bluuebunny/crossref_metadata_2025_split huggingface dataset:
Timing of Alzheimer’s Disease by Intellectual Disability Level in Down Syndrome
Authors: Hartley Sigan L. , Fleming Victoria , Schworer Emily K. , Peven Jamie , Handen Benjamin L. , Krinsky-McHale Sharon , Hom Christy , Lee Laisze , Tudorascu Dana L. , Laymon Charles , Minhas Davneet , Luo Weiquan , Cohen Annie , Zaman Shahid , Ances Beau M. , Mapstone Mark , Head Elizabeth , Lai Florence , Rosas H. Diana , Klunk William , Christian Bradley ,   the Alzheimer Biomarker Consortium-Down Syndrome
Published: July 2023

Background: Trisomy 21 causes Down syndrome (DS) and is a recognized cause of early-onset Alzheimer’s disease (AD). Objective: The current study sought to determine if premorbid intellectual disability level (ID) was associated with variability in age-trajectories of AD biomarkers and cognitive impairments. General linear mixed models compared the age-trajectory of the AD biomarkers PET Aβ and tau and cognitive decline across premorbid ID levels (mild, moderate, and severe/profound), in models controlling trisomy type, APOE status, biological sex, and site. Methods: Analyses involved adults with DS from the Alzheimer’s Biomarkers Consortium-Down Syndrome. Participants completed measures of memory, mental status, and visuospatial ability. Premorbid ID level was based on IQ or mental age scores prior to dementia concerns. PET was acquired using [11C] PiB for Aβ, and [18F] AV-1451 for tau. Results: Cognitive data was available for 361 participants with a mean age of 45.22 (SD = 9.92) and PET biomarker data was available for 154 participants. There was not a significant effect of premorbid ID level by age on cognitive outcomes. There was not a significant effect of premorbid ID by age on PET Aβ or on tau PET. There was not a significant difference in age at time of study visit of those with mild cognitive impairment-DS or dementia by premorbid ID level. Conclusion: Findings provide robust evidence of a similar time course in AD trajectory across premorbid ID levels, laying the groundwork for the inclusion of individuals with DS with a variety of IQ levels in clinical AD trials.
Assistive technology for people with visual disability: Future prospects through a technology foresight exercise
Authors: Cabral Bernardo , Amorim Inara , Silva Daniel , Santana Islaine , Carvalho Fernanda , Cordeiro Vinícius 
Published: July 2023

BACKGROUND: In recent years, with ever-improving technology, considerable progress has been made in the approaches available to develop mobility assistive technology systems. OBJECTIVE: This paper aims to anticipate the future of assistive technologies of navigation and mobility for people with severe visual disabilities in the next twenty years (2021–2041). METHODS: We conducted a technology foresight exercise by identifying promising technologies and invited over 20,000 researchers worldwide to share their views on the future of assistive technologies for people with visual impairment. The technologies and respondents were identified from specialized journals indexed on Web of Science. RESULTS: Most respondents believe computer vision will be the most important assistive technology group for mobility and navigation for visually impaired people, especially with haptic feedback. They also believe that voice and vibrotactile are the most relevant feedback and that glasses and smartphones will be the most important tools for visual impairment support. CONCLUSIONS: While costs and lack of user training may hamper the development and use of these new technologies, they represent the future of assistive technology for people with visual impairments.
High throughput Luminex beads based multiplex assay for identification of six major bacterial pathogens of mastitis in dairy animals
Authors: Shrinet Garima , Chhabra Rajesh , Sharma Archana , Batra Kanisht , Talukdar Saurabh Jyoti , Maan Sushila 
Published: July 2023

