bluuebunny/crossref_metadata_2025_split huggingface dataset:
A bibliometric analysis of abdominal aortic aneurysm (2014–2024)
Authors: Liu Shao-Jia , Yang Xin-Qing , Lu Hong-Qiao , Zhang Kun-Chi , Tang Yong-Jiang , Xu Yu 
Published: December 2024

BackgroundAbdominal aortic aneurysm (AAA) is a localized bulge of the abdominal aorta, which mainly manifests as a pulsatile mass in the abdomen. Once an abdominal aortic aneurysm ruptures, the patient's life is seriously endangered. Surgery is the preferred treatment for abdominal aortic aneurysm. At present, there has been no comprehensive review of the current status of abdominal aortic aneurysm research. Therefore, this study aimed to identify global trends in abdominal aortic aneurysm research over the last 10 years through bibliometric analysis and to inform clinical practice, research funding allocation, and decision-making.MethodsWe downloaded research articles and reviews on abdominal aortic aneurysm from 1 January 2014, to 1 March 2024, from the Web of Science core collection. CiteSpace (version 6.2.1), RStudio and VOSviewer (version 1.6.18) were used for visual analysis of regional distribution, institutions, authors, keywords and other information.ResultsThe number of documents on abdominal aortic aneurysm research increased continuously and has stabilized in recent years. A total of 9,905 publications from 67 countries were published from 1 January 2014, to 1 March 2024. A total of 2,142 (29.52%) studies were from the United States, 1,293 (13.05%) were from China, and 919 (9.28%) were from the United Kingdom. A total of 205 studies were conducted at Stanford University, 172 were conducted at Harvard Medical School, and 165 were conducted at the Mayo Clinic. The top three coauthorship authors were Schermerhorn, Marc L (114); Golledge, Jonathan (102); and De Vries, Jean Paul P.M. (74). The most cocited reference was Chaikof EL, 2018, J Vasc Surg, v67, p. 2; the most cocited journal was the Journal of Vascular Surgery; and the most cocited author was Lederle, FA. “Abdominal aortic aneurysm” was the most frequently used author keyword (2,492). Twenty-five references with strong citation bursts were identified by “CiteSpace”. “Artificial intelligence”, “clinical outcomes” and “bridging stent” were the primary keywords of emerging research hotspots.ConclusionThis is the first bibliometric study to comprehensively summarize the research trends in abdominal aortic aneurysm research. This information can help us to identify the current research hotspots and directions. This study will provide extensive help for future research.
Ovarian sensitivity index affects clinical pregnancy and live birth rates in gonadotropin-releasing hormone agonist and antagonist in vitro fertilization cycles
Authors: Hsu Chao Chin , Hsu Isabel , Dorjee Sonam , Chen Yi Chun , Chen Tzu Ning , Chuang Yu Lin 
Published: December 2024

ObjectivesThis study aimed to investigate the correlation of ovarian sensitivity index (OSI) and clinical parameters in IVF treatments.MethodsIVF data files between January 2011 and December 2020 in a single unit were included. The primary outcome measure was the correlation between the OSI and clinical pregnancy and live birth rates. A generalized linear model was employed to assess group differences while controlling for age. Correlations between the OSI and clinical parameters were analyzed using Pearson’s correlation test.ResultsIn total, 1,627 patient data were reviewed, comprising 1,160 patients who received GnRH antagonists and 467 who received GnRH agonists. There was no difference in the incidence of premature ovulation and LH surge in women receiving either GnRH antagonists or agonists. A higher number of mature oocytes and good embryos were obtained in the GnRH agonist cycles. No differences were observed in pregnancy and live birth rates between both groups. Regarding the correlation of the OSI with clinical parameters, serum anti-Müllerian hormone, cycle day 2 follicle-stimulating hormone, LH, and estradiol concentrations, numbers of larger follicles, fertilization rate, and the incidence of premature LH surge were positively correlated with the OSI. Whereas the body mass index, mature oocytes obtained, embryo transfer number, and dose of GnRH antagonists were negatively correlated with the OSI. In the GnRH antagonists group, an OSI of 225.75 significantly distinguished pregnancy from non-pregnancy (p &lt; 0.001), with an AUC of 0.615, and an OSI of 208.62 significantly distinguished live births from non-live births (p &lt; 0.001), with an AUC of 0.637. As for the GnRH agonist group, an OSI of 228 significantly distinguished live births from non-live births, (p =0.020) with an AUC of 0.569.ConclusionWe demonstrated the capability of employing OSI to distinguish the clinical pregnancy and live birth outcomes in IVF cycles.
Association between changes in thyroid hormones and incident type 2 diabetes using joint models of longitudinal and time-to-event data: more than a decade follow up in the Tehran thyroid study
Authors: Amirabadizadeh Alireza , Mehran Ladan , Amouzegar Atieh , Asgari Samaneh , Khalili Davood , Azizi Fereidoun 
Published: December 2024

