bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the Risa-MIS-ICH study
Authors: Zheng Yan , Lin Yuan-Xiang , He Qiu , Zhuo Ling-Yun , Huang Wei , Gao Zhu-Yu , Chen Ren-Long , Zhao Ming-Pei , Xie Ze-Feng , Ma Ke , Fang Wen-Hua , Wang Deng-Liang , Chen Jian-Cai , Kang De-Zhi , Lin Fu-Xin 
Published: August 2022

BackgroundStroke-associated pneumonia (SAP) contributes to high mortality rates in spontaneous intracerebral hemorrhage (sICH) populations. Accurate prediction and early intervention of SAP are associated with prognosis. None of the previously developed predictive scoring systems are widely accepted. We aimed to derive and validate novel supervised machine learning (ML) models to predict SAP events in supratentorial sICH populations.MethodsThe data of eligible supratentorial sICH individuals were extracted from the Risa-MIS-ICH database and split into training, internal validation, and external validation datasets. The primary outcome was SAP during hospitalization. Univariate and multivariate analyses were used for variable filtering, and logistic regression (LR), Gaussian naïve Bayes (GNB), random forest (RF), K-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGB), and ensemble soft voting model (ESVM) were adopted for ML model derivations. The accuracy, sensitivity, specificity, and area under the curve (AUC) were adopted to evaluate the predictive value of each model with internal/cross-/external validations.ResultsA total of 468 individuals with sICH were included in this work. Six independent variables [nasogastric feeding, airway support, unconscious onset, surgery for external ventricular drainage (EVD), larger sICH volume, and intensive care unit (ICU) stay] for SAP were identified and selected for ML prediction model derivations and validations. The internal and cross-validations revealed the superior and robust performance of the GNB model with the highest AUC value (0.861, 95% CI: 0.793–0.930), while the LR model had the highest AUC value (0.867, 95% CI: 0.812–0.923) in external validation. The ESVM method combining the other six methods had moderate but robust abilities in both cross-validation and external validation and achieved an AUC of 0.843 (95% CI: 0.784–0.902) in external validation.ConclusionThe ML models could effectively predict SAP in sICH populations, and our novel ensemble model demonstrated reliable robust performance outcomes despite the populational and algorithmic differences. This attempt indicated that ML application may benefit in the early identification of SAP.
Effects of aging on ocular vestibular-evoked myogenic potential using ER-3A insert earphone and B81 bone vibrator
Authors: Xu Zhuo , Wang Zhilin , Zhong Bo , Wang Minjiao , Fan Xiaoqin , Ren Cuncun , Qi Meihao , Lin Ying , Zha Dingjun 
Published: August 2022

PurposeAging is a process associated with degeneration and dysfunction of peripheral vestibular system or apparatus. This study aimed to investigate the influence of aging on ocular vestibular-evoked myogenic potential (oVEMP) response rates and recording parameters using the B81 bone vibrator and compare them with air conduction stimuli (ACS) oVEMP response characteristics.MethodsIn 60 healthy participants aged 10–71 years (mean age 39.9; 29 male participants), the oVEMP response was elicited using a B81 bone vibrator and an ER-3A insert earphone. The effects of age and stimulus on oVEMP response rates and recording parameters were evaluated.ResultsResponse rates and amplitudes declined with aging using either ACS or bone-conducted vibration (BCV) stimulation, particularly in individuals over 60 years of age, whereas thresholds increased and N1 latencies were prolonged. BCV showed fewer risks of absent oVEMP response than ACS (p = 0.002). BCV acquired higher amplitudes (p &lt; 0.001), lower thresholds, and shorter N1 and P1 latencies (all p &lt; 0.001) than ACS.ConclusionsThe absence of an oVEMP response may be attributed to aging rather than a concurrent vestibular disorder. B81-BCV likely produces higher mechanical drives to the vestibular hair cells at safer and non-traumatic levels compared with ACS and therefore may be more likely to evoke a response in the elderly cohort, whose vestibular function and mechanical sensitivity have declined. Thus, B81-BCV stimulation is more effective and safer to elicit oVEMPs, and it should be recommended when ACS fails in the clinic, particularly in the elderly population.
Comparative analysis of clinical and imaging data of first-attack neuromyelitis optica spectrum disorders with and without connective tissue disease
Authors: Yao Yaobing , Yang Xuan , Zhou Yongyan , Xie Haojie , Duan Ranran , Jing Lijun , Li Yanfei , Guan Wenjuan , Teng Junfang , Jia Yanjie 
Published: August 2022

