bluuebunny/crossref_metadata_2025_split huggingface dataset:
The evaluation of risk factors for prolonged viral shedding during anti-SARS-CoV-2 monoclonal antibodies and long-term administration of antivirals in COVID-19 patients with B-cell lymphoma treated by anti-CD20 antibody
Authors: Maruyama Shuhei , Wada Daiki , Kanayama Shuji , Shimazu Haruka , Miyano Yumiko , Inoue Akira , Kashihara Masami , Okuda Kazuyuki , Saito Fukuki , Nakamori Yasushi , Ishii Kazuyoshi , Kuwagata Yasuyuki 
Published: July 2024

Abstract
Background
The global impact of the coronavirus disease 2019 (COVID-19) pandemic has resulted in significant morbidity and mortality. Immunocompromised patients, particularly those treated for B-cell lymphoma, have shown an increased risk of persistent infection with SARS-CoV-2 and severe outcomes and mortality. Multi-mutational SARS-CoV-2 variants can arise during the course of such persistent cases of COVID-19. No optimal, decisive strategy is currently available for patients with persistent infection that allows clinicians to sustain viral clearance, determine optimal timing to stop treatment, and prevent virus reactivation. We introduced a novel treatment combining antivirals, neutralizing antibodies, and genomic analysis with frequent monitoring of spike-specific antibody and viral load for immunocompromised patients with persistent COVID-19 infection. The aim of this retrospective study was to report and evaluate the efficacy of our novel treatment for immunocompromised B-cell lymphoma patients with persistent COVID-19 infection.

Methods
This retrospective descriptive analysis had no controls. Patients with B-cell lymphoma previously receiving immunotherapy including anti-CD20 antibodies, diagnosed as having COVID-19 infection, and treated in our hospital after January 2022 were included. We selected anti-SARS-CoV-2 monoclonal antibodies according to subvariants. Every 5 days, viral load was tested by RT-PCR, with antivirals continued until viral shedding was confirmed. Primary outcome was virus elimination. Independent predictors of prolonged viral shedding time were determined by multivariate Cox regression.

Results
Forty-four patients were included in this study. Thirty-five patients received rituximab, 19 obinutuzumab, and 26 bendamustine. Median treatment duration was 10 (IQR, 10–20) days; 22 patients received combination antiviral therapy. COVID-19 was severe in 16 patients, and critical in 2. All patients survived, with viral shedding confirmed at median 28 (IQR, 19–38) days. Bendamustine use or within 1 year of last treatment for B-cell lymphoma, and multiple treatment lines for B-cell lymphoma significantly prolonged time to viral shedding.

Conclusions
Among 44 consecutive patients treated, anti-SARS-CoV-2 monoclonal antibodies and long-term administration of antiviral drugs, switching, and combination therapy resulted in virus elimination and 100% survival. Bendamustine use, within 1 year of last treatment for B-cell lymphoma, and multiple treatment lines for B-cell lymphoma were the significant independent predictors of prolonged viral shedding time.
Radiograph-based rheumatoid arthritis diagnosis via convolutional neural network
Authors: Peng Yong , Huang Xianqian , Gan Minzhi , Zhang Keyue , Chen Yong 
Published: July 2024

Abstract
Objectives
Rheumatoid arthritis (RA) is a severe and common autoimmune disease. Conventional diagnostic methods are often subjective, error-prone, and repetitive works. There is an urgent need for a method to detect RA accurately. Therefore, this study aims to develop an automatic diagnostic system based on deep learning for recognizing and staging RA from radiographs to assist physicians in diagnosing RA quickly and accurately.

Methods
We develop a CNN-based fully automated RA diagnostic model, exploring five popular CNN architectures on two clinical applications. The model is trained on a radiograph dataset containing 240 hand radiographs, of which 39 are normal and 201 are RA with five stages. For evaluation, we use 104 hand radiographs, of which 13 are normal and 91 RA with five stages.

