Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol [0.03%]
机器学习在急性胆源性胰腺炎复发风险评估中的应用：MINERVA深度学习研究方案
Mauro Podda,Adolfo Pisanu,Gianluca Pellino et al.
Mauro Podda et al.
Background: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challenges due to its potential for relapse. Current guidelines advocate for early cholecystectomy (EC) during the same hospita...
Robot-assisted puncture versus conservative treatment for severe brainstem hemorrhage: clinical outcomes comparison with experience of 138 cases in a single medical center [0.03%]
机器人辅助穿刺治疗与保守治疗对严重脑干出血的临床疗效比较单一医疗中心的138例病人治疗经验
Xingwang Sun,Junhao Zhu,Miao Lu et al.
Xingwang Sun et al.
Introduction: The application of robot-assisted surgical technology in treating brainstem hemorrhage has garnered increasing attention. Treatments such as stereotactic hematoma aspiration and neuroendoscopic surgery are b...
Observational Study
World journal of emergency surgery : WJES. 2025 Feb 25;20(1):15. DOI:10.1186/s13017-025-00592-9 2025
COVID-19 infection is a significant risk factor for death in patients presenting with acute cholecystitis: a secondary analysis of the ChoCO-W cohort study [0.03%]
COVID-19感染是急性胆囊炎患者死亡的重要危险因素：ChoCO-W队列研究的二次分析
Belinda De Simone,Fikri M Abu-Zidan,Lucienne Kasongo et al.
Belinda De Simone et al.
Background: During the coronavirus disease (COVID-19) pandemic, there has been a surge in cases of acute cholecystitis. The ChoCO-W global prospective study reported a higher incidence of gangrenous cholecystitis and adve...
Indocyanine green fluorescence-guided surgery in the emergency setting: the WSES international consensus position paper [0.03%]
紧急情况下的吲哚菁绿荧光引导手术：WSES国际共识立场文件
Belinda De Simone,Fikri M Abu-Zidan,Luigi Boni et al.
Belinda De Simone et al.
Background: Decision-making in emergency settings is inherently complex, requiring surgeons to rapidly evaluate various clinical, diagnostic, and environmental factors. The primary objective is to assess a patient's risk ...
A risk prediction model for venous thromboembolism in hospitalized patients with thoracic trauma: a machine learning, national multicenter retrospective study [0.03%]
胸部创伤住院患者静脉血栓栓塞症的风险预测模型：一项机器学习的全国多中心回顾性研究
Kaibin Liu,Di Qian,Dongsheng Zhang et al.
Kaibin Liu et al.
Background: Early treatment and prevention are the keys to reducing the mortality of VTE in patients with thoracic trauma. This study aimed to develop and validate an automatic prediction model based on machine learning f...
Diagnostic value of the appendicitis inflammatory response (AIR) score. A systematic review and meta-analysis [0.03%]
附睾炎炎症反应(AIR)评分的诊断价值：系统评价和 Meta 分析
Roland E Andersson,Joachim Stark
Roland E Andersson
Background: Clinical scoring algorithms are cost efficient in patients with suspicion of acute appendicitis. This is a systematic review and meta-analysis of the diagnostic properties of the Appendicitis Inflammatory Resp...
Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study [0.03%]
基于全国数据库的非手术非介入治疗脾脏损伤后再出血危险因素分析
Chung-Yen Chen,Hung-Yu Lin,Pie-Wen Hsieh et al.
Chung-Yen Chen et al.
Purpose: This study aimed to identify risk factors for rebleeding within 180 days post-discharge in blunt splenic injury patients managed without splenectomy or embolization. ...
Clinical outcome analysis for surgical fixation versus conservative treatment on rib fractures: a systematic evaluation and meta-analysis [0.03%]
手术内固定与保守治疗肋骨骨折的临床疗效分析：系统评价和Meta分析
Penglong Zhao,Qiyue Ge,Haotian Zheng et al.
Penglong Zhao et al.
Background: The efficacy of surgical intervention for traumatic rib fractures in improving clinical outcomes remains a subject of considerable debate. Over the past decade, the adoption of surgical stabilization for rib f...
Antonio Pesce,Rosario Lombardo,Antonio Di Cataldo et al.
Antonio Pesce et al.
Correction: Surgical stabilization of rib fractures (SSRF): the WSES and CWIS position paper [0.03%]
纠正：肋骨骨折手术固定(SSRF)：WSES和CWIS立场文件
Giacomo Sermonesi,Riccardo Bertelli,Fredric M Pieracci et al.
Giacomo Sermonesi et al.