Real-world insights into safety, tolerability, and predictive factors of adverse drug reactions in treating idiopathic pulmonary fibrosis with pirfenidone and nintedanib [0.03%]
吡非尼酮和尼达尼布治疗特发性肺纤维化真实世界安全性、耐受性和不良反应预测因素的见解
Alessio Provenzani,Daniele Leonardi Vinci,Miriam Alaimo et al.
Alessio Provenzani et al.
Background: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive, life-threatening lung disease with a global incidence of 0.09-1.30 per 10,000 individuals. Pirfenidone and nintedanib are the approved treatments ...
Pharmacist support in the entry of blood drug concentration test order avoids vancomycin-induced kidney injury [0.03%]
药师支持的血液药物浓度检测申请录入可避免万古霉素致肾损伤
Naoki Yoshikawa,Chiaki Miyata,Hidehiko Koreeda et al.
Naoki Yoshikawa et al.
Background: Task shifting and sharing have been proposed as strategies to address healthcare staffing shortages and improve patient outcomes. In emergency and intensive care medicine, pharmacist interventions have shown p...
Implementation of electronic distribution of Direct Healthcare Professional Communications by the Danish Medicines Agency: a survey study of physicians' experiences and preferences [0.03%]
丹麦药品局实施电子直接医疗卫生专业沟通的现状：一项关于医师使用经验及偏好的调查研究
Per Sindahl,Mathias Møllebæk,Helga Gardarsdottir et al.
Per Sindahl et al.
Background: The efficient distribution of Direct Healthcare Professional Communications (DHPCs) is crucial for ensuring healthcare providers promptly receive important new safety information. ...
Can large language models detect drug-drug interactions leading to adverse drug reactions? [0.03%]
大型语言模型能否检测出导致不良药物反应的药物相互作用？
Justine Sicard,François Montastruc,Coline Achalme et al.
Justine Sicard et al.
Background: Drug-drug interactions (DDI) are an important cause of adverse drug reactions (ADRs). Could large language models (LLMs) serve as valuable tools for pharmacovigilance specialists in detecting DDIs that lead to...
Drug-induced fever in post-surgical patients: a systematic review of case reports [0.03%]
术后患者药物诱导的发热：病例报告系统性回顾
Fatemeh Afra,Mona Aboutalebzadeh,Soheila Tayefeh et al.
Fatemeh Afra et al.
Background: Fever is a common postoperative complication, typically caused by aseptic inflammation or infection. However, drug-induced fever (DIF) is an underdiagnosed etiology that should be considered in the differentia...
Real-world evidence on the association of novel antidiabetic medication use with cancer risk and protective effects: a systematic review and network meta-analysis [0.03%]
新型抗糖尿病药物与癌症风险和保护作用的现实世界证据：系统评价和网络meta分析
Ahmed S Kenawy,Yi-Shao Liu,Ayobami Aiyeolemi et al.
Ahmed S Kenawy et al.
Background: Novel antidiabetic medications (SGLT-2 inhibitors, DPP-4 inhibitors, and GLP-1 agonists) are commonly used worldwide; however, the available research lacks definitive conclusions on their protective effects or...
Pharmacovigilance study on the reporting frequency of atrial fibrillation with immune checkpoint inhibitors: insights from FDA Adverse Event Reporting System [0.03%]
基于美国食品药品管理局不良事件报告系统的免疫检查点抑制剂药物警戒研究：来自FDA不良事件报告系统关于免疫检查点抑制剂的房颤报告频率的考察
Nunzia Balzano,Annamaria Mascolo,Donatella Ruggiero et al.
Nunzia Balzano et al.
Background: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy but are linked with immune-related adverse events (irAEs), including cardiac events. ...
Semaglutide: a gendered phenomenon-women's increased vulnerability to adverse drug reactions in the global weight loss trend [0.03%]
塞meglutide：一种性别现象——全球减肥趋势下女性更易出现不良药物反应
Eleonora Castellana,Maria Rachele Chiappetta
Eleonora Castellana
Mydriasis mediated by local anesthetics: an unexpected adverse event or new therapeutic indication? [0.03%]
局部麻醉剂介导的散瞳：一种意外的不良事件还是一种新的治疗适应症？
Homero Contreras-Salinas,Janet Cristina Vázquez-Beltrán,María Soledad Romero-López et al.
Homero Contreras-Salinas et al.
The increasing off-label use of medications needs a robust pharmacovigilance system. This is particularly crucial given the abundance of scientific data that can be harnessed to ensure a product's safety. Our review focuses on the off-label...
Development and validation of a risk-prediction model for adverse drug reactions in real-world cancer patients treated with anlotinib [0.03%]
安罗替尼治疗的现实世界癌症患者药物不良反应风险预测模型的开发与验证
Jiajia Qian,Cong Ruan,Yunyun Cai et al.
Jiajia Qian et al.
Background: The risk factors related to the adverse drug reactions (ADRs) of anlotinib have been rarely investigated. In addition, a corresponding risk prediction model has not been established in China pertaining to anlo...