Results
The CNN model achieves good performance in RA diagnosis based on hand radiographs. For the RA recognition, all models achieve an AUC above 90% with a sensitivity over 98%. In particular, the AUC of the GoogLeNet-based model is 97.80%, and the sensitivity is 100.0%. For the RA staging, all models achieve over 77% AUC with a sensitivity over 80%. Specifically, the VGG16-based model achieves 83.36% AUC with 92.67% sensitivity.

Conclusion
The presented GoogLeNet-based model and VGG16-based model have the best AUC and sensitivity for RA recognition and staging, respectively. The experimental results demonstrate the feasibility and applicability of CNN in radiograph-based RA diagnosis. Therefore, this model has important clinical significance, especially for resource-limited areas and inexperienced physicians.
Pregnancy outcomes and risk factors analysis in patients with systemic lupus erythematous
Authors: Lu Jing , Xu Dan , Wan Qianqian , Chen Huijun 
Published: July 2024

Abstract
Background
The management of systemic lupus erythematosus (SLE) during pregnancy remains a challenge currently. Identifying early predictors of adverse pregnancy outcomes in SLE patients can help to develop treatment plan and improve prognosis. The aim of this study is to explore the clinical and laboratory variables in the early pregnancy that can predict adverse neonatal and maternal outcomes, thereby facilitating the grading management of SLE.

Methods
A retrospective analysis was conducted on 126 pregnant women with SLE who were admitted to Zhongnan Hospital of Wuhan University between January 2017 and December 2022. All enrolled patients were diagnosed (including newly diagnosed and previously diagnosed) during first trimester of pregnancy and their clinical records, laboratory results and pregnancy outcomes were reviewed. The association between the clinical and laboratory characteristics of patients at 12 gestational age and the adverse neonatal (ANOs) as well as maternal outcomes (AMOs) were analyzed.

Results
A total of 117 live births (92.8%) were recorded in the study. ANOs occurred in 59 (46.8%) cases, including fetal loss in 9 cases (7.1%), preterm birth in 40 cases (31.7%), small for gestational (SGA) in 15 cases (11.9%), and complete heart block in 2 cases (1.5%). Univariate analysis showed that disease activity index (P < 0.0001), lupus nephritis (P = 0.0195), anti-SSB positivity (P = 0.0074) and hypocomplementemia (P = 0.0466) were related to ANOs. However, multivariate analysis showed that only disease activity during early pregnancy was an independent predictor for ANOs (OR = 7.053, 95% CI: 1.882 to 26.291, P = 0.004). In addition, 48 patients experienced AMOs during subsequent trimester, including 24 (19.0%) patients with disease flare and 23 (18.3%) patients with pre-eclampsia. Unplanned pregnancy (P = 0.010), active disease (P = 0.0004), new onset SLE (P = 0.0044) and lupus nephritis (P = 0.0009) were associated with AMOs in univariate analysis, while disease activity was identified as an independent risk factor for AMOs (OR = 2.553, 95% CI: 1.012–6.440, P = 0.047).

Conclusion
Active disease in early pregnancy is associated with adverse pregnancy outcomes. For patients with high risk factor for ANOs and AMOs, more intensive treatment and follow-up should be a wise measure. Especially for those who suffer from active disease, they should be fully informed and given the option to terminate or continue their pregnancy.
Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept
Authors: Wu Dianhao , Jiang Jingang , Wang Jinke , Zhou Shan , Qian Kun 
Published: July 2024

Abstract
Background and aim
3D fusion model of cone-beam computed tomography (CBCT) and oral scanned data can be used for the accurate design of root canal access and guide plates in root canal therapy (RCT). However, the pose accuracy of the dental pulp and crown in data registration has not been investigated, which affects the precise implementation of clinical planning goals. We aimed to establish a novel registration method based on pulp horn mapping surface (PHMSR), to evaluate the accuracy of PHMSR versus traditional methods for crown-pulp registration of CBCT and oral scan data.

