bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epstein-Barr virus-positive inflammatory follicular dendritic cell sarcoma with significant granuloma: case report and literature review
Authors: Nie Chenchen , Xie Xun , Li Hangyan , Li Yangcan , Chen Zhihong , Li Yanchun , Li Zhenfeng 
Published: February 2024

Abstract
Background
Epstein-Barr virus-positive inflammatory follicular dendritic cell sarcoma (EBV+IFDCS) is a rare disease characterized by mild clinical symptoms and non-specific imaging findings. The diagnosis of the disease depends on pathological diagnosis. However, EBV+IFDCS has a very broad spectrum of histological morphology and immune phenotypes, and its histopathological features have not been fully described by pathologists.

Case presentation
A 59-year-old female, with no significant discomfort, was found to have a splenic mass during a routine physical examination. Microscopic examination at low magnification revealed numerous epithelioid granulomas, amidst which a substantial inflammatory response was observed. Interspersed among the dense inflammatory cells were spindle or oval-shaped cells, distributed sporadically with indistinct boundaries. Under high magnification, these spindle cells had subtle features: smooth and clear nuclear membranes, inconspicuous small nucleoli, and infrequent mitotic figures. Immunophenotypically, the spindle cells expressed CD21 and CD23, and Epstein-Barr encoding region (EBER) in situ hybridization yielded positive results. The inflammatory milieu predominantly consisted of T cells, with a minority of plasma cells expressing IgG4. The confluence of morphological and immunohistochemical findings led to the final pathological diagnosis of EBV+IFDCS in this case.

Conclusions
The presentation of EBV+IFDCS with pronounced granulomatous changes is rare. This morphological variant poses a high risk of misdiagnosis, frequently leading to confusion with other granulomatous diseases. Accurate diagnosis necessitates a comprehensive analysis, integrating immunohistochemistry and in situ hybridization. The case presented here is instrumental in raising awareness and understanding of EBV+IFDCS, with the goal of reducing misdiagnoses and unrecognized cases.
Implementation of state health insurance benefit mandates for cancer-related fertility preservation: following policy through a complex system
Authors: Su H. Irene , Kaiser Bonnie N. , Crable Erika L. , Ortega Ricardo Flores , Yoeun Sara W. , Economou Melina A. , Fernandez Estefania , Romero Sally A. D. , Aarons Gregory A. , McMenamin Sara B. 
Published: February 2024

Abstract
Background
A myriad of federal, state, and organizational policies are designed to improve access to evidence-based healthcare, but the impact of these policies likely varies due to contextual determinants of, reinterpretations of, and poor compliance with policy requirements throughout implementation. Strategies enhancing implementation and compliance with policy intent can improve population health. Critically assessing the multi-level environments where health policies and their related health services are implemented is essential to designing effective policy-level implementation strategies. California passed a 2019 health insurance benefit mandate requiring coverage of fertility preservation services for individuals at risk of infertility due to medical treatments, in order to improve access to services that are otherwise cost prohibitive. Our objective was to document and understand the multi-level environment, relationships, and activities involved in using state benefit mandates to facilitate patient access to fertility preservation services.

Methods
We conducted a mixed-methods study and used the policy-optimized exploration, preparation, implementation, and sustainment (EPIS) framework to analyze the implementation of California’s fertility preservation benefit mandate (SB 600) at and between the state insurance regulator, insurer, and clinic levels.

Results
Seventeen publicly available fertility preservation benefit mandate-relevant documents were reviewed. Interviews were conducted with four insurers; 25 financial, administrative, and provider participants from 16 oncology and fertility clinics; three fertility pharmaceutical representatives; and two patient advocates. The mandate and insurance regulator guidance represented two “Big P” (system level) policies that gave rise to a host of “little p” (organizational) policies by and between the regulator, insurers, clinics, and patients. Many little p policies were bridging factors to support implementation across levels and fertility preservation service access. Characterizing the mandate’s functions (i.e., policy goals) and forms (i.e., ways that policies were enacted) led to identification of (1) intended and unintended implementation, service, and patient outcomes, (2) implementation processes by level and EPIS phase, (3) actor-delineated key processes and heterogeneity among them, and (4) inner and outer context determinants that drove adaptations.

