Large molecule clinical trials taking longer, costing more

By Melissa Fassbender

- Last updated on GMT

(Image: iStock/Max2611)
(Image: iStock/Max2611)
Significant differences in large molecule clinical trials highlights the need to be more efficient, according to a recent analysis of clinical trial duration.

The analysis, conducted by KMR Group​, evaluated cycle time performance for more than 17,000 interventional trials from trials conducted between 2005 to 2015.

We have been analyzing the clinical trial differences by molecule type for several years, and seeing the differences in both length of time and costs truly magnifies the need to be operationally efficient​,” Linda Martin, KMR Group President and Founder, told Outsourcing-Pharma.com.

The report analyzed a variety of factors, including outsourcing, disease complexity, study size, and subject type, and found that large molecule trials are regularly longer “at a statistically significant level​.”

According to the report, this is true across trial phases. For Phase III oncology trials specifically, KMR Group found the total duration for small molecules is a median 4.5 years compared to 6.1 years for large molecules.

In Oncology, not only are large molecule trials taking longer, but the costs per month are higher as well​,” explained Martin.

Several factors contribute to the longer trial time, including study startup, enrollment, and data capture.

According to the report, large molecule trials recruit at a lower rate, with small molecule studies recruiting a median 17.5 subjects per month in Phase III for oncology, compared to 14.2 subjects per month for large.

There may be some outstanding new biologic therapies on the horizon, but for the companies developing these drugs, identifying areas for operational improvement has never been more critical​,” said Martin.

Related news

Show more

Related products

show more

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Overcoming rapid growth challenges with process liquid preparation

Overcoming rapid growth challenges with process liquid preparation

Content provided by Thermo Fisher Scientific - Process Liquid Preparation Services | 01-Nov-2023 | Case Study

A growing contract development manufacturing organization (CDMO) was challenged with the need to quickly expand their process liquid and buffer preparation...

Why should you use clinical trial technology?

Why should you use clinical trial technology?

Content provided by Formedix | 01-Nov-2023 | White Paper

New, innovative clinical trial technology is helping to revolutionize the research landscape. COVID-19 demonstrated that clinical trials can be run much...

Related suppliers

Follow us

Products

View more

Webinars