bluuebunny/crossref_metadata_2025_split huggingface dataset:
The clinical differences between traumatic and NOS chronic subdural hematoma
Authors: Yang Yongxiang , Zhu Xiansong , Yang Tao , Fan Kexia , Cheng Jingmin , Ma Yuan 
Published: October 2024

ObjectiveChronic subdural hematoma (CSDH) is a common neurologic disorder with increasing incidence, which can be preceded by head trauma or occur in the absence of trauma. In order to deeply understand the clinical characteristics of this disease, we conducted this retrospective study to explore the clinical differences between traumatic and not otherwise specified (NOS) CSDH.MethodsAccording to the inclusion and exclusion criteria, 168 traumatic CSDH patients and 133 NOS CSDH patients were recruited from January 2015 to October 2023 in our cohort. The collected data and compared parameters including baseline clinical features and radiological outcomes of hematoma within 24 h of hospital admission, as well as the treatment method and clinical outcome of traumatic and NOS CSDH patients.ResultsCompared to NOS CSDH patients, the average age was younger, epilepsy was more frequent, asymptomatic cases were more common, and the taking of anticoagulants and antiplatelet drugs were rarer in traumatic CSDH patients (all P &lt; 0.05). However, no differences were found in the radiological presentations of hematoma at admission, the treatment methods and clinical outcomes of traumatic and NOS CSDH patients (all P &gt; 0.05).ConclusionTraumatic CSDH patients were more likely to be asymptomatic or have seizures, while NOS CSDH were more common in elder people and in individuals with the history of taking anticoagulants and antiplatelet drugs. The treatment methods and clinical outcomes were similar in traumatic and NOS CSDH patients.
Effects of low frequency repetitive transcranial magnetic stimulation on motor recovery in subacute stroke patients with different motor evoked potential status: a randomized controlled trial
Authors: Qian Wenjun , Liao Xiaoyu , Ju Xiaowen , Gao Yaxin , Wu Miao , Xie Chen , Zhang Yaoying , Long Xianming , Qian Surong , Gong Yan 
Published: October 2024

ObjectivesTo explore the effects of low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) on motor function and cortical excitability in stroke patients with different motor evoked potential (MEP) status.MethodsA total of 80 stroke patients were enrolled in this randomized controlled trial and divided into two groups according to MEP status (− or +) of lesioned hemisphere. Then, each group was randomly assigned to receive either active or sham LF-rTMS. In addition to conventional rehabilitation, all participants received 20 sessions of rTMS at 1 Hz frequency through the active or the sham coil over 4 weeks. Fugl-Meyer Assessment (FMA), National Institutes of Health Stroke Scale (NIHSS), Shoulder Abduction Finger Extension (SAFE) and Barthel Index (BI), bilateral resting motor threshold (rMT), amplitude of Motor evoked potential (MEP) and Central Motor Conduction Time (CMCT), and Interhemispheric asymmetry (IHA) were blindly assessed at baseline, 4 weeks and 8 weeks after treatment, respectively.ResultsAt 4 weeks after intervention, FMA and NIHSS changed scores in 1 Hz MEP(+) group were significantly higher than those in the other three groups (p &lt; 0.001). After receiving 1 Hz rTMS, stroke patients with MEP(+) showed significant changes in their bilateral cortical excitability (p &lt; 0.05). At 8 weeks after intervention, 1 Hz MEP(+) group experienced higher changes in NIHSS, FMA, SAFE, and BI scores than other groups (p &lt; 0.001). Furthermore, 1 Hz rTMS intervention could decrease unaffected cortical excitability and enhance affected cortical excitability of stroke patients with MEP(+) (p &lt; 0.05). The correlation analysis revealed that FMA motor change score was associated with decreased unaffected MEP amplitude (r = −0.401, p = 0.010) and decreased affected rMT (r = −0.584, p &lt; 0.001) from baseline, which was only observed in the MEP(+) group.ConclusionThe effects of LF-rTMS on motor recovery and cortical excitability were more effective in stroke patients with MEP than those with no MEP.
Characterization of ligand-receptor pair in acute myeloid leukemia: a scoring model for prognosis, therapeutic response, and T cell dysfunction
Authors: Fu Chunlan , Qiu Di , Zhou Mei , Ni Shaobo , Jin Xin 
Published: October 2024