BackgroundThe coexistence of neuromyelitis optica spectrum disorder (NMOSD) and connective tissue disease (CTD) is well recognized. The purpose of this study was to investigate and compare the characteristics of first attack NMOSD with and without CTD.MethodsA total of 113 Patients with NMOSD were included and were divided into two groups based on the presence of co-occurring CTD. Their demographic, clinical, laboratory, and image characteristics were obtained through inpatient medical records and follow-ups. Kaplan–Meier survival analysis was used to analyze the effect of CTD in NMOSD patients at the time of first recurrence. The risk factors that could predict complications of NMOSD with CTD was analyzed by binary logistic regression. The ability of homocysteine (Hcy) to predict the coexistence of NMOSD and CTD was analyzed and evaluated by the receiver operating characteristic curve.ResultsThe demographic data, clinical features, cerebrospinal fluid analysis, and MRI findings, except relapse events (including relapse rate, number of recurrences, and time of first recurrence), were similar between the two groups. The serum lymphocyte-to-monocyte ratio and albumin levels were lower (P &lt; 0.05), while serum erythrocyte sedimentation rate and Hcy levels were higher in patients with NMOSD with CTD than in those without CTD (P &lt; 0.001). Kaplan–Meier survival analysis showed that the time of first recurrence in NMOSD patients complicated with CTD was earlier than that of without CTD (log rank test P = 0.035). Logistic regression revealed that serum Hcy levels (OR 1.296, 95% CI, 1.050–1.601, P = 0.016) were independently associated with the occurrence of NMOSD with CTD. The receiver operating characteristic curve area was 0.738 (95% CI, 0.616–0.859; P &lt; 0.001) for Hcy levels. Considering the Hcy concentration of 14.07 μmol/L as the cutoff value, the sensitivity and specificity of predicting the coexistence of first-attack NMOSD and CTD were 56 and 89.8%, respectively.ConclusionsWhen the first-attack NMOSD patients are complicated with CTD, they have a higher recurrence rate, more recurrences, earlier first recurrence, higher serum Hcy levels, and enhanced systemic inflammatory reactions. Furthermore, Hcy levels may help to screen for CTD in patients with first-attack NMOSD.
Transcranial current stimulation in epilepsy: A systematic review of the fundamental and clinical aspects
Authors: Simula Sara , Daoud Maëva , Ruffini Giulio , Biagi Maria Chiara , Bénar Christian-G. , Benquet Pascal , Wendling Fabrice , Bartolomei Fabrice 
Published: August 2022

PurposeTranscranial electrical current stimulation (tES or tCS, as it is sometimes referred to) has been proposed as non-invasive therapy for pharmacoresistant epilepsy. This technique, which includes direct current (tDCS) and alternating current (tACS) stimulation involves the application of weak currents across the cortex to change cortical excitability. Although clinical trials have demonstrated the therapeutic efficacy of tES, its specific effects on epileptic brain activity are poorly understood. We sought to summarize the clinical and fundamental effects underlying the application of tES in epilepsy.MethodsA systematic review was performed in accordance with the PRISMA guidelines. A database search was performed in PUBMED, MEDLINE, Web of Science and Cochrane CENTRAL for articles corresponding to the keywords “epilepsy AND (transcranial current stimulation OR transcranial electrical stimulation)”.ResultsA total of 56 studies were included in this review. Through these records, we show that tDCS and tACS epileptic patients are safe and clinically relevant techniques for epilepsy. Recent articles reported changes of functional connectivity in epileptic patients after tDCS. We argue that tDCS may act by affecting brain networks, rather than simply modifying local activity in the targeted area. To explain the mechanisms of tES, various cellular effects have been identified. Among them, reduced cell loss, mossy fiber sprouting, and hippocampal BDNF protein levels. Brain modeling and human studies highlight the influence of individual brain anatomy and physiology on the electric field distribution. Computational models may optimize the stimulation parameters and bring new therapeutic perspectives.ConclusionBoth tDCS and tACS are promising techniques for epilepsy patients. Although the clinical effects of tDCS have been repeatedly assessed, only one clinical trial has involved a consistent number of epileptic patients and little knowledge is present about the clinical outcome of tACS. To fill this gap, multicenter studies on tES in epileptic patients are needed involving novel methods such as personalized stimulation protocols based on computational modeling. Furthermore, there is a need for more in vivo studies replicating the tES parameters applied in patients. Finally, there is a lack of clinical studies investigating changes in intracranial epileptiform discharges during tES application, which could clarify the nature of tES-related local and network dynamics in epilepsy.
Network pharmacology and molecular docking analysis reveal insights into the molecular mechanism of shiliao decoction in the treatment of cancer-associated malnutrition
Authors: Long Sidan , Ji Shuangshuang , Xue Peng , Xie Hongting , Ma Yinjie , Zhu Shijie 
Published: August 2022