Conclusions
Following the midstream and downstream implementation of a state health insurance benefit mandate, data generated will enable development of policy-level implementation strategies, evaluation of determinants and important outcomes of effective implementation, and design of future mandates to improve fit and fidelity.
PLK4 as a potential target to enhance radiosensitivity in triple-negative breast cancer
Authors: Pellizzari Sierra , Bhat Vasudeva , Athwal Harjot , Cescon David W. , Allan Alison L. , Parsyan Armen 
Published: February 2024

AbstractRadioresistance is one of the barriers to developing more effective therapies against the most aggressive, triple-negative, breast cancer (TNBC) subtype. In our previous studies, we showed that inhibition of Polo-like Kinase 4 (PLK4) by a novel drug, CFI-400945 significantly enhances the anticancer effects of radiotherapy (RT) compared to single treatment alone. Here we further investigate the role of PLK4 in enhancing radiation effects in TNBC and explore mechanisms of PLK4 inhibition and radiation combinatorial antiproliferative effects. To assess cellular proliferation in response to treatments, we used colony formation assays in TNBC cell lines and patient-derived organoids (PDOs). Downregulation of PLK4 expression was achieved using siRNA silencing in TNBC cell lines. Immunofluorescence against centrin was used to assess the alteration of centriole amplification in response to treatments. We observed that inhibition of PLK4 by CFI-400945 or Centrinone B or its downregulation by siRNA, when combined with RT, resulted in a significant increase in antiproliferative effect in TNBC cells lines and PDOs compared to untreated or single-treated cells. Anticancer synergy was observed using a response matrix in PDOs treated with CFI-400945 and RT. We show that the overamplification of centrioles might be involved in the combined antiproliferative action of RT and PLK4 inhibition. Our data suggest that PLK4 is a promising target for enhancing the anticancer effects of RT in TNBC that, at least in part, is modulated by the overamplification of centrioles. These results support further mechanistic and translational studies of anti-PLK4 agents and RT as an anticancer combination treatment strategy.
Impact of model-informed precision dosing in adults receiving vancomycin via continuous infusion: a randomized, controlled clinical trial
Authors: Van Wynsberge Glenn , Grootaert Veerle , Buyle Franky , Van Praet Jens , Colman Roos , Moors Ine , Somers Annemie , Veld Diana Huis in ‘t , De Cock Pieter ,   on behalf of the VANC-DOS Consortium, Bigler Kim , Capiau Andreas , Claus Barbara , Degroote Laure , De Keulenaer Julie , Deryckere Sabine , Deschepper Lotte , De Smet Sanne , De Smet Veronique , Heus Astrid , Huys Liesbeth , Langui Jolien , Lodewyck Tom , Mertens Sarah , Neyt Jeroen , Schauwvlieghe Alexander , Snauwaert Sylvia , Van Butsele Katleen , Vandecasteele Stefaan , Van Laethem Kevin , Vermis Karen , Verstraete Barbara 
Published: February 2024

Abstract
Background
Vancomycin is a commonly prescribed antibiotic to treat gram-positive infections. The efficacy of vancomycin is known to be directly related to the pharmacokinetic/pharmacodynamic (PK/PD) index of the area under the concentration-time curve (AUC) divided by the minimal inhibitory concentration (MIC) of the pathogen. However, in most countries, steady-state plasma concentrations are used as a surrogate parameter of target AUC/MIC, but this practice has some drawbacks. Hence, direct AUC-guided monitoring of vancomycin using model-informed precision dosing (MIPD) tools has been proposed for earlier attainment of target concentrations and reducing vancomycin-related nephrotoxicity. However, solid scientific evidence for these benefits in clinical practice is still lacking. This randomized controlled trial (RCT) aims to investigate the clinical utility of MIPD dosing of vancomycin administered via continuous infusion in hospitalized adults.

