And Overall Survival Among Older Adults With Hepatocellular Carcinoma.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Association Between Frailty And Overall Survival Among Older Adults With Hepatocellular Carcinoma.

Related Experiment Video

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
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Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

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Association between frailty and overall survival among older adults with hepatocellular carcinoma.

Ahmet Anil Ozluk1, Grant Richard Williams2, Chen Dai3

  • 1Division of Tulay Aktas Medical Oncology, Department of Medicine, Ege University, Bornova, Izmir, Turkey.

Journal of Geriatric Oncology
|August 12, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Frailty independently predicts worse survival in older adults with liver cancer (HCC). Identifying frailty before treatment can guide decisions and improve prognostication for these patients.

Keywords:
AgingFrailtyGeriatric assessmentGeriatric oncology

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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
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Area of Science:

  • Geriatric Medicine
  • Oncology
  • Hepatocellular Carcinoma Research

Background:

  • Older adults undergoing cancer treatment often face increased toxicities and mortality risks.
  • Frailty is increasingly recognized as a significant predictor of outcomes in older populations.

Purpose of the Study:

  • To evaluate the association between frailty and overall survival (OS) in patients aged 60 years and older diagnosed with hepatocellular carcinoma (HCC).

Main Methods:

  • A prospective registry of 116 older adults (≥60 years) with HCC was utilized.
  • Frailty was assessed using a 44-item frailty index, categorizing patients as robust, pre-frail, or frail.
  • Overall survival (OS) was analyzed using univariable and multivariable models, adjusting for confounders.
Hepatocellular cancer

Main Results:

  • Over half of the participants (50.1%) were classified as frail.
  • After adjusting for age, stage, etiology, and Child-Pugh class, frailty was significantly associated with worse OS (HR 2.6; p=0.04).

Conclusions:

  • Frailty is common in older adults with HCC and is an independent predictor of poorer survival.
  • Pre-treatment frailty assessment can inform treatment strategies and enhance prognostication for this patient group.