Unknown

Dataset Information

Predicting success in regulatory approval from Phase I results.


ABSTRACT:

Purpose

Drug development in oncology is resource intensive and has a high failure rate. In this exploratory analysis, we aimed to identify the characteristics and outcomes of published Phase I studies associated with future Food and Drug Administration (FDA) approval.

Methods

Phase I studies of approved and non-approved anticancer agents between 2000 and 2013 were retrospectively examined. Fisher's exact and chi-squared tests were used to compare the potential predictive measures.

Results

Phase I studies of 88 anticancer agents (54 approved and 34 non-approved by the FDA), treating a total of 4,423 subjects, were examined. The median number of patients in Phase I trials of approved and non-approved agents was 44.5 and 32, respectively. A total of 423 subjects (86 repo

SUBMITTER: Malik L 

PROVIDER: S-EPMC4489154 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets