bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of secondary traumatic stress breakthrough champions in reducing worker trauma and improving organizational health using a configurational analysis approach
Authors: Sprang Ginny , Miech Edward J. , Gusler Stephanie 
Published: March 2023

Background Emerging research has demonstrated that organizational efforts at becoming secondary traumatic stress (STS)-informed can improve the overall well-being of the workforce, especially when implementation activity by a champion team is high. Questions remain, however, regarding the mechanisms that enable these improvements. Method This study uses configurational analysis to determine necessary and sufficient conditions to produce reductions in STS symptoms in workers as well as organizational improvements toward being more STS-informed in a cohort survey of 6,033 professionals working with individuals exposed to trauma representing 52 organizations. The Secondary Traumatic Stress Informed Organizational Assessment (STSI-OA) was used to measure professional's perceptions of how well the unit addressed secondary trauma in the workplace, and the Secondary Traumatic Stress Scale (STSS) assessed traumatic stress symptoms in respondents. Champions' activity was scored using the categories suggested by Shea. Results For the STSS outcome, either a STSI-OA positive increase of 10 or more points or high levels of champion problem-solving were independently sufficient for an improvement in the outcome. The STSI-OA model had two pathways: high levels of peer engagement via the scaling up of innovations using PDSAs or the combination of facilitation of peer knowledge and skills together with working in a child welfare organization. Either pathway was sufficient by itself to yield the STSI-OA outcome. Conclusions Identifying and cultivating the champions' use of problem-solving and peer engagement strategies can transform the threat posed by indirect trauma exposure into an opportunity for shared experience and healing.
Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis
Authors: Ning Jingyuan , Sun Keran , Wang Xuan , Fan Xiaoqing , Jia Keqi , Cui Jinlei , Ma Cuiqing 
Published: March 2023

Abstract
Background
Although significant advances have been made in intensive care medicine and antibacterial treatment, sepsis is still a common disease with high mortality. The condition of sepsis patients changes rapidly, and each hour of delay in the administration of appropriate antibiotic treatment can lead to a 4–7% increase in fatality. Therefore, early diagnosis and intervention may help improve the prognosis of patients with sepsis.

Methods
We obtained single-cell sequencing data from 12 patients. This included 14,622 cells from four patients with bacterial infectious sepsis and eight patients with sepsis admitted to the ICU for other various reasons. Monocyte differentiation trajectories were analyzed using the “monocle” software, and differentiation-related genes were identified. Based on the expression of differentiation-related genes, 99 machine-learning combinations of prognostic signatures were obtained, and risk scores were calculated for all patients. The “scissor” software was used to associate high-risk and low-risk patients with individual cells. The “cellchat” software was used to demonstrate the regulatory relationships between high-risk and low-risk cells in a cellular communication network. The diagnostic value and prognostic predictive value of Enah/Vasp-like (EVL) were determined. Clinical validation of the results was performed with 40 samples. The “CBNplot” software based on Bayesian network inference was used to construct EVL regulatory networks.

Results
We systematically analyzed three cell states during monocyte differentiation. The differential analysis identified 166 monocyte differentiation-related genes. Among the 99 machine-learning combinations of prognostic signatures constructed, the Lasso + CoxBoost signature with 17 genes showed the best prognostic prediction performance. The highest percentage of high-risk cells was found in state one. Cell communication analysis demonstrated regulatory networks between high-risk and low-risk cell subpopulations and other immune cells. We then determined the diagnostic and prognostic value of EVL stabilization in multiple external datasets. Experiments with clinical samples demonstrated the accuracy of this analysis. Finally, Bayesian network inference revealed potential network mechanisms of EVL regulation.

