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Population-level Impact of HPV Vaccination on the Incidence of Genital Warts in Sweden.

J Infect Dis

January 2025

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, SE-17177 Stockholm, Sweden.

Background: Sweden introduced HPV vaccination in 2006, administered through opportunistic, subsidized, catch-up and school-based programs. Notably, genital warts (GW) are the first observable clinical outcome following infection by HPV-6/11, targeted by vaccination. We aim to gain knowledge of the incidence of GW in Sweden and evaluate its change throughout vaccination programs.

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Background: In this phase 3 trial of an investigational maternal respiratory syncytial virus prefusion F protein-based vaccine (RSVPreF3-Mat), a higher rate of preterm birth was observed in the vaccine (6.8%) versus the placebo group (4.9%).

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Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.

Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.

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Job-exposure matrix (JEM) validity on crystalline silica among systemic sclerosis patients.

Occup Med (Lond)

January 2025

Maine et Loire, Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, 49000 Angers, France.

Background: Systemic sclerosis (SSc) is the connective tissue disease with the highest individual mortality. Crystalline silica is known to be an occupational risk factor for SSc. To assess past crystalline silica exposure, we aimed to study the validity of a job exposure matrix (JEM) to assess occupational exposure to crystalline silica compared to specific occupational interviews in two populations of SSc patients.

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Background: The purpose of this study was to evaluate the performance and evolution of Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI) as a resource for shoulder and elbow surgery information by assessing its accuracy on the American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions. We hypothesized that both ChatGPT models would demonstrate proficiency and that there would be significant improvement with progressive iterations.

Materials And Methods: A total of 200 questions were selected from the 2019 and 2021 American Academy of Orthopaedic Surgeons shoulder-elbow self-assessment questions.

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