Machine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective Observational Study by Using the Common Data Model.

: Earlier detection of severe immune-related hematological adverse events (irHAEs) in cancer patients treated with a PD-1 or PD-L1 inhibitor is critical to improving treatment outcomes. The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. : We utilized the Observational Medical Outcomes Partnership-Common Data Model based on electronic medical records from a tertiary (KHMC) and a secondary (KHNMC) hospital in South Korea.

Definition of a European pre-vasectomy scoring system to identify patients at risk of vasectomy regret.

Introduction: Vasectomy is a widely used, safe, effective method of permanent contraception and contributes to healthy sexuality.

Aims: We have conducted a 3-step observational clinical study to develop a vasectomy regret risk score and guide patients and clinicians when discussing a vasectomy.

Methods: A 3-step approach has been followed.

Diastereoselective Synthesis of Cyclobutanes via Rh-Catalyzed Unprecedented C-C Bond Cleavage of Alkylidenecyclopropanes.

The stereoselective synthesis of highly substituted cyclobutanes is essential for the development of lead candidates in drug discovery. Herein, we present a novel Rh(III)-catalyzed reaction pathway for synthesizing substituted cyclobutanes, which involves a concerted N-C bond formation and C-C bond cleavage between 2-aryl quinazolinones and alkylidenecyclopropanes. Notably, the combination of Rh(III) catalyst and HFIP solvent plays a critical role in facilitating the formation of cyclobutane rings.

Reducing Quotation Errors in Scientific Manuscripts: A Novel Approach from the Global Andrology Forum.

Purpose: This study investigated 1) the frequency of quotation errors in multi-authored medical manuscripts in andrology, 2) analyzed common types of quotation errors and the methods used to rectify them, and 3) evaluated their impact on manuscript accuracy, credibility, and research conclusions.

Materials And Methods: Twelve manuscripts written by the Global Andrology Forum (GAF) members between 2023 and 2024 were randomly selected for this study. The manuscripts and "Quotation Verification Sheets" were analyzed by senior GAF researchers to detect the number and types of quotation errors.

Population Attributable Fraction of Non-Vaccination and Under-Vaccination of COVID-19 Due to Vaccine Hesitancy, 2022.

Non-vaccination and under-vaccination with the COVID-19 vaccine may be attributed to multifaceted barriers including hesitancy and access issues. Using data from the CDC's Research and Development Survey, a nationally representative survey fielded from November 3, 2022 - December 12, 2022 (n=6,821), we examined the adjusted population attribution fraction (PAF) of COVID-19 non-vaccination and under-vaccination attributed to vaccine hesitancy by sociodemographic characteristics. Overall, the adjusted PAF of non-vaccination attributed to vaccine hesitancy was 84.