Conclusions
Monocyte differentiation-related prognostic signatures based on the Lasso + CoxBoost combination were able to accurately predict the prognostic status of patients with sepsis. In addition, low EVL expression was associated with poor prognosis in sepsis.
Bilateral exudative retinal detachment, unusual pattern of uveitis with multiple sclerosis
Authors: Helal Rehab Sabry , Arya Saket , Abu Sbeit Rami , Elshafei Maha 
Published: March 2023

AbstractMS (Multiple sclerosis) associated uveitis used to have limited phenotypes. Bilateral exudative retinal detachment has never been recognized as a pattern of MS-associated uveitis. We are reporting a patient with multiple sclerosis who presented initially with the usual pattern of intermediate uveitis and later developed bilateral exudative retinal detachment.
Comparative analysis of complete Artemisia subgenus Seriphidium (Asteraceae: Anthemideae) chloroplast genomes: insights into structural divergence and phylogenetic relationships
Authors: Jin Guangzhao , Li Wenjun , Song Feng , Yang Lei , Wen Zhibin , Feng Ying 
Published: March 2023

Abstract
Background
Artemisia subg. Seriphidium, one of the most species-diverse groups within Artemisia, grows mainly in arid or semi-arid regions in temperate climates. Some members have considerable medicinal, ecological, and economic value. Previous studies on this subgenus have been limited by a dearth of genetic information and inadequate sampling, hampering our understanding of their phylogenetics and evolutionary history. We therefore sequenced and compared the chloroplast genomes of this subgenus, and evaluated their phylogenetic relationships.

Results
We newly sequenced 18 chloroplast genomes of 16 subg. Seriphidium species and compared them with one previously published taxon. The chloroplast genomes, at 150,586–151,256 bp in length, comprised 133 genes, including 87 protein-coding genes, 37 tRNA genes, 8 rRNA genes, and one pseudogene, with GC content of 37.40–37.46%. Comparative analysis showed that genomic structures and gene order were relatively conserved, with only some variation in IR borders. A total of 2203 repeats (1385 SSRs and 818 LDRs) and 8 highly variable loci (trnK – rps16, trnE – ropB, trnT, ndhC – trnV, ndhF, rpl32 – trnL, ndhG – ndhI and ycf1) were detected in subg. Seriphidium chloroplast genomes. Phylogenetic analysis of the whole chloroplast genomes based on maximum likelihood and Bayesian inference analyses resolved subg. Seriphidium as polyphyletic, and segregated into two main clades, with the monospecific sect. Minchunensa embedded within sect. Seriphidium, suggesting that the whole chloroplast genomes can be used as molecular markers to infer the interspecific relationship of subg. Seriphidium taxa.

Conclusion
Our findings reveal inconsistencies between the molecular phylogeny and traditional taxonomy of the subg. Seriphidium and provide new insights into the evolutionary development of this complex taxon. Meanwhile, the whole chloroplast genomes with sufficiently polymorphic can be used as superbarcodes to resolve interspecific relationships in subg. Seriphidium.
Effect of butorphanol on visceral pain in patients undergoing gastrointestinal endoscopy: a randomized controlled trial
Authors: Wang Jing , Wang Xinyan , Liu Haiyang , Han Ruquan 
Published: March 2023

Abstract
Background
Butorphanol slightly influences the respiratory and circulatory systems, has a better effect on relieving the discomfort caused by mechanical traction, and has a low incidence of postoperative nausea and vomiting (PONV). Combined butorphanol and propofol may suppress postoperative visceral pain, which is avoidable in gastrointestinal endoscopy. Thus, we hypothesized that butorphanol could decrease the incidence of postoperative visceral pain in patients undergoing gastroscopy and colonoscopy.

Methods
This was a randomized, placebo-controlled, and double-blinded trial. Patients undergoing gastrointestinal endoscopy were randomized to intravenously receive either butorphanol (Group I) or normal saline (Group II). The primary outcome was visceral pain after the procedure 10 min after recovery. The secondary outcomes included the rate of safety outcomes and adverse events. Postoperative visceral pain was defined as a visual analog scale (VAS) score ≥ 1.

Results
A total of 206 patients were enrolled in the trial. Ultimately, 203 patients were randomly assigned to Group I (n = 102) or Group II (n = 101). In total, 194 patients were included in the analysis: 95 in Group I and 99 in Group II. The incidence of visceral pain at 10 min after recovery was found to be statistically lower with butorphanol than with the placebo (31.5% vs. 68.5%, respectively; RR: 2.738, 95% CI [1.409–5.319], P = 0.002), and the notable difference was in pain level or distribution of visceral pain (P = 0.006).