Methods
Participants from 11 wards at two Belgian hospitals are randomly allocated to the intervention group or the standard-of-care comparator group. In the intervention group, clinical pharmacists perform dose calculations using CE-labeled MIPD software and target an AUC24h of 400 to 600 mg × h/L, whereas patients in the comparator group receive standard-of-care dosing and monitoring according to the institutional guidelines. The primary endpoint is the proportion of patients reaching the target AUC24h/MIC of 400–600 between 48 and 72 h after start of vancomycin treatment. Secondary endpoints are the proportion of patients with (worsening) acute kidney injury (AKI) during and until 48 h after stop of vancomycin treatment, the proportion of patients reaching target AUC24h/MIC of 400–600 between 72 and 96 h after start of vancomycin treatment, and the proportion of time within the target AUC24h/MIC of 400–600.

Discussion
This trial will clarify the propagated benefits and provide new insights into how to optimally monitor vancomycin treatment.

Trial registration
EudraCT number: 2021-003670-31. Registered June 28, 2021. ClinicalTrials.gov identifier: NCT05535075. Registered September 10, 2022. Protocol version 3, protocol date: April 21, 2023.
High-resolution mapping of age- and gender-specific risk of Clonorchis sinensis infection risk in Guangdong, China: a geostatistical modeling study
Authors: Huang Si-Yue , Chen Jing-Diao , Zeng Qing-Sheng , Lai Ying-Si 
Published: February 2024

Abstract
Background
The latest national survey on the distribution of human parasites in China demonstrated that Guangdong was among the endemic provinces with the highest Clonorchis sinensis infection rates. High-resolution, age- and gender-specific risk maps of the temporal and spatial distributions are essential for the targeted control work.

Methods
Disease data on the prevalence of C.sinensis infection from 1990 onwards, either age- and gender-specific or aggregated across age and gender, were collected through systematic review and four large-scale surveys in Guangdong Province. Environmental and socioeconomic variables were obtained from open-access databases and employed as potential predictors. A Bayesian geostatistical model was developed to estimate the C.sinensis infection risk at high spatial resolution.

Results
The final dataset included 606 surveys at 463 unique locations for C.sinensis infection. Our findings suggested that following an initial increase and stabilization, the overall population-adjusted prevalence had declined to 2.2% (95% Bayesian credible interval: 1.7–3.0%) in the period of 2015 onwards. From 2015 onwards, moderate and high infection risks were found in the northern regions (e.g. Heyuan and Shaoguan cities) and the southern Pearl River Delta (e.g. Foshan, Zhongshan, Zhuhai and Jiangmen cities), respectively. Age- and gender-specific risk maps revealed that males had a higher infection risk than females, and the infection risk was higher in adults compared to children.

Conclusions
Our high-resolution risk maps of C. sinensis infection in Guangdong Province identified the spatial, temporal, age and gender heterogeneities, which can provide useful information assisting tailored control strategies.

Graphical Abstract
Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data
Authors: Doran Simon J. , Barfoot Theo , Wedlake Linda , Winfield Jessica M. , Petts James , Glocker Ben , Li Xingfeng , Leach Martin , Kaiser Martin , Barwick Tara D. , Chaidos Aristeidis , Satchwell Laura , Soneji Neil , Elgendy Khalil , Sheeka Alexander , Wallitt Kathryn , Koh Dow-Mu , Messiou Christina , Rockall Andrea 
Published: February 2024

Abstract
Objectives
MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining “real-world” and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year window at two institutions, leading to a need for extensive curation.

Methods
Curation involved image aggregation, pseudonymisation, allocation between project phases, data cleaning, upload to an XNAT repository visible from multiple sites, annotation, incorporation of machine learning research outputs and quality assurance using programmatic methods.

