bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model
Authors: Abebe Solomon Abuhay , Endehabtu Berhanu Fikadie , Walle Agmasie Damtew , Hailu Debela Tsegaye , Yeshaneh Ayenew Tilahun , Dres Eshetie Andargie , Yimmam Mengestu Tesfaye , Gashu Kassahun Dessie 
Published: September 2024

IntroductionChronic diseases are the leading causes of death in the world. In sub-Saharan Africa, it leads to more mortality than almost every other region in the world. Currently, digital health technology like personal health records plays a crucial role in managing patients with chronic diseases. In low-resource countries like Ethiopia, it is uncertain how many chronic patients intend to use PHRs and the accompanying circumstances. Hence, the aim of this study was to assess chronic patients’ intention to use PHRs and its predictors enrolled in public health hospitals in Bahir Dar city, northwest Ethiopia.MethodAn institutional-based cross-sectional study was conducted among 924 respondents from April 5 to May 9, 2023, in Bahir-Dar city public hospitals. A stratified sampling technique followed by a systematic sampling technique was applied to select the study participants. An interviewer-administrated questionnaire was conducted using Kobo Collect. A UTAUT2 model was applied to develop theoretical frameworks. SPSS version 25 software was used to estimate the descriptive statistics, and the structural equation model analysis was used to evaluate model constructs using AMOS version 21 software.ResultsIn this study, a total of 908 study subjects participated. The proportion of chronic patients’ intention to use PHR was 46.7% [95.0% CI (43.4–50.1)]. According to the findings, performance expectancy (β = 0.259, p-value &lt;0.001), effort expectancy (β = 0.214, p-value &lt;0.001), social influence (β = 0.174, p-value &lt;0.001), and facilitating condition (β = 0.114, p-value &lt;0.01) had a significant effect on the intention to use PHRs.ConclusionGenerally, the overall intention to use PHR was low. Our finding illustrates that the effects of performance expectancy, effort expectancy, social influence, and facilitating conditions had a positive effect on patients’ intentions to use PHRs. The effect of effort expectancy on the intention to use a PHR was positively moderated by age. Since the findings of this study would help policymakers and programmers to future academics interested in this area and insight to future research workers. Therefore, implementers should focus on improving patient capacity, motivating users, and raising awareness regarding PHR.
Mapping the relationship between atopic dermatitis and gut microbiota: a bibliometric analysis, 2014–2023
Authors: Wang Yilin , Wang Bingkun , Sun Shiyou , Wang Zhongzhi 
Published: September 2024

BackgroundAtopic dermatitis (AD) is a chronic inflammatory skin condition affecting a significant portion of the population, with prevalence rates of 25% in children and 7–10% in adults. AD not only poses physical challenges but also profoundly impacts patients’ mental well-being and quality of life. The stability of gut microbiota is crucial for overall health and can influence AD progression by modulating immune function, skin barrier integrity, and neuroendocrine signaling, which may be an effective target for the prevention and treatment of AD. Thus, exploring the interactions between AD and gut microbiota, particularly in infants, can provide insights into potential preventive and therapeutic strategies. This study aimed to explore the correlation between AD and gut microbiota while providing an overview of current research trends and emerging areas of interest in this field.MethodsA comprehensive search was conducted on the Web of Science Core Collection (WOSCC) for relevant publications from January 1, 2014, to December 31, 2023. English-language articles and reviews were included. Two investigators independently screened the publications, and visual analysis was performed using CiteSpace, VOSviewer, Scimago Graphica, and Microsoft Excel software.ResultsA total of 804 articles were included, showing a significant increase in publications over the past decade. The United States, Wageningen University, and University Ulsan (represented by Hong SJ) had the highest number of published papers. Nutrients was the journal with the most publications, while the Journal of Allergy and Clinical Immunology had the highest number of citations and centrality among co-cited journals. Keyword visualization analysis identified “atopic dermatitis” and “gut microbiota” as central themes. Notably, there has been a notable shift in research focus over the years, with early studies concentrating on “Fecal microbiota,” “caesarean section,” and “first 6 months,” while recent studies have highlighted the roles of “cells,” “dysbiosis,” and “prebiotics.” This shift indicates growing interest in the underlying mechanisms and potential therapeutic interventions related to the intestinal microecology in AD treatment.ConclusionThe field of AD and gut microbiota research has evolved significantly, with an increasing focus on understanding the intricate interactions between gut microbiota and AD pathogenesis. Recent years have witnessed increased interest in understanding the relationship between AD and gut microbiota, with researchers conducting extensive studies exploring various aspects of this connection. This review analyzes research trends over the past decade, highlighting trends and hotspots in the study of AD, particularly in infants, and the role of microbiota. This review serves as a valuable reference for future investigations, aiming to provide deeper insights into this burgeoning field and suggests directions for future research.
iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons
Authors: Chen Hui , Wang Xiangyang , Xiao Yang , Wu Beixian , Wang Zhuo , Liu Yao , Wang Peiyi , Chen Chunjie , Wu Xinyu 
Published: September 2024