Conclusions
The trial indicated that adding butorphanol to propofol results in a lower incidence of visceral pain after surgery without noticeable fluctuations in circulatory and respiratory functions for gastrointestinal endoscopy patients.

Trial registration
Clinicaltrials.gov NCT04477733 (PI: Ruquan Han; date of registration: 20/07/2020).
Identification through machine learning of potential immune- related gene biomarkers associated with immune cell infiltration in myocardial infarction
Authors: Dong Hao , Yan Shi-Bai , Li Guo-Sheng , Huang Zhi-Guang , Li Dong-Ming , Tang Yu-lu , Le Jia-Qian , Pan Yan-Fang , Yang Zhen , Pan Hong-Bo , Chen Gang , Li Ming-Jie 
Published: March 2023

Abstract
Background
To investigate the potential role of immune-related genes (IRGs) and immune cells in myocardial infarction (MI) and establish a nomogram model for diagnosing myocardial infarction.

Methods
Raw and processed gene expression profiling datasets were archived from the Gene Expression Omnibus (GEO) database. Differentially expressed immune-related genes (DIRGs), which were screened out by four machine learning algorithms-partial least squares (PLS), random forest model (RF), k-nearest neighbor (KNN), and support vector machine model (SVM) were used in the diagnosis of MI.

Results
The six key DIRGs (PTGER2, LGR6, IL17B, IL13RA1, CCL4, and ADM) were identified by the intersection of the minimal root mean square error (RMSE) of four machine learning algorithms, which were screened out to establish the nomogram model to predict the incidence of MI by using the rms package. The nomogram model exhibited the highest predictive accuracy and better potential clinical utility. The relative distribution of 22 types of immune cells was evaluated using cell type identification, which was done by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm. The distribution of four types of immune cells, such as plasma cells, T cells follicular helper, Mast cells resting, and neutrophils, was significantly upregulated in MI, while five types of immune cell dispersion, T cells CD4 naive, macrophages M1, macrophages M2, dendritic cells resting, and mast cells activated in MI patients, were significantly downregulated in MI.

Conclusion
This study demonstrated that IRGs were correlated with MI, suggesting that immune cells may be potential therapeutic targets of immunotherapy in MI.
Patients’ acceptance of a shared cancer follow-up model of care between general practitioners and radiation oncologists: A population-based survey using the theoretical Framework of Acceptability
Authors: Sandell Tiffany , Schütze Heike , Miller Andrew , Ivers Rowena 
Published: March 2023

Abstract
Introduction
International and national guidelines highlight the need for general practitioner involvement during and after active cancer treatment and throughout long-term follow-up care. This paper aimed to evaluate patients’ acceptance of radiation oncology shared follow-up care using the Theoretical Framework of Acceptability (TFA).

Methods
This cross-sectional study was conducted at two cancer care centres in the Illawarra Shoalhaven region of Australia. A sample of patients scheduled for a radiation oncology follow-up consultation in 2021 were sent a 32-point self-complete paper-based survey. Data were analysed using descriptive, parametric and non-parametric statistical analysis. This paper followed the Checklist for Reporting of Survey Studies (CROSS).

Results
Of the 414 surveys returned (45% response rate), the acceptance for radiation oncology shared cancer follow-up care was high (80%). Patients treated with only radiotherapy were 1.7 times more likely to accept shared follow-up care than those treated with multiple modalities. Patients who preferred follow-up care for fewer than three years were 7.5 times more likely to accept shared care than those who preferred follow-up care for five years. Patients who travelled more than 20 minutes to their radiation oncologist or to the rural cancer centre were slightly more likely to accept shared care than those who travelled less than twenty minutes to the regional cancer centre. A high understanding of shared care (Intervention Coherence) and a positive feeling towards shared care (Affective Attitude) were significant predictive factors in accepting shared radiation oncology follow-up care.