PurposeShiliao Decoction (SLD) was developed for treatment and prevention of cancer-associated malnutrition (CAM) in China. In this study, we aim to discover SLD’s active compounds and demonstrate the mechanisms of SLD that combat CAM through network pharmacology and molecular docking techniques.MethodsAll components of SLD were retrieved from the pharmacology database of Traditional Chinese Medicine Systems Pharmacology (TCMSP). The GeneCards database and the Online Mendelian Inheritance in Man database (OMIM) were used to identify gene encoding target compounds, and Cytoscape was used to construct the drug compound–target network. The network of target protein-protein interactions (PPI) was constructed using the STRING database, while gene ontology (GO) functional terms and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways associated with potential targets were analyzed using a program in R language (version 4.2.0). Core genes linked with survival and the tumor microenvironment were analyzed using the Kaplan–Meier plotter and TIMER 2.0 databases, respectively. Protein expression and transcriptome expression levels of core gene were viewed using the Human Protein Atlas (HPA) and the Cancer Genome Atlas (TCGA). A component-target-pathway (C-T-P) network was created using Cytoscape, and Autodock Vina software was used to verify the molecular docking of SLD components and key targets.ResultsThe assembled compound–target network primarily contained 134 compounds and 147 targets of the SLD associated with JUN, TP53, MAPK3, MAPK1, MAPK14, STAT3, AKT1, HSP90AA1, FOS, and MYC, which were identified as core targets by the PPI network. KEGG pathway analysis revealed pathways involved in lipid and atherosclerosis, the PI3K/Akt signaling pathway, and immune-related pathways among others. JUN is expressed at different levels in normal and cancerous tissues, it is closely associated with the recruitment of different immune cells and has been shown to have a significant impact on prognosis. The C-T-P network suggests that the active component of SLD is capable of regulating target genes affecting these related pathways. Finally, the reliability of the core targets was evaluated using molecular docking technology.ConclusionThis study revealed insights into SLD’s active components, potential targets, and possible molecular mechanisms, thereby demonstrating a potential method for examining the scientific basis and therapeutic mechanisms of TCM formulae.
Comparison of surgical resection and radiofrequency ablation for stages I and II elderly hepatocellular carcinoma patients (≥ 65 years): A SEER population-based propensity score matching’s study
Authors: Xie Qingqing , Yang Yongwen , Qu Bin , Xiao Ping , Tang Faqing , Shen Haoming 
Published: August 2022

ObjectivesThe treatment for hepatocellular carcinoma (HCC) remains controversial and limited in elderly patients. Therefore, we aimed to explore treatment choices for the elderly patients (≥ 65years) following surgical resection (SR) versus radiofrequency ablation (RFA) with HCC (single lesion less than 5 cm).MethodsWe used SEER database to identify HCC patients who received treatment of SR/RFA. Kaplan–Meier method and Cox proportional hazards regression method were used to determine the prognostic factors associated with overall survival (OS) and disease-specific survival (DSS). In addition, RFA group and SR group patients were matched with 1:1 propensity score matching (PSM) for diagnosis age, sex, race, marital, American Joint Committee on Cancer (AJCC), grade, radiotherapy, and chemotherapy to decrease the possibility of selection bias. Conditional disease-specific survival (CS) was estimated using the life-table method.ResultsA total of 794 patients who underwent SR and 811 patients who underwent RFA were confirmed from the SEER database. Surgery type was an independent risk factor for HCC. Survival analysis indicated that SR, races, AJCC I, no chemotherapy treatment, and grade I were cumulative risk factors that can significantly improve median survival for HCC (P &lt; 0.05). After PSM analysis, only surgery type was significantly improved median survival of HCC patients (SR vs. RFA, HR: 0.644, 95% CI: 0.482–0.86; P &lt; 0.001). For RFA group, the 2-, 3-, and 5-year CS rates were approximately 71%, 65%, and 62%, respectively, and corresponding to 82%, 80%, and 78% in the SR group.ConclusionSR treatment can provide survival benefits for elderly patients of &lt;5 cm single lesion HCC.
Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer
Authors: Tu Jia-xin , Lin Xue-ting , Ye Hui-qing , Yang Shan-lan , Deng Li-fang , Zhu Ruo-ling , Wu Lei , Zhang Xiao-qiang 
Published: August 2022