IntroductionWearable exoskeletons assist individuals with mobility impairments, enhancing their gait and quality of life. This study presents the iP3T model, designed to optimize gait phase prediction through the fusion of multimodal time-series data.MethodsThe iP3T model integrates data from stretch sensors, inertial measurement units (IMUs), and surface electromyography (sEMG) to capture comprehensive biomechanical and neuromuscular signals. The model's architecture leverages transformer-based attention mechanisms to prioritize crucial data points. A series of experiments were conducted on a treadmill with five participants to validate the model's performance.ResultsThe iP3T model consistently outperformed traditional single-modality approaches. In the post-stance phase, the model achieved an RMSE of 1.073 and an R2 of 0.985. The integration of multimodal data enhanced prediction accuracy and reduced metabolic cost during assisted treadmill walking.DiscussionThe study highlights the critical role of each sensor type in providing a holistic understanding of the gait cycle. The attention mechanisms within the iP3T model contribute to its interpretability, allowing for effective optimization of sensor configurations and ultimately improving mobility and quality of life for individuals with gait impairments.
Association between weight-adjusted waist index and overactive bladder: a cross-sectional study based on 2009–2018 NHANES
Authors: Hui Zeng , Zewu Zhu , Yang Li , Yu Cui 
Published: September 2024

BackgroundThe weight-adjusted waist index (WWI) is a novel obesity indicator that appears to outperform the body mass index (BMI) and waist circumference (WC) in assessing both overweight and obesity. Studies have demonstrated the relationship between obesity and overactive bladder (OAB). The purpose of this study is to examine the correlation between WWI and OAB.MethodsThis research utilizes data from the National Health and Nutrition Examination Survey (NHANES) collected between 2009 and 2018. Each participant’s WWI was calculated as their WC in centimeters by the square root of weight in kilograms. The Overactive Bladder Symptom Score (OABSS) questionnaire is used to determine whether a participant has OAB. Multivariate logistic regression and generalized additive model analysis were employed to investigate the relationship between WWI and OAB. We used smoothing curve fitting to explore non-linear relationships. Additionally, subgroup analysis and interaction tests are conducted.ResultsIn this cross-sectional study involving 35,950 subjects, we found that individuals with a higher WWI have a higher risk of OAB (OR = 1.41, 95% CI: 1.02–1.74). Subgroup analysis and interaction testing showed that the relationship between WWI and OAB is consistent across various population characteristics. Smoothing curve fitting reveals a positive non-linear relationship between WWI and OAB. Furthermore, the association between WWI and OAB is stronger than that of other obesity-related indicators.ConclusionWeight-adjusted waist index may be able to predict the incidence of OAB and that WWI-based obesity management may help to reduce the risk of OAB.
Association of non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) with prognosis in cancer survivors: a population-based study in the United States
Authors: Xie Wenxia , Liu Huizhuo , Lin Qiaoxin , Lian Liyou , Liang Bin 
Published: September 2024

