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Lijuan Dong

As seen in: Frontiers, Frontiers in Medicine, Frontiers in Public Health, MDPI, Taylor & Francis Online, Royal Society of Chemistry, Canadian Journal of Infectious Diseases & Medical Microbiology, International Journal of Antennas and Propagation, PeerJ, American Society for Horticultural Science and
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Articles

Frailty in peritoneal dialysis patients: a scoping review

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By Xinlan Hu, Jin Wang, Lijuan Dong, Leyao Zheng, Zhongci Zhong, Xiaoqiao Qiu
| Frontiers in Medicine
Abstract Objective: To conduct a scoping review of research on frailty in peritoneal dialysis (PD) patients, providing a basis for future studies. Methods: Following the scoping review reporting guidelines, a systematic search of domestic and international databases was performed for studies on frailty in PD patients from inception to April 10, 2026. Two researchers independently screened the literature and extracted data.
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The Chinese translation and cross-cultural adaptation of the adult Grit Psychological Resources Scale

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By Dongyang Wang, Fengting Nie, Ling Zhan, Shanghui Sun, Lijuan Dong, Wenlong Fan
| Frontiers
Abstract Objective: The purpose of this study is to translate the Grit Psychological Resources Scale (GPRS) for adults into Chinese and to evaluate the reliability and validity of the translated version in a Chinese population.
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Frontiers | Predicting cardiovascular events in hemodialysis patients based on the fusion of physicochemical indicators and tongue images: a prospective and multicenter study

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By Kun Zou, Fan Xiao, Shuang Cheng, Qingxiang Wang, Xiaohua He, Jin Wang, Lijuan Dong, Kun Bao, Wu Zhou, Daixin Zhao
| Frontiers
Abstract Background: Cardiovascular events (CVEs) are the leading cause of mortality in hemodialysis patients. Current prediction models rely on clinical and biochemical data, but non-invasive alternatives are needed. Inspired by the Traditional Chinese Medicine (TCM) principle that “the heart opens into the tongue,” this study investigated whether quantitative features from tongue images could enhance CVE prediction.
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