bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethics support for ethics support: the development of the Confidentiality Compass for dealing with moral challenges concerning (breaching) confidentiality in moral case deliberation
Authors: Ligtenberg Wieke , Stolper Margreet , Molewijk Bert 
Published: May 2024

Abstract
Background
Confidentiality is one of the central preconditions for clinical ethics support (CES). CES cases which generate moral questions for CES staff concerning (breaching) confidentiality of what has been discussed during CES can cause moral challenges. Currently, there seems to be no clear policy or guidance regarding how CES staff can or should deal with these moral challenges related to (not) breaching confidentiality within CES. Moral case deliberation is a specific kind of CES.

Method
Based on experiences and research into MCD facilitators’ needs for ethics support in this regard, we jointly developed an ethics support tool for MCD facilitators: the Confidentiality Compass. This paper describes the iterative developmental process, including our theoretical viewpoints and reflections on characteristics of CES tools in general.

Results
The content and goals of the ethics support tool, which contains four elements, is described. Part A is about providing information on the concept of confidentiality in MCD, part B is a moral compass with reflective questions, part C focuses on courses of action for careful handling of moral challenges related to confidentiality. Part D contains general lessons, best practices and tips for dealing with confidentiality in future cases.

Conclusions
This paper concludes with providing some lessons-learned related to developing ethics support tools and some reflections on issues of quality and normativity of ethics support tools.
Continuous patient state attention model for addressing irregularity in electronic health records
Authors: Chauhan Vinod Kumar , Thakur Anshul , O’Donoghue Odhran , Rohanian Omid , Molaei Soheila , Clifton David A. 
Published: May 2024

Abstract
Background
Irregular time series (ITS) are common in healthcare as patient data is recorded in an electronic health record (EHR) system as per clinical guidelines/requirements but not for research and depends on a patient’s health status. Due to irregularity, it is challenging to develop machine learning techniques to uncover vast intelligence hidden in EHR big data, without losing performance on downstream patient outcome prediction tasks.

Methods
In this paper, we propose Perceiver, a cross-attention-based transformer variant that is computationally efficient and can handle long sequences of time series in healthcare. We further develop continuous patient state attention models, using Perceiver and transformer to deal with ITS in EHR. The continuous patient state models utilise neural ordinary differential equations to learn patient health dynamics, i.e., patient health trajectory from observed irregular time steps, which enables them to sample patient state at any time.

Results
The proposed models’ performance on in-hospital mortality prediction task on PhysioNet-2012 challenge and MIMIC-III datasets is examined. Perceiver model either outperforms or performs at par with baselines, and reduces computations by about nine times when compared to the transformer model, with no significant loss of performance. Experiments to examine irregularity in healthcare reveal that continuous patient state models outperform baselines. Moreover, the predictive uncertainty of the model is used to refer extremely uncertain cases to clinicians, which enhances the model’s performance. Code is publicly available and verified at https://codeocean.com/capsule/4587224.

Conclusions
Perceiver presents a computationally efficient potential alternative for processing long sequences of time series in healthcare, and the continuous patient state attention models outperform the traditional and advanced techniques to handle irregularity in the time series. Moreover, the predictive uncertainty of the model helps in the development of transparent and trustworthy systems, which can be utilised as per the availability of clinicians.
Effectiveness of a family empowerment program on caregiving capacity and adverse mood in caregivers of children with acute leukemia: a quasi-experimental study
Authors: Guo Fang , Li Liangjian , Jiang Hao , Yu Jie , Wang Yueqi 
Published: May 2024

Abstract
Background
Family-centered empowerment programs have been widely used in the pediatric field. Therefore, the current study investigated the effectiveness of family empowerment programs on caregiving ability and adverse mood among caregivers of children with acute leukemia.

Objective
To evaluate the effect of a family empowerment program on the caregiving ability and adverse mood of caregivers of children with acute leukemia.

