bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bibliometric analysis of research in ethical concerns and dilemmas of digital mental health care in the last two decades
Authors: Sharma Poonam , Wagani Rekha , Varghese Mahima Anna 
Published: January 2025

IntroductionDigital mental health care system includes the interventions delivered via digital technologies, such as mobile apps, websites, or virtual reality (VR). A recent upsurge in the digital mental healthcare care services has been observed in the last 5 years. With its core advantage of reaching the unreached, wider coverage, cost and time effectivity, all eyes are on the digital mental health care system. It is definitely a mechanism to cater rising prevalence of mental health concern, stigma towards mental health, accessibility and cost and uplift the psychological wellbeing. Success of the digital mental health care system has been researched world-wide. However, the same is not unaffected by the ethical concerns.MethodsThis study aims to perform a comprehensive bibliometric analysis of scholarly articles on ethical concerns and dilemmas of digital mental health care by utilizing data extracted from the Scopus database from 2000 to 2024 by analysing 123 research articles. Statistical descriptive analysis in combination with performance analysis and co-word analysis was used to understand the research trends, leading countries and country collaborations studying ethical concerns related to digital mental healthcare.Result and discussionThe first publication appeared in 2000 with zero research till the year 2005. In this decade till 2010 we can observe only 4 publications. Consistent publishing started trending upward through 2018, observing the largest increase during pandemic in 2020 and onwards constituting 100 publications. The United States of America is the leading country studying ethical dilemmas in Digital Mental healthcare, with 42 papers followed by United Kingdom with 23 publications. The most influential peace of research with 490 citations is article co-authored by Barak et al. (2009), which is defining internet-supported therapeutic interventions and related concerns. BMJ Open is noted as the leading journal which is publishing issues concerning Digital Mental Healthcare with 18 publications, followed by Frontiers in Psychiatry and JMIR Mental Health. Analyses reflects that the top cited articles on Digital Mental healthcare are specifically directed on bringing out some of the key concerns of data privacy, emergency response, therapist competency and consent which requires appropriate handling Otherwise they may be cause of distress to client and question the trustworthiness of the Digital Mental Health Care system.ConclusionThe concerns brought out through this bibliometric analysis could be important guiding principles for online mental health services. Alongside, mental health professionals operating online must have orientation on the ethical concerns surrounding online mental healthcare.
Genetic background and microbiome drive susceptibility to epicutaneous sensitization and food allergy in adjuvant-free mouse model
Authors: Hornikova Tereza , Jelinkova Anna , Jiraskova Zakostelska Zuzana , Thon Tomas , Coufal Stepan , Polouckova Andrea , Kopelentova Eliska , Kverka Miloslav , Makovicky Peter , Tlaskalova-Hogenova Helena , Sediva Anna , Schwarzer Martin , Srutkova Dagmar 
Published: January 2025

BackgroundThe dual allergen exposure hypothesis states that sensitization to food antigens occurs through a damaged skin barrier in individuals with no previous oral tolerance to certain foods. However, the resulting allergic reaction could depend on factors such as the host’s genetic predisposition as well as the skin and gut microbiota.MethodsSpecific-pathogen-free BALB/c and C57BL/6 and germ-free (GF) BALB/c mice were epicutaneously sensitized with ovalbumin (OVA) via dorsal tape-stripped skin and challenged with OVA by intragastric gavage. The development of food allergy (FA) symptoms, the Th2 and mast cell immune response and differences in the skin and gut microbiota were investigated.ResultsBALB/c mice, but not C57BL/6 mice, showed severe clinical signs of FA (hypothermia, diarrhea) as well as a stronger serum antibody response and Th2 cytokine secretion in the spleen and jejunum after OVA-treatment. The increased mast cell count correlated with higher MCPT-1 production and histidine decarboxylase mRNA expression in the jejunum of these mice. The 16S rRNA sequencing analysis revealed lower abundance of short-chain fatty acids producing bacteria in the gut microbiome of OVA-treated BALB/c mice. Changes in the β-diversity of the gut microbiome reflect both the genetic background as well as the OVA treatment of experimental mice. Compared to SPF mice, GF mice developed more severe anaphylactic hypothermia but no diarrhea, although they had a higher mast cell count, increased MCPT-1 production in the jejunum and serum, and increased arachidonate 5-lipoxygenase mRNA expression.ConclusionsWe show that the BALB/c mice are a mouse strain of choice for model of adjuvant-free epicutaneous sensitization through the disrupted skin barrier and following food allergy development. Our results highlight the significant influence of genetic background and microbiota on food allergy susceptibility, emphasizing the complex interplay between these factors in the allergic response.
Peripheral blood immunoinflammatory biomarkers: prospective predictors of postoperative long-term survival and chronic postsurgical pain in breast cancer
Authors: Li Baoli , Che Li , Li Huixian , Min Fangdi , Ai Bolun , Wu Linxin , Wang Taihang , Tan Peixin , Fu Bingbing , Yang Jiashuo , Fang Yi , Zheng Hui , Yan Tao 
Published: January 2025

