bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Lnc RNA WASH7P In Prognosis And Immune Infiltrates Of Cholangiocarcinoma
Authors: Zhang Baoluhe , Jin Bao , Liu Zeye , Wang Yuxin , Wu Xiangan , Xing Jiali , Du Shunda 
Published: May 2023

Abstract
Background
As a kind of highly lethal adenocarcinoma, cholangiocarcinoma (CCA) still suffers from lack of sufficient prognostic and therapeutic approaches nowadays, for which surgical resection remains the only potentially curative treatment. Recently long non-coding RNAs (lncRNAs) were discovered to be related with tumorigenesis and progression in many types of solid tumors, including CCA. However, the relation between WASP family homolog 7 pseudogene (WASH7P) and CCA has not been described yet.
Method
In this study, we evaluated the prognostic value and immune infiltration link of WASH7P in CCA based on data from The Cancer Genome Atlas (TCGA) database. We use the ClusterProfiler package to perform Gene Ontology (GO) functional enrichment analysis. Spearman correlation and Wilcoxon rank sum test were used to evaluate the relationship between WASH7P expression and immune cell infiltration. The relation between WASH7P expression and clinical features was evaluated by Welch one-way ANOVA and logistic regression. Prognostic value of WASH7P was evaluated through univariate Cox regression analysis and multivariate Cox analysis. The receiver operating characteristics (ROC) analysis of WASH7P was performed through pROC software package.
Results
GO enrichment suggested WASH7P is closely related to oxygen consumption and hypoxia in tumor microenvironment (TME). Spearman correlation suggested that WASH7P expression is negatively correlated with immune cells infiltration, especially neutrophils and macrophages. And high WASH7P expression is associated with poor OS in CCA.
Conclusion
All those findings indicated that WASH7P was correlated with prognosis and
Who were the lonely people? A snapshot from a Spanish population-based cohort from before and during the COVID-19 pandemic
Authors: Sierralaya Jesus , Lara Elvira , Castelletti Chiara , Dolz-del-Castellar Blanca , Miret Marta , Domenech-Abella Joan , Gabarrel-Pascuet Aina , Haro Josep María , Ayuso-Mateos Jose Luis , Morillo Daniel 
Published: May 2023

Abstract
Purpose
This study aims to assess the changes in loneliness during the first wave of the COVID-19 pandemic and to explore the factors that are associated with these changes.
Methods
We interviewed 1102 participants from a longitudinal adult population from the provinces of Madrid and Barcelona (Spain) belonging to the Edad con Salud project. Two interviews were carried out: before, and during the lockdown. Loneliness was measured with the UCLA loneliness scale, and covariates related to sociodemographic, psychosocial, and health and wellbeing domains were measured.
Results
Descriptive and multivariate analyses revealed a trend of increased loneliness among younger individuals, those experiencing economic decline, and participants depressed during the lockdown. In contrast, a decreasing trend in loneliness was observed among participants who were older, only had primary education, had limited virtual contact, previously had depression, or had medium/high neuroticism. A regression model showed that the relevant factors associated with the changes in loneliness during the lockdown were: changes in social relationships (β= 1.05, p-value < 0.001), depression during the lockdown (β = 1.12, p-value < 0.001), and neuroticism (β = -0.3, p-value < 0.001).
Conclusion
Identifying individuals at risk of increased loneliness during such crises is crucial for prevention and intervention. This study provides insights into relevant contributing factors, informing future public mental health responses.
Using the Elixhauser Risk Adjustment Model to Predict Outcomes Among Patients Hospitalized in Internal Medicine at a Large, Tertiary-Care Hospital in Israel
Authors: Katz David E. , Leibner Gideon , Esayag Yaakov , Kaufman Nechama , Brammli-Greenberg Shuli , Rose Adam J. 
Published: May 2023