Methods
Sixty-eight children with acute leukemia and their family caregivers admitted to our hospital were selected for the study. The control group received routine care during hospitalization, and the family empowerment program was implemented in the intervention group to compare the changes in caregiving capacity (FCTI), illness uncertainty (PPUS) and anxiety(SAS)of the caregivers of the two groups.

Results
After 8 weeks of intervention, the FCTI score of the intervention group was significantly lower than that of the control group (P < 0.001), and the difference between the scores before and after the intervention was statistically significant (P < 0.001); the PPUS score of the intervention group was significantly lower than that of the control group (P < 0.05), and the difference between the scores before and after the intervention was statistically significant (P < 0.001); the SAS score of the intervention group was lower than that of the control group after intervention(P < 0.05), and the score difference before and after intervention was statistically significant (P < 0.001).

Conclusion
Family empowerment program is beneficial in improving caregiving capacity and reducing disease uncertainty and anxiety among caregivers of children with acute leukemia.

Trial registration
Chinese Clinical Trial Registry ChiCTR2300073476 2023-07-12 Retrospectively registered.
Developing a typology of interventions to support doctors’ mental health and wellbeing
Authors: Pearson Alison , Carrieri Daniele , Melvin Anna , Bramwell Charlotte , Scott Jessica , Hancock Jason , Papoutsi Chrysanthi , Pearson Mark , Wong Geoff , Mattick Karen 
Published: May 2024

Abstract
Background
The problem of mental ill-health in doctors is complex, accentuated by the COVID-19 pandemic, and impacts on healthcare provision and broader organisational performance. There are many interventions to address the problem but currently no systematic way to categorise them, which makes it hard to describe and compare interventions. As a result, implementation tends to be unfocussed and fall short of the standards developed for implementing complex healthcare interventions. This study aims to develop: 1) a conceptual typology of workplace mental health and wellbeing interventions and 2) a mapping tool to apply the typology within research and practice.

Methods
Typology development was based on iterative cycles of analysis of published and in-practice interventions, incorporation of relevant theories and frameworks, and team and stakeholder group discussions.

Results
The newly developed typology and mapping tool enable interventions to be conceptualised and/or mapped into different categories, for example whether they are designed to be largely preventative (by either improving the workplace or increasing personal resources) or to resolve problems after they have arisen. Interventions may be mapped across more than one category to reflect the nuance and complexity in many mental health and wellbeing interventions. Mapping of interventions indicated that most publications have not clarified their underlying assumptions about what causes outcomes or the theoretical basis for the intervention.

Conclusion
The conceptual typology and mapping tool aims to raise the quality of future research and promote clear thinking about the nature and purpose of interventions, In doing so it aims to support future research and practice in planning interventions to improve the mental health and wellbeing of doctors.
A survey on the implementation of clinical medication reviews in community pharmacies within a multidisciplinary setting
Authors: Hogervorst S. , Adriaanse M.C. , Vervloet M. , Teichert M. , Beckeringh J.J. , van Dijk L. , Hugtenburg J.G. 
Published: May 2024

Abstract
Background
Polypharmacy is common in chronic medication users, which increases the risk of drug related problems. A suitable intervention is the clinical medication review (CMR) that was introduced in the Netherlands in 2012, but the effectiveness might be hindered by limited implementation in community pharmacies. Therefore our aim was to describe the current implementation of CMRs in Dutch community pharmacies and to identify barriers to the implementation.

Methods
An online questionnaire was developed based on the Consolidated Framework for Implementation Research (CFIR) and consisted of 58 questions with open ended, multiple choice or Likert-scale answering options. It was sent out to all Dutch community pharmacies (n = 1,953) in January 2021. Descriptive statistics were used.

Results
A total of 289 (14.8%) community pharmacies filled out the questionnaire. Most of the pharmacists agreed that a CMR has a positive effect on the quality of pharmacotherapy (91.3%) and on medication adherence (64.3%). Pharmacists structured CMRs according to available selection criteria or guidelines (92%). Pharmacists (90%) believed that jointly conducting a CMR with a general practitioner (GP) improved their mutual relationship, whereas 21% believed it improved the relationship with a medical specialist. Lack of time was reported by 43% of pharmacists and 80% (fully) agreed conducting CMRs with a medical specialist was complicated. Most pharmacists indicated that pharmacy technicians can assist in performing CMRs, but they rarely do in practice.

