Objectives: We propose and test a framework to detect disease diagnosis using a recent large language model (LLM), Meta's Llama-3-8B, on French-language electronic health record (EHR) documents. Specifically, it focuses on detecting gout ('goutte' in French), a ubiquitous French term that has multiple meanings beyond the disease. The study compares the performance of the LLM-based framework with traditional natural language processing techniques and tests its dependence on the parameter used.
View Article and Find Full Text PDFObjectives: Transparent trial conduct requires prospective registration of a randomized controlled clinical trial (RCT) before the enrollment of the first participant. We aimed to (1) estimate the proportion of RCTs that are prospectively registered and analyze the time trends and factors linked to registration timing and (2) assess the reasons for nonadherence to prospective registration and explore ways to improve compliance. We studied trials published in rheumatology as a case study.
View Article and Find Full Text PDFObjective: To validate the prognostic accuracy of anti-apolipoprotein A-1 (AAA1) IgG for incident major adverse cardiovascular (CV) events (MACE) in rheumatoid arthritis (RA) and study their associations with the lipid paradox at a multicentric scale.
Method: Baseline AAA1 IgG, lipid profile, atherogenic indexes, and cardiac biomarkers were measured on the serum of 1,472 patients with RA included in the prospective Swiss Clinical Quality Management registry with a median follow-up duration of 4.4 years.
Objective: To develop an automatic gout register from electronic health records (EHRs) data.
Methods: We analysed the EHR of all patients >18 years old from a tertiary academic hospital (2013-2022) based on six criteria: International Classification of Diseases 10 gout diagnosis, urate-lowering therapy prescription, monosodium urate crystals in joint aspiration and gout-related terms in problem lists, clinical or imaging reports. We assessed the positive and negative predictive value (PPV and NPV) of the query by chart reviews.