Jianjun Zhang

Comparative effectiveness and safety of ondansetron-based dual versus triple antiemetic regimens for chemotherapy-induced nausea and vomiting

Xiang Yu, Ying Yuan, Guanglei Qiao, Wei Zheng et autres

Chemotherapy-induced nausea and vomiting remains a frequent complication of cytotoxic therapy and can compromise treatment tolerance and adherence. This retrospective propensity score-matched cohort study evaluated the comparative effectiveness and safety of ondansetron-based dual versus triple antiemetic regimens in patients receiving chemotherapy for …

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Exosome-mediated transfer of NOD2 from platelets to monocytes: a novel therapeutic target for atherosclerosis

Guanxing Pan, Zhiyong Qi, Xiaowen Wu, Lin Chang et autres

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Dynamic Coagulation Function Changes in COVID-19 Survivors With Coronary Artery Disease

Jianjun Zhang, Junqi Yin, Yucheng Jin, Zhe Qian et autres

Coronary artery disease (CAD) and Coronavirus disease 2019 (COVID-19) are both associated with a hypercoagulable state, yet the long-term interaction between these prothrombotic conditions remains poorly characterized. This study investigated dynamic changes in coagulation function among COVID-19 survivors with CAD over a …

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Chinese guidelines for minimally invasive surgery in liver transplant recipients (2025)

Xu‐Feng Zhang, Wei Lin, Junxi Xiang, Guoyue Lyu et autres

Liver transplantation is an effective treatment for end-stage liver disease. Liver transplantation is technically complex and associated with significant trauma. In recent years, minimally invasive surgical techniques, such as laparoscopy and robotic surgery, have rapidly developed and been widely applied in various …

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Epidemiological Trends and Predictive Modeling of Dengue Fever in the Association of Southeast Asian Nations (ASEAN) Countries

Qian Ren, Ruoxi Li, Xiaojun Liu, Hao Wei et autres

Dengue fever is one of the most important mosquito-borne diseases worldwide. The Association of Southeast Asian Nations (ASEAN) region is a high-incidence area for dengue fever and a primary source of imported cases in China. Based on the Global Burden of Disease …

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Development and validation of a minimally invasive diagnostic model for biliary atresia using artificial intelligence

Jingying Jiang, Rui Dong, Yinghua Sun, Yifan Yang et autres

BACKGROUND: Ultrasound and serum matrix metalloproteinase-7 (MMP-7) hold great value in distinguishing biliary atresia (BA) from other cholestatic diseases. This study aims to assess the accuracy of an artificial intelligence (AI) based diagnostic model of ultrasound combined with serum MMP-7 in discriminative …

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Squamous Non-Small Cell Lung Cancer: Current and Emerging Treatment Options

Paul K. Paik, Jianjun Zhang, Howard West, Jonathan Wesley Riess

Although the pharmacologic management of non-small cell lung cancer (NSCLC) has advanced substantially in the past 2 decades, disparities in the applicability to different histologic subtypes remain. Several treatment options are not suitable for squamous NSCLC, with use restricted to nonsquamous NSCLC …

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Abstract 1155: Highly CNS-penetrant tyrosine kinase inhibitors improve leptomeningeal overall survival in NSCLC patients with leptomeningeal disease

Xiuning Le, Kelsey Pan, Jianjun Zhang, Fangdi Sun et autres

Background: As survival rates in lung cancer patients continue to improve, leptomeningeal disease (LMD) has emerged as a critical area of unmet need, representing a devastating complication of NSCLC. CNS-penetrating tyrosine kinase inhibitors (TKIs) were developed for treating brain parenchymal metastases, but …

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A novel deep learning radiopathomics model for predicting carcinogenesis promotor cyclooxygenase-2 expression in common bile duct in children with pancreaticobiliary maljunction: a multicenter study

Huimin Mao, Jianjun Zhang, Bin Zhu, Wan‐liang Guo

OBJECTIVES: To develop and validate a deep learning radiopathomics model (DLRPM) integrating radiological and pathological imaging data to predict biliary cyclooxygenase-2 (COX-2) expression in children with pancreaticobiliary maljunction (PBM), and to compare its performance with single-modality radiomics, deep learning radiomics (DLR), and …

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Outcomes of liver transplantation of hepatoblastoma: single-center data in mainland China

Hongting Huang, Linman Li, Jianjun Zhu, Dongwei Xu et autres

Objective HB is the most common liver malignancy in children. Giving the rarity of the research reporting outcomes of LT for HB in China, updated long-term data are needed. The primary objective was to evaluate the outcomes of liver transplantation in HB. …

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Safety and preliminary efficacy of ATG-022 in patients with advanced/metastatic gastric cancer (CLINCH).

Jinfeng Ma, Dan Cao, Qun Zhao, Shehara Ramyalini Mendis et autres

456 Background: ATG-022 is an antibody-drug conjugate (ADC) targeting Claudin 18.2 (CLDN 18.2) tumor antigen broadly expressed in gastric and other solid tumors. ATG-022 consists of a humanized monoclonal antibody that binds to CLDN 18.2 with high affinity of sub-nM grade and …

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Value of radiomics and deep learning feature fusion models based on dce-mri in distinguishing sinonasal squamous cell carcinoma from lymphoma

Ziwei Zhang, Duo Zhang, Yunze Yang, Yang Liu et autres

Problem: Sinonasal squamous cell carcinoma (SNSCC) and sinonasal lymphoma (SNL) lack distinct clinical manifestations and traditional imaging characteristics, complicating the accurate differentiation between these tumors and the selection of appropriate treatment strategies. Consequently, there is an urgent need for a method that …

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