Analysis of FDA Warning Letters Issued to Indian Pharmaceutical and Medical Device Companies: A Retrospective Study.

Ther Innov Regul Sci

Department of Pharmacy Management, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Karnataka, India.

Published: November 2019

Background: FDA issues warning letters to pharmaceutical manufacturers, distributors, or clinical investigators if it observes serious violations of federal regulations. These warning letters contain the details about the nature of the violations observed and the corrective actions recommended by the FDA. A follow-up inspection may be requested by the recipient after taking the corrective actions.

Methods: Analysis of warning letters issued to Indian pharmaceutical companies from January 1, 2005, to December 31, 2018, was carried out. The warning letters were extracted from FDA's public database.

Results: Across the 14-year study period, the number of warning letters issued to Indian pharmaceutical and medical device manufacturers has gradually increased. Of all the violations listed in these warning letters, 85.87% were related to the failure of compliance with the cGMP guidelines. Moreover, 80.72% of these warning letters were not followed by a close-out warning, which indicated that the violations listed in these warning letters could not be resolved.

Conclusion: As the inability of the recipients to comply with the cGMP guidelines formed the majority of the violations observed in the warning letters, more resources and manpower have to be assigned to the manufacturing process of the pharmaceutical products.

Download full-text PDF

Source
http://dx.doi.org/10.1177/2168479019879380DOI Listing

Publication Analysis

Top Keywords

warning letters
40
letters issued
12
issued indian
12
indian pharmaceutical
12
warning
11
letters
10
pharmaceutical medical
8
medical device
8
violations observed
8
violations listed
8

Similar Publications

Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing.

NPJ Digit Med

December 2024

Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, PA, USA.

Current regulatory frameworks for artificial intelligence-based clinical decision support (AICDS) are insufficient to ensure safety, effectiveness, and equity at the bedside. The oversight of clinical laboratory testing, which requires federal- and hospital-level involvement, offers many instructive lessons for how to balance safety and innovation and warnings regarding the fragility of this balance. We propose an AICDS oversight framework, modeled after clinical laboratory regulation, that is deliberative, inclusive, and collaborative.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!