BackgroundType 2 diabetes mellitus (T2DM) poses a significant public health challenge, contributing to considerable morbidity and mortality worldwide, which necessitates urgent preventive measures. Thyroid disorders, prevalent in many individuals, are intricately linked to metabolic health, yet studies on their relationship with T2DM yield inconsistent results—some suggesting an increased risk with abnormal thyroid hormone levels, while others indicate potential protective effects. This study investigated the association between changes in serum thyroid-stimulating hormone (TSH) and free thyroxine (FT4) levels and the incidence of type 2 diabetes mellitus.MethodsData from 1938 individuals aged ≥20 in the Tehran Thyroid Study cohort were used, spanning four examination cycles from 1999 to 2012, with three-year intervals. TSH and FT4 levels were log-transformed and modeled as time-varying exposures to study their association with incident T2DM.ResultsDuring a median follow-up of 9.43 years, 135 new T2DM cases were identified. The multivariable-adjusted joint model (JM) revealed that each unit increase in log-transformed TSH level was associated with a 25% decrease in T2DM incidence [HRs (95% CI): 0.75 (0.64-0.90)]. Conversely, each unit increase in FT4 level showed a marginally significant higher risk [1.06 (0.99-1.13); p-value=0.06].ConclusionThe findings of this study suggest that dynamic changes in serum thyroid hormones are associated with the development of T2DM. Rising TSH and decreasing FT4 over time are associated with a lower risk of diabetes. These findings suggest a complex interplay between thyroid function and the risk of T2DM, emphasizing the importance of monitoring thyroid hormone levels as a part of T2DM prevention strategies.
Three distinct gamma oscillatory networks within cortical columns in macaque monkeys’ area V1
Authors: Drebitz Eric , Rausch Lukas-Paul , Domingo Gil Esperanza , Kreiter Andreas K. 
Published: December 2024

IntroductionA fundamental property of the neocortex is its columnar organization in many species. Generally, neurons of the same column share stimulus preferences and have strong anatomical connections across layers. These features suggest that neurons within a column operate as one unified network. Other features, like the different patterns of input and output connections of neurons located in separate layers and systematic differences in feature tuning, hint at a more segregated and possibly flexible functional organization of neurons within a column.MethodsTo distinguish between these views of columnar processing, we conducted laminar recordings in macaques’ area V1 while they performed a demanding attention task. We identified three separate regions with strong gamma oscillatory activity, located in the supragranular, granular, and infragranular laminar domains, based on the current source density (CSD).Results and DiscussionTheir characteristics differed significantly in their dominant gamma frequency and attention-dependent modulation of their gramma power and gamma frequency. In line, spiking activity in the supragranular, infragranular, and upper part of the granular domain exhibited strong phase coherence with the CSD signals of their domain but showed much weaker coherence with the CSD signals of other domains.ConclusionThese results indicate that columnar processing involves a certain degree of independence between neurons in the three laminar domains, consistent with the assumption of multiple, separate intracolumnar ensembles. Such a functional organization offers various possibilities for dynamic network configuration, indicating that neurons in a column are not restricted to operate as one unified network. Thus, the findings open interesting new possibilities for future concepts and investigations on flexible, dynamic cortical ensemble formation and selective information processing.
CT-3D MERGE fusion imaging improves image quality compared with CT and 3D MERGE in patients with lumbar disc herniation
Authors: Li Hongyi , Liu Hailong , Xiao Mengqiang , Du Xiaodan , Zhang Meng , Ye Jingzhi , Lei Ming , Chen Jun , Chen Jie 
Published: December 2024