BackgroundTumor progression and chronic postsurgical pain (CPSP) in patients with breast cancer are both significantly influenced by inflammation. The associations between immunoinflammatory biomarkers and long-term survival, as well as CPSP, remain ambiguous. This study examined the predictive value of immunoinflammatory biomarkers for both long-term survival and CPSP.MethodsData on the clinicopathological characteristics and perioperative peripheral blood immunoinflammatory biomarkers of 80 patients who underwent breast cancer surgery were retrospectively collected. Optimal cut-off values for preoperative immunoinflammatory biomarkers, including the preoperative systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), and pan-immune-inflammation value (PIV), were established via receiver operating characteristic (ROC) curves. Kaplan−Meier curves and Cox regression analysis were used to evaluate the relationships between preoperative immunoinflammatory biomarkers and long-term survival. The relationships among the perioperative neutrophil count (NEU), monocyte count (MONO), lymphocyte count (LYM), platelet count (PLT), SII, SIRI, NLR, PIV, dynamic changes in peripheral blood cell counts, and CPSP were further assessed using logistic regression analysis.ResultsKaplan−Meier curves revealed a considerable prolongation of disease-free survival (DFS) and overall survival (OS) in the low preoperative SII, SIRI, NLR, and PIV groups. Multivariate Cox regression analysis revealed that only an elevated preoperative SIRI was an independent risk factor for postoperative DFS (HR=8.890, P=0.038). The incidence of CPSP was 28.75%. Univariate logistic regression analysis revealed that body mass index (BMI), postoperative NEU, MONO, SIRI, and PIV were negatively correlated with the occurrence of CPSP, whereas subsequent multivariate logistic regression analysis revealed that only BMI was independently associated with CPSP (OR=0.262, P=0.023).ConclusionElevated preoperative SIRI was an independent risk factor for poor DFS in breast cancer patients after surgery. In contrast, perioperative immunoinflammatory biomarkers had limited potential for predicting CPSP in patients who underwent breast cancer surgery.
Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts
Authors: Alkhatatbeh Tariq , Alkhatatbeh Ahmad , Guo Qin , Chen Jiechen , Song Jidong , Qin Xingru , Wei Wang 
Published: January 2025

