Long-term survival after treatment for Hodgkin's disease (1973-2002): improved survival with successive 10-year

E M Bessell1, G Bouliotis, S Armstrong

  • 1Department of Clinical Oncology, Nottingham City Hospital, Hucknall Road, Nottingham NG5 1PB, UK. ebessell@hotmail.co.uk

Insights

Survival rates for Hodgkin's lymphoma have significantly improved over three decades due to treatment advances. This study analyzed 745 patients, showing increased 15-year survival from 57% to 83% between 1973 and 2002.

Area of Science:

  • Oncology
  • Epidemiology
  • Biostatistics

Background:

  • The Nottinghamshire Lymphoma Registry tracked lymphoma patients from 1973.
  • A defined population of 1.1 million allowed for cohort analysis of Hodgkin's disease treatment outcomes.
  • Three 10-year cohorts (1973-1982, 1983-1992, 1993-2002) were studied.

Purpose of the Study:

  • To compare survival times across three distinct patient cohorts.
  • To identify prognostic factors influencing Hodgkin's disease outcomes.
  • To estimate relative survival rates over time.

Main Methods:

  • Analysis of survival data for 745 patients diagnosed between 1973 and 2002.
  • Kaplan-Meier method and parametric survival models used for survivorship estimation.
  • Accelerated failure-time regression applied for multivariate analysis.

Main Results:

  • Overall 1-, 5-, and 15-year disease-specific survival rates were 87%, 77%, and 70%, respectively.
  • Significant increase in 15-year survival: 57% (1973-1982) to 83% (1993-2002) (P<0.001).
  • The 20-year actuarial risk of a second malignancy was 12.4% for the earliest cohort and 18.8% for the second.

Conclusions:

  • Treatment advancements have led to significantly longer survival for Hodgkin's disease patients.
  • Effective management of treatment toxicities has contributed to improved patient outcomes.
  • Long-term survival rates demonstrate a positive trend in Hodgkin's disease management over three decades.
Abstract

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...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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...
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...