BackgroundPatients with cancer frequently exhibit alterations in serum lipid profiles associated with chemotherapy. It has been reported that lipid distribution in cancer correlates with tumor progression. However, the prognostic value of serum lipid biomarkers in cancer survivors remains a subject of debate. We aim to explore the relationship between non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) and the prognosis of cancer survivors.MethodsIn this study, we analyzed cancer survivor data from the National Health and Nutrition Examination Survey (NHANES) from 1999–2000 to 2017–2018. The study included prospective cohorts that included total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) levels as well as mortality data. Weighted multivariate cox regression models, competing risk models and restricted cubic spline (RCS) models were applied to investigate the association between NHHR and cancer survival. Subgroup and sensitivity analyses were performed to test the robustness of the results.ResultsThis study involved 4,177 participants, representing about 19.6 million U.S. adults. After adjustment for various factors, the lower NHHR group (≤1.64) had a 31% (HR 1.31; 95% CI [1.11,1.54], p = 0.001) higher risk of death from any cause compared to the higher NHHR group. The link between NHHR and mortality remained stable across most subgroups, with notable interactions for smoking (p = 0.006) and diabetes status (p = 0.046). A J-shaped pattern was observed between NHHR and all-cause mortality, significantly among obesity-related cancer survivors (overall association test p-value = 0.0068, non-linear association test p-value = 0.0016). However, a non-significant negative correlation was observed for cancer-specific mortality (overall association test p-value = 0.48, non-linear association test p-value = 0.66). Considering the competitive risk of heart disease and cancer-specific mortality, there is no difference between the high and low NHHR groups, while the low NHHR group showed an increased risk of non-specific causes of death (p &lt; 0.001).ConclusionThe results of this study suggest that NHHR is an important indicator that is strongly associated with all-cause mortality in cancer survivors, and that this relationship may be influenced by the interaction of diabetes and smoking status. This finding may provide important information for future research and patient management.
Clinical value of fibroblast growth factor 19 in predicting gastrointestinal dysfunction in patients with sepsis
Authors: Guan Linsai , Wang Feiyao , Chen Jingni , Xu Yanxin , Zhang Weixing , Zhu Jianping 
Published: September 2024

ObjectiveTo assess the potential value of fibroblast growth factor 19 (FGF19) as a predictor of gastrointestinal (GI) dysfunction in patients with sepsis.MethodsA prospective study was conducted, and 209 patients who were diagnosed with sepsis and admitted to the intensive care unit (ICU) at teaching hospitals in China were enrolled from June 2023 to December 2023. The serum FGF19 level was determined at ICU admission. The differences in serum FGF19 levels between the two groups were compared via the Mann–Whitney U test, and Spearman’s correlation coefficient was used to identify the correlations of the FGF19 concentration with other clinical variables and biomarkers. Receiver operating characteristic (ROC) analysis was used to determine the value of FGF19 in predicting GI dysfunction in patients with sepsis.ResultsThe total ICU mortality rate was 13.3% (24/180). There was a tendency toward increased ICU mortality in patients with sepsis-associated GI dysfunction compared with patients without GI dysfunction with statistical significance (21.9% vs. 8.6%, p = 0.031). Serum FGF19 levels were significantly higher in patients with sepsis-associated GI dysfunction than in patients without GI dysfunction [355.1 (37.2, 2315.4) μg/mL vs. 127.4 (5.7, 944.2) μg/mL, p = 0.003]. The results of receiver operating characteristic (ROC) curve analysis revealed that the area under the ROC curve (AUC) for the ability of FGF19 to predict GI dysfunction in patients with sepsis was 0.773 (95% CI 0.712 ~ 0.827), which was greater than the predictive capacity of PCT [AUC = 0.632 (95% CI 0.562 ~ 0.804)].ConclusionSerum FGF19 could be considered as a novel predictor or biomarker of GI dysfunction in patients with sepsis.
Effects of nano-Rhodiola rosea combined with treadmill exercise on anti-exercise fatigue in rats
Authors: Wang Jibing , Zhang Guoyan , Wang Duona , Yan Yuanyuan , Yang Qin 
Published: September 2024