Abstract
Background: In Israel, internal medicine admissions are currently reimbursed without accounting for patient complexity. This is at odds with most other developed countries and has the potential to lead to market distortions such as avoiding sicker patients. Our objective was to apply a well-known, freely available risk adjustment model, the Elixhauser model, to predict relevant outcomes among patients hospitalized on the internal medicine service of a large, Israeli tertiary-care hospital.
Methods: We used data from the Shaare Zedek Medical Center (SZMC), a large tertiary referral hospital in Jerusalem. The study included 55,946 hospitalizations between 01.01.2016 – 31.12.2019. We modeled four patient outcomes: in-hospital mortality, escalation of care (intensive care unit (ICU) transfer, mechanical ventilation, daytime bi-level positive pressure ventilation, or vasopressors), 30-day readmission, and length of stay (LOS). We log-transformed LOS to address right skew. As is usual with the Elixhauser model, we identified 29 comorbid conditions using international classification of diseases, clinical modification, version 9 (ICD-9 codes). We derived and validated the coefficients for these 29 variables using split-sample derivation and validation. We checked model fit using c-statistics and R2, and model calibration using a Hosmer-Lemeshow test.
Results: The Elixhauser model achieved acceptable prediction of the three binary outcomes, with c-statistics of 0.712, 0.681, and 0.605 to predict in-hospital mortality, escalation of care, and 30-day readmission respectively. The c-statistic did not decrease in the validation set (0.707, 0.687, and 0.603, respectively), suggesting that the models are not overfitted. The model to predict log length of stay achieved an R2 of 0.102 in the derivation set and 0.101 in the validation set. The Hosmer-Lemeshow test did not suggest issues with model calibration.
Conclusion: We demonstrated that a freely-available risk adjustment model can achieve acceptable prediction of important clinical outcomes in a dataset of patients admitted to a large, Israeli tertiary-care hospital. This model could potentially be used as a basis for differential payment by patient complexity.
Pharmacists in general practice – What do they do? A qualitative case study
Authors: Kempen Thomas Gerardus Hendrik , Koumi Rouzi , Sporrong Sofia Kälvemark 
Published: May 2023

Abstract
Background Pharmacists working in general practice are a relatively new phenomenon in many European countries. Providing insight into what pharmacists do in general practice may support further implementation of general practice-based pharmacists and their contribution to health care.Aim To explore the tasks performed by pharmacists in general practice in Sweden.Method A case study was conducted in 7 general practices in Region Uppsala, Sweden, where a pharmacist was employed. Activities other than medication reviews performed by pharmacists were self-reported during March 2021. Participant observations of and semi-structured interviews with pharmacists were conducted between October and November 2021. Self-reported activities were categorised and analysed using descriptive statistics. Qualitative data were analysed with conventional content analysis.Results In total, 174 activities were self-reported by 7 pharmacists. Two pharmacists were observed for 2 days each, and 6 pharmacists were interviewed. Their main task was conducting medication reviews in older patients with polypharmacy. In addition, they handled a broad variety of drug-related questions and treatment follow-up. Pharmacists described working in a more efficient and need-based manner over time. They stressed that working at the practice increased their accessibility for and to other healthcare professionals, and enabled them to meet patients face-to-face. Future challenges include defining tasks more clearly, assuming greater responsibility for patient care, and meeting the growing demand for pharmacists in general practice.Conclusion Pharmacists in general practice in Sweden perform a broad variety of tasks related to identifying, resolving and preventing drug-related problems, mainly in older patients with polypharmacy.
Significance of preoperative tooth loss in patients who underwent gastrectomy for gastric cancer
Authors: Azumi Yuki , Kanaji Shingo , Sawada Ryuichiro , Harada Hitoshi , Urakawa Naoki , Goto Hironobu , Hasegawa Hiroshi , Yamashita Kimihiro , Matsuda Takeru , Oshikiri Taro , Kakeji Yoshihiro 
Published: May 2023

