BACKGROUND: Even though adverse event (AE) collection and official accounting are mandatory for clinical trials, there are limited detailed guidelines specifying how to summarize the event for reporting in a timely and expeditious manner. This article details the AE and serious adverse event (SAE) reporting summary developed for a large multi-center National Institutes of Health (NIH)-sponsored clinical trial. PURPOSE: To review and analyze the large volume of AE data reported by 10 sites (806 SAEs and 19,034 AEs from August 2000 to May 2007) the automated SAE summary was developed. It was designed to ensure timeliness and clarity in the complex process of AE review and reporting. METHODS: The AE and SAE case report forms (CRFs) as well as the automated SAE summary were developed within a database management system developed by the Data Coordinating Center (DCC) which allowed for web-based data entry at the DCC and 10 sites and offered immediate overall and site-specific reports accessible by the DCC, site, and NIH project staff. RESULTS: The automated SAE summary pulled data from multiple CRFs to create a succinct and informative summary and allowed for prompt and easy reporting to the regulatory agencies. The summary was adaptable to the needs of reviewers because of the availability of multiple search options.
BACKGROUND: Even though adverse event (AE) collection and official accounting are mandatory for clinical trials, there are limited detailed guidelines specifying how to summarize the event for reporting in a timely and expeditious manner. This article details the AE and serious adverse event (SAE) reporting summary developed for a large multi-center National Institutes of Health (NIH)-sponsored clinical trial. PURPOSE: To review and analyze the large volume of AE data reported by 10 sites (806 SAEs and 19,034 AEs from August 2000 to May 2007) the automated SAE summary was developed. It was designed to ensure timeliness and clarity in the complex process of AE review and reporting. METHODS: The AE and SAE case report forms (CRFs) as well as the automated SAE summary were developed within a database management system developed by the Data Coordinating Center (DCC) which allowed for web-based data entry at the DCC and 10 sites and offered immediate overall and site-specific reports accessible by the DCC, site, and NIH project staff. RESULTS: The automated SAE summary pulled data from multiple CRFs to create a succinct and informative summary and allowed for prompt and easy reporting to the regulatory agencies. The summary was adaptable to the needs of reviewers because of the availability of multiple search options.
Authors: David I Silverman; Lisanne Cirullo; Nicholas A DeMartinis; Kathryn Damato; Margaret DeMeo; Gustavo A Fernandez; Laura Glynn; Upendra Hegde; Elizabeth Laskay; Robin Leger; Khamis Abu-Hasaballah; Joan M Caron Journal: Contemp Clin Trials Date: 2006-03-06 Impact factor: 2.226
Authors: Stephen R Wisniewski; Heather Eng; Leslie Meloro; Robert Gatt; Louise Ritz; Diane Stegman; Madhukar Trivedi; Melanie M Biggs; Edward Friedman; Kathy Shores-Wilson; Diane Warden; Douglas Bartolowits; Jeffrey P Martin; A John Rush Journal: Clin Trials Date: 2004 Impact factor: 2.486
Authors: William M Lee; Jules L Dienstag; Karen L Lindsay; Anna S Lok; Herbert L Bonkovsky; Mitchell L Shiffman; Gregory T Everson; Adrian M Di Bisceglie; Timothy R Morgan; Marc G Ghany; Chihiro Morishima; Elizabeth C Wright; James E Everhart Journal: Control Clin Trials Date: 2004-10
Authors: Kristin K Snow; Margaret C Bell; Anne M Stoddard; Teresa M Curto; Elizabeth C Wright; Jules L Dienstag Journal: Trials Date: 2014-05-07 Impact factor: 2.279