BackgroundCT-routine MRI fusion imaging has recently become available to evaluate spinal anatomy before surgery. Due to the 3-5 mm slice thickness and non-isotropic of routine MRI sequence, the CT-routine MRI fusion imaging is not good. The MRI multiple recalled gradient echo (MERGE) sequence is potentially useful in diagnosis of lumbar degeneration disease due to the better nerve roots visualization, 1 mm slice thickness and its isotropy.PurposeThe present study aimed to evaluate the image quality of CT-3D MERGE fusion images compared with CT and 3D MERGE images in patients with lumbar disc herniation.MethodsFifty-nine patients with lumbar disc herniation who underwent both lumbar CT and MRI including 3D-MERGE and routine lumbar MRI sequences were evaluated. All CT, 3D MERGE and CT-3D MERGE fusion images were separately assessed by two radiologists using five-point Likert scoring method based on five aspects: display of bony structure, intervertebral discs, nerve roots, overall anatomical details and image artifacts. Furthermore, two observers documented the sacral slope (SS), L4/5 intervertebral space heights (ISH), width and height of L4/5 intervertebral foramen (FW and FH) on CT and CT-MERGE fusion images.ResultsThere was insufficient evidence to show a difference in bony structure score between CT and CT-3D MERGE fusion images (p = 0.22), but it was significantly higher than that of MERGE (p &lt; 0.001). The scores of intervertebral discs and nerve roots between MERGE and fusion images were not statistically different (p = 0.19 and 0.88), which were higher than CT (all p &lt; 0.001). The overall anatomical detail score of fusion imaging was higher than CT and MERGE (p &lt; 0.001). No significant difference of image artifacts score was found among CT, MERGE and fusion images (p = 0.47). There was no significant difference in SS, ISH, FW, FH values between CT and fusion images (all p &gt; 0.05).ConclusionCT-3D MERGE fusion images exhibit superior image quality to both CT and 3D MERGE for the simultaneous observation of bony structures, intervertebral discs, and nerve roots.
Risk of malignancy and the use of disease-modifying therapy in multiple sclerosis: exploring the role of DMT in a multi-center study
Authors: Bayounis Mohammed , Bin Mahfooz Mohammed , Assiri Mohammed , Alghamdi Yousef , Alturki Fahad , Almutairi Mahdi , Alshelawy Abdullah , Alosaimi Mohammed , Almutawa Faisal , Alammar Abdulrahman , Alyahya Yahya , Khojah Osama , Makkawi Seraj , Al Malik Yaser 
Published: December 2024

BackgroundThe potential link between disease-modifying therapies (DMTs) and malignancy in multiple sclerosis (MS) patients has generated significant concern, particularly given the immunosuppressive nature of these treatments. Conflicting evidence in the literature has left this issue unresolved, underscoring the need for definitive research to inform clinical practice. This study addresses this gap by examining cancer occurrence among MS patients on DMTs treated at two tertiary-care centers in Saudi Arabia.ObjectivesTo report and analyze cases of malignancy in MS patients treated with DMTs and identify associated risk factors, including demographic characteristics, Expanded Disability Status Scale (EDSS) scores, treatment duration, and cumulative DMT exposure. The study also seeks to contribute to the development of evidence-based cancer screening protocols for MS patients at elevated risk.MethodsA retrospective review was performed on medical records of MS patients treated with DMTs at two tertiary-care centers in Saudi Arabia from June 2015 to December 2023. The study included 860 patients, with data collected on demographics, MS subtype, DMT usage, and subsequent cancer diagnoses. A comprehensive literature review, covering publications from February 1976 to May 2024, supplemented the review to contextualize findings within the broader research landscape.ResultsAmong the 860 MS patients on DMTs, 10 (1.16%) developed malignancies, predominantly female (80%), with an average age of 50.9 years. The majority had relapsing–remitting MS (RRMS) (90%), with interferon beta (70%) and ocrelizumab (60%) being the most frequently used DMTs. The median duration of DMT exposure prior to cancer diagnosis was 52 months. The observed malignancies included gynecological cancers, breast cancer, thyroid cancer, and nasopharyngeal carcinoma, with 60% diagnosed at advanced stages (III-IV).ConclusionThis case series highlights instances of malignancy among MS patients undergoing DMTs, suggesting a potential link that warrants further investigation. The findings underscore the need for vigilant cancer screening and patient education as integral components of MS management. The literature review reinforces the necessity for ongoing research to better understand the risks associated with DMTs, aiding in the development of more informed clinical guidelines. Further large-scale, longitudinal studies are crucial to elucidate the causality and guide safer treatment strategies.
Comprehensive predictive model for cerebral microbleeds: integrating clinical and biochemical markers
Authors: Wang Lijing , Li Yao , Hu Yadong , Ling Li , Jia Nan , Chen Yajing , Meng Yanan , Jiang Ye , Li Ning 
Published: December 2024