Abstract
Purpose
The relationship between gastric cancer and oral health has been reported in several studies. This study aimed to clarify the relationship between the postoperative prognosis of gastric cancer and oral health by using preoperative tooth loss as a simple index.
Methods
We conducted a single-center retrospective cohort study. Patients were divided into two groups according to the number of tooth losses. The survival curve was constructed using the Kaplan-Meier method. We also performed univariate and multivariate analyses of overall survival based on Cox proportional hazard regression to determine the prognostic factors.
Results
A total of 191 patients were divided into two groups: those with seven or more tooth loss and those with less than seven tooth loss. The three-year overall survival rate was 71.5% in the group with seven or more tooth loss and 87.0% in the group with less than seven tooth loss. The group with seven or more tooth loss had significantly lower overall survival than the group with less than seven tooth loss (P = 0.0014). Multivariate analysis revealed that age, clinical T stage, CEA level, and serum albumin level were independent poor prognostic factors. However, tooth loss was not an independent prognostic factor.
Conclusion
Preoperative tooth loss was not a prognostic factor for gastric cancer after gastrectomy, but tooth loss may be a simple and useful method for evaluating frailty in patients.
Evaluation of genetic diversity in Cicer arietinum L. (Kabuli Chickpea) germplasm based on multivariate analysis
Authors: Yadav Abhinav , Nath Shiva , Kumar Sujit , Kumar Vinay , Boro Jutika , Yadav Kuldeep 
Published: May 2023

Abstract
Genetic diversity among 43 genotypes of chickpea for 11 quantitative characters; in which Seed yield/plant exhibited positive and highly significant correlations coefficients with biological yield/plant (0.9447), pods/plant (0.7559), seeds/pod (0.5475), harvest index (0.5400) and secondary branches/plant (0.3766). Path coefficients analysis identified biological yield/plant (0.7963g) followed by harvest index (0.2792%), pods/plant (0.0435), 100 seed weight (0.0430g) and days to maturity (0.0417) important direct components for seed yield/plant. Pods/plant (0.6259), seeds/pod (0.4434), secondary branches/plant (0.3307), primary branches/plant (0.3132), days to 50% flowering (0.2431) and days to maturity (0.2339) via biological yield/plant were found important indirect components for seed yield/plant. The characters identified above as important direct and indirect components merit consideration in the formulation of an effective selection strategy in chickpeas for developing high-yielding varieties. So, plant breeders can utilize this germplasm for further crop improvement.
Study on the influence of vibration characteristics on surface roughness in quick-point grinding and prediction model
Authors: pan shuai , Ma Lianjie , yu xueqiao , shan quan 
Published: May 2023

Abstract
The characteristic frequency of vibration was obtained by extracting the vibration characteristics of fluorophlogopite in quick-point grinding, and the characteristic frequency deviation rate was proposed to study the effect of vibration characteristics on surface roughness. Meanwhile, the influence of five process parameters, such as the grinding speed, table feed speed, grinding depth, deflection angle, and inclining angle, on the characteristic frequency deviation rate and surface roughness was also investigated. It reflected the relationship between deviation rate and surface roughness. The experimental results indicated that the process parameters influenced the deviation rate and surface roughness, and the changes of both were synchronized. Moreover, the modified model of the quick-point grinding surface roughness was proposed in the paper, which was based on the prediction model of several scholars. The model included vibration characteristic parameters and five process parameters, which not only kept the accuracy of the prediction model but also realized the introduction of vibration characteristics. It was proved that the prediction effect of the modified model was accurate and reliable. Based on the prediction model of surface roughness including vibration features, the idea of monitoring and controlling surface roughness by real-time vibration signal was put forward.
Terlipressin reduces the incidence of delayed graft function in kidney transplant recipients
Authors: Ma Maolin , Han Fei , Li Heng , Hong Liangqing , Ye Yongrong , Miao Bin , Fang Youqiang , Huang Zhengyu , Na Ning 
Published: May 2023