Results
A total of 796 whole-body MR imaging sessions from 462 subjects were curated. A major change in scan protocol part way through the retrospective window meant that approximately 30% of available imaging sessions had properties that differed significantly from the remainder of the data. Issues were found with a vendor-supplied clinical algorithm for “composing” whole-body images from multiple imaging stations. Historic weaknesses in a digital video disk (DVD) research archive (already addressed by the mid-2010s) were highlighted by incomplete datasets, some of which could not be completely recovered. The final dataset contained 736 imaging sessions for 432 subjects. Software was written to clean and harmonise data. Implications for the subsequent machine learning activity are considered.

Conclusions
MALIMAR exemplifies the vital role that curation plays in machine learning studies that use real-world data. A research repository such as XNAT facilitates day-to-day management, ensures robustness and consistency and enhances the value of the final dataset. The types of process described here will be vital for future large-scale multi-institutional and multi-national imaging projects.

Critical relevance statement
This article showcases innovative data curation methods using a state-of-the-art image repository platform; such tools will be vital for managing the large multi-institutional datasets required to train and validate generalisable ML algorithms and future foundation models in medical imaging.

Key points
• Heterogeneous data in the MALIMAR study required the development of novel curation strategies.
• Correction of multiple problems affecting the real-world data was successful, but implications for machine learning are still being evaluated.
• Modern image repositories have rich application programming interfaces enabling data enrichment and programmatic QA, making them much more than simple “image marts”.

Graphical Abstract
Dramatic response of synovitis, acne, pustulosis, hyperostosis, and osteitis syndrome to tofacitinib monotherapy: a case report
Authors: Dierckx Stéphanie , Nisolle Jean-François , Boutsen Yves 
Published: February 2024

Abstract
Introduction
The synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome is a rare condition. Its treatment remains a challenge for clinicians, and often yields mixed results.

Case
We report the case of a 51-year-old Caucasian woman who presented with SAPHO syndrome with mainly axial involvement. She had been treated with sulfasalazine and anti-inflammatory drugs for many years without any success. A few weeks after starting treatment with tofacitinib, both clinical and biological parameters dramatically improved. Imaging also showed considerable regression of the vertebral and pelvic lesions. However, tofacitinib had to be discontinued due to the occurrence of pulmonary embolism. Consequently, recurrence of bone pain and biologic inflammation was rapidly observed.

Conclusions
Anti-JAKs are an interesting treatment option in the management of SAPHO syndrome that need further clinical trials and assessment for validating response.
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks
Authors: Gupta Vishu , Li Youjia , Peltekian Alec , Kilic Muhammed Nur Talha , Liao Wei-keng , Choudhary Alok , Agrawal Ankit 
Published: February 2024

AbstractModern data mining techniques using machine learning (ML) and deep learning (DL) algorithms have been shown to excel in the regression-based task of materials property prediction using various materials representations. In an attempt to improve the predictive performance of the deep neural network model, researchers have tried to add more layers as well as develop new architectural components to create sophisticated and deep neural network models that can aid in the training process and improve the predictive ability of the final model. However, usually, these modifications require a lot of computational resources, thereby further increasing the already large model training time, which is often not feasible, thereby limiting usage for most researchers. In this paper, we study and propose a deep neural network framework for regression-based problems comprising of fully connected layers that can work with any numerical vector-based materials representations as model input. We present a novel deep regression neural network, iBRNet, with branched skip connections and multiple schedulers, which can reduce the number of parameters used to construct the model, improve the accuracy, and decrease the training time of the predictive model. We perform the model training using composition-based numerical vectors representing the elemental fractions of the respective materials and compare their performance against other traditional ML and several known DL architectures. Using multiple datasets with varying data sizes for training and testing, We show that the proposed iBRNet models outperform the state-of-the-art ML and DL models for all data sizes. We also show that the branched structure and usage of multiple schedulers lead to fewer parameters and faster model training time with better convergence than other neural networks. Scientific contribution: The combination of multiple callback functions in deep neural networks minimizes training time and maximizes accuracy in a controlled computational environment with parametric constraints for the task of materials property prediction.
Cost-utility and cost-effectiveness analysis of disease-modifying drugs of relapsing–remitting multiple sclerosis: a systematic review
Authors: Gallehzan Nasrin Abulhasanbeigi , Khosravi Majid , Jamebozorgi Khosro , Mir Nazanin , Jalilian Habib , Soleimanpour Samira , Hoseini Saeed , Rezapour Aziz , Eshraghi Abbas 
Published: February 2024