IntroductionThe significance of ligand-receptor (LR) pair interactions in the progression of acute myeloid leukemia (AML) has been the focus of numerous studies. However, the relationship between LR pairs and the prognosis of AML, as well as their impact on treatment outcomes, is not fully elucidated.MethodsLeveraging data from the TCGA-LAML cohort, we mapped out the LR pair interactions and distinguished specific molecular subtypes, with each displaying distinct biological characteristics. These subtypes exhibited varying mutation landscapes, pathway characteristics, and immune infiltration levels. Further insight into the immune microenvironment among these subtypes revealed disparities in immune cell abundance.ResultsNotably, one subtype showed a higher prevalence of CD8 T cells and plasma cells, suggesting increased adaptive immune activities. Leveraging a multivariate Lasso regression, we formulated an LR pair-based scoring model, termed “LR.score,” to classify patients based on prognostic risk. Our findings underscored the association between elevated LR scores and T-cell dysfunction in AML. This connection highlights the LR score’s potential as both a prognostic marker and a guide for personalized therapeutic interventions. Moreover, our LR.score revealed substantial survival prediction capacities in an independent AML cohort. We highlighted CLEC11A, ICAM4, ITGA4, and AVP as notably AML-specific.DiscussionqRT-PCR analysis on AML versus normal bone marrow samples confirmed the significant downregulation of CLEC11A, ITGA4, ICAM4, and AVP in AML, suggesting their inverse biomarker potential in AML. In summary, this study illuminates the significance of the LR pair network in predicting AML prognosis, offering avenues for more precise treatment strategies tailored to individual patient profiles.
Efficacy and safety of traditional Chinese medicine combined with azithromycin sequential therapy for mycoplasma pneumonia among children: a meta-analysis of randomized controlled trials
Authors: Lyu Jing , Fan Fei , Li Ji , Wang Qiong , Tian Xue , Xu Jiaxing , Zhang Si , Wang Bo 
Published: October 2024

BackgroundTraditional Chinese medicine (TCM) is used to treat mycoplasma pneumonia (MP) in children with favorable treatment outcome in China. In the present study, we evaluated the clinical efficacy of TCM combined with azithromycin (AZM) for the treatment of MP among children, providing high evidence-based reference for clinical treatment.MethodWe retrieved eligible randomized controlled trials (RCTs) from CQVIP, CNKI, WanFang, NSTL, PubMed, Embase, and Embase databases from January 2000 to November 2023. Data extraction and quality assessment of the enrolled studies were independently by two reviewers. Review Manager 5.3 was used for meta-analysis.ResultA total of 51 RCTs involving 5,799 children aged 1–14 enrolled. Meta-analysis demonstrated that TCM combined with AZM improved the cure rate (odds ratio [OR] = 2.34, 95% CI: 2.06 to 2.64) and the effective rate (OR = 5.21, 95% CI: 4.22 to 6.43), shorted the disappearance duration of cough (WMD = −1.62, 95% CI: −1.90 to −1.34), the duration of fever (WMD = −1.62, 95% CI: −1.96 to −1.29), and the disappearance time of lung rales (WMD = −1.15, 95% CI: −1.32 to −0.98), improved CRP levels (WMD = −2.06, 95% CI: −2.57 to −1.55), IL-6 levels (WMD = −1.92,95% CI: −2.51 to −1.34), and TNF-α levels (WMD = −1.59, 95% CI: −2.14 to −1.04), and reduced adverse reactions (OR = 0.37, 95% CI: 0.32 to 0.44).ConclusionTCM combined with AZM in the treatment of MP among children has favorable clinical efficacy and safety.
Response of photosynthesis, population physiological indexes, and yield of cotton in dry areas to the new technology of “dry sowing and wet emergence”
Authors: Ding Yu , Ma Jianqin , Zhang Jianghui , Bai Yungang , Cui Bifeng , Hao Xiuping , Fu Guangtao , Zheng Ming , Ding Bangxin 
Published: October 2024