Conclusions
Lack of time and suboptimal collaboration with medical specialists are the most important barriers to the implementation of CMRs.
Swd2/Cps35 determines H3K4 tri-methylation via interactions with Set1 and Rad6
Authors: Oh Junsoo , Park Shinae , Kim Jueun , Yeom Soojin , Lee Ji Min , Lee Eun-Jin , Cho Yong-Joon , Lee Jung-Shin 
Published: May 2024

Abstract
Background
Histone H3K4 tri-methylation (H3K4me3) catalyzed by Set1/COMPASS, is a prominent epigenetic mark found in promoter-proximal regions of actively transcribed genes. H3K4me3 relies on prior monoubiquitination at the histone H2B (H2Bub) by Rad6 and Bre1. Swd2/Cps35, a Set1/COMPASS component, has been proposed as a key player in facilitating H2Bub-dependent H3K4me3. However, a more comprehensive investigation regarding the relationship among Rad6, Swd2, and Set1 is required to further understand the mechanisms and functions of the H3K4 methylation.

Results
We investigated the genome-wide occupancy patterns of Rad6, Swd2, and Set1 under various genetic conditions, aiming to clarify the roles of Set1 and Rad6 for occupancy of Swd2. Swd2 peaks appear on both the 5ʹ region and 3ʹ region of genes, which are overlapped with its tightly bound two complexes, Set1 and cleavage and polyadenylation factor (CPF), respectively. In the absence of Rad6/H2Bub, Set1 predominantly localized to the 5ʹ region of genes, while Swd2 lost all the chromatin binding. However, in the absence of Set1, Swd2 occupancy near the 5ʹ region was impaired and rather increased in the 3ʹ region.

Conclusions
This study highlights that the catalytic activity of Rad6 is essential for all the ways of Swd2’s binding to the transcribed genes and Set1 redistributes the Swd2 to the 5ʹ region for accomplishments of H3K4me3 in the genome-wide level.
Development of novel Streptococcus equi vaccines with an assessment of their immunizing potentials and protective efficacies
Authors: Soliman Rafik , Yousef Mohamed , gelil Sara Abdel , Aboul-Ella Hassan 
Published: May 2024

AbstractStrangles is a highly contagious disease of the equine upper respiratory tract caused by Streptococcus equi subspecies. Streptococcus equi subsp. equi (S. equi) and Streptococcus equi subsp. zooepidemicus (S. zooepidemicus) was isolated, as local, hot, and field strains, from horses clinically suffering from respiratory distress. The isolated Streptococci were identified using bacteriological and molecular techniques. Four formulations of inactivated S. equi vaccines were developed and evaluated. The first formulation was prepared using the S. equi isolates, adjuvanted with MONTANIDE GEL adjuvant, while the second formulation was adjuvanted with MONTANIDE ISA-70 adjuvant. The other 2 formulations were inactivated combined vaccines prepared from both S. equi and S. zooepidemicus isolates. The 3rd formulation was the combined isolates adjuvanted with MONTANIDE GEL while the 4th formulation was the combined isolates adjuvanted with MONTANIDE ISA-70. The developed vaccines’ physical properties, purity, sterility, safety, and potency were ensured. The immunizing efficacy was determined in isogenic BALB/c mice and white New Zealand rabbits using the passive hemagglutination test. Also, the antibodies’ titer of the combined S. equi and S. zooepidemicus vaccine adjuvanted with MONTANIDE ISA-70 in foals was tracked using an indirect enzyme-linked immunosorbent assay. The protective efficacy of the developed vaccines was determined using a challenge test in both laboratory and field animal models, where a 75% protection rate was achieved. The combined vaccine proved to be more efficacious than the monovalent vaccine. Also, the MONTANIDE ISA-70 adjuvant provided significant protective efficacy than the MONTANIDE GEL. The current work is introducing a very promising mitigative and strategic controlling solution for strangles.
Analyzing the expression and clinical significance of CENPE in gastric cancer
Authors: Wang Jing , Li Xiaofei , Qiang Xihui , Yin Xueqing , Guo Lianyi 
Published: May 2024

