Explanipedia

Can Chinese patients restore normal knee function 1 year after total knee arthroplasty? Open

Yue Leon Guo, Hong Wu, Chang Xiaofeng, Huanli Bao, Shuxin Yao · 2025

Objective To develop a culturally adapted assessment tool for evaluating one-year postoperative knee function in Chinese patients after total knee arthroplasty (TKA), and to establish foundations for localized evaluation protocols and earl…

Duloxetine and pregabalin: High-dose monotherapy or their combination?—Study protocol for a randomized trial in patients with postoperative pain after total knee arthroplasty based on the classification of central sensitization inventory scores Open

Hong Wu, Shuxin Yao, Yuanchi Huang, Chao Xu, Jianbing Ma · 2025

Background Residual pain after total knee arthroplasty (TKA) often causes patient dissatisfaction. Patients with preoperative central sensitization (CS) are especially susceptible to chronic pain after TKA. Although duloxetine and pregabal…

Crosscultural adaptation and validation of the simplified Chinese version of the new knee society scoring system Open

Hong Wu, Dongping Wan, Yue Leon Guo, Huanli Bao, Zhao Yang , et al. · 2025

The new-KSS-CV is a reliable, valid, responsive, and consistent outcome measurement tool that can be used to evaluate the outcome of TKA in Chinese patients.

NDR1 enhances USP9X-mediated AR deubiquitination and promotes enzalutamide resistance in castration-resistant prostate cancer Open

Zeyuan Zheng, Jinxin Li, Yifan Du, Liyan Li, Qingqing Wu , et al. · 2025

Castration-resistant prostate cancer (CRPC) enzalutamide resistance is a significant issue in the current treatment of prostate cancer (PCa). Previously, nuclear Dbf2-related 1 (NDR1) was found to influence metastasis in PCa patients; howe…

Digital therapeutics for insomnia: an umbrella review and meta-meta-analysis Open

Can Li, Qi Luo, Hong Wu · 2025

The growing burden of insomnia underscores the necessity for accessible and effective treatments, with digital therapeutics offering a promising solution. A systematic search was conducted across seven databases (PubMed, Web of Science, EM…

Mechanisms Involved in Focal Adhesion Signaling Regulating Tumor Anoikis Resistance Open

Bin Liu, Qingqing Wu, Zuodong Xuan, Zeyuan Zheng, Yifan Du , et al. · 2025

Among the numerous malignant behaviors of tumors, metastasis plays a critical role in contributing to poor prognosis. Anoikis is a distinct form of apoptosis induced when cells detach from the extracellular matrix (ECM) or adhere to an imp…

Naps, night-time sleep and cognitive function among middle-aged and older people in China Open

Xiuxiu Zhou, Yongtong Tan, Di He, Hong Wu · 2025

Background There is increasing interest in how sleep affects cognitive function; however, the combined impact of naps and night-time sleep on different cognitive domains is still not well understood. This study investigates the relationshi…

ChatGPT-4.0 and DeepSeek-R1 does not yet provide clinically supported answers for knee osteoarthritis Open

Hong Wu, Shuxin Yao, Huanli Bao, Yue Leon Guo, Chao Xu , et al. · 2025

Promoting trust and intention to adopt health information generated by ChatGPT among healthcare customers: An empirical study Open

S.-X. Guo, Yang Song, G Chen, Huang Han, Hong Wu , et al. · 2025

Background As a representative product of generative artificial intelligence (GenAI), ChatGPT demonstrates significant potential to enhance healthcare outcomes and improve the quality of life for healthcare consumers. However, current rese…

Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning Open

Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu · 2025

Objective Acute kidney injury (AKI) poses a lethal risk in intensive care unit (ICU) patients, where early detection is challenging. This study was to establish a prediction model for AKI 24 hours in advance for ICU patients and to help cl…

ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry Open

Junjie Jiang, Hong Wu, Yongqi Zhang, S S Guo, Baozhong Liu , et al. · 2025

The Impact of Chatgpt on Students in The Context of Big Data Open

Hong Wu · 2024

In the current era of rapid development of artificial intelligence such as GPT, how to integrate new technologies such as GPT into the education industry and bring better education to students is a hot topic. Although human have many new t…

How do health content creators perform well? An integration research of short video and livestream behaviors Open

Jing Liu, 晴樹上野, Hong Wu, Rongyang Ma, Shanshan Guo , et al. · 2024

Introduction Short-video platforms have demonstrated vast potential for health education. To meet diverse user requirements, many short-video platforms have integrated livestreaming functionalities. This integration presents challenges for…

Prognostic Significance of Systemic Inflammation Response Index in Intrahepatic Cholangiocarcinoma Patients Open

Penghui He, Yinghao Lv, Zerong Xie, Hu Liu, Yan Huang , et al. · 2024

Research on the doctors’ win in crowdsourcing competitions: perspectives on service content and competitive environment Open

Xiuxiu Zhou, Shanshan Guo, Hong Wu · 2023

Multidimensional Internet Use, Social Participation, and Depression Among Middle-Aged and Elderly Chinese Individuals: Nationwide Cross-Sectional Study Open

Xiwang Du, Jiazhi Liao, Qing Ye, Hong Wu · 2023

Background There is growing evidence that the internet has beneficial effects on the mental health of middle-aged and older people (≥45 years), but the evidence is inconclusive, and the underlying mechanisms are less known. Objective This …

