bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Development of a Comprehensive Clinicopathologic Registry for Glomerular Diseases Using Natural Language Processing
Authors: Barr Bryce , Harasemiw Oksana , Gibson Ian W , Tremblay-Savard Olivier , Tangri Navdeep 
Published: June 2023

Background: Glomerulonephritis (GN) represents a common cause of chronic kidney disease, and treatment to slow or prevent progression of GN is associated with significant morbidity. Large patient registries have improved the understanding of risk stratification, treatment selection, and definitions of treatment response in GN, but can be resource-intensive, with incomplete patient capture. Objective: To describe the creation of a comprehensive clinicopathologic registry for all patients undergoing kidney biopsy in Manitoba, using natural language processing software for data extraction from pathology reports, as well as to describe cohort characteristics and outcomes. Design: Retrospective population-based cohort study. Setting: Tertiary care center in the province of Manitoba. Patients: All patients undergoing a kidney biopsy in the province of Manitoba from 2002 to 2019. Measurements: Descriptive statistics are presented for the most common glomerular diseases, along with outcomes of kidney failure and mortality for the individual diseases. Methods: Data from native kidney biopsy reports from January 2002 to December 2019 were extracted into a structured database using a natural language processing algorithm employing regular expressions. The pathology database was then linked with population-level clinical, laboratory, and medication data, creating a comprehensive clinicopathologic registry. Kaplan-Meier curves and Cox models were constructed to assess the relationship between type of GN and outcomes of kidney failure and mortality. Results: Of 2421 available biopsies, 2103 individuals were linked to administrative data, of which 1292 had a common glomerular disease. The incidence of yearly biopsies increased almost 3-fold over the study period. Among common glomerular diseases, immunoglobulin A (IgA) nephropathy was the most common (28.6%), whereas infection-related GN had the highest proportions of kidney failure (70.3%) and all-cause mortality (42.3%). Predictors of kidney failure included urine albumin-to-creatinine ratio at the time of biopsy (adjusted hazard ratio [HR] = 1.43, 95% confidence interval [CI] = 1.24-1.65), whereas predictors of mortality included age at the time of biopsy (adjusted HR = 1.05, 95% CI = 1.04-1.06) and infection-related GN (adjusted HR = 1.85, 95% CI = 1.14-2.99, compared with the reference category of IgA nephropathy). Limitations: Retrospective, single-center study with a relatively small number of biopsies. Conclusions: Creation of a comprehensive glomerular diseases registry is feasible and can be facilitated through the use of novel data extraction methods. This registry will facilitate further epidemiological research in GN.
Description of apps targeting stroke patients: A review of apps store
Authors: Cao Wenjing , Kadir Azidah Abdul , Wang Yuhui , Wang Juan , Dai Bolin , Zheng Yilin , Mu Pengjuan , Hu Chencheng , Chen Jianlu , Na Luo , Hassan Intan Idiana 
Published: June 2023

Background As a principal cause of mortality and disability worldwide, stroke imposes considerable burdens on society and effects on the lives of patients, families, and communities. Owing to their growing global popularity, health-related applications (apps) offer a promising approach to stroke management but show a knowledge gap regarding mobile apps for stroke survivors. Methods This review was conducted across the Android and iOS app stores in September–December 2022 to identify and describe all apps targeting stroke survivors. Apps were included if they were designed for stroke management and contained at least one of the following components: medication taking, risk management, blood pressure management, and stroke rehabilitation. Apps were excluded if they were unrelated to health, not in Chinese or English, or the targeted users were healthcare professionals. The included apps were downloaded, and their functionalities were investigated. Results The initial search yielded 402 apps, with 115 eligible after title and description screening. Some apps were later excluded due to duplicates, registration problems, or installation failures. In total, 83 apps were included for full review and evaluated by three independent reviewers. Educational information was the most common function (36.1%), followed by rehabilitation guidance (34.9%), communication with healthcare providers (HCPs), and others (28.9%). The majority of these apps (50.6%) had only one functionality. A minority had contributions from an HCP or patients. Conclusion With the widespread accessibility and availability of smartphone apps across the mHealth landscape, an increasing number of apps targeting stroke survivors are being released. One of the most important findings is that the majority of the apps were not specifically geared toward older adults. Many of the currently available apps lack healthcare professionals’ and patients’ involvement in their development, and most offer limited functionality, thus requiring further attention to the development of customized apps.
Online medical consultation in China: Evidence from obesity doctors
Authors: Yu Donglei , Hu Yaolin , Wang Jian , Nicholas Stephen , Maitland Elizabeth 
Published: June 2023

Objective Online medical consultation (OMC) is increasingly used in China, but there have been few in-depth studies of consultation arrangements and fee structures of online doctors in China. This research assessed the consultation arrangements and fee structure of OMC in China by undertaking a case study of obesity doctors from four representative OMC platforms. Methods Detailed information, including fees, waiting time and doctor information, was collected from four obesity OMC platforms and analyzed using descriptive statistical analysis. Results The obesity OMC platforms in China shared similarities in the use of big data and artificial intelligence (AI) but differed across service access, specific consultation arrangements and fees. Big data search and AI response technologies were used by most platforms to match users with doctors and reduce doctors’ pressure. The descriptive statistical analysis showed that the higher the rank of the online doctor, the higher the online fee and the longer the wait time. Through a comparison with offline hospitals, we found online doctors’ fees exceeded offline hospital doctors’ fees by up to 90%. Conclusions OMC platforms can gain competitive advantages over offline medical institutions through the following measures: make fuller use of big data and AI technologies to provide users with longer duration, lower cost and more efficient consultation services; provide better user experience than offline medical institutions; use big data and fee advantages to screen doctors to match users’ consultation needs instead of screening by the rank of doctors only; and cooperate with commercial insurance providers to provide innovative health care packages.
International Spinal Cord Injury Community Survey: Socioeconomic and Healthcare Satisfaction in Spain
Authors: González-Viejo Miguel Angel , Avellanet Merce , Boada-Pladellorens Anna , Montesinos-Magraner Lluïsa , Jaúregui-Abrisqueta María Luisa , Bárbara-Bataller Enrique , Méndez-Ferrer Bosco , Sánchez-Raya Judith , Cívicos Nora , Méndez-Suarez José Luis , Barrera-Chacón Juana María 
Published: June 2023

Study Design Survey study. Objectives People living with spinal cord injury (SCI) are major healthcare and rehabilitation services consumers and have unmet healthcare needs. This study aimed to describe the socioeconomic characteristics of people living with SCI in Spain and to determine the level of use and satisfaction with the public healthcare system. Methods We conducted a survey (the Spanish version of the International Spinal Cord Injury Community Survey) consisting of 134 questions. We analyzed the age, sex, neurological classification of the injury on the American Spinal Injury Association Impairment Scale, time of injury, socio-occupational and socioeconomic status, and level of use and satisfaction with the public health system. Results 472 people responded to the survey [68.9% male; mean age 51.2 years (standard deviation: 13.9 years); 61.7% with paraplegia and 38.3% with tetraplegia]. 89.2% of those surveyed were unemployed and 77.1% received a disability pension. The number of medical visits was 2.3/year, and 19.8% of the patients required at least 1 hospital admission during the previous year. 94.7% of the people with SCI considered the health care received as good or very good. Conclusions Respondents with SCI in Spain considered they had good access to primary and specialized care and were satisfied with the healthcare system. Notably, we observed a high average of annual visits to medical professionals but a low rate of hospitalizations. Technical aids and state services related to disability should be the most important elements to be improved.
Entrepreneurial Competencies in Action: Online Fundraising Initiatives by University Students
Authors: Cooney Thomas M. , Brophy Martina 
Published: June 2023

It has been argued that entrepreneurship educators are inclined to let students learn in a safe controlled environment, with no pressure except to pass the module. Students working in groups of three were given 12 weeks (Target 1) to develop a fundraising initiative, work with various stakeholders, and execute their online fundraising initiative to meet a target goal of €2000 (Target 2) per group. Employing approaches such as Effectuation, Lean Start-Up and the Business Model Canvas, a self-directed learning approach ensured students were able to take ownership of their learning journey with the lecturer acting as coach or facilitator. The learning innovation stems from the highly experiential nature of the assignment, the various deadlines and targets that had to be met throughout the process, the promoted collaboration with real world environments, the introduction of mentors and other support actors, and the successful adaptation of the assignment to an online learning environment. The assignment can be undertaken in an online or offline environment, and it provides a highly practical learning experience that enables students to utilize and develop the 15 entrepreneurship competencies identified in the EntreComp framework under the pressure of meeting time and monetary targets.
WormTensor: a clustering method for time-series whole-brain activity data from C. elegans
Authors: Tsuyuzaki Koki , Yamamoto Kentaro , Toyoshima Yu , Sato Hirofumi , Kanamori Manami , Teramoto Takayuki , Ishihara Takeshi , Iino Yuichi , Nikaido Itoshi 
Published: June 2023

AbstractBackgroundIn the field of neuroscience, neural modules and circuits that control biological functions have been found throughout entire neural networks. Correlations in neural activity can be used to identify such neural modules. Recent technological advances enable us to measure whole-brain neural activity with single-cell resolution in several species including$$Caenorhabditis\ elegans$$Caenorhabditiselegans. Because current neural activity data inC. eleganscontain many missing data points, it is necessary to merge results from as many animals as possible to obtain more reliable functional modules.ResultsIn this work, we developed a new time-series clustering method, , to identify functional modules using whole-brain activity data fromC. elegans. uses a distance measure, modified shape-based distance to account for the lags and the mutual inhibition of cell–cell interactions and applies the tensor decomposition algorithm multi-view clustering based on matrix integration using the higher orthogonal iteration of tensors (HOOI) algorithm (), which can estimate both the weight to account for the reliability of data from each animal and the clusters that are common across animals.ConclusionWe applied the method to 24 individualC. elegansand successfully found some known functional modules. Compared with a widely used consensus clustering method to aggregate multiple clustering results, showed higher silhouette coefficients. Our simulation also showed that is robust to contamination from noisy data. is freely available as an /CRAN packagehttps://cran.r-project.org/web/packages/WormTensor.
Endoplasmic reticulum stress-related gene model predicts prognosis and guides therapies in lung adenocarcinoma
Authors: Song Yuqi , Ma Jianzun , Fang Linan , Tang Mingbo , Gao Xinliang , Zhu Dongshan , Liu Wei 
Published: June 2023