IntroductionIn arid areas, exploring new "dry sowing wet emergence (DSWE)" water-saving irrigation techniques may become one of the most important ways to reduce agricultural irrigation water use and improve economic efficiency.MethodsThe study was conducted in a two-year field trial in 2021 and 2022, setting up three seedling emergence rates (W1: 6 mm, W2: 10.5 mm, W3: 15 mm) and two drip frequencies (D1: 2 times, D2: 4 times) for a total of six irrigation combinations.Results and discussionThe results indicate that under the "DSWE" irrigation pattern, in contrast to the low frequency treatment, the photosynthetic efficiency of cotton leaves in the high-frequency treatment is significantly higher. The stomatal conductance of cotton leaves has increased by 6.67% within two years, and the net photosynthetic rate has risen by 12.22%. Compared with the CK treatment, there is no remarkable difference in the photosynthetic indicators of the W3D2 treatment, while the net photosynthetic rate has increased by 1.68%. The population physiological indicators of each treatment group exhibit a trend of initially increasing and then decreasing as the growth period prolongs. The differences in the group population physiological indicators of cotton at the seedling stage among different seedling water treatments are relatively minor. The high frequency treatment maintains a relatively high level throughout the growth period. Compared with the low-frequency treatment, the yields of lint cotton and seed cotton in the high-frequency treatment have increased by 14.77% and 20.89%, respectively. Compared with the winter irrigation technology, there are no significant differences in the cotton yield and quality indicators of the "DSWE" high-frequency and high-seedling water treatment (W3D2). Over two years, the average unit yields of lint and seed cotton have decreased by 1.95% and 3.01%, respectively. Nevertheless, irrigation water during the growth period declined by 38.46%. The appropriate "DSWE" irrigation technology (W3D2) can significantly enhance the physiological indicators of cotton, ensuring crop yield and quality while significantly reducing the amount of agricultural irrigation water.
Work till old age: an analysis of self-employment’s impact on depression among the older adults in China
Authors: He Li , Zhao Jinxu , Li Man , Song Zhiyong , Ma Yanling , Yang Zhixiong 
Published: October 2024

BackgroundDepression is a significant risk factor affecting the mental health of older adults. In the context of accelerated population aging and the policy of “delayed retirement,” self-employment has become an important alternative for older adults. Thus, studying the difference in depression levels between self-employed older adults and retirees, along with the mechanisms behind these differences, has emerged as a crucial theoretical and practical issue.MethodsThis research, based on panel data from the China Health and Retirement Longitudinal Study for the years 2011, 2013, 2015, and 2018, employed fixed-effect, instrumental variable, mediation models to analyze the difference in depression levels between self-employed older adults and retirees, as well as the mediating mechanisms involved.ResultsThe findings indicate that self-employed older adults have lower levels of depression than retirees. The results of the mediating mechanism analysis suggest that self-employment can indirectly lower the depression levels of older adults by frequent social participation and greater life satisfaction. However, heterogeneity analysis revealed significant urban–rural differences and different types of self-employment in the impact of self-employment on the depression levels of older adults.ConclusionsThe results of this study are of great significance for enhancing the mental health of older adults and provide empirical support for China and other developing countries in formulating more effective aging policies and building a more beneficial aging society.
Institutional influence on length of stay in German forensic hospitals: a multilevel analysis of patients with schizophrenia spectrum disorders
Authors: Stürner Lukas , Ross Thomas , Querengässer Jan , Traub Hans-Joachim 
Published: October 2024

IntroductionScientific studies have focused on patient-related characteristics as predictors of length of stay in forensic psychiatry. However, little attention has been paid to the specificities of forensic psychiatric settings. This study aims to test whether differences in forensic admissions transcend individual factors by comparing length of stay between different psychiatric units, controlling for hospital characteristics and patient characteristics.MethodsThe dataset was derived from a forensic documentation system containing a wide range of information on forensic psychiatric patients. N = 594 patients with schizophrenia spectrum disorders discharged from 6 forensic hospitals in southern Germany were included in a linear mixed regression model. Linear mixed models were calculated, allowing for the simultaneous estimation of variance between patients and hospitals.ResultsThe final regression model explained 49% of the total variance. The only statistically significant patient-related predictors were age at admission, education and severity of the index offence. Hospital differences explained 41% (ICC) of the variance in length of stay without finding a significant hospital effect in the data.DiscussionPrevious research has primarily analyzed predictors of length of stay in terms of individual patient characteristics. This work suggests that variables other than patient-related factors need to be considered when assessing the length of stay in forensic units. Further multi-center studies are needed to gain a better understanding of how forensic psychiatric hospitals and other institutional influences affect length of stay.
Exploring the most discriminative brain structural abnormalities in ASD with multi-stage progressive feature refinement approach
Authors: Sun Bingxi , Xu Yingying , Kat Siuching , Sun Anlan , Yin Tingni , Zhao Liyang , Su Xing , Chen Jialu , Wang Hui , Gong Xiaoyun , Liu Qinyi , Han Gangqiang , Peng Shuchen , Li Xue , Liu Jing 
Published: October 2024

ObjectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by increasing prevalence, diverse impairments, and unclear origins and mechanisms. To gain a better grasp of the origins of ASD, it is essential to identify the most distinctive structural brain abnormalities in individuals with ASD.MethodsA Multi-Stage Progressive Feature Refinement Approach was employed to identify the most pivotal structural magnetic resonance imaging (MRI) features that distinguish individuals with ASD from typically developing (TD) individuals. The study included 175 individuals with ASD and 69 TD individuals, all aged between 7 and 18 years, matched in terms of age and gender. Both cortical and subcortical features were integrated, with a particular focus on hippocampal subfields.ResultsOut of 317 features, 9 had the most significant impact on distinguishing ASD from TD individuals. These structural features, which include a specific hippocampal subfield, are closely related to the brain areas associated with the reward system.ConclusionStructural irregularities in the reward system may play a crucial role in the pathophysiology of ASD, and specific hippocampal subfields may also contribute uniquely, warranting further investigation.
A bibliometric and visual analysis of Parkinson’s disease sleep disorders: articles from 2008 to 2023
Authors: Zhu Lili , Zhu Peiyuan , Wang Juwei , Yan Kaiwen , Zhao Sheng , Jiang Yue , Zhang Huihe 
Published: October 2024

ObjectiveSleep disorder is a common non-motor symptom (NMS) of Parkinson’s disease. However, the global research focus on Parkinson’s sleep-related disorders (PDSDs) and future trends remains unclear. Currently, there is no bibliometric analysis of PDSDs. We aim to fill this gap, determine the status of current research, and predict future research hotspots.MethodsWe selected 1490 publications from the Web of Science Core Collection (WoSCC) database from 2008 to 2023. Based on CiteSpace and VOSviewer, the analysis was performed from the perspectives of the trend in the number of annual publications, countries, institutions, authors, journals, and co-citations.ResultsA total of 1490 publications from 590 authors from 409 institutions in 77 countries are included. The United States, China, and the United Kingdom are the leading countries. University College London (UCL) is the most prolific institution. Harvard University is the key for cooperation among institutions. Chaudhuri Kallol Ray is a leader in this field. “Movement Disorders” is the most influential journal. “A systematic review of the literature on disorders of sleep and wakefulness in Parkinson’s disease from 2005 to 2015” is the publication with the highest co-citation intensity.ConclusionThe total volume of publications on PDSDs is on the rise, entering a relatively high-yield stage in 2020. The COVID-19 pandemic and the emergence of new keywords may be the reasons behind this phenomenon. “quality of life” and “circadian rhythm” are the mainstream topics of PDSD research. Daytime sleepiness is the PDSD subtype that has received the most attention. Sleep quality, biomarkers, and neurodegeneration are likely to become future research hotspots.
Prediction of pharmacological treatment efficacy using electroencephalography-based salience network in patients with major depressive disorder
Authors: Choi Kang-Min , Lee Taegyeong , Im Chang-Hwan , Lee Seung-Hwan 
Published: October 2024

IntroductionRecent resting-state electroencephalogram (EEG) studies have consistently reported an association between aberrant functional brain networks (FBNs) and treatment-resistant traits in patients with major depressive disorder (MDD). However, little is known about the changes in FBNs in response to external stimuli in these patients. This study investigates whether changes in the salience network (SN) could predict responsiveness to pharmacological treatment in resting-state and external stimuli conditions.MethodsThirty-one drug-naïve patients with MDD (aged 46.61 ± 10.05, female 28) and twenty-one healthy controls (aged 43.86 ± 14.14, female 19) participated in the study. After 8 weeks of pharmacological treatment, the patients were divided into non-remitted MDD (nrMDD, n = 14) and remitted-MDD (rMDD, n = 17) groups. EEG data under three conditions (resting-state, standard, and deviant) were analyzed. The SN was constructed with three cortical regions as nodes and weighted phase-lag index as edges, across alpha, low-beta, high-beta, and gamma bands. A repeated measures analysis of the variance model was used to examine the group-by-condition interaction. Machine learning-based classification analyses were also conducted between the nrMDD and rMDD groups.ResultsA notable group-by-condition interaction was observed in the high-beta band between nrMDD and rMDD. Specifically, patients with nrMDD exhibited hypoconnectivity between the dorsal anterior cingulate cortex and right insula (p = 0.030). The classification analysis yielded a maximum classification accuracy of 80.65%.ConclusionOur study suggests that abnormal condition-dependent changes in the SN could serve as potential predictors of pharmacological treatment efficacy in patients with MDD.
When you avoid your feelings, you may feel even worse: how depersonalization puts you at risk of depression
Authors: Fortuna Dominika , Golonka Krystyna 
Published: October 2024