ObjectiveTo explore the potential strategies and mechanisms for enhancing the bioavailability of Rhodiola rosea.Methods36 Sprague–Dawley rats (8-weeks-old) were randomly assigned to six groups (n = 6 per group). Groups I and II received nano-dose forms of R. rosea, groups III and IV received normal dose form of R. rosea, and groups V and VI served as distilled water control groups. Groups II, IV, and VI were combined with moderate -intensity treadmill exercise. Each group received a daily gavage with 0.5 mL of nano -R. rosea solution (0.01 mg/mL), normal R. rosea solution, and distilled water. All rats were subjected to exhaustive swimming after 4 weeks. Outcome measures include GSH-px activity, T-AOC activity, MDA content, hepatic glycogen content, and T-SOD activity.ResultsFor plasma MDA content, group I was lower than group III (p &lt; 0.01) and group V (p &lt; 0.01), group II was lower than group III (p &lt; 0.01), group VI was higher than group II (p &lt; 0.05) and group IV (p &lt; 0.05). For plasma T-AOC activity, group II was higher than group VI (p &lt; 0.01). For plasma GSH-px activity, group I was lower than group IV (p &lt; 0.05), groups II, III, and IV were higher than group V (p &lt; 0.05), and group V was lower than that of group VI (p &lt; 0.05). For T-SOD activity of quadriceps muscle, groups I and III were higher than that in group V (p &lt; 0.05).ConclusionR. rosea has a positive effect on anti-exercise fatigue in rats, with the nano-dosage form of R. rosea showing more significant efficacy than the normal form especially combined with aerobic exercise.
A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer
Authors: Zhao Ziqi , Hu Boqian , Xu Kun , Jiang Yizhuo , Xu Xisheng , Liu Yuliang 
Published: September 2024

BackgroundCervical cancer, a severe threat to women’s health, is experiencing a global increase in incidence, notably among younger demographics. With artificial intelligence (AI) making strides, its integration into medical research is expanding, particularly in cervical cancer studies. This bibliometric study aims to evaluate AI’s role, highlighting research trends and potential future directions in the field.MethodsThis study systematically retrieved literature from the Web of Science Core Collection (WoSCC), employing VOSviewer and CiteSpace for analysis. This included examining collaborations and keyword co-occurrences, with a focus on the relationship between citing and cited journals and authors. A burst ranking analysis identified research hotspots based on citation frequency.ResultsThe study analyzed 927 articles from 2008 to 2024 by 5,299 authors across 81 regions. China, the U.S., and India were the top contributors, with key institutions like the Chinese Academy of Sciences and the NIH leading in publications. Schiffman, Mark, featured among the top authors, while Jemal, A, was the most cited. ‘Diagnostics’ and ‘IEEE Access’ stood out for publication volume and citation impact, respectively. Keywords such as ‘cervical cancer,’ ‘deep learning,’ ‘classification,’ and ‘machine learning’ were dominant. The most cited article was by Berner, ES; et al., published in 2008.ConclusionsAI’s application in cervical cancer research is expanding, with a growing scholarly community. The study suggests that AI, especially deep learning and machine learning, will remain a key research area, focusing on improving diagnostics and treatment. There is a need for increased international collaboration to maximize AI’s potential in advancing cervical cancer research and patient care.
Peripheral neurotoxicity induced by albumin-bound paclitaxel: a case report
Authors: Li Xiaojing , Wu Liuting , Bai Dunyao , Li Juan 
Published: September 2024

BackgroundDespite its excellent therapeutic efficacy, albumin-bound paclitaxel often leads to peripheral neurotoxicity, significantly affecting patients’ quality of life. This study reported a case of non-small cell lung cancer (NSCLC) with peripheral neurotoxicity induced by albumin-bound paclitaxel.Case presentationA 70-year-old male was admitted to the Hubei Cancer Hospital complaining of left-side limb weakness and numbness for one month following the first cycle of albumin paclitaxel plus cisplatin plus tislelizumab regimen for the right-side NSCLC in December 2021. Chest CT displayed a soft tissue density mass in the apical segment of the right upper lung lobe (5.5×4.9 cm2). Immunohistochemistry results and CT-guided percutaneous lung biopsy confirmed NSCLC stage cT3NXMX. The pain and numbness in both feet were alleviated after the first cycle of this regimen of liposomal paclitaxel 240 mg plus cisplatin 90 mg plus tislelizumab 200 mg. After four treatment cycles, the tumor treatment was evaluated as partial response (PR), and the tumor lesion became 2.9×2.7 cm2.ConclusionThe regimen containing liposomal paclitaxel, cisplatin, and tislelizumab alleviated the symptoms of peripheral neurotoxicity induced by albumin-bound paclitaxel in an NSCLC case, which may be a potential therapeutic option.
Safety and outcome of children, adolescents and young adults participating in phase I/II clinical oncology trials: a 9-year center experience
Authors: Pujol Manresa Anna , Buendía López Susana , Andión Maitane , Herrero Blanca , Lassaletta Álvaro , Ramirez Manuel , Ruano David , Hernández-Marqués Carmen , Varo Amalia , de Rojas Teresa , Cortés Hernández Marta , Verdú-Amorós Jaime , Martín Prado Silvia , Artigas Andrea , Redondo Esther , Ruiz Pato Julia , Herreros López Pilar , Sevilla Julián , Madero Luis , Moreno Lucas , Bautista Sirvent Francisco , Rubio-San-Simón Alba 
Published: September 2024