BackgroundCerebral Microbleeds (CMBs) serve as critical indicators of cerebral small vessel disease and are strongly associated with severe neurological disorders, including cognitive impairments, stroke, and dementia. Despite the importance of diagnosing and preventing CMBs, there is a significant lack of effective predictive tools in clinical settings, hindering comprehensive assessment and timely intervention.ObjectiveThis study aims to develop a robust predictive model for CMBs by integrating a broad range of clinical and laboratory parameters, enhancing early diagnosis and risk stratification.MethodsWe analyzed extensive data from 587 neurology inpatients using advanced statistical techniques, including Least Absolute Shrinkage and Selection Operator (LASSO) and logistic regression. Key predictive factors such as Albumin/Globulin ratio, gender, hypertension, homocysteine levels, Neutrophil to HDL Ratio (NHR), and history of stroke were evaluated. Model validation was performed through Receiver Operating Characteristic (ROC) curves and Decision Curve Analysis (DCA).ResultsThe model demonstrated strong predictive performance with significant clinical applicability. Key predictors identified include the Albumin/Globulin ratio, homocysteine levels, and NHR, among others. Validation metrics such as the area under the ROC curve (AUC) and decision curve analysis confirmed the model’s utility in predicting CMBs, highlighting its potential for clinical implementation.ConclusionThe comprehensive predictive model developed in this study offers a significant advancement in the personalized management of patients at risk for CMBs. By addressing the gap in effective predictive tools, this model facilitates early diagnosis and targeted intervention, potentially reducing the incidence of stroke and cognitive impairments associated with cerebral microbleeds. Our findings advocate for a more nuanced approach to cerebrovascular disease management, emphasizing the importance of multi-factorial risk profiling.
Handgrip strength and body mass index exhibit good predictive value for sarcopenia in patients on peritoneal dialysis
Authors: Li Hongyan , Zheng Yuanhua , Zhang Yuanyuan , Zhang Xiaotian , Luo Wei , Zhu Weiyi , Zhang Yaqing 
Published: December 2024

AimThe diagnosis of sarcopenia in patients on peritoneal dialysis (PD) in clinics is limited owing to its relatively complicated process and the need for expensive assessment equipment. This study aimed to develop and validate sex-specific nomogram models based on body mass index (BMI), handgrip strength, and other routine follow-up examination indicators to predict sarcopenia in patients on PD.MethodsFrom March 2023 to February 2024, 699 eligible patients were recruited from the PD centers of two tertiary hospitals in southeastern China. Routine follow-up examination indicators such as age, BMI, biochemical indicators, dialysis adequacy, handgrip strength, and five-repetition sit-to-stand test, were used as potential predictive variables. Multivariate logistic regression analyses were used to separately determine the predictive factors for men and women. Nomogram models were constructed based on the results of the multivariate analyses, which were internally validated using a bootstrap re-sampling method (n = 2000). Predictive performance was validated using a receiver operating characteristic (ROC) curve.ResultsThe prevalence of sarcopenia in Chinese patients on PD was 13.92%. The nomogram models based on multivariate analyses revealed both handgrip strength and BMI as independent predictors of sarcopenia in men and women on PD. The bootstrap-corrected area under the ROC curves of the models was 0.924 (95% CI: 0.888–0.959) and 0.936 (95% CI, 0.906–0.966) for men and women, respectively. The calibration curves of both models demonstrated high consistency between the observed and anticipated values.ConclusionThe two nomogram models based on BMI and handgrip strength demonstrated good predictive ability for sarcopenia in male and female patients on PD. Subsequently, these may be used as convenient and inexpensive methods for the early detection and timely management of sarcopenia in patients on PD.
β-caryophyllene sensitizes hepatocellular carcinoma cells to chemotherapeutics and inhibits cell malignancy through targeting MAPK signaling pathway
Authors: Basheer Irum , Wang Hai , Li Guangyue , Jehan Shah , Raza Ali , Du Chentao , Ullah Najeeb , Li Dangdang , Sui Guangchao 
Published: December 2024

