Evaluating the impact of delayed study startup on accrual in cancer studies

Isuru Ratnayake1, Anh-Tuan Do2, Daniel Gajewski3

  • 1Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.

Research Square
|May 3, 2024
PubMed
Abstract

Insights

Expediting clinical trial startup times, particularly in oncology drug development, significantly improves study success rates. Faster activation correlates with better patient accrual and overall project outcomes, benefiting cancer research.

Area of Science:

  • Oncology
  • Clinical Trials
  • Drug Development

Background:

  • Clinical trials are crucial for cancer drug development but face lengthy timelines (8-10 years) due to significant time investments in design, operationalization, and completion.
  • Study startup, often exceeding six months, is a major bottleneck, leading to increased costs and delayed patient access to innovative therapies.
  • This study investigates how study-specific factors influence startup duration and overall trial success.

Conclusions:

  • Extended study activation times are directly associated with reduced project success in cancer clinical trials.
  • Optimizing the approval process to reduce startup impediments can accelerate trial completion and enhance success rates across all study phases.
  • Facilitating quicker approvals is essential for improving the efficiency and effectiveness of oncology drug development.

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...
345
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

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...
203
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

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...
221
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
125
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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,...
5.5K
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K