PurposeDistinguishing between Osteonecrosis of the femoral head (ONFH) and Osteoarthritis (OA) can be subjective and vary between users with different backgrounds and expertise. This study aimed to construct and evaluate several Radiomics-based machine learning models using MRI to differentiate between those two disorders and compare their efficacies to those of medical experts.Methods140 MRI scans were retrospectively collected from the electronic medical records. They were split into training and testing sets in a 7:3 ratio. Handcrafted radiomics features were harvested following the careful manual segmentation of the regions of interest (ROI). After thoroughly selecting these features, various machine learning models have been constructed. The evaluation was carried out using receiver operating characteristic (ROC) curves. Then NaiveBayes (NB) was selected to establish our final Radiomics-model as it performed the best. Three users with different expertise and backgrounds diagnosed and labeled the dataset into either OA or ONFH. Their results have been compared to our Radiomics-model.ResultsThe amount of handcrafted radiomics features was 1197 before processing; after the final selection, only 12 key features were retained and used. User 1 had an AUC of 0.632 (95% CI 0.4801-0.7843), User 2 recorded an AUC of 0.565 (95% CI 0.4102-0.7196); while User 3 was on top with an AUC of 0.880 (95% CI 0.7753-0.9843). On the other hand, the Radiomics model attained an AUC of 0.971 (95% CI 0.9298-1.0000); showing greater efficacy than all other users. It also demonstrated a sensitivity of 0.937 and a specificity of 0.885. DCA (Decision Curve Analysis displayed that the radiomics-model had a greater clinical benefit in differentiating OA and ONFH.ConclusionWe have successfully constructed and evaluated an interpretable radiomics-based machine learning model that could distinguish between OA and ONFH. This method has the ability to aid both junior and senior medical professionals to precisely diagnose and take prompt treatment measures.
Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods
Authors: Meshkov Ivan O. , Koturgin Alexander P. , Ershov Pavel V. , Safonova Liubov A. , Remizova Julia A. , Maksyutina Valentina V. , Maralova Ekaterina D. , Astafieva Vasilisa A. , Ivashechkin Alexey A. , Ignatiev Boris D. , Makhotenko Antonida V. , Snigir Ekaterina A. , Makarov Valentin V. , Yudin Vladimir S. , Keskinov Anton A. , Yudin Sergey M. , Makarova Anna S. , Skvortsova Veronika I. 
Published: January 2025

IntroductionMinimally invasive diagnostics based on liquid biopsy makes it possible early detection of lung cancer (LC). The blood plasma circulating cell-free DNA (cfDNA) fragments reflect the genome and chromatin status and are considered as integral cancer biomarkers and the biological entities for ‘cancer-of-origin’ prediction. The aim of this work is to create a method for processing next-generation sequencing (NGS) data and an interpretable binary classification model (CM), which analyzed cfDNA fragmentation features for distinguishing healthy subjects and subjects with LC.Methods148 healthy subjects and 138 subjects with LC were included in the study. cfDNA fractions, isolated from blood plasma biospecimens, were used for DNA libraries preparations and NGS on the NovaSeq 6,000 Illumina system with a coverage of 100 million reads/sample. Twelve variables, describing the abundance and length distribution of cfDNA fragments within each genomic interval, and 40 variables based on the values of position-weight matrices, describing combinations of 5-bp-long terminal motifs of cfDNA fragments, were used to characterize genomic fragmentation. Classification models of the first phase of machine learning were based either on logistic regression with L1- and L2-regularization or were probabilistic CMs based on Gaussian processes. The second phase CM was based on kernel logistic regression.ResultsThe final CM can distinguish healthy subjects and subjects with LC with AUC values of 0.872–0.875. The performance of developed CM was evaluated using datum and testing sets for each LC stage category. Sensitivity values ranged from 66.7 to 85.7%, from 77.8 to 100%, and from 70 to 80% for LC stages I, II, and III, respectively. Specificity values ranged from 79.3 to 90.0%.DiscussionThus, the CM has a good diagnostic value and does not require clinical or other data on tumor-associated biomarkers. The current method for LC detection has some advantages for future clinical implementation as a decision-making support system due to the performance of the CM requires data exclusively from NGS-analysis of blood plasma cfDNA fragmentation; the accuracy of the CM does not depend on any additional clinical data; the CM is highly interpretable and traceable; CM has appropriate modular architecture.
Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients
Authors: Xu Qi-jiang , Zang Zhi-yun , Zhou Xue-li , Ma Ni-ya , Pu Li , Li Zi 
Published: January 2025