ObjectiveUsing visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated.MethodsOn April 7th, 2022, articles and reviews regarding the application of AI in esophageal cancer, published between 2000 and 2022 were chosen from the Web of Science Core Collection. To conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field, VOSviewer (version 1.6.18), CiteSpace (version 5.8.R3), Microsoft Excel 2019, R 4.2, an online bibliometric platform (http://bibliometric.com/) and an online browser plugin (https://www.altmetric.com/) were used.ResultsA total of 918 papers were included, with 23,490 citations. 5,979 authors, 39,962 co-cited authors, and 42,992 co-cited papers were identified in the study. Most publications were from China (317). In terms of the H-index (45) and citations (9925), the United States topped the list. The journal “New England Journal of Medicine” of Medicine, General &amp; Internal (IF = 91.25) published the most studies on this topic. The University of Amsterdam had the largest number of publications among all institutions. The past 22 years of research can be broadly divided into two periods. The 2000 to 2016 research period focused on the classification, identification and comparison of esophageal cancer. Recently (2017-2022), the application of artificial intelligence lies in endoscopy, diagnosis, and precision therapy, which have become the frontiers of this field. It is expected that closely esophageal cancer clinical measures based on big data analysis and related to precision will become the research hotspot in the future.ConclusionsAn increasing number of scholars are devoted to artificial intelligence-related esophageal cancer research. The research field of artificial intelligence in esophageal cancer has entered a new stage. In the future, there is a need to continue to strengthen cooperation between countries and institutions. Improving the diagnostic accuracy of esophageal imaging, big data-based treatment and prognosis prediction through deep learning technology will be the continuing focus of research. The application of AI in esophageal cancer still has many challenges to overcome before it can be utilized.
A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy
Authors: Chen Xinyuan , Liu Yuxiang , Yang Bining , Zhu Ji , Yuan Siqi , Xie Xuejie , Liu Yueping , Dai Jianrong , Men Kuo 
Published: August 2022

PurposeThe challenge of cone-beam computed tomography (CBCT) is its low image quality, which limits its application for adaptive radiotherapy (ART). Despite recent substantial improvement in CBCT imaging using the deep learning method, the image quality still needs to be improved for effective ART application. Spurred by the advantages of transformers, which employs multi-head attention mechanisms to capture long-range contextual relations between image pixels, we proposed a novel transformer-based network (called TransCBCT) to generate synthetic CT (sCT) from CBCT. This study aimed to further improve the accuracy and efficiency of ART.Materials and methodsIn this study, 91 patients diagnosed with prostate cancer were enrolled. We constructed a transformer-based hierarchical encoder–decoder structure with skip connection, called TransCBCT. The network also employed several convolutional layers to capture local context. The proposed TransCBCT was trained and validated on 6,144 paired CBCT/deformed CT images from 76 patients and tested on 1,026 paired images from 15 patients. The performance of the proposed TransCBCT was compared with a widely recognized style transferring deep learning method, the cycle-consistent adversarial network (CycleGAN). We evaluated the image quality and clinical value (application in auto-segmentation and dose calculation) for ART need.ResultsTransCBCT had superior performance in generating sCT from CBCT. The mean absolute error of TransCBCT was 28.8 ± 16.7 HU, compared to 66.5 ± 13.2 for raw CBCT, and 34.3 ± 17.3 for CycleGAN. It can preserve the structure of raw CBCT and reduce artifacts. When applied in auto-segmentation, the Dice similarity coefficients of bladder and rectum between auto-segmentation and oncologist manual contours were 0.92 and 0.84 for TransCBCT, respectively, compared to 0.90 and 0.83 for CycleGAN. When applied in dose calculation, the gamma passing rate (1%/1 mm criterion) was 97.5% ± 1.1% for TransCBCT, compared to 96.9% ± 1.8% for CycleGAN.ConclusionsThe proposed TransCBCT can effectively generate sCT for CBCT. It has the potential to improve radiotherapy accuracy.
Are we undertreating calcium deficiency in metabolic bone disease of prematurity? A case report and review
Authors: Boddu Sirisha Kusuma , Lankala Reena 
Published: August 2022

