Kinetic classification of posterior semicircular canal canalithiasis based on quantitative nystagmus parameters and its predictive value for the need of a second Epley maneuver: a retrospective quantitative analysis of 60 patients [0.03%]
基于定量眼震参数的后半规管耳石症动力学分类及其对二次Eppley手法需求预测价值的回顾性定量分析（60例）
Jing Chen,Shuo Yang
Jing Chen
Objective: To classify the kinetic state of otoconia in canalithiasis according to the slow phase velocity (SPV) of nystagmus during the Dix‑Hallpike test in patients with posterior semicircular canal benign paroxysmal p...
Kinetic classification of posterior semicircular canal canalithiasis based on quantitative nystagmus parameters and its predictive value for the need of a second Epley maneuver: a retrospective quantitative analysis of 60 patients [0.03%]
基于定量眼震参数的后半规管耳石症动力学分类及其对二次Eply maneuvers需求的预测价值：60例回顾性定量分析
Jing Chen,Shuo Yang
Jing Chen
Objective: To classify the kinetic state of otoconia in canalithiasis according to the slow phase velocity (SPV) of nystagmus during the Dix‑Hallpike test in patients with posterior semicircular canal benign paroxysmal p...
A comprehensive review of deep brain stimulation for drug-resistant epilepsy [0.03%]
难治性癫痫的脑深部刺激治疗进展及相关基础研究综合述评
Ryota Sasaki,Masako Kinoshita,Abbas F Sadikot et al.
Ryota Sasaki et al.
Background: Deep brain stimulation (DBS) has emerged as a palliative neurosurgical treatment option for drug-resistant epilepsy (DRE), particularly in patients who are not candidates for resective surgery or who continue ...
Explainable machine learning for predicting lower extremity deep vein thrombosis in traumatic brain injury patients: development of a SHAP-guided Random Forest model [0.03%]
基于解释性机器学习的创伤性脑损伤患者下肢深静脉血栓预测模型研究：一种SHAP引导的随机森林模型及其验证研究
Xujie Wang,Xuhui Liu,Zhiqi Yu et al.
Xujie Wang et al.
Background: Lower extremity deep vein thrombosis (LEDVT) is a common and clinically important complication after traumatic brain injury (TBI). Early identification of patients at increased thrombotic risk remains challeng...
Cerebrocentric bias in stroke terminology and the hemovascular paradigm: a conceptual reframing of cerebrovascular disease classification [0.03%]
脑卒中术语中的大脑中心偏见及血液血管范式：重新定义脑血管疾病分类的概念框架
Maksud Makhmudovich Asadullaev,Nargiza Maqsudovna Vakhabova,Tolibjon Zokhidjon Ogli Khomidov
Maksud Makhmudovich Asadullaev
Stroke remains one of the clinical conditions with the highest global disease burden, yet whose underlying risk factors and pathogenetic mechanisms are increasingly well understood. Nevertheless, the prevailing terminology for stroke-partic...
The impact of different intervention methods (anesthetic adjuvant drugs, anesthetic techniques, and non-pharmacological interventions) on postoperative cognitive function in patients undergoing cardiac surgery: a systematic review and Bayesian network meta-analysis [0.03%]
不同干预措施（麻醉辅助用药、麻醉方式及非药物干预）对心脏手术患者术后认知功能影响的系统评价和贝叶斯网络Meta分析
Jiao Xue,Xiaodong Wang,Yi Qiu
Jiao Xue
Objective: Postoperative cognitive dysfunction (POCD) is a frequent complication after cardiac surgery, with inconsistent evidence regarding preventive strategies. This network meta-analysis aims to evaluate and compare m...
Impact of surgery within 6 hours on preoperative rerupture and prognosis of poor-grade aneurysmal subarachnoid hemorrhage [0.03%]
急诊手术治疗急性重型动脉瘤性蛛网膜下腔出血的疗效分析
Xiaomei Xu,Qiuyan Shen,Dan Wang et al.
Xiaomei Xu et al.
Objective: Preoperative rerupture is a major cause of poor outcome in poor-grade aneurysmal subarachnoid hemorrhage (PaSAH). The optimal surgical timing is controversial. This study aims to investigate the effect of surge...
Development and external validation of a machine learning model based on multimodal dynamic data for predicting shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage: a dual-center retrospective cohort study [0.03%]
基于多模态动态数据预测动脉瘤性蛛网膜下腔出血后脑室腹腔分流依赖型脑积水的机器学习模型的开发和外部验证：一项双中心回顾性队列研究
Chengzhang Zheng,Jianhuang Huang,Xinguo Wang et al.
Chengzhang Zheng et al.
Objective: To develop and externally validate a machine learning model for predicting shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid hemorrhage (aSAH) using multimodal dynamic data. ...
Application of a continuous nursing model based on medical treatment combination in patients with stroke sequelae [0.03%]
基于医疗结合的连续护理模式在卒中后遗症患者中的应用研究
Xiuling Luo,Na Wang,Lei Tian et al.
Xiuling Luo et al.
Background: This study aimed to evaluate the effectiveness of a medical consortium-based continuous nursing model in patients with stroke sequelae. Method...
Explainable XGBoost model and nomogram for risk factor identification and risk prediction in cerebral small vessel disease: a machine learning-based retrospective cohort study [0.03%]
基于机器学习的回顾性队列研究中的可解释XGBoost模型和发条图表在脑小血管疾病的风险因素识别和风险预测中的应用
Xi Zhu,Xuhui Liu,Xujie Wang et al.
Xi Zhu et al.
Background: Cerebral small vessel disease (CSVD) is a common, clinically significant vascular disorder that frequently leads to cognitive impairment, dementia, and poor overall prognosis. Owing to its complex hemodynamic ...