Related Experiment Video
Updated: Jun 12, 2025
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
223
[Evidence for cancer screening programs; what is a fitting metric?]
1Amsterdam UMC, afd. Epidemiology & Data Science, Amsterdam.
Nederlands Tijdschrift Voor Geneeskunde
|September 26, 2024
Summary
Cancer screening trials need reliable outcome measures. While cancer-related mortality is standard, alternative measures like stage shift are debated for their limitations in evaluating screening effectiveness.
Area of Science:
- Oncology
- Clinical Trials
- Public Health
Context:
- Cancer screening programs require robust evidence on benefits, harms, and resource allocation.
- Traditional randomized cancer screening trials rely on cancer-related mortality as the primary outcome.
- This necessitates large cohorts and extensive follow-up periods.
Purpose:
- To evaluate the suitability of primary outcome measures in cancer screening trials.
- To discuss the limitations of alternative outcome measures, such as stage shift.
- To inform the design and interpretation of evidence for cancer screening interventions.
Summary:
- Cancer screening program implementation demands a thorough assessment of health benefits, harms, and resource utilization.
- Cancer-related mortality has been the primary endpoint in most randomized cancer screening trials.
- Alternative measures, like stage shift used in the UK NHS-Galleri trial, are being considered but face scrutiny regarding their limitations.
Impact:
- Highlights the critical need for appropriate outcome measures in cancer screening research.
- Informs ongoing discussions about the validity and limitations of surrogate endpoints in cancer screening.
- Aids in the design of future cancer screening trials to ensure reliable evidence generation.
More Related Videos
07:49Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
117
08:14MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
15.6K
Related Concept Videos
01:21Cancer Survival Analysis
331
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...
331
01:25Statistical Methods for Analyzing Epidemiological Data
316
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
316
01:24Kaplan-Meier Approach
107
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,...
107
01:20Comparing the Survival Analysis of Two or More Groups
158
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...
158
01:30Preventive Healthcare Services
973
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
973
02:43Mouse Models of Cancer Study
5.5K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K