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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...
Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

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,...
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,...
Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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...

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Related Experiment Videos

[Suicide mortality among cancer patients].

Emanuele Crocetti1, Carlotta Buzzoni, Adele Caldarella

  • 1Istituto per lo studio e la prevenzione oncologica (ISPO), Firenze, Italy. e.crocetti@ispo.toscana.it

Epidemiologia E Prevenzione
|June 19, 2012
PubMed
Summary

Cancer patients face a higher risk of suicide deaths compared to the general population, particularly those with poor prognosis or recently diagnosed. However, this excess suicide risk among cancer patients is decreasing over time.

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Area of Science:

  • Oncology
  • Epidemiology
  • Public Health

Context:

  • Cancer patients represent a vulnerable population with unique psychological and social challenges.
  • Understanding mortality patterns beyond cancer itself is crucial for comprehensive patient care.

Purpose:

  • To evaluate the excess risk of suicide deaths in a large cohort of cancer patients.
  • To identify specific subgroups of cancer patients with elevated suicide risk, including those with recent diagnoses.

Summary:

  • This population-based observational study analyzed 136,105 cancer patients from the Tuscany Region (1985-2005).
  • Overall, cancer patients exhibited a 47% higher standardized mortality ratio (SMR) for suicide (SMR=1.47).
  • Elevated risks were observed in men, older adults (≥55 years), those with poor prognosis cancers (SMR=2.27), and within the first year post-diagnosis (SMR=2.87).
  • For patients diagnosed 2000-2005, the SMR was 1.19, with persistent high risk for age 55-64 (SMR=2.27), poor prognosis (SMR=3.23), and the first year post-diagnosis (SMR=2.64).
  • Trend analysis indicated a significant decrease in the excess suicide risk over time (p=0.042).

Impact:

  • Despite a decreasing trend, suicide prevention remains a priority for cancer patients due to potential depressive etiology and impact on families.
  • The findings suggest improved palliative care systems may contribute to reduced suicide risk.
  • Highlights the need for continued mental health support and monitoring within oncology care.