IntroductionEnrolling children with cancer in early phase trials is crucial to access innovative treatments, contributing to advancing pediatric oncology research and providing tailored therapeutic options. Our objective is to analyze the impact of these trials on patient outcomes and safety, and to examine the evolution and feasibility of trials in pediatric cancer over the past decade.MethodsAll patients recruited in pediatric anticancer phase I/II clinical trials from January 2014 to December 2022 were included. Clinical records and trial protocols were analyzed.ResultsA total of 215 patients (median age 11.2 years, range 1–29.5) were included in 52 trials (258 inclusions). Patients with extracranial solid tumors (67%), central nervous system (CNS) tumors (24%), and leukemia (9%) were included. The most common investigational drugs were small molecules (28.3%) and antibodies (20.5%). Serious adverse events were experienced by 41% of patients, 4.4% discontinued treatment because of toxicity and two had toxic deaths. Median event-free survival was 3.7 months (95%CI: 2.8–4.5), longer in phase II trials than in phase I (2 vs. 6.3 months; p ≤ 0.001). Median overall survival was 12 months (95%CI: 9–15), higher in target-specific vs. non-target-specific trials (14 vs. 6 months; p ≤ 0.001).DiscussionA significant and increasing number of patients have been included in early clinical trials, suggesting that both oncologists and families consider it valuable to be referred to specialized Units to access new therapies. Moreover, our data suggests that participation in early clinical trials, although not without potential toxicities, might have a positive impact on individual outcomes.
Ameliorating effect of chotosan and its active component, Uncaria hook, on lipopolysaccharide-induced anxiety-like behavior in mice
Authors: Okawa Yasumasa , Ushio Soichiro , Izushi Yasuhisa , Kitamura Yoshihisa , Zamami Yoshito , Sendo Toshiaki 
Published: September 2024

IntroductionIn this study, we aimed to examine the effects of chotosan, a traditional Japanese botanical drug, and its active component, Uncaria hook, on anxiety-like behaviors induced by systemic inflammation in mice.MethodsTo induce systemic inflammation, the mice were treated with lipopolysaccharide (LPS), a bacterial endotoxin. Prior to LPS treatment, the mice were administered chotosan or Uncaria hook orally each day for 14 days. Anxiety-like behavior of the mice was evaluated using the light–dark test 24 h after LPS treatment.ResultsRepeated administration of chotosan prevented anxiety-like behavior in both normal and LPS-treated mice. Similarly, administration of Uncaria hook suppressed LPS-induced anxiety-like behavior in mice. Furthermore, treatment with tandospirone, a 5-HT1A receptor agonist, alleviated anxiety-like behavior in mice, whereas treatment with DOI, a 5-HT2A receptor agonist, enhanced anxiety-like behavior in mice. LPS treatment significantly increased serotonin (5-HT)2A receptor mRNA expression in the frontal cortex, whereas 5-HT1A receptor mRNA expression remained unchanged in the hippocampus. Notably, chotosan significantly suppressed the mRNA expression of 5-HT2A receptor.DiscussionThese findings indicate that chotosan exerts anxiolytic-like effects in the context of inflammation-induced anxiety, potentially mediated by the inhibition of 5-HT2A receptor hyperfunction in LPS-treated mice. Consequently, we postulate that chotosan may be effective in managing inflammation-induced anxiety-like behaviors.