Abstract
Background
Gastric cancer (GC) is a prevalent type of malignant gastrointestinal tumor. Many studies have shown that CENPE acts as an oncogene in some cancers. However, its expression level and clinical value in GC are not clear.

Methods
Obtaining clinical data information on gastric adenocarcinoma from TCGA and GEO databases. The gene expression profiling interaction analysis (GEPIA) was used to evaluate the relationship between prognosis and CENPE expression in gastric cancer patients. Utilizing the UALCAN platform, the correlation between CENPE expression and clinical parameters was examined. Functions and signaling pathways of CENPE were analyzed using the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). The association between immunological infiltrating cells and CENPE expression was examined using TIMER2.0. Validation was performed by real-time quantitative PCR (qPT-PCR) and immunohistochemical analysis.

Results
According to the analysis of the GEPIA database, the expression of CENPE is increased in gastric cancer tissues compared to normal tissues. It was also found to have an important relationship with the prognosis of the patient (p<0.05). The prognosis was worse and overall survival was lower in individuals with increased expression of CENPE. In line with the findings of the GEPIA, real-time fluorescence quantitative PCR (qPT-PCR) confirmed that CENPE was overexpressed in gastric cancer cells. Furthermore, It was discovered that H. pylori infection status and tumor grade were related to CENPE expression. Enrichment analysis revealed that CENPE expression was linked to multiple biological functions and tumor-associated pathways. CENPE expression also correlated with immune-infiltrating cells in the gastric cancer microenvironment and was positively connected to NK cells and mast cells. According to immunohistochemical examination, paracancerous tissues had minimal expression of CENPE, but gastric cancer showed significant expression of the protein.

Conclusions
According to our findings, CENPE is substantially expressed in GC and may perhaps contribute to its growth. CENPE might be a target for gastric cancer therapy and a predictor of a bad prognosis.
Charting the cellular landscape of pulmonary arterial hypertension through single-cell omics
Authors: Tang Brian , Vadgama Arjun , Redmann Bryce , Hong Jason 
Published: May 2024

AbstractThis review examines how single-cell omics technologies, particularly single-cell RNA sequencing (scRNAseq), enhance our understanding of pulmonary arterial hypertension (PAH). PAH is a multifaceted disorder marked by pulmonary vascular remodeling, leading to high morbidity and mortality. The cellular pathobiology of this heterogeneous disease, involving various vascular and non-vascular cell types, is not fully understood. Traditional PAH studies have struggled to resolve the complexity of pathogenic cell populations. scRNAseq offers a refined perspective by detailing cellular diversity within PAH, identifying unique cell subsets, gene networks, and molecular pathways that drive the disease. We discuss significant findings from recent literature, summarizing how scRNAseq has shifted our understanding of PAH in human, rat, and mouse models. This review highlights the insights gained into cellular phenotypes, gene expression patterns, and novel molecular targets, and contemplates the challenges and prospective paths for research. We propose ways in which single-cell omics could inform future research and translational efforts to combat PAH.
Ion channel Piezo1 activation aggravates the endothelial dysfunction under a high glucose environment
Authors: Zhang Xiaoyu , Leng Shaoqiu , Liu Xinyue , Hu Xiang , Liu Yan , Li Xin , Feng Qi , Guo Wei , Li Nailin , Sheng Zi , Wang Shuwen , Peng Jun 
Published: May 2024

Abstract
Background
Vasculopathy is the most common complication of diabetes. Endothelial cells located in the innermost layer of blood vessels are constantly affected by blood flow or vascular components; thus, their mechanosensitivity plays an important role in mediating vascular regulation. Endothelial damage, one of the main causes of hyperglycemic vascular complications, has been extensively studied. However, the role of mechanosensitive signaling in hyperglycemic endothelial damage remains unclear.