IntroductionBovine mastitis is caused by over 150 different microorganisms. Specific identification and quantification of multiple bacteria in a single milk sample becomes essential for rapid intervention.MethodsIn the present study a Luminex beads based multiplex assay emphasizing on the precise identification of six major bacterial pathogens of mastitis was developed. Assay was developed in two triplex sets, triplex 1 comprised of Streptococcus agalactiae, Streptococcus dysgalactiae and Streptococcus uberis while triplex 2 consisted of Staphylococcus aureus, E. coli and Klebsiella pneumoniae.ResultsThe analytical sensitivity was 10 6 copies per reaction mixture for all the six bacteria. A 100% analytical specificity was observed for simultaneous detection of these bacteria. Clinical milk samples from 100 bovine quarters were tested for validation.DiscussionThe analytical sensitivity was similar to the findings reported earlier in real time PCR multiplex assay targeting the DNA of the 11 most common bacterial species or groups in mastitis. The analytical specificity of the optimized assay was 100% similar to reported earlier for simultaneous detection of Mycoplasma spp. and for seven entric viruses of humans.The developed assay indicates a concept proof of a rapid, cost effective high throughput diagnostic tool for identification of major bacteria causing mastitis.
Using mixed reality technique combines multimodal imaging signatures to adjuvant glioma photodynamic therapy
Authors: Dong Jiawei , Wang Fang , Xu Yuyun , Gao Xin , Zhao Hongtao , Zhang Jiheng , Wang Nan , Liu Zhihui , Yan Xiuwei , Jin Jiaqi , Ji Hang , Cheng Ruiqi , Wang Lihai , Qiu Zhaowen , Hu Shaoshan 
Published: July 2023

BackgroundPhotodynamic therapy (PDT) promotes significant tumor regression and extends the lifetime of patients. The actual operation of PDT often relies on the subjective judgment of experienced neurosurgeons. Patients can benefit more from precisely targeting PDT’s key operating zones.MethodsWe used magnetic resonance imaging scans and created 3D digital models of patient anatomy. Multiple images are aligned and merged in STL format. Neurosurgeons use HoloLens to import reconstructions and assist in PDT execution. Also, immunohistochemistry was used to explore the association of hyperperfusion sites in PDT of glioma with patient survival.ResultsWe constructed satisfactory 3D visualization of glioma models and accurately localized the hyperperfused areas of the tumor. Tumor tissue taken in these areas was rich in CD31, VEGFA and EGFR that were associated with poor prognosis in glioma patients. We report the first study using MR technology combined with PDT in the treatment of glioma. Based on this model, neurosurgeons can focus PDT on the hyperperfused area of the glioma. A direct benefit was expected for the patients in this treatment.ConclusionUsing the Mixed Reality technique combines multimodal imaging signatures to adjuvant glioma PDT can better exploit the vascular sealing effect of PDT on glioma.
LASSI-L detects early cognitive changes in pre-motor manifest Huntington’s disease: a replication and validation study
Authors: Sierra Luis A. , Hughes Shelby B. , Ullman Clementina J. , Hall Andrew , Pandeya Sarbesh R. , Schubert Robin , Frank Samuel A. , Halko Mark A. , Corey-Bloom Jody , Laganiere Simon 
Published: July 2023