The impact of sensory impairments and eye diseases on cognitive function in elderly Chinese: The mediating effects of social participation Open

Xiuxiu Zhou, Hong Wu · 2023

We found that sensory impairments and eye diseases were negatively associated with cognitive function. Furthermore, sensory impairments and cataracts influence cognitive function partly via social participation. Our results have important …

The effects of information framing on self-protective behavior: Evidence from the COVID-19 vaccine uptake Open

Wei Zhang, Jie Mei, Richard Evans, Hong Wu · 2023

Objectives The Healthy China 2030 strategy outlines the government's plans for healthcare reform, emphasizing the need for increased awareness about infectious diseases to prevent and fight future infections. Information campaigns can be u…

Multidimensional Internet Use, Social Participation, and Depression Among Middle-Aged and Elderly Chinese Individuals: Nationwide Cross-Sectional Study (Preprint) Open

Xiwang Du, Jiazhi Liao, Qing Ye, Hong Wu · 2022

BACKGROUND There is growing evidence that the internet has beneficial effects on the mental health of middle-aged and older people (≥45 years), but the evidence is inconclusive, and the underlying mechanisms are less known. OBJECTIVE Th…

The effect of information overload and perceived risk on tourists’ intention to travel in the post-COVID-19 pandemic Open

Hong Wu, Qi Cao, Jia-Min Mao, Hui-Ling Hu · 2022

Since the COVID-19 pandemic, the tourism economy has been seriously affected. China has implemented a direct traveling management mechanism and recovered from the pandemic faster than the rest of the world. However, the COVID-19 situation …

Patient's decision and experience in the multi-channel appointment context: An empirical study Open

Qing Ye, Hong Wu · 2022

Background Long waiting time for treatment in the outpatient department has long been a complaint and has influenced patient's experience. It is critical to schedule patients for doctors to reduce patient's waiting time. Nowadays, multi-ch…

Pregnant women's coping strategies, participation roles and social support in the online community during the COVID-19 Open

Xueqin Lei, Hong Wu, Qing Ye · 2022

Building patients’ trust in psychologists in online mental health communities Open

Hong Wu, Zhaohua Deng, Richard Evans · 2022

Sufferers’ mental illnesses experience changes in communication, cognition, and behavior, exposing differences in social behavior and relationships. Many who suffer from mental health problems notice that the reduced communication ability …

Retraction Note: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China Open

Rongyang Ma, Hong Wu, Zhaohua Deng · 2021

This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1186/s12889-021-12352-w

The Predictive Value of Myoglobin for COVID-19-Related Adverse Outcomes: A Systematic Review and Meta-Analysis Open

Chaoqun Ma, Dingyuan Tu, Jiawei Gu, Qiang Xu, Pan Hou , et al. · 2021

Objective: Cardiac injury is detected in numerous patients with coronavirus disease 2019 (COVID-19) and has been demonstrated to be closely related to poor outcomes. However, an optimal cardiac biomarker for predicting COVID-19 prognosis h…

Peer Review #2 of "Prediction of COVID-19 epidemic situation via fine-tuned IndRNN (v0.1)" Open

Zhonghua Hong, Ziyang Fan, Xiaohua Tong, Ruyan Zhou, Haiyan Pan , et al. · 2021

The COVID-19 pandemic is the most serious catastrophe since the Second World War.To predict the epidemic more accurately under the influence of policies, a framework based on Independently Recurrent Neural Network (IndRNN) with fine-tuning…

Peer Review #1 of "Prediction of COVID-19 epidemic situation via fine-tuned IndRNN (v0.1)" Open

Zhonghua Hong, Ziyang Fan, Xiaohua Tong, Ruyan Zhou, Haiyan Pan , et al. · 2021

The COVID-19 pandemic is the most serious catastrophe since the Second World War.To predict the epidemic more accurately under the influence of policies, a framework based on Independently Recurrent Neural Network (IndRNN) with fine-tuning…

Prediction of COVID-19 epidemic situation via fine-tuned IndRNN Open

Zhonghua Hong, Ziyang Fan, Xiaohua Tong, Ruyan Zhou, Haiyan Pan , et al. · 2021

The COVID-19 pandemic is the most serious catastrophe since the Second World War. To predict the epidemic more accurately under the influence of policies, a framework based on Independently Recurrent Neural Network (IndRNN) with fine-tunin…

Peer Review #2 of "Prediction of COVID-19 epidemic situation via fine-tuned IndRNN (v0.2)" Open

Zhonghua Hong, Ziyang Fan, Xiaohua Tong, Ruyan Zhou, Haiyan Pan , et al. · 2021

The COVID-19 pandemic is the most serious catastrophe since the Second World War.To predict the epidemic more accurately under the influence of policies, a framework based on Independently Recurrent Neural Network (IndRNN) with fine-tuning…

Patient Decision and Experience in the Multi-channel Appointment Context: An Empirical Study (Preprint) Open

Qing Ye, Hong Wu · 2021

BACKGROUND Long waiting time for treatment in the outpatient department has long been a complaint and influence patient experience. It is critical to schedule patients for doctors to reduce patient waiting time. Nowadays, the multi-channe…

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