Materials and methods
This vitro study collected 8 groups of oral scanned and CBCT data in which the left mandibular teeth were not missing, No. 35 and No. 36 teeth were selected as the target teeth. The CBCT and scanned model were processed to generate equivalent point clouds. For the PHMSR method, the similarity between the feature directions of the pulp horn and the surface normal vectors of the crown were used to determine the mapping points in the CBCT point cloud that have a great influence on the pulp pose. The small surface with adjustable parameters is reconstructed near the mapping point of the crown, and the new matching point pairs between the point and the mapping surface are searched. The sparse iterative closest point (ICP) algorithm is used to solve the new matching point pairs. Then, in the C +  + programming environment with a point cloud library (PCL), the PHMSR, the traditional sparse ICP, ICP, and coherent point drift (CPD) algorithms are used to register the point clouds under two different initial deviations. The root square mean error (RSME) of the crown, crown-pulp orientation deviation (CPOD), and position deviation (CPPD) were calculated to evaluate the registration accuracy. The significance between the groups was tested by a two-tailed paired t-test (p < 0.05).

Results
The crown RSME values of the sparse ICP method (0.257), the ICP method (0.217), and the CPD method (0.209) were not significantly different from the PHMSR method (0.250). The CPOD and CPPD values of the sparse ICP method (4.089 and 0.133), the ICP method (1.787 and 0.700), and the CPD method (1.665 and 0.718) than for the PHMSR method, which suggests that the accuracy of crown-pulp registration is higher with the PHMSR method.

Conclusion
Compared with the traditional method, the PHMSR method has a smaller crown-pulp registration accuracy and a clinically acceptable deviation range, these results support the use of PHMSR method instead of the traditional method for clinical planning of root canal therapy.
Increased pathogenicity and pro-inflammatory capabilities of mucosal-associated invariant T cells involved in Oral Lichen Planus
Authors: Chen Siting , Wu Xiaoli , Yang Yinshen , Xu Xiaoheng , Xiong Xiaoqin , Meng Wenxia 
Published: July 2024

Abstract
Background
Mucosal-associated invariant T (MAIT) cells assume pivotal roles in numerous autoimmune inflammatory maladies. However, scant knowledge exists regarding their involvement in the pathological progression of oral lichen planus (OLP). The focus of our study was to explore whether MAIT cells were altered across distinct clinical types of OLP.

Methods
The frequency, phenotype, and partial functions of MAIT cells were performed by flow cytometry, using peripheral blood from 18 adults with non-erosive OLP and 22 adults with erosive OLP compared with 15 healthy adults. We also studied the changes in MAIT cells in 15 OLP patients receiving and 10 not receiving corticosteroids. Surface proteins including CD4, CD8, CD69, CD103, CD38, HLA-DR, Tim-3, Programmed Death Molecule-1 (PD-1), and related factors released by MAIT cells such as Granzyme B (GzB), interferon (IFN)-γ, tumour necrosis factor (TNF)-α, interleukin (IL)-17A, and IL-22 were detected.

Results
Within non-erosive OLP patients, MAIT cells manifested an activated phenotype, evident in an elevated frequency of CD69+ CD38+ MAIT cells (p < 0.01). Conversely, erosive OLP patients displayed an activation and depletion phenotype in MAIT cells, typified by elevated CD69 (p < 0.01), CD103 (p < 0.05), and PD-1 expression (p < 0.01). Additionally, MAIT cells exhibited heightened cytokine production, encompassing GzB, IFN-γ, and IL-17A in erosive OLP patients. Notably, the proportion of CD103+ MAIT cells (p < 0.05) and GzB secretion (p < 0.01) by MAIT cells diminished, while the proportion of CD8+ MAIT cells (p < 0.05) rose in OLP patients with corticosteroid therapy.