BackgroundThe clinical form of depersonalization affects approximately 1%–2% of the adult population. This study aimed to describe the symptoms of depersonalization in a non-clinical sample and to operationalize depersonalization as a regulatory mechanism. This article introduces the Depersonalization Mechanism Scale, 41-item measure developed to assess one’s tendency for depersonalization in response to overstimulation. The aim of the study is to explore how depersonalization mechanism is associated with cognitive and behavioral emotion regulation strategies, depression, and anxiety.MethodThe study included a sample of 300 Polish adults (149 men) from the general population, ranging in age from 18 to 60. Participants were administered the following questionnaires: Depersonalization Mechanism Scale (DMS), Behavioral Emotion Regulation Questionnaire (BERQ), Cognitive Emotion Regulation Questionnaire (CERQ), Occupational Depression Inventory (ODI), Patient Health Questionnaire (PHQ), and Trait Anxiety Scale (SL-C).ResultsAn exploratory factor analysis revealed a two-factor structure of Depersonalization Mechanism Scale, with very high reliability coefficients for both subscales and full scale. A regression analysis revealed that depersonalization mechanism is a significant predictor of depressive symptoms. Depersonalization mechanism is strongly correlated with maladaptive regulation strategies such as withdrawal, ignoring, rumination, catastrophizing, self-blame, and blaming others. Weaker but significant connections were identified with certain adaptive strategies: acceptance, positive refocusing, putting into perspective, and seeking social support. Women were more prone to depersonalization than men.ConclusionsFurther research on depersonalization in non-clinical samples may improve understanding of this mechanism in the general population. This knowledge, combined with greater education about non-clinical forms of depersonalization, may support preventive programs against depression and professional assistance for people facing acute or chronic stressful life events.
Self-medication practice among the general public in Jordan: a cross-sectional study
Authors: Abuhamdah Sawsan M. A. , Naser Abdallah Y. 
Published: October 2024

ObjectivesThe phenomenon of self-medication is a noteworthy public health concern that is increasingly prevalent on a global level, particularly in developing nations. This study aims to explore the prevalence of self-medication of over-the-counter (OTC) medications among the general public in Jordan.Materials and methodsThis cross-sectional online survey study was conducted in Jordan between November and December 2022. An online questionnaire link was distributed to the study participants through social media platforms (Facebook, WhatsApp, and Instagram). The questionnaire tool for this study was adapted from a previously developed questionnaire by Tesfamariam et al. The questionnaire tool comprised four sections that examined participants’ demographic characteristics, knowledge of OTC self-medication, attitudes toward OTC self-medication, and associated practices. Binary logistic regression analysis was used to identify predictors of OTC self-medication practice.ResultsA total of 1,218 individuals participated in this study. More than half of the study participants (56.9%) confirmed that they were currently using or had in the past year used medication(s) not prescribed by a healthcare specialist. Participants’ agreement level on statements that reflected a positive attitude toward self-medication practice ranged between 13.1 and 33.0%. The statement most commonly agreed with was that ‘OTC medications are safe but I would seek a physician’s advice before using them’ (57.7%). Individuals aged 36–40 years and 51 years and over, those who were married or divorced, those who were employed, and those who had chronic diseases were more likely to practice self-medication compared to others (p &lt; 0.05).ConclusionThe current study findings suggest a significant lack of awareness among the general population in Jordan regarding the expected efficacy of OTC medications. A restricted level of agreement was observed among the participants concerning the behavior of self-medication.