Background and objectivesCognitive decline is an important early sign in pre-motor manifest Huntington’s disease (preHD) and is characterized by deficits across multiple domains including executive function, psychomotor processing speed, and memory retrieval. Prior work suggested that the Loewenstein-Acevedo Scale for Semantic Interference and Learning (LASSI-L)–a verbal learning task that simultaneously targets these domains - could capture early cognitive changes in preHD. The current study aimed to replicate, validate and further analyze the LASSI-L in preHD using larger datasets.MethodsLASSI-L was administered to 50 participants (25 preHD and 25 Healthy Controls) matched for age, education, and sex in a longitudinal study of disease progression and compared to performance on MMSE, Trail A &amp; B, SCWT, SDMT, Semantic Fluency (Animals), and CVLT-II. Performance was then compared to a separate age-education matched-cohort of 25 preHD participants. Receiver operating curve (ROC) and practice effects (12 month interval) were investigated. Group comparisons were repeated using a preHD subgroup restricted to participants predicted to be far from diagnosis (Far subgroup), based on CAG-Age-Product scaled (CAPs) score. Construct validity was assessed through correlations with previously established measures of subcortical atrophy.ResultsPreHD performance on all sections of the LASSI-L was significantly different from controls. The proactive semantic interference section (PSI) was sensitive (p = 0.0001, d = 1.548), similar across preHD datasets (p = 1.0), reliable on test–retest over 12 months (spearman rho = 0.88; p = &lt;0.00001) and associated with an excellent area under ROC (AUROC) of 0.855. In the preHD Far subgroup comparison, PSI was the only cognitive assessment to survive FDR &lt; 0.05 (p = 0.03). The number of intrusions on PSI was negatively correlated with caudate volume.DiscussionThe LASSI-L is a sensitive, reliable, efficient tool for detecting cognitive decline in preHD. By using a unique verbal learning test paradigm that simultaneously targets executive function, processing speed and memory retrieval, the LASSI-L outperforms many other established tests and captures early signs of cognitive impairment. With further longitudinal validation, the LASSI-L could prove to be a useful biomarker for clinical research in preHD.
Optimising blood glucose control with portioned meal box in type 2 diabetes mellitus patients: a randomised control trial
Authors: Maneesing Tanu-udom , Dawangpa Atchara , Chaivanit Pechngam , Songsakul Sudjai , Prasertsri Piyapong , Yumi Noronha Natália , Watanabe Lígia Moriguchi , Nonino Carla Barbosa , Pratumvinit Busadee , Sae-Lee Chanachai 
Published: July 2023

BackgroundThe impact of dietary factors on glycaemic control in type 2 diabetes mellitus (T2DM) is well established. However, the effectiveness of transforming portion control into a practical innovation for glycaemic control in T2DM has not yet been established for counselling in nutrition. The aim of this study was to compare the effect of general counselling in nutrition (GCN) and a portioned meal box (PMB) on fasting blood glucose, glycated haemoglobin (HbA1c) and body composition.MethodsA randomised, parallel intervention trial was conducted over 12 weeks, with GCN: carbohydrate portion control concept by using food exchange lists (n = 25) and PMB: portioned meal box was set by energy requirements (n = 25).ResultsBoth GCN and PMB demonstrated reductions in HbA1c levels at the 6th and 12th weeks compared to baseline. However, no significant difference in HbA1c was observed between GCN and PMB at either the 6th or 12th week. Using PMB at least four times a week significantly decreased HbA1c during the intervention period (p = 0.021 andp &lt; 0.001 for weeks 6 and 12 when compared with baseline, respectively). Changes in body composition were observed: body weight decrease in PMB only, body fat decrease and constant muscle mass in both groups. Both methods tended to relieve hunger and increased satiety in both groups. The satisfaction evaluation showed that participants preferred to use PMB over GCN (p = 0.001). Additionally, participants consumed less energy, carbohydrate and fat in PMB (p = 0.001,p = 0.019, andp = 0.001, respectively) and less energy and fat in GCN (p = 0.006 andp = 0.001, respectively).ConclusionA better diet, either through GCN or PMB, can play an important role in improving dietary intake compliance and controlling blood glucose.
Incidence, mortality, and survival of hematological malignancies in Northern Italian patients: an update to 2020
Authors: Mangone Lucia , Penna Domenico , Marinelli Francesco , Roncaglia Francesca , Bisceglia Isabella , Merli Francesco , Ruffini Alessia , Gamberi Barbara , Tieghi Alessia , Valli Riccardo , Albertazzi Laura , Iori Mauro , Giorgi Rossi Paolo , Vener Claudia , Morabito Fortunato , Neri Antonino , Luminari Stefano 
Published: July 2023