BackgroundBoth calcium (Ca) and phosphorus (P) are needed to prevent and treat metabolic bone disease (MBDP). However, the predominant focus of many treating neonatologists lies in supplementing P and vitamin D. In this report, we describe a VLBW infant with severe MBDP due to inadequately treated calcium deficiency and discuss the need to recognize this entity.Case details and managementA 25-week, 700 gm baby boy had chronic lung disease and necrotizing enterocolitis. He received total parenteral nutrition, budesonide, furosemide, and caffeine. With high serum alkaline phosphatase (ALP: 1,700 IU/L) and low P (2.8 mg/dl), MBDP was diagnosed at 12 weeks, started on oral phosphate, human milk fortifier, and 1,400 IU/d of vitamin D before discharge. He was readmitted 2 weeks later with decreased lower limb mobility and respiratory distress. X-rays revealed severe osteopenia and fractures of both femurs. Serum P was 4.6 mg/dl but ALP was high (1,700 IU/L), and Ca was low (6.4 mg/dl). Parathyroid hormone (PTH: 605 pg/ml) and 25-hydroxy Vitamin D (25 OHD &gt; 200 ng/ml) were very high. We discontinued his P and vitamin D, hypocalcemia treated with IV Ca gluconate, later oral Ca citrate, and calcitriol. Phosphate was added after normalization of Ca. Over the next many weeks, X-rays and biochemistry improved.DiscussionMBDP results from both Ca and P deficiencies, especially in VLBW infants with comorbidities. P supplementation without treating underlying calcipenia can precipitate hypocalcemia and worsen osteopenia with disastrous consequences. In severe calcipenia, active vitamin D might have a role in addition to an appropriate dose of elemental calcium.
Anti-Inflammatory Effects and Mechanisms of Dandelion in RAW264.7 Macrophages and Zebrafish Larvae
Authors: Li Wenju , Luo Fulong , Wu Xiaohui , Fan Bei , Yang Mingran , Zhong Wu , Guan Dongyan , Wang Fengzhong , Wang Qiong 
Published: August 2022

Dandelions (Taraxacum spp.) play an important role in the treatment of inflammatory diseases. In this study, we investigated the anti-inflammatory effects of Dandelion Extract (DE) in LPS-induced RAW264.7 macrophages and copper sulfate (CuSO4)-induced zebrafish larvae. DE was not toxic to RAW264.7 cells at 75 μg/ml as measured by cell viability, and DE inhibited LPS-induced cell morphological changes as measured by inverted microscopy. In survival experiments, DE at 25 μg/ml had no toxicity to zebrafish larvae. By using an enzymatic standard assay, DE reduced the production of nitric oxide (NO) in LPS-induced RAW264.7 cells. Fluorescence microscopy results show that DE reduced LPS-induced ROS production and apoptosis in RAW264.7 cells. DE also inhibited CuSO4-induced ROS production and neutrophil aggregation in zebrafish larvae. The results of flow cytometry show that DE alleviated the LPS-induced cell cycle arrest. In LPS-induced RAW264.7 cells, RT-PCR revealed that DE decreased the expression of M1 phenotypic genes iNOS, IL-6, and IL-1β while increasing the expression of M2 phenotypic genes IL-10 and CD206. Furthermore, in CuSO4-induced zebrafish larvae, DE reduced the expression of iNOS, TNF-α, IL-6, and IL-10. The findings suggest that DE reduces the LPS-induced inflammatory response in RAW264.7 cells by regulating polarization and apoptosis. DE also reduces the CuSO4-induced inflammatory response in zebrafish larvae.