Backgroundβ-caryophyllene (BCP) is a naturally occurring bicyclic sesquiterpene extracted from various plants, and widely used as a medicinal agent for various diseases. During hepatocellular carcinoma (HCC) development, cancer cells generally exhibit increased cell proliferation due to mutations or aberrant expression of key regulatory genes. The current study determines the cytotoxic effects of BCP alone or in combination with doxorubicin (DOX) and cisplatin (DDP) on HCC cells, and elucidates the underlying mechanism of BCP to exert its anticancer activities.Materials and methodsHepG2, SMMC-7721 HCC cells, and HL-7702 normal liver cells were treated with BCP, DOX, and DDP individually or combinatorially. Cell proliferation assay, flow cytometric assay, and Western blot were employed to evaluate the cytotoxic effects of these treatments. Transwell assays were used to examine BCP’s effects on HCC cell migration and invasion. RNA-seq analysis was used to determine BCP’s primary target genes in HepG2 cells. Integrative analysis of differentially expressed genes (DEGs) of RNA-seq data with an HCC TCGA dataset identified BCP-targeted genes that were verified by RT-qPCR analysis. Ectopic gene expression, cell viability, and colony formation assay were performed to validate the primary targets of BCP.ResultsBCP selectively inhibited HCC cell proliferation while exhibited relatively low toxicity in normal liver cells; however, DOX and DDP showed higher toxicity in normal cells than that in HCC cells. In combinatorial treatments, BCP synergistically enhanced cytotoxicity of DOX and DDP in HCC cells but this effect was markedly reduced in HL-7702 cells. BCP treatment reduced migration and invasion of HCC cells. Furthermore, RNA-seq analyses of BCP-treated HepG2 cells identified 433 protein-coding DEGs. Integrative analyses revealed five BCP-targeted DEGs regulating the MAPK signaling pathway. Among these five genes, three displayed a significantly positive correlation of their expression with the overall survival of HCC patients. As a primary target, PGF was significantly downregulated by BCP treatment, and its exogenous expression desensitized HCC cells to BCP-mediated inhibition.DiscussionBCP inhibits malignant properties of HCC and synergistically sensitizes the anticancer activity of DOX and DDP. In HCC cells, BCP primarily targets the PGF gene and MAPK signaling pathway.
The impact of health promotion training on university students’ health perceptions, healthy lifestyle behaviors, and risky behaviors
Authors: Çol Bahar Kefel¡ , Başaran Ayşe Gümüşler , Köse Burcu Genç 
Published: December 2024

IntroductionUniversity period is a critical developmental stage in which health-related behaviors that will be effective throughout life are acquired. This study aims to to evaluate the effect of health promotion education given touniversity students on health perception, health behaviors and risky behaviors, to investigate the impact of the demographic characteristics of the participants on these three variables, and to investigate the potential relationship between the three variables.MethodsIt is a quasi-experimental study using a pre-post test design This study was conducted with 179 students. The Health Perception Scale, the Healthy Lifestyle Behaviors Scale, and the Risky Behaviors Scale were used to collect the data. A 7-week training program was implemented, and the post-training evaluation was made after 3 months. Percentage, mean, standard deviation, Mann–Whitney U, Kruskal-Wallis, Wilcoxon analysis, and Spearmen Correlation analysis were used to analyze the data.ResultsAfter health promotion training, it was determined that health perception and healthy lifestyle behaviors increased and risky behaviors decreased. A significant negative relationship was found between health perception after training and antisocial behavior, suicidal tendencies and dropping out of school. A significant negative relationship was found between healthy lifestyle habits and antisocial behavior, suicidal tendencies and school dropout. A positive significant relationship was determined between health perception and healthy lifestyle behaviors. The results of this study provide evidence of the effectiveness of training interventions in improving healthy lifestyle behaviors and health perception and reducing risky behaviors.DiscussionThe results support the planning of training programs to promote health on campuses. It also shows the effectiveness of training programs in preventing antisocial behavior, suicidal tendencies and school dropout.