BackgroundHematological malignancies (HMs) represent a heterogeneous group of diseases with diverse etiology, pathogenesis, and prognosis. HMs’ accurate registration by Cancer Registries (CRs) is hampered by the progressive de-hospitalization of patients and the transition to molecular rather than microscopic diagnosis.Material and methodsA dedicated software capable of automatically identifying suspected HMs cases by combining several databases was adopted by Reggio Emilia Province CR (RE-CR). Besides pathological reports, hospital discharge archives, and mortality records, RE-CR retrieved information from general and biomolecular laboratories. Incidence, mortality, and 5-year relative survival (RS) reported according to age, sex, and 4 HMs’ main categories, were noted.ResultsOverall, 7,578 HM cases were diagnosed from 1996 to 2020 by RE-CR. HMs were more common in males and older patients, except for Hodgkin Lymphoma and Follicular Lymphoma (FL). Incidence showed a significant increase for FL (annual percent change (APC)=3.0), Myeloproliferative Neoplasms (MPN) in the first period (APC=6.0) followed by a significant decrease (APC=-7.4), and Myelodysplastic Syndromes (APC=16.4) only in the first period. Over the years, a significant increase was observed in 5-year RS for Hodgkin -, Marginal Zone -, Follicular - and Diffuse Large B-cell-Lymphomas, MPN, and Acute Myeloid Leukemia. The availability of dedicated software made it possible to recover 80% of cases automatically: the remaining 20% required direct consultation of medical records.ConclusionsThe study emphasizes that HM registration needs to collect information from multiple sources. The digitalization of CRs is necessary to increase their efficiency.
The evolution of minimal residual disease: key insights based on a bibliometric visualization analysis from 2002 to 2022
Authors: Yu Zhengyu , Xie Li , Zhang Jing , Lin Hua , Niu Ting 
Published: July 2023

BackgroundThe topic of minimal residual disease (MRD) has emerged as a crucial subject matter in the domain of oncology in recent years. The detection and monitoring of MRD have become essential for the diagnosis, treatment, and prognosis of various types of malignancy.AimsThe purpose of this study is to explore the research trends, hotspots, and frontiers of MRD in the last two decades through bibliometric analysis.MethodsWe employed Web of Science databases to carry out a bibliometric visualization analysis of research on 8,913 academic papers about MRD research from 2002 to 2022. VOSviewer, CiteSpace, RStudio, and a bibliometric online analysis platform were mainly used to conduct co-occurrence analysis and cooperative relationship analysis of countries/regions, institutions, journals, and authors in the literature. Furthermore, co-occurrence, co-citation, and burst analyses of keyword and reference were also conducted to generate relevant knowledge maps.ResultsIn the past 20 years, the number of MRD research papers has presented an overall rising trend, going through three stages: a plateau, development, and an explosion. The output of articles in the United States was notably superior and plays a dominant role in this field, and the Netherlands had the highest average citation per article. The most productive and influential institution was the University of Texas MD Anderson Cancer Center. Blood published the most papers and was the most cited journal. A collection of leading academics has come to the fore in the research field, the most prolific of which is Kantarjian HM. It was found that the application of MRD in “acute myeloid leukemia”, “acute lymphoblastic leukemia”, “multiple myeloma”, as well as the detection technology of MRD, are the research hotspots and frontiers in this domain. Furthermore, we analyzed the co-citation network of references and found that the top 10 co-cited references were all associated with MRD in hematological malignancies.ConclusionThis bibliometric visualization analysis conducted a thorough exploration into the research hotspots and trends in MRD from 2002 to 2022. Our findings can aid researchers in recognizing possible collaborations, guiding future research directions, and fostering the growth of MRD detection and monitoring technologies.
Neighborhood socioeconomic status and length of stay after congenital heart disease surgery
Authors: Vashist Sudhir , Dudeck Brandon S. , Sherfy Beth , Rosenthal Geoffrey L. , Chaves Alicia H. 
Published: July 2023

