- Jeffrey Modell Foundation and primary immune deficiency foundation that we used to work with them for the patient survey.
- Progeria Research Foundation: I was intrigued by this disease and was moved by the story of late Sam Bern and his famous TED talk "My Philosophy for a Happy Life"
- Evan Foundation: established by Evan's father. Evan died of a rare tumor in Children - Neuroblastoma. I listened to Evan's father describing the cruelty of this deadly disease and was encouraged to continue working on clinical trials arming to find the cures for Neuroblastoma.
- GBS-CIDP Foundation: I used to work on clinical trials in GBS and CIDP and had IGIV approved in CIDP in multiple countries and IGIV approved in GBS in Canada.
- Cholangiocarcinoma Foundation: One of my friends recently died of Cholangiocarcinoma.
- Hemophilia:
- ......
CQ's web blog on the issues in biostatistics and clinical trials.
Saturday, May 29, 2021
Patient Advocacy Groups in Drug Development and Clinical Trials For Patients With Rare Diseases
Sunday, May 23, 2021
Are we moving away from data listings now that the standard data sets (such as CDISC-compliant SDTM and ADaM data sets) are mandated by FDA?
After a clinical trial is concluded, the statistical group (statisticians and statistical programmers) will generate the tables, listings, and figures (TLFs in short) for the clinical study report (CSR). If the clinical trial results are good, the CSR including the TLFs and the data sets where the TLFs are generated from will be submitted to the regulatory authorities (such as FDA) for marketing authorization application (such as new drug application (NDA) and biological license application (BLA).
From the statistical standpoint, the clinical trial is a process to collect the data (demographic, efficacy, and safety). The data sets we collected will be converted and mapped to the standardized format according to the CDISC standards - SDTM for tabulation data sets and ADaM for analysis data sets. The standardized data sets are then used for generating the tables, listings, and figures (may also be called the post-text TLFs). The post-text TLFs will be the building block for constructing the CSRs.
The data listings are required as part of the CSRs and post-text listings are included in the CSRs as appendices. As specified in ICH E3 "STRUCTURE AND CONTENT OF CLINICAL STUDY REPORTS", data listings will be organized according to the sections/numbers below:
With the FDA's mandate for submission of the standardized data sets, the CDISC standard tabulation data set is SDTM (study data tabulation model), the natural question is if the data listings are still needed. The data listings are just the simple display of the SDTM data set (or ADaM data set) with format/layout beautified. Some sponsors have moved to the direction of not generating the formal data listings and they think that the CDISC-compliant data sets will be sufficient to replace the data listings.
28: With the advent of a new “misc folder” instead of listings do you think that FDA is getting away from generating listings for each study? It seems that the datasets (SEND, SDTM, and ADaM) would stand alone to support any listings.Once the standards requirements are in effect, the idea would be that listings would be replaced by the SDTM tabulations data, so yes.
FDA has organized or participated in multiple webinars to emphasize the criticality of submitting the data sets in standardized formation, however, there is no subsequent mention about the standardized data sets replacing the data listings.
- FDA website: Study Data Standards Resources
- FDA website: Study Data for Submission to CDER and CBER
- FDA Webinar: The FDA Study Data Technical Conformance Guide v4.4 - Nov 22, 2019
- Study Data Technical Conformance Guide - FDACDER Small Business and Industry Assistance (CDER SBIA) Webinar - Study Data Standards in eCTD: What You Need to Know about the New Technical Rejection Criteria - October 12, 2016
- Duke Margolis Center for Health Policy in collaboration with FDA organized a public workshop: Advancing the Development and Implementation of Analysis Data Standard: Key Challenges and Opportunities: