Prognostic Factors and Survival in Pericardial Mesothelioma: A Systematic Review and Quantitative Analysis

Michał Kapałka1, Estera Pazek1, Michał Krawiec1

  • 1Students' Scientific Club at the Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Katowice, Poland.

Cancers
|August 27, 2026
PubMed
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...
Pericarditis II: Clinical Features and Diagnostic Tests01:19

Pericarditis II: Clinical Features and Diagnostic Tests

Pericarditis is distinguished by inflammation of the pericardium, the fibrous sac that encases the heart. It can be acute, lasting less than six weeks, or chronic, persisting for over three months. Understanding its clinical manifestations and diagnostic findings is crucial for timely and effective management.Clinical ManifestationsWhile pericarditis can be asymptomatic, it usually presents with characteristic symptoms such as:Chest Pain: The most characteristic symptom of pericarditis is chest...
Pericarditis III: Medical Management01:17

Pericarditis III: Medical Management

The primary objectives of managing pericarditis are to determine the underlying cause, provide effective therapy for treatment and symptom relief, and promptly detect signs and symptoms of cardiac tamponade. The following outlines the essential aspects of medical management for pericarditis:ObjectivesDetermine the Cause: Identifying the underlying cause of pericarditis is crucial for targeted treatment. Causes include viral infections, autoimmune diseases, post-cardiac injury syndrome, and...
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,...