Background and ObjectivesSocioeconomic factors are associated with health outcomes and can affect postoperative length of stay after congenital heart disease (CHD) surgery. The hypothesis of this study is that patients from neighborhoods with a disadvantaged socioeconomic status (SES) have a prolonged length of hospital stay after CHD surgery.MethodsPre- and postoperative data were collected on patients who underwent CHD surgery at the University of Maryland Medical Center between 2011 and 2019. A neighborhood SES score was calculated for each patient using data from the United States Census Bureau and patients were grouped by high vs. low SES neighborhoods. The difference of patient length of stay (LOS) from the Society for Thoracic Surgeons median LOS for that surgery was the primary outcome measure. Linear regression was performed to examine the association between the difference from the median LOS and SES, as well as other third variables.ResultsThe difference from the median LOS was −4.8 vs. −2.2 days in high vs. low SES groups (p = 0.003). SES category was a significant predictor of LOS in unadjusted and adjusted regression analyses. There was a significant interaction between Norwood operation and SES—patients with a low neighborhood SES who underwent Norwood operation had a longer LOS, but there was no difference in LOS by SES in patients who underwent other operations.ConclusionsNeighborhood SES is a significant predictor of the LOS after congenital heart disease surgery. This effect was seen primarily in patients undergoing Norwood operation.
Opioid prescription patterns in the province of Las Palmas, Canary Islands, Spain (2016–2020): differences between urban and rural areas
Authors: Oliva Alexis , González de Chavez Patricia , Dévora Sandra , Abdala Susana 
Published: July 2023

Introduction: The use of opioids has increased markedly in the past decades in European countries, especially for treatment of non-cancer pain including painful chronic musculoskeletal conditions. However, there are some notable differences in the relative levels of use between geographical areas and some distinct, context-specific patterns of weak and strong opioid use. The aim of this work is to describe real world trends in dosage forms and population exposure in the prescription opioid use on isolated geographically area: The Canary Islands of Gran Canaria, Lanzarote and Fuerteventura, Spain. For this, several factors such as living in a rural or urban area, population over 65 years of age, population density or socioeconomic status were analyzed.Methods: Data were extracted from the wholesalers who supply the community pharmacies at the population level. Prescription opioid use was measured as defined daily doses (DDD) per 1,000 inhabitants per day. A model based on covariance analysis with two nested fixed factors and one co-variable was used for contrast analysis at different level.Results: The overall DDD per 1000 inhabitants per day and year variation rate in Spain was very similar to that obtained for Gran Canaria and Fuerteventura (0.967 vs. 1.006), although the levels of dispensation were different (14.75 versus 18.24 for Gran Canaria and 12.7 for Fuerteventura, respectively). Lanzarote is completely different in all issues, where the opioid consumption rate remained stable during the study period, but with a decreasing tendency. The dispensation level of strong opioids varied between islands, from 56.41% for Fuerteventura vs. 17.61% for Gran Canaria, although these values remained stable. Tramadol with acetaminophen and Tramadol in monotherapy were the most consumed forms of the weak opioids, whereas Buprenorphine was the most used strong opioid followed by Fentanyl, although demand for it varied between islands, the transdermal formulations were the most frequent pharmaceutical preparation.Conclusion: The differences in prescription opioid use are most likely explained by the opioid prescribing practices in each island, whereas factors such urbanicity level, population age, population density and status socioeconomic does not help to explain the differences in prescription opioid use across rural and urban areas.
Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning
Authors: Byeon Haewon 
Published: July 2023

ObjectiveThis study identified major risk factors for depression in community diabetic patients using machine learning techniques and developed predictive models for predicting the high-risk group for depression in diabetic patients based on multiple risk factors.MethodsThis study analyzed 26,829 adults living in the community who were diagnosed with diabetes by a doctor. The prevalence of a depressive disorder was the dependent variable in this study. This study developed a model for predicting diabetic depression using multiple logistic regression, which corrected all confounding factors in order to identify the relationship (influence) of predictive factors for diabetic depression by entering the top nine variables with high importance, which were identified in CatBoost.ResultsThe prevalence of depression was 22.4% (n = 6,001). This study calculated the importance of factors related to depression in diabetic patients living in South Korean community using CatBoost to find that the top nine variables with high importance were gender, smoking status, changes in drinking before and after the COVID-19 pandemic, changes in smoking before and after the COVID-19 pandemic, subjective health, concern about economic loss due to the COVID-19 pandemic, changes in sleeping hours due to the COVID-19 pandemic, economic activity, and the number of people you can ask for help in a disaster situation such as COVID-19 infection.ConclusionIt is necessary to identify the high-risk group for diabetes and depression at an early stage, while considering multiple risk factors, and to seek a personalized psychological support system at the primary medical level, which can improve their mental health.