IntroductionPeritoneal dialysis-associated peritonitis (PDAP) is a serious complication of peritoneal dialysis (PD) patients. The aim of this study was to construct a risk prediction model for frequent episodes in PDAP patients.MethodsThis retrospective cohort study included PDAP patients in our center from January 1, 2010 to December 31, 2021. The risk prediction model for frequent episodes in PDAP patients was constructed by the binary logistic regression.ResultsWe included 371 PDAP patients, of which 235 patients had single episode and 136 had frequent episodes. We randomly allocated the patients into training set (296 patients) and test set (75 patients) in the ratio of 8:2. In the training set, we found several independent risk factors significantly associated with frequent episodes in PDAP patients, including diabetes mellitus (DM), hemoglobin (HB), serum albumin (ALB), lactatic dehydrogenase (LDH), serum potassium (K), N-terminal pro-brain natriuretic peptide (NT-proBNP) and peritoneal dialysate white cell counts on day 1. And we constructed a prediction model with an area under curve (AUC) values of 0.75 in the training set and 0.76 in the test set, which showed excellent predictive performance.ConclusionWe constructed a predictive model that demonstrated excellent predictive performance for identifying high-risk frequent episodes in PDAP patients and developed a more intuitive nomogram for evaluating the risk. However, multicenter studies with a larger sample size are warranted to validate the model in the future.
Handgrip strength as a potential indicator of aging: insights from its association with aging-related laboratory parameters
Authors: Kemala Sari Nina , Stepvia Stepvia , Ilyas Muhana Fawwazy , Setiati Siti , Harimurti Kuntjoro , Fitriana Ika 
Published: January 2025

IntroductionThe aging process is frequently associated with a decline in functional capacity, endurance, muscle quality, and overall quality of life. Examining aging-related biomarkers often requires significant time and financial resources, underscoring the need for a straightforward and practical indicator. This study aims to investigate the association between handgrip strength and aging-related laboratory parameters in the elderly population of Indonesia.MethodsA cross-sectional study was conducted involving 109 participants aged 60–82 years. Handgrip strength was measured using a Jamar hydraulic hand dynamometer and Jamar PLUS+ digital dynamometer. Aging-related laboratory biomarkers were defined as those indicating physiological aging processes.ResultsThe study revealed a significant association between handgrip strength and several aging-related laboratory parameters, including leukocyte count, absolute neutrophil count, absolute lymphocyte count, neutrophil/lymphocyte ratio, and erythrocyte sedimentation rate.DiscussionThese findings suggest that handgrip strength could serve as a cost-effective, non-invasive predictor of aging-related health status in older adults. Its practical utility highlights its potential for guiding health interventions targeting the elderly population.
Efficacy and safety of pseudolaric acid B against Echinococcus multilocularis in vitro and in a murine infection model
Authors: Dawa Zhuo-ma , Zhai Ting , Liu Chuan-chuan , Fan Hai-ning 
Published: January 2025

IntroductionAlveolar echinococcosis (AE) is a chronic zoonotic disease caused by the larvae of the Echinococcus multilocularis (E. multilocularis). The current chemotherapy for AE relies on albendazole and mebendazole, which exhibit only parasitostatic rather than parasiticidal effects. Therefore, there is a need to find new anti-Echinococcosis drugs. Pseudolaric acid B (PAB) has been described to have strong antiparasitic effects. However, the in-depth mechanism by which PAB acts against E. multilocularis remains unclear.MethodsTo evaluate the effect of a PAB intervention on protoscoleces, metacestode vesicles and germinal cells in E. multilocularis in vitro. In addition, the effects of PAB on T lymphocyte and collagen synthesis were evaluated after PAB administration in a mouse model.ResultsMetacestode vesicles and germinal cells were successfully cultured, and specific genes were amplified via RT-PCR to identify the protoscoleces, vesicles, and germinal cells as the sources of E. multilocularis. In vitro studies have demonstrated that PAB exhibits dose- and concentration-dependent cytotoxicity against E. multilocularis protoscoleces. Scanning electron microscopy revealed that the microvilli structure of the protoscolex was destroyed and the rostellar hooks had fallen off. PAB induced. The release of PGI from the metacestode vesicles, leading to the structural destruction of the inner surfaces. PAB suppressed the proliferation of germinal cells. After PAB treatment, the serum and the host tissue surrounding the metacestodes IFN-γ levels were upregulated and the IL-4 and IL-10 levels was downregulated. After PAB treatment, the levels of CD4+ T lymphocytes increased and the levels of CD8+ T lymphocytes decreased in the host tissue surrounding the metacestodes and the spleen. The proportions of the Th1 and Th17 cell subpopulations were increased and the proportion of Th2 cell and Treg cell subpopulations was decreased in the host tissue surrounding the metacestodes. Additionally, collagen deposition was increased after PAB treatment. PAB suppressed the expression of matrix metalloproteinases (MMPs 1, 2, 3, 9, 13) and the activation of the PI3K/AKT signaling pathway in the host tissue surrounding the metacestodes.ConclusionPAB has a significant killing effect on E. multilocularis, suggesting that it is a potential candidate for the treatment of AE.
The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients
Authors: Liu Kai , Liu Shu , Xu Ting-ting , Qiao Hong 
Published: January 2025