Abstract
Background
Multiple sclerosis (MS) is a chronic, autoimmune, and inflammatory disease. The economic burden of MS is substantial, and the high cost of Disease-modifying drugs (DMDs) prices are the main drivers of healthcare expenditures. We conducted a systematic review of studies evaluating the cost-utility and cost-effectiveness of DMDs for relapsing–remitting multiple sclerosis (RRMS).

Materials and method
Searches were conducted in PubMed, Web of Science, Scopus, and Embase. The search covered articles published between May 2001 and May 2023. Studies that were written in English and Persian and examined the cost-utility and cost-effectiveness of DMDs in patients with MS were included in our review. Data extraction was guided by the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist, and the quality of economic evaluations was assessed using the Quality of Health Economics Studies Instrument (QHES). All costs were converted to 2020 U.S. dollars using Purchasing Power Parity (PPP).

Results
The search yielded 1589 studies, and 49 studies were eligible for inclusion. The studies were mainly based on a European setting. Most studies employed Markov model to assess the cost–effectiveness. The lowest and highest numerical value of outcome measures were -1,623,918 and 2,297,141.53, respectively. Furthermore, the lowest and highest numerical value of the cost of DMDs of RRMS were $180.67, and $1474840.19, respectively.

Conclusions
Based on the results of all studies, it can be concluded that for the treatment of patients with MS, care-oriented strategies should be preferred to drug strategies. Also, among the drug strategies with different prescribing methods, oral disease-modifying drugs of RRMS should be preferred to injectable drugs and intravenous infusions.
Cultural threads in writing mastery: a structural analysis of perfectionism, learning self-efficacy, and motivation as mediated by self-reflection in Chinese EFL learners
Authors: Tao Ye , Yu Jianbin 
Published: February 2024

Abstract
Background
The study explores language acquisition in Chinese English as a Foreign Language (EFL) education, where English proficiency is crucial for global opportunities. As China gains prominence, the demand for English skills rises beyond communication to include academic and business success. The Chinese education system emphasizes proficient English writing for further education and professional achievement. This research investigates the complex linguistic context for EFL learners in China, analyzing the intersection of psychological factors, cultural nuances, varied pedagogy, and individual experiences.

Methods
Structural Equation Modeling (SEM) is utilized for analysis, enabling the creation of a metric set to explore intangibles such as perfectionism, learning self-efficacy, motivation, study habits, cultural influences, and introspection. The research utilizes a diverse sample from multiple universities across different regions of China, incorporating demographic factors to encompass the varied characteristics within the EFL learner community.

Results
Results reveal that perfectionism (β = 0.30, p < 0.001), learning self-efficacy (β = 0.25, p = 0.005), motivation (β = 0.35, p < 0.001), study habits (β = 0.20, p = 0.01), and self-reflection (β = 0.28, p < 0.001) significantly predict writing proficiency. Cultural effects (Beta = 0.15, p = 0.05) show a statistically significant, albeit minimal, impact. Mediation-moderation analysis underscores perfectionism as a mediator (Beta = 0.25, p = 0.005), emphasizing its influence on other predictors. Cultural factors act as moderators (Beta = 0.15, p = 0.01), shaping the link between predictors and writing skills. The combined mediation and moderation effects on writing proficiency are positively significant (Beta = 0.20, p = 0.02).

Conclusions
This study makes a significant theoretical contribution, enhancing existing models and providing practical insights for EFL educators and policymakers. Emphasizing the intricate relationship between psychological factors and cultural dynamics underscores the necessity for a sophisticated, culturally sensitive approach to language acquisition in Chinese EFL instruction. Beyond language skills, the research recognizes the importance of fostering a conducive environment that encourages personal development, socio-cultural awareness, and a holistic learning approach.