Conclusions
MAIT cells exhibit increased pathogenicity and pro-inflammatory capabilities in OLP. Corticosteroid therapy influences the expression of certain phenotypes and functions of MAIT cells in the peripheral blood of OLP patients.
Medicinal plants used in multiple sclerosis patients, prevalence and associated factors: a descriptive cross-sectional study
Authors: Nikvarz Naemeh , Sedighi Behnaz , Ansari Mehdi , Shahdizade Shirin , Shojaei Reyhane , Sharififar Fariba 
Published: July 2024

Abstract
Introduction
Multiple sclerosis (MS) is a chronic and debilitating disease that not only leads to disability and associated condition but also impacts one’s ability to maintain a professional life. People’s acceptance and utilization of medicinal plants (MPs) play an important role in managing their treatment process. As a result, this study aims to investigate the use of medicinal herbs among patients with MS.

Methods
A descriptive cross-sectional study was conducted on 150 MS patients who visited a private clinic and the MS Association in Kerman, Iran in 2021. A questionnaire comprising questions about sociodemographic information, disease variables, and aspects of MPs usage was utilized for data collection. Statistical analysis was performed using SPSS version 20 (SPSS Inc., Chicago, IL). The Chi-square test was employed to identify any association between demographic characteristics and MPs usage. To determine the prevalence of plant use in a specific area and the consensus among informants, the use value (UV) and Informant consensus factor (Fic) were calculated.

Results
The study revealed a high prevalence of MPs usage among MS patients. Chamomile (66.6%) and golegavzaban (62.0%) were the most commonly used plants with the highest UV indices (0.88 and 0.82 respectively), while St. John’s wort and licorice were rarely used (0.67% and 4% respectively). Participants cited pursuing a healthier lifestyle as the primary reason for using MPs (24%). St. John’s wort, lavender, and chamomile were the most satisfying plants (100%, 100%, and 53.0% respectively). Chamomile had the highest Fic too. Most patients were motivated to get MPs from their relatives.

Conclusions
Given the widespread use of MPs among MS patients, neurologists should enhance their knowledge in this area to guide patients away from seeking advice from non-professionals. Providing standardized formulations can help prevent potential interactions between MPs and mainstream drugs, thereby improving patients safety and outcomes.
The impact of simulation-based learning on the knowledge, attitude and performance of physiotherapy students on practice placement
Authors: Dairo Yetunde M. , Hunter Kirsty , Ishaku Timothy 
Published: July 2024

Abstract
Background
Practice placement is a crucial part of pre-registration physiotherapy education worldwide. However, educators face challenges in finding practice sites for students to undertake placement. The use of simulation-based (SBL) learning has the potential to replace some traditional placement, thereby increasing placement capacity, but the benefits have not been fully explored. This study aimed to assess the impact of SBL placement on students’ knowledge, attitude, and performance during practice placements with external providers.

Methods
This study utilised an exploratory qualitative research design using a semi-structured interview to collect data from Year 2 students of a 2-year MSc pre-registration physiotherapy programme in the UK. To be eligible to be included in the study, students must have participated in the 4-week simulation placement and have completed all their practice placements with external providers. All the interviews were conducted virtually in a 1:1 setting and recorded. The interviews lasted an average of 45 min. An inductive thematic analysis based on Braun and Clarke’s approach was utilised in this study.

Results
Twelve students consented to participate in this study. The 56 codes generated from the data were categorised into 5 themes; [1] Working together, [2] Working with Service Users, [3] Professionalism, [4] Profession-specific practical skills and [5] Generic practical skills. Participants unanimously expressed a positive view on working in groups, and they believe that engaging with service users who acted as patients enhanced the authenticity of the simulation placement. Subjective and objective assessments were considered important profession-specific skills gained during the simulation. Despite the benefits derived from the simulation placement, some participants felt that the learning experience would have been enriched by periodically changing the groups they were working in and having the opportunity for more 1:1 feedback throughout the four weeks.