Abstract
Background
Delayed graft function (DGF) is the most common complication experienced by kidney transplant recipients; therefore, it is critically important to develop an effective method of reducing DGF. Terlipressin can improve kidney function in patients with hepatorenal syndrome; therefore, we hypothesized that terlipressin plays a protective role in DGF and allograft function after transplantation.
Methods
In this retrospective, observational cohort study, we reviewed the medical records of 362 patients who underwent kidney transplantation at our organ transplant center between February 2015 and December 2019. The eligible recipients were divided into two groups based on whether they received terlipressin (Terlipressin group; n = 162) or dopamine (Control group; n = 200) on days 0–2 post-transplantation. The association between DGF and various clinical parameters was assessed using logistic regression analyses, and linear regression analysis was performed for predicting allograft function 30 days after transplantation.
Results
Compared to the Control group, the Terlipressin group had a significantly lower DGF rate (14.2 vs. 23.0%, P = 0.034), a higher estimated glomerular filtration rate during the two days post-transplantation (day 1: 9.54 ± 6.90 vs. 6.35 ± 4.95 mL/min/1.73m2, P < 0.001; day 2: 15.35 ± 11.96 vs. 11.60 ± 10.49 mL/min/1.73 m2, P = 0.002), and a lower urinary tract infection rate (8.0 vs. 16.0%, P = 0.022). Terlipressin (odds ratio [OR], 0.544, 95% confidence interval [CI], 0.297–0.998, P = 0.049) and female recipient (OR, 0.366, 95% CI, 0.172–0.780, P = 0.009) were independent protective factors for DGF. DGF was negatively associated with allograft function 30 days after transplantation (β = 130.210, 95% CI, 103.731–156.688, P < 0.001).
Conclusions
Terlipressin reduced the incidence of DGF in kidney transplant recipients, indicating that it could be used as a new strategy for DGF prevention.
Dynamically electrocatalytic CO2 reduction on Cu-N-C single-atom catalysts
Authors: Qin Yanyang , Zhao Wenshan , Yu Li-Juan , Zhang Jianrui , Wu Tiantian , Su Yaqiong 
Published: May 2023

Abstract
The electroreduction of CO2 (eCO2R) to multi-carbon products, like ethanol, is highly efficient on metallic Cu surfaces. However, recent studies show that Cu-N-C single-atom catalysts (SACs) can also produce high ethanol yields, implying an unknown mechanism. Herein, we systematically investigated Cu sintering during eCO2R over Cu-N-C through multi-scale simulations. We identified two pathways for Cu sintering at negative potentials: direct sintering with H assistance, and Cu agglomeration facilitated by synergistic adsorption of CO and H. The kinetic barriers of Cu spillover through the second pathway were estimated to be lower than that for the first pathway at -1.0 VSHE combining with the constant-potential ab initio molecular dynamic simulations. The sintered Cu clusters alternatively preside over the C2 products. Our findings contribute to understanding the Cu sintering mechanism during eCO2R and the activity origin of Cu-N-C SACs.
Habitat configuration influences mammal populations at a wider spatial extent than habitat composition: a meta-analysis of forest mammal datasets
Authors: Gengler Nicholas W. , Acevedo Miguel A. , Branch Lyn C. 
Published: May 2023

Abstract

Context The spatial extent at which landscape variables most strongly influences wildlife populations (i.e., scale of effect) is of key importance to ecology and conservation. Many factors can influence scales of effect, but these relationships are poorly understood. In particular, the way scales of effect vary with different landscape metrics has not been extensively tested. Objectives Our study examined whether metrics of landscape configuration have wider or narrower scales of effect than habitat composition. We also examined how a variety of factors (i.e., species traits and landscape context) influence the magnitude of these differences in scales of effect between metrics. Methods We calculated scales of effect for four metrics of habitat configuration and one metric of composition directly from species presence/absence data in online repositories. We did so for 102 species of mammals from 33 studies across the globe. Results Two metrics of configuration had significantly wider scales of effect than habitat composition, while the difference between the other two metrics of configuration and composition were not significant. The magnitude of the difference between metrics varied among samples, but none of the factors tested explained this variability. Conclusions If the scale of effect of a metric of composition is known, then a metric of configuration’s scale of effect can be expected to be roughly 15–20% wider. However, this pattern may not hold for metrics of configuration that do not measure attributes of the landscape that mediate species dispersal or that are correlated with the metric of composition.
Predictors for early recurrence beyond up-to-7 or distant metastasis after hepatocellular carcinoma resection: Proposal for borderline resectable HCC
Authors: Harimoto Norifumi , Tsukagoshi Mariko , Seki Takaomi , Hoshino Kouki , Hagiwara Kei , Norihiro Ishii , Igarashi Takamichi , Araki Kenichiro , Shirabe Ken 
Published: May 2023

