Affiliation:
1. Division of Otolaryngology Department of Surgery Yale School of Medicine New Haven Connecticut USA
2. Section for Biomedical Informatics and Data Science Yale University School of Medicine New Haven Connecticut USA
Abstract
AbstractBackgroundAccurate conflict of interest (COI) information is essential for promoting transparency and trust in research. We aim to assess COI disclosure patterns in monoclonal antibodies (MABs) research for chronic rhinosinusitis with nasal polyposis (CRSwNP) using the Open Payments Database (OPD).MethodsStudies on FDA‐approved MABs for CRSwNP (dupilumab, omalizumab, mepolizumab) published between 2019 and 2021 with at least one US author were identified through PubMed. Industry‐reported payments from the manufacturers (Sanofi, Regeneron, Genentech, Novartis, and GlaxoSmithKline) between 2018 and 2021 in OPD's General Payments category were collected. Authors were cross‐checked against OPD metadata using a previously published ChatGPT‐based algorithm. Additionally, this novel algorithm analyzed COI statements for relevant author‒company specific disclosures, identifying disclosed and undisclosed payments made 3‒15 months prior to publication.ResultsA total of 214 unique authors from 76 studies were included. Of 30 articles that received at least one relevant payment, 21 (70%) were found to have an undisclosed COI, with a mean total undisclosed payment of $4890 and a median of $10,331. Fifty‐six authors had relevant OPD payments and 40 (71.4%) authors did not declare a potential COI. Interestingly, 158 authors had no relevant payments and 62 (39.2%) declared a potential COI. Author order was not significantly associated with potential under‐ or over‐disclosure.ConclusionThis study characterizes COI disclosure patterns in rhinosinusitis‐relevant MABs research using a novel automated approach. Given the discrepancy between disclosures and industry‐reported payments, our findings suggest a need for improved disclosure education and practices.