Background: Accurate 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).
Methods: Studies on FDA-approved MABs for CRSwNP (dupilumab, omalizumab, mepolizumab) published between 2019 and 2021 with at least one US author were identified through PubMed.
In this study, lichen planus was found to be associated with asthma and allergic rhinitis, highlighting a possible shared immunopathogenesis. In this population-based cross-sectional study, the association remained after controlling for covariates.
View Article and Find Full Text PDFAnn Otol Rhinol Laryngol
July 2024
Objectives: Antithrombotic therapies, comprised of both anticoagulant and antiplatelet agents, are routinely paused prior to endoscopic sinus surgery (ESS) to reduce the risk of perioperative hemorrhage. At present, no clear guidelines exist to guide otolaryngologists on when to resume these agents after ESS. Our goal was to systematically review the existing literature related to this topic.
View Article and Find Full Text PDFWhile awaiting confirmatory results, empiric therapy for patients suspected to have immune thrombotic thrombocytopenic purpura (iTTP) provides benefits and also accrues risks and costs. Rapid assays for ADAMTS13 may be able to avoid the cost and risk exposure associated with empiric treatment. We conducted, to our knowledge, the first cost-effectiveness evaluation of testing strategies with rapid vs traditional ADAMTS13 assays in patients with intermediate- to high-risk PLASMIC scores, with and without caplacizumab use.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
June 2024
Objective: The Centers for Medicare & Medicaid Services "OpenPayments" database tracks industry payments to US physicians to improve research conflicts of interest (COIs) transparency, but manual cross-checking of articles' authors against this database is labor-intensive. This study aims to assess the potential of large language models (LLMs) like ChatGPT to automate COI data analysis in medical publications.
Study Design: An observational study analyzing the accuracy of ChatGPT in automating the cross-checking of COI disclosures in medical research articles against the OpenPayments database.