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

345
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...
345
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

177
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...
177
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

133
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,...
133
  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Different Prognosis Of Left Compared To Right Breast Cancer: A Systematic Review And Meta-analysis

Different prognosis of left compared to right breast cancer: A systematic review and meta-analysis

Fausto Petrelli1, Antonio Ghidini2, Maria Antista3

  • 1Oncology Unit, ASST Bergamo Ovest, Treviglio, BG, Italy.

Cancer Epidemiology
|May 16, 2024

Related Experiment Videos

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

256
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.6K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K

View abstract on PubMed

Summary
This summary is machine-generated.

Left-sided breast cancer is linked to slightly lower survival and a 10% increase in cardiac mortality compared to right-sided tumors. This meta-analysis clarifies survival differences in breast cancer laterality.

Area of Science:

  • Oncology
  • Cardiology
  • Biostatistics

Background:

  • The laterality of breast cancer (left vs. right) is debated regarding its impact on patient outcomes.
  • Understanding survival disparities is crucial for personalized treatment strategies and risk assessment.

Purpose of the Study:

  • To evaluate differences in overall survival (OS), cardiac mortality, and cancer-specific survival (CSS) between left-sided and right-sided breast cancer.
  • To provide evidence-based insights into the prognostic implications of breast cancer laterality.

Main Methods:

  • A comprehensive meta-analysis was performed, searching PubMed, EMBASE, and Cochrane Library databases up to December 1, 2023.
  • Included 50 publications encompassing 7,527,156 patients.
  • Primary endpoint was OS; secondary endpoints included cardiac mortality and CSS.
Keywords:
Breast cancerLeftMeta-analysisPrognosis

Related Experiment Videos

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

256
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

6.6K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.2K

Main Results:

  • Left-sided breast cancer was associated with marginally decreased OS (HR=1.03, P<.01).
  • A significant 10% increase in cardiac mortality was observed for left-sided BC (HR=1.1, P<.01).
  • Cancer-specific survival (CSS) showed no significant difference between left and right-sided breast cancer (HR=1.01, P=.32).

Conclusions:

  • Left-sided breast cancer presents a slightly increased risk of mortality and a notable rise in cardiac-related deaths compared to right-sided BC.
  • While CSS is similar, the increased cardiac mortality highlights a potential specific vulnerability associated with left-sided tumors.
Right
Side