Interpretable bioimpedance-based modeling of body composition and metabolic indices related to physical function in maintenance hemodialysis patients [0.03%]
基于生物阻抗的终末期肾病维持性血液透析患者身体组成和代谢指标的可解释建模研究
Jiahui Ding,Yanjuan Teng
Jiahui Ding
Objective: In maintenance hemodialysis (MHD) patients, muscle wasting and altered body composition are major determinants of reduced physical function. This study aimed to identify the key body composition features associ...
Association between the newly proposed Chinese dietary inflammatory index and risk of ischemic stroke: a multi-centered case-control study [0.03%]
新型中国饮食炎症指数与缺血性卒中的关联：一项病例对照研究
Xiyu Chen,Huacheng Xu,Zhen Feng
Xiyu Chen
Background: Inflammation is a key mechanism in ischemic stroke pathogenesis. This study investigates the association between the Chinese Dietary Inflammatory Index (CHINA-DII) and ischemic stroke risk in a Chinese populat...
Association between meat and fish intake and kidney stone risk: a cross-sectional food frequency questionnaire study in a Chinese population [0.03%]
肉类和鱼类摄入与泌尿系结石风险的关系——一项中国人群横断面膳食频率问卷调查研究
Xiaowen Zhang,Jianhua Li,Xiangyu Zhang et al.
Xiaowen Zhang et al.
Background: Dietary factors, particularly meat and fish intake, may influence kidney stone formation, but evidence in the Chinese population is limited. O...
Risk stratification of composite adverse outcomes after percutaneous nephrolithotomy based on preoperative inflammatory-nutritional status and stone complexity: a single-center retrospective study [0.03%]
基于术前炎症-营养状态和结石复杂度的经皮肾镜取石术后不良结局复合风险分层：单中心回顾性研究
Yu Qiu,Decai Ji,Guowang Du
Yu Qiu
Objective: To investigate the predictive value of preoperative inflammatory-nutritional status and stone complexity for composite adverse outcomes following percutaneous nephrolithotomy (PCNL), and to develop a clinical r...
Dietary index for gut microbiota score is inversely associated with carotid calcified plaque score in ischemic stroke patients [0.03%]
缺血性卒中患者的肠道微生物群得分与颈动脉钙化斑块评分呈负相关
Yichao Guan,Dujuan Chang
Yichao Guan
Background: Diet influences gut microbiota-derived metabolites, which may affect vascular inflammation and calcification. The Dietary Index for Gut Microbiota (DI-GM) captures dietary patterns hypothesized to support favo...
Nutritional risk score drives postoperative morbidity in colorectal cancer: findings from a LASSO-selected multivariable model in 1013 consecutive patients [0.03%]
营养风险评分驱动结直肠癌术后并发症发生：1013例连续患者的多因素模型筛选及分析
Lu Wang,Shun Wang,Liqin Deng
Lu Wang
Background: Postoperative complications afflict approximately 40% of patients undergoing colorectal cancer (CRC) surgery and adversely affect long-term oncological outcomes. Reliable perioperative risk stratification tool...
Javier Gómez-Ambrosi,Isabel María Vegas-Aguilar,María Del Mar Amaya-Campos et al.
Javier Gómez-Ambrosi et al.
Introduction: Achondroplasia is characterized by disproportionate short stature, yet little is known about how growth patterns and body composition differ from peers during childhood and adolescence. We aimed to compare a...
A 6-week ketogenic diet in treatment-resistant depression: a prospective single-arm feasibility pilot trial [0.03%]
一项为期6周的生酮饮食治疗难治性抑郁的可行性单臂试点试验
Cemre Cukaci,Ulrich Rabl,Richard Frey
Cemre Cukaci
Background: Prior evidence for the ketogenic diet (KD) interventions in treatment-resistant depression (TRD) was very limited when recruitment for the present pilot trial began on 1 November 2023. This pilot trial aimed t...
Connecting the dots: internet access, income, and clean cooking energy adoption among rural households in Pakistan [0.03%]
互联互通：巴基斯坦农村家庭收入、互联网接入与清洁烹饪能源采用之间的关系研究
Nawab Khan,Xuanguo Xu
Nawab Khan
Access to clean cooking energy is critical for improving rural health and environmental sustainability. However, adoption remains limited in many developing regions due to financial, infrastructural, and informational constraints. Drawing o...
Exploring the potential of large language models in nutrition behavior prediction: evidence from college students [0.03%]
探索大型语言模型在营养行为预测中的潜力：来自大学生的证据
Misha M Madhavan,Satyapriya,Subhashree Sahu et al.
Misha M Madhavan et al.
Introduction: The integration of Artificial Intelligence (AI) and Large Language Models (LLMs) in behavioral nutrition is expanding rapidly to predict the behavioral data. Recent developments in LLM-assisted analytical to...