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Updated: Jun 7, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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对FDA不良事件报告系统 (FAERS) 事件的真实世界不成比例分析,以对出血血流病患者进行分析

Zhong Xue1, Maohua Chen2, Mingzuo Wang1

  • 1Department of Hepatopancreatobiliary Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420, Fuma Road, Fuzhou, Fujian, China.

Scientific reports
|November 18, 2024
PubMed
概括

这项研究使用FAERS数据分析了avatrombopag不良事件. 它确定了常见和潜在的副作用,包括血栓形成和光,突出了治疗前30天内的风险.

关键词:
不良事件是不良事件.另一个是Avatrombopag.慢性肝病是一种慢性肝病.公平的人是公平的.血小板减少症 (Thrombocytopenia) 是一个严重的疾病.

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