ObjectivesWe sought to explore the relevance of analyses that include critical laboratory parameters and drug treatment, clinical characteristics of diabetic patients who are infected with COVID-19, to the development of individualized treatment strategies for diabetic patients infected with COVID-19.MethodsWe searched Cochrane, Embase, FMRS, Pubmed, Springer, Web of Science databases for systematic reviews and meta-analyses to estimate the clinical characteristics and prognosis of confirmed covid-19 infections in patients with and without diabetes.ResultsOur meta-analysis included a total of 32 studies with 192,693 COVID-19 patients. Common comorbidities in the diabetic group were hypertension, cerebrovascular disease, chronic kidney disease and cardiovascular disease. We discovered that white blood cell count, neutrophil count, inflammatory marker levels, D-dimer, urea, precursor of the brain natriuretic peptide (Pro-BNP) increased and lymphocyte count, estimated glomerular filtration rate (eGFR), albumin decreased significantly in the diabetic group in laboratory test results. Compared with the non-diabetic group, the diabetic group had a higher incidence of complications in acute respiratory distress syndrome (ARDS), shock, acute heart injury, acute kidney injury and more regularly used oxygen therapy, invasive ventilation, non-invasive ventilation, continuous renal replacement therapy (CRRT), extracorporeal membrane oxygenation (ECMO) treatment. Mortality and intensive care unit (ICU) hospitalization rates were highest in the diabetic group than in the non-diabetic group (p &lt; 0.05).ConclusionDiabetic patients hospitalized with COVID-19 have an increased risk of death, lower discharge rates, and higher ICU admission rates. Their presence of hypertension, cerebrovascular disease, chronic kidney disease (CKD), higher levels of inflammatory markers. Multiple complications are all predictors of poor outcomes in people with diabetes. Our findings will help identify elevated risk factors in diabetics, which will benefit early prediction.
Temporal trends and future projections of incidence rate and mortality for asthma in China: an analysis of the Global Burden of Disease Study 2021
Authors: Chen Xi , Ma Dandan , Li Hangyu , Liu Yilin , Xu Guixing , Deng Xinyu , Li Qi , Li Junqi , Pan Hui 
Published: January 2025

BackgroundAsthma poses a significant public health burden in China, affecting millions with substantial incidence and mortality. Understanding the trends and future projections of asthma incidence and mortality is crucial for healthcare planning.MethodsWe analyzed asthma incidence and mortality data sourced from the Global Burden of Disease (GBD) 2021 study from 1990 to 2021, calculated the age-standardized incidence and mortality rates (ASIR and ASMR) and the estimated annual percentage change (EAPC), meanwhile, employed Joinpoint regression model to assess the trends. The age-period-cohort model was applied to estimate the effects of the age, period, and cohort on the incidence and mortality. Finally, future asthma trends for the next 25 years were predicted utilizing the Bayesian age-period-cohort (BAPC) model.ResultsOver the past three decades, the incidence rate declined in waves while the mortality declined steadily. The ASIR of asthma decreased from 524.81 to 364.17 and the ASMR declined from 5.82 to 1.47. ASIR and ASMR are consistently higher in males than females during this period. The effect attributable to age on incidence was higher for the younger age group while the mortality was higher for older. The period ratio rate of incidence and mortality declined with the calendar year, and the corrections between birth cohort and the risk of incidence and mortality were negative. Our projections indicate that the ASIR and ASMR will continue to decrease by 2046, with expected rates of 330 and 0.69, respectively. Instead, the absolute number of asthma incidence cases and deaths may increase to approximately 4.5 million and 80,000, respectively.ConclusionAlthough asthma incidence rates and mortality have generally declined in China, the burden remains significant, especially among vulnerable groups, with higher rates in males. Continuous monitoring and age-targeted interventions are essential. Future healthcare strategies must address the aging population to manage the projected increase in asthma cases and deaths.