Conclusion
Health services need to ensure patient preferences are considered to provide patient-centred cancer follow-up care. Shared cancer follow-up care implementation should start with patients who prefer a shorter follow-up period and understand the benefits of shared care. However, patients’ involvement needs to be considered alongside other clinical risk profiles and organisational factors. Future qualitative research using the TFA constructs is warranted to inform clinical practice change.
The experience of loneliness among the Chinese bereaved parents—a qualitative study from the life course perspective
Authors: Hu Qian , Wang Ning 
Published: March 2023

Abstract
Background
With the implementation of the 37 years one-child policy, many couples only have one child in China. Chinese parents whose only child died and did not give birth to or adopt another child are known as “Shidu” parents or “Shiduer”. Characterised by elements of childlessness, bereavement, and ageing, Shiduer are at a higher risk of experiencing loneliness. However, little is known about their loneliness experience. Adopting a life course perspective, this research aims to investigate how loneliness was experienced and coped by older Chinese Shidu parents and identify the most vulnerable groups for policy intervention.

Methods
Qualitative method was adopted for this study. Semi-structured interviews were conducted with 27 participants from urban and rural Wuhan, the capital city of Hubei province in central China, to collect data on participants’ life course related resources and loneliness experience after bereavement. An abductive approach was used to analyse the data.

Results
The results demonstrate that the social environment (urban/rural), timing of bereavement (midlife/older age), social network (strong/weak), and coping strategies (escape-avoidance/problem-solving) differentiate the experience of loneliness among the Shiduer. Those who lived in rural communities, those bereaved in older age, those who had a weak social network, and those who adopted the escape-avoidance strategy were found vulnerable and suffered from more chronic and intensive loneliness than their counterparts without these characteristics.

Conclusion
This study is among the first attempts to examine loneliness experience and coping among older Chinese bereaved parents from a qualitative, life course perspective. It provides insights into how loneliness has been perceived and experienced differently among the bereaved one-child parents in China. The results of the current study provide important implications for policymakers and practitioners/social workers for the intervention of loneliness.
Diagnostic accuracy of eHealth literacy measurement tools in older adults: a systematic review
Authors: Huang Yu Qing , Liu Laura , Goodarzi Zahra , Watt Jennifer A. 
Published: March 2023

Abstract
Background
In Canada, virtual health care rapidly expanded during the COVID-19 pandemic. There is substantial variability between older adults in terms of digital literacy skills, which precludes equitable participation of some older adults in virtual care. Little is known about how to measure older adults’ electronic health (eHealth) literacy, which could help healthcare providers to support older adults in accessing virtual care. Our study objective was to examine the diagnostic accuracy of eHealth literacy tools in older adults.

Methods
We completed a systematic review examining the validity of eHealth literacy tools compared to a reference standard or another tool. We searched MEDLINE, EMBASE, CENTRAL/CDSR, PsycINFO and grey literature for articles published from inception until January 13, 2021. We included studies where the mean population age was at least 60 years old. Two reviewers independently completed article screening, data abstraction, and risk of bias assessment using the Quality Assessment for Diagnostic Accuracy Studies-2 tool. We implemented the PROGRESS-Plus framework to describe the reporting of social determinants of health.

Results
We identified 14,940 citations and included two studies. Included studies described three methods for assessing eHealth literacy: computer simulation, eHealth Literacy Scale (eHEALS), and Transactional Model of eHealth Literacy (TMeHL). eHEALS correlated moderately with participants’ computer simulation performance (r = 0.34) and TMeHL correlated moderately to highly with eHEALS (r = 0.47–0.66). Using the PROGRESS-Plus framework, we identified shortcomings in the reporting of study participants’ social determinants of health, including social capital and time-dependent relationships.

Conclusions
We found two tools to support clinicians in identifying older adults’ eHealth literacy. However, given the shortcomings highlighted in the validation of eHealth literacy tools in older adults, future primary research describing the diagnostic accuracy of tools for measuring eHealth literacy in this population and how social determinants of health impact the assessment of eHealth literacy is needed to strengthen tool implementation in clinical practice.