Abstract
Background
The recurrence rate after curative resection for hepatocellular carcinoma (HCC) reaches over 70% after 5 years. Furthermore, early HCC recurrence (within 1 year) is now recognized as having a poor prognosis and has limited treatment options.
Methods
We retrospectively reviewed 184 consecutive patients who underwent curative hepatic resection for HCC in our institute. Severe early recurrence was defined as multiple (beyond up-to-7) liver recurrence or distant metastasis after hepatic resection within 1 year. We divided the participants into two groups according to severe early recurrence and analyzed clinicopathological and long-term outcomes.
Results
Among the patients with hepatic multiple, up-to-7 out, and distant metastasis (n = 59), 49 patients (83%) had recurrence within 1 year. Overall survival (OS) and recurrence-free survival (RFS) were significantly worse in the severe early recurrence group than in the others group. Logistic regression analysis revealed that severe early recurrence was significantly associated with macroscopic vascular invasion (MVI), tumor burden score (TBS) > 4.70 and ALBI grade 2. In patients with a score of 2 and 3 (the sum of the three factors in the multivariate analysis (MVI, TBS > 4.70 and ALBI grade 2)), OS and RFS rates were significantly poorer than those of patients with a score of 0 or 1. Positive predict value and negative predict value for severe early recurrence was 68.4% and 84.2%, respectively.
Conclusions
In this retrospective analysis, we found that MVI, TBS and ALBI could predict severe early recurrence after hepatic resection for HCC, and patients with these risk factors had a poor prognosis.
A Novel Glycosylation-Related Transcriptome Panel with Immune and Clinical Value Predicts Prognosis and Drug Sensitivity in Clear Cell Renal Cell Carcinomas
Authors: Lin Chenwei , Wu Lei , Lin Sihua 
Published: May 2023

Abstract
Clear cell renal cell carcinomas (ccRCCs) are characterized by relatively high morbidity and mortality worldwide among all types of renal carcinomas. Identifying new targets and molecular prognostic biomarkers is critical for more accurate clinical diagnosis and therapy. Glycosylation shows a great impact on the development of ccRCC and may be of great help for its prognosis. Herein, we constructed a thirteen glycosylation-related genes (GRGs) risk model. Two groups were identified by their scores and we applied survival analysis to characterize independent risk factors for prognosis. The high-risk group had a worse clinical outcome than the low-risk group. In addition, cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) expression level was in positive relation with the risk score according to the correlation analysis and drug sensitive data were evaluated by the National Cancer Institute (NCI) 60 human tumour cell line anticancer drug screen (NCI-60). Furthermore, the molecular gene cluster of ccRCC based on the glycosylation level performed well in the prognosis prediction together with immune response feature and might provide novel strategies for application in improving the performance of immune checkpoint inhibitor (ICI) treatment. In summary, our study provided a novel prediction tool for ccRCC patients with immune and clinicopathological characteristics. It could act as a risk factor and may participate in the prediction of immunotherapy.
WITHDRAWN: Green method for the analysis of nitenpyram and pymetrozine in tea
Authors: Yu Huan , Wang Xinru , Sun Hezhi , Liang Yabo , Guo Mingming , Yu Jiawei , Zhang Xinzhong , Yang Mei , Luo Fengjian , Chen Zongmao , Zhou Li 
Published: May 2023

Abstract
Nitenpyram and pymetrozine are widely used polar pesticides as well as in tea cultivation. More costly and toxic organic reagents were involved in the present detection methods. There is a continuing search for more eco-friendly methods. An eco-friendly approach was established and optimized to analyze the presence of two hydrophilic insecticides including nitenpyram and pymetrozine in tea. The method involved the use of boiling water instead of organic solvent, followed by PCX solid phase extraction (SPE) cleanup and determination with ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). On average 83.2–98.8% of nitenpyram and pymetrozine were recovered from tea with relative standard deviations (RSDs) below 7%. The limits of quantification (LOQs) were 0.025 mg·kg-1. This organic solvent-saving approach offers a reliable and effective alternative for detecting nitenpyram and pymetrozine from tea samples, which can serve as a practical tool for tea safety and market supervision.