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

659
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...
659
Survival Tree01:19

Survival Tree

411
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
411
Survival Curves01:18

Survival Curves

688
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
688
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

770
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...
770
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

582
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...
582
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

608
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
608

You might also read

Related Articles

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

Sort by
Same author

Immune Aging is an Independent Risk Factor for Cardiovascular Disease.

bioRxiv : the preprint server for biology·2026
Same author

Amiodarone-related thyroid dysfunction and associated outcomes in patients with heart failure-A nationwide cohort study.

Journal of internal medicine·2026
Same author

Kidney function and acid-base status as gatekeepers of natriuretic and diuretic responsiveness in chronic HF: insights from the DEA-HF clinical trial.

European heart journal. Cardiovascular pharmacotherapy·2026
Same author

Seasonal variation in cardiovascular and cerebrovascular hospitalizations across climatic zones in Northern and Southern Israel.

BMC cardiovascular disorders·2026
Same author

The Impact of Meteorological Variables on Heart Failure Hospitalizations.

JACC. Advances·2025
Same author

Favorable outcomes of SGLT2 inhibitor use in pacemaker recipients: a population-based study.

Cardiovascular diabetology·2025

Related Experiment Video

Updated: Jan 26, 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

660

Surviving Cancer without a Broken Heart.

Oren Caspi1,2, Doron Aronson1,2

  • 1Department of Cardiology, Rambam Health Care Campus, Haifa, Israel.

Rambam Maimonides Medical Journal
|April 20, 2019
PubMed
Summary
This summary is machine-generated.

Chemotherapy can harm the heart (cardiotoxicity), a growing concern with new cancer drugs. Early detection and prevention strategies are crucial for cancer patients at high risk of heart failure.

More Related Videos

Chick Heart Invasion Assay for Testing the Invasiveness of Cancer Cells and the Activity of Potentially Anti-invasive Compounds
10:16

Chick Heart Invasion Assay for Testing the Invasiveness of Cancer Cells and the Activity of Potentially Anti-invasive Compounds

Published on: June 6, 2015

9.5K
Decellularization of Whole Human Heart Inside a Pressurized Pouch in an Inverted Orientation
06:28

Decellularization of Whole Human Heart Inside a Pressurized Pouch in an Inverted Orientation

Published on: November 26, 2018

11.8K

Related Experiment Videos

Last Updated: Jan 26, 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

660
Chick Heart Invasion Assay for Testing the Invasiveness of Cancer Cells and the Activity of Potentially Anti-invasive Compounds
10:16

Chick Heart Invasion Assay for Testing the Invasiveness of Cancer Cells and the Activity of Potentially Anti-invasive Compounds

Published on: June 6, 2015

9.5K
Decellularization of Whole Human Heart Inside a Pressurized Pouch in an Inverted Orientation
06:28

Decellularization of Whole Human Heart Inside a Pressurized Pouch in an Inverted Orientation

Published on: November 26, 2018

11.8K

Area of Science:

  • Cardiology
  • Oncology
  • Pharmacology

Background:

  • Chemotherapy-associated myocardial toxicity is a significant clinical challenge, impacting cancer patient care and survival.
  • Increased cancer survival rates highlight the growing importance of managing cardiovascular complications, including cardiotoxicity.
  • Cardiotoxicity presents complex therapeutic decisions, balancing cancer treatment benefits against potential harm.

Purpose of the Study:

  • To review the pathophysiology, risk factors, and management strategies for chemotherapy-induced cardiotoxicity.
  • To emphasize the need for prevention, screening, and surveillance in high-risk cancer patients.
  • To promote collaboration between cardiologists and oncologists for optimal patient outcomes.

Main Methods:

  • Comprehensive literature review on chemotherapy-induced cardiotoxicity.
  • Analysis of mechanisms, risk factors, and clinical implications.
  • Synthesis of current approaches to patient surveillance, prevention, and treatment.

Main Results:

  • Cardiotoxicity mechanisms vary among different chemotherapeutic agents (e.g., anthracyclines, TKIs, ICIs).
  • Individual patient risk is multifactorial, involving the chemotherapeutic regimen, cardiovascular risk factors, and susceptibility.
  • Multidisciplinary collaboration is essential for managing cardiotoxicity.

Conclusions:

  • Chemotherapy-induced cardiotoxicity requires proactive management strategies.
  • Prevention, early detection, and tailored treatment are key to mitigating cardiac sequelae.
  • A collaborative approach between oncology and cardiology is vital for improving cancer patient cardiovascular health.