Search Articles

View query in Help articles search

Search Results (1 to 10 of 1851 Results)

Download search results: CSV END BibTex RIS


Treatment of Erythematotelangiectatic Rosacea With Collateral Puncture Therapy: Protocol for a Randomized Controlled Trial

Treatment of Erythematotelangiectatic Rosacea With Collateral Puncture Therapy: Protocol for a Randomized Controlled Trial

Ying et al [34] found that collateral puncture therapy can reduce the levels of interleukin-1 β, granulocyte-macrophage colony stimulating factor, tumor necrosis factor α, interleukin-6, and cyclooxygenase-2, while increasing the levels of interleukin-4 and interferon γ. This suggests that collateral puncture therapy enhances the levels of anti-inflammatory cytokines and inhibits the expression of pro-inflammatory cytokines, thereby exerting an anti-inflammatory effect.

Aolin Song, Bingnan Cui, Xuemin Wang, Jianing Bi, Xiaohong Wu, Liu Yang, Li Liu, Shengyuan Qu, Zhu Fan, Jiao Yang, Yuhe Yan

JMIR Res Protoc 2025;14:e59682

Evaluating the Characteristics and Outcomes of Acute Pharmaceutical Exposure in Children: 5-Year Retrospective Study

Evaluating the Characteristics and Outcomes of Acute Pharmaceutical Exposure in Children: 5-Year Retrospective Study

The study also found that almost all asymptomatic children had normal laboratory results, consistent with Wang et al’s [35] study in the United States, which found no positive results in extensive screening and electrocardiography tests for asymptomatic children aged 12 years or younger. Therefore, the necessity of these tests in asymptomatic children with accidental drug overdoses remains debatable.

Zhu Yan Duan, Yan Ning Qu, Rui Tang, Jun Ting Liu, Hui Wang, Meng Yi Sheng, Liang Liang Wang, Shuang Liu, Jiao Li, Lin Ying Guo, Si Zheng

JMIR Pediatr Parent 2025;8:e66951

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis

In contrast, other studies, such as Li et al [19] and Wang et al [20], observed considerably lower performance, with AUC values of 0.72 and 0.73, respectively. These discrepancies can be attributed to factors such as data quality, sample size, and model architecture. Low-quality datasets, such as retrospective studies or single-center studies, may introduce selection bias and limit the generalizability of models, thereby affecting the reliability of radiomics approaches in clinical practice [21].

Lizhen She, Yunfeng Li, Hongyong Wang, Jun Zhang, Yuechen Zhao, Jie Cui, Ling Qiu

J Med Internet Res 2025;27:e71091