日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Association of Obesity and Malnutrition with In-Hospital Mortality and Clinical Outcomes in Patients Receiving Maintenance Dialysis: A National Database Study

肥胖和营养不良与接受维持性透析患者的院内死亡率和临床结局之间的关联:一项基于国家数据库的研究

Wathanavasin, Wannasit; Kaewput, Wisit; Thongprayoon, Charat; Tangpanithandee, Supawit; Suppadungsuk, Supawadee; Cheungpasitporn, Wisit

Temporal Trends and Clinical Impact of Malnutrition on In-Hospital Outcomes Among Patients with Advanced Chronic Kidney Disease: A Nationwide Inpatient Analysis

营养不良对晚期慢性肾脏病患者住院结局的时间趋势和临床影响:一项全国住院患者分析

Wathanavasin, Wannasit; Thongprayoon, Charat; Kaewput, Wisit; Tangpanithandee, Supawit; Suppadungsuk, Supawadee; Cheungpasitporn, Wisit

Racial disparities in in-hospital outcomes and costs among U.S. patients on peritoneal dialysis: a 15-year national cohort study

美国腹膜透析患者住院结局和费用方面的种族差异:一项为期15年的全国队列研究

Thongprayoon, Charat; Arriola-Montenegro, Jose; Kaewput, Wisit; Suppadungsuk, Supawadee; Tangpanithandee, Supawit; Mohan, Arjunmohan; Ordaya-Gonzales, Karina; Wathanavasin, Wannasit; Cheungpasitporn, Wisit

Comparison of obesity prevalence and associated factors among Thai patients with type 2 diabetes between 2014 and 2018

2014年至2018年泰国2型糖尿病患者肥胖患病率及相关因素比较

Poochanasri, Methavee; Kookanok, Chutawat; Kaewput, Wisit; Rangsin, Ram; Sathavarodom, Nattapol; Boonyavarakul, Apussanee; Samakkarnthai, Parinya

Critical appraisal of systematic reviews and meta-analyses: a step-by-step guide for nephrologists

系统评价和荟萃分析的批判性评价:肾脏科医生的分步指南

Cheungpasitporn, Wisit; Wathanavasin, Wannasit; Thongprayoon, Charat; Kaewput, Wisit; Tapolyai, Mihály; Fülöp, Tibor

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology

肾脏病学同行评审员实用指南:评估肾脏病学领域的人工智能和机器学习研究

Wang, Yanni; Cheungpasitporn, Wisit; Ali, Hatem; Qing, Jianbo; Thongprayoon, Charat; Kaewput, Wisit; Soliman, Karim M; Huang, Zhengxing; Yang, Min; Zhang, Zhongheng

Triglyceride to high-density lipoprotein ratio as a predictor for 10-year cardiovascular disease in individuals with diabetes in Thailand

甘油三酯与高密度脂蛋白比值作为泰国糖尿病患者10年心血管疾病的预测指标

Poochanasri, Methavee; Lertsakulbunlue, Sethapong; Kookanok, Chutawat; Rangsin, Ram; Kaewput, Wisit; Mungthin, Mathirut; Samakkarnthai, Parinya

Distinct Subtypes of Hepatorenal Syndrome and Associated Outcomes as Identified by Machine Learning Consensus Clustering

基于机器学习共识聚类的肝肾综合征不同亚型及其相关结局

Tangpanithandee, Supawit; Thongprayoon, Charat; Krisanapan, Pajaree; Mao, Michael A; Kaewput, Wisit; Pattharanitima, Pattharawin; Boonpheng, Boonphiphop; Cheungpasitporn, Wisit

Distinct clinical profiles and post-transplant outcomes among kidney transplant recipients with lower education levels: uncovering patterns through machine learning clustering

低教育水平肾移植受者独特的临床特征和移植后结局:通过机器学习聚类揭示模式

Thongprayoon, Charat; Miao, Jing; Jadlowiec, Caroline; Mao, Shennen A; Mao, Michael; Leeaphorn, Napat; Kaewput, Wisit; Pattharanitima, Pattharawin; Garcia Valencia, Oscar A; Tangpanithandee, Supawit; Krisanapan, Pajaree; Suppadungsuk, Supawadee; Nissaisorakarn, Pitchaphon; Cooper, Matthew; Cheungpasitporn, Wisit

Differences between Kidney Transplant Recipients from Deceased Donors with Diabetes Mellitus as Identified by Machine Learning Consensus Clustering

利用机器学习共识聚类方法识别糖尿病已故捐献者肾移植受者之间的差异

Thongprayoon, Charat; Miao, Jing; Jadlowiec, Caroline C; Mao, Shennen A; Mao, Michael A; Leeaphorn, Napat; Kaewput, Wisit; Pattharanitima, Pattharawin; Tangpanithandee, Supawit; Krisanapan, Pajaree; Nissaisorakarn, Pitchaphon; Cooper, Matthew; Cheungpasitporn, Wisit