Methods
Vascular endothelial-specific Piezo1 knockout mice were generated to investigate the effects of Piezo1 on Streptozotocin-induced hyperglycemia and vascular endothelial injury. In vitro activation or knockdown of Piezo1 was performed to evaluate the effects on the proliferation, migration, and tubular function of human umbilical vein endothelial cells in high glucose. Reactive oxygen species production, mitochondrial membrane potential alternations, and oxidative stress-related products were used to assess the extent of oxidative stress damage caused by Piezo1 activation.

Results
Our study found that in VECreERT2;Piezo1flox/flox mice with Piezo1 conditional knockout in vascular endothelial cells, Piezo1 deficiency alleviated streptozotocin-induced hyperglycemia with reduced apoptosis and abscission of thoracic aortic endothelial cells, and decreased the inflammatory response of aortic tissue caused by high glucose. Moreover, the knockout of Piezo1 showed a thinner thoracic aortic wall, reduced tunica media damage, and increased endothelial nitric oxide synthase expression in transgenic mice, indicating the relief of endothelial damage caused by hyperglycemia. We also showed that Piezo1 activation aggravated oxidative stress injury and resulted in severe dysfunction through the Ca2+-induced CaMKII-Nrf2 axis in human umbilical vein endothelial cells. In Piezo1 conditional knockout mice, Piezo1 deficiency partially restored superoxide dismutase activity and reduced malondialdehyde content in the thoracic aorta. Mechanistically, Piezo1 deficiency decreased CaMKII phosphorylation and restored the expression of Nrf2 and its downstream molecules HO-1 and NQO1.

Conclusion
In summary, our study revealed that Piezo1 is involved in high glucose-induced oxidative stress injury and aggravated endothelial dysfunction, which have great significance for alleviating endothelial damage caused by hyperglycemia.
Statistical design and analysis of controlled human malaria infection trials
Authors: Tian Xiaowen , Janes Holly E. , Kublin James G. 
Published: May 2024

Abstract
Background
Malaria is a potentially life-threatening disease caused by Plasmodium protozoa transmitted by infected Anopheles mosquitoes. Controlled human malaria infection (CHMI) trials are used to assess the efficacy of interventions for malaria elimination. The operating characteristics of statistical methods for assessing the ability of interventions to protect individuals from malaria is uncertain in small CHMI studies. This paper presents simulation studies comparing the performance of a variety of statistical methods for assessing efficacy of intervention in CHMI trials.

Methods
Two types of CHMI designs were investigated: the commonly used single high-dose design (SHD) and the repeated low-dose design (RLD), motivated by simian immunodeficiency virus (SIV) challenge studies. In the context of SHD, the primary efficacy endpoint is typically time to infection. Using a continuous time survival model, five statistical tests for assessing the extent to which an intervention confers partial or full protection under single dose CHMI designs were evaluated. For RLD, the primary efficacy endpoint is typically the binary infection status after a specific number of challenges. A discrete time survival model was used to study the characteristics of RLD versus SHD challenge studies.

Results
In a SHD study with the continuous time survival model, log-rank test and t-test are the most powerful and provide more interpretable results than Wilcoxon rank-sum tests and Lachenbruch tests, while the likelihood ratio test is uniformly most powerful but requires knowledge of the underlying probability model. In the discrete time survival model setting, SHDs are more powerful for assessing the efficacy of an intervention to prevent infection than RLDs. However, additional information can be inferred from RLD challenge designs, particularly using a likelihood ratio test.

Conclusions
Different statistical methods can be used to analyze controlled human malaria infection (CHMI) experiments, and the choice of method depends on the specific characteristics of the experiment, such as the sample size allocation between the control and intervention groups, and the nature of the intervention. The simulation results provide guidance for the trade off in statistical power when choosing between different statistical methods and study designs.