Conclusions
SBL has the potential to be a valuable educational experience for physiotherapy students. It may assist in better preparing students for successful integration into the dynamic healthcare environment. To enhance and improve the authenticity of this type of placementour recommendations include recruiting more service users, incorporating and encouraging more intervention-based elements, and increasing the practice educators’ and students’ contact time.
“Expected to happen”: perspectives on post-release overdose from recently incarcerated people with opioid use disorder
Authors: Michener Pryce S. , Bianchet Elyse , Fox Shannon , Evans Elizabeth A. , Friedmann Peter D. 
Published: July 2024

Abstract
Background
Opioid-related overdose is the leading cause of death for people recently released from incarceration, however treatment with medications for opioid use disorder (MOUD) during incarceration can reduce the mortality risk. This study seeks to qualitatively analyze perceptions of post-release overdose risk from the perspectives of people who received MOUD while incarcerated in one of eight Massachusetts jails during 2021–2022 using the Risk Environment Framework to guide analyses.

Methods
N = 38 participants with lived experience of MOUD treatment during incarceration who are now living in the community were interviewed on factors that may contribute to or protect against post-release overdose risk. Themes were identified inductively and deductively using the Risk Environment Framework and its domains, which organizes themes along physical, social, economic, and policy environments on both the micro- and macro- scales.

Results
The physical risk environment included loss of opioid tolerance during incarceration, polysubstance use, and the toxicity of the regional drug supply as key producers of increased risk for post-release overdose. Social drivers of risk included peer group risk norms—including peer-driven harm reduction practices and interpersonal relationships between drug sellers and buyers—as well as macro-level social determinants of health such as housing insecurity and availability of mental health services. Economic drivers of post-release overdose risk included lack of income generation during incarceration and employment challenges. Participants discussed several aspects of policy that contribute to post-release overdose risk, including availability of harm reduction supplies, public health services, and broader policy around MOUD.

Conclusions
The perspectives of people with lived experience are vital to understanding the disproportionate risks of overdose for those recently released from incarceration. Our results highlight the intersectional factors that produce and reproduce the post-release overdose risk environment, providing support for interventions across each domain of the Risk Environment Framework. By capturing perspectives from people with lived experience of OUD and incarceration during this critical period of risk, we can better identify interventions that target and mitigate overdose-related harm in this population.
Advancing stroke therapy: innovative approaches with stem cell-derived extracellular vesicles
Authors: Song Jiahao , Zhou Da , Cui Lili , Wu Chuanjie , Jia Lina , Wang Mengqi , Li Jingrun , Ya Jingyuan , Ji Xunming , Meng Ran 
Published: July 2024

AbstractStroke is a leading cause of mortality and long-term disability globally, with acute ischemic stroke (AIS) being the most common subtype. Despite significant advances in reperfusion therapies, their limited time window and associated risks underscore the necessity for novel treatment strategies. Stem cell-derived extracellular vesicles (EVs) have emerged as a promising therapeutic approach due to their ability to modulate the post-stroke microenvironment and facilitate neuroprotection and neurorestoration. This review synthesizes current research on the therapeutic potential of stem cell-derived EVs in AIS, focusing on their origin, biogenesis, mechanisms of action, and strategies for enhancing their targeting capacity and therapeutic efficacy. Additionally, we explore innovative combination therapies and discuss both the challenges and prospects of EV-based treatments. Our findings reveal that stem cell-derived EVs exhibit diverse therapeutic effects in AIS, such as promoting neuronal survival, diminishing neuroinflammation, protecting the blood-brain barrier, and enhancing angiogenesis and neurogenesis. Various strategies, including targeting modifications and cargo modifications, have been developed to improve the efficacy of EVs. Combining EVs with other treatments, such as reperfusion therapy, stem cell transplantation, nanomedicine, and gut microbiome modulation, holds great promise for improving stroke outcomes. However, challenges such as the heterogeneity of EVs and the need for standardized protocols for EV production and quality control remain to be addressed. Stem cell-derived EVs represent a novel therapeutic avenue for AIS, offering the potential to address the limitations of current treatments. Further research is needed to optimize EV-based therapies and translate their benefits to clinical practice, with an emphasis on ensuring safety, overcoming regulatory hurdles, and enhancing the specificity and efficacy of EV delivery to target tissues.
Graphical Abstract