Protocol registration
We registered our systematic review of the literature a priori with PROSPERO (CRD42021238365).
Does benefits-of-breastfeeding language or risks-of-formula-feeding language promote more-positive attitudes toward breastfeeding among midwives and nurses?
Authors: Toda Ayumi , Nanishi Keiko , Shibanuma Akira 
Published: March 2023

AbstractBackgroundMidwives and nurses are crucial in breastfeeding support. Few studies have explored appropriate language for nursing education on breastfeeding. We assessed the impact of the language used on breastfeeding attitudes among midwives and nurses.MethodsA quasi-experimental study was conducted online in Japan among 174 midwives and nurses who had work experience in obstetrics or pediatrics. Participants were allocated to three groups to receive different text messages as the intervention (the benefit of breastfeeding for Group 1; the risk of formula feeding for Group 2; the importance of childcare for Group 3 as the comparison). The Japanese version of the Iowa Infant Feeding Attitude Scale (IIFAS-J) was used to assess breastfeeding attitudes before and after reading the texts. Also, participant reactions to the text were assessed by their responses to three statements. ANOVA, the chi-square test, and the t-test were used for outcome assessments.ResultsThe post-test IIFAS-J score was significantly higher than the pre-test score only for Group 1 (p <  0.01). The percentage of participants who agreed with the content of the text was 70.7% in Group 1 and 48.3% in Group 2. The percentage of participants who reported discomfort with the text was 34.5% in Group 1 and 55.2% in Group 2. No significant difference among groups existed regarding interest in the text. In all three groups, participants who agreed with the text had a higher post-test IIFAS-J score than those who disagreed with the text (6.85 points higher,p <  0.01 in Group 1; 7.19 points higher,p <  0.01 in Group 2; 8.00 points higher,p <  0.02 in Group 3). Discomfort with the text and interest in the text were associated with a significantly higher post-test IIFAS-J score in Group 1 and Group 2 but not in Group 3.Conclusions“Benefits of breastfeeding” language, which conveys the information in a positive manner, appears to be more appropriate than “risks of infant formula” language for creating a positive attitude toward breastfeeding in nursing education.Trial registrationThis study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000023322). Registered 05/08/2016.
NPAS2 promotes aerobic glycolysis and tumor growth in prostate cancer through HIF-1A signaling
Authors: Ma Shuaijun , Chen Yafan , Quan Penghe , Zhang Jingliang , Han Shichao , Wang Guohui , Qi Ruochen , Zhang Xiaoyan , Wang Fuli , Yuan Jianlin , Yang Xiaojian , Jia Weijing , Qin Weijun 
Published: March 2023

Abstract
Background
Prostate cancer (PCa), one of the common malignant tumors, is the second leading cause of cancer-related deaths in men. The circadian rhythm plays a critical role in disease. Circadian disturbances are often found in patients with tumors and enable to promote tumor development and accelerate its progression. Accumulating evidence suggests that the core clock gene NPAS2 (neuronal PAS domain-containing protein 2) has been implicated in tumors initiation and progression. However, there are few studies on the association between NPAS2 and prostate cancer. The purpose of this paper is to investigate the impact of NPAS2 on cell growth and glucose metabolism in prostate cancer.

Methods
Quantitative real-time PCR (qRT-PCR), immunohistochemical (IHC) staining, western blot, GEO (Gene Expression Omnibus) and CCLE (Cancer Cell Line Encyclopedia) databases were used to analyze the expression of NPAS2 in human PCa tissues and various PCa cell lines. Cell proliferation was assessed using MTS, clonogenic assays, apoptotic analyses, and subcutaneous tumor formation experiments in nude mice. Glucose uptake, lactate production, cellular oxygen consumption rate and medium pH were measured to examine the effect of NPAS2 on glucose metabolism. The relation of NPAS2 and glycolytic genes was analyzed based on TCGA (The Cancer Genome Atlas) database.

Results
Our data showed that NPAS2 expression in prostate cancer patient tissue was elevated compared with that in normal prostate tissue. NPAS2 knockdown inhibited cell proliferation and promoted cell apoptosis in vitro and suppressed tumor growth in a nude mouse model in vivo. NPAS2 knockdown led to glucose uptake and lactate production diminished, oxygen consumption rate and pH elevated. NPAS2 increased HIF-1A (hypoxia-inducible factor-1A) expression, leading to enhanced glycolytic metabolism. There was a positive correlation with the expression of NPAS2 and glycolytic genes, these genes were upregulated with overexpression of NPAS2 while knockdown of NPAS2 led to a lower level.

Conclusion
NPAS2 is upregulated in prostate cancer and promotes cell survival by promoting glycolysis and inhibiting oxidative phosphorylation in PCa cells.