Abstract
Background
The prognosis and survival of lung adenocarcinoma (LUAD) patients are still not promising despite recent breakthroughs in treatment. Endoplasmic reticulum stress (ERS) is a self-protective mechanism resulting from an imbalance in quality control of unfolded proteins when cells are stressed, which plays an active role in lung cancer development, but the relationship between ERS and the pathological characteristics and clinical prognosis of LUAD patients remains unclear.

Methods
LASSO and Cox regression were applied based on sequencing information to construct the model, which was validated to be robust. The risk scores of the patients were calculated using the formula provided by the model, and the patients were divided into high and low-risk groups according to the median cut-off of risk scores. Cox regression analysis identifies independent prognostic factors for these patients, and enrichment analysis of prognosis-related genes was also performed. The relationship between risk scores and tumor mutation burden (TMB), cancer stem cell index, and drug sensitivity was explored.

Results
We constructed a 13-gene prognostic model for LUAD patients. Patients in the high-risk group had worse overall survival, lower immune score and ESTIMATE score, higher TMB, higher cancer stem cell index, and higher sensitivity to conventional chemotherapeutic agents. In addition, we constructed a nomogram that predicts 5-year survival in LUAD patients, which helps clinicians to foresee the prognosis from a new perspective.

Conclusions
Our results highlight the association of ERS with LUAD and the potential use of ERS in guiding treatment.
Evaluation of circulating microRNA profiles in blood as potential candidate biomarkers in a subacute ruminal acidosis cow model - a pilot study
Authors: Ojo O. E. , Hajek L. , Johanns S. , Pacífico C. , Sener-Aydemir A. , Ricci S. , Rivera-Chacon R. , Castillo-Lopez E. , Reisinger N. , Zebeli Q. , Kreuzer-Redmer S. 
Published: June 2023

Abstract
Background
Subacute ruminal acidosis (SARA) is a metabolic disorder often observed in high-yielding dairy cows, that are fed diets high in concentrates. We hypothesized that circulating miRNAs in blood of cows could serve as potential candidate biomarkers to detect animals with metabolic dysbalances such as SARA. MicroRNAs (miRNAs) are a class of small non-coding RNAs, serving as regulators of a plethora of molecular processes. To test our hypothesis, we performed a pilot study with non-lactating Holstein–Friesian cows fed a forage diet (FD; 0% concentrate, n = 4) or a high-grain diet (HG; 65% concentrate, n = 4) to induce SARA. Comprehensive profiling of miRNA expression in plasma and leucocytes were performed by next generation sequencing (NGS). The success of our model to induce SARA was evaluated based on ruminal pH and was evidenced by increased time spent with a pH threshold of 5.8 for an average period of 320 min/d.

Results
A total of 520 and 730 miRNAs were found in plasma and leucocytes, respectively. From these, 498 miRNAs were shared by both plasma and leucocytes, with 22 miRNAs expressed exclusively in plasma and 232 miRNAs expressed exclusively in leucocytes. Differential expression analysis revealed 10 miRNAs that were up-regulated and 2 that were down-regulated in plasma of cows when fed the HG diet. A total of 63 circulating miRNAs were detected exclusively in the plasma of cows with SARA, indicating that these animals exhibited a higher number and diversity of circulating miRNAs. Considering the total read counts of miRNAs expressed when fed the HG diet, differentially expressed miRNAs ( log2 fold change) and known function, we have identified bta-miR-11982, bta-miR-1388-5p, bta-miR-12034, bta-miR-2285u, and bta-miR-30b-3p as potential candidates for SARA-biomarker in cows by NGS. These were further subjected to validation using small RNA RT-qPCR, confirming the promising role of bta-miR-30b-3p and bta-miR-2285.

Conclusion
Our data demonstrate that dietary change impacts the release and expression of miRNAs in systemic circulation, which may modulate post-transcriptional gene expression in cows undergoing SARA. Particularly, bta-miR-30b-3p and bta-miR-2285 might serve as promising candidate biomarker predictive for SARA and should be further validated in larger cohorts.
Goldenhar syndrome complicated with subglottic airway stenosis: a case report
Authors: Xing Fei , Deng Xiao ming , Yang Dong 
Published: June 2023

AbstractBackgroundGoldenhar syndrome is a congenital disease that involves an absence or underdevelopment of structures that arise from the first and second pharyngeal arches and more or less severe extracranial anomalies. A variety of supraglottic malformations may be observed, including mandibular hypoplasia, mandibular asymmetry and micrognathia. Subglottic airway stenosis (SGS), which can cause difficulties in airway management during the perioperative period, is seldom emphasized in literature descriptions of Goldenhar syndrome, but can be clinically significant.Case presentationAn 18-year-old female with a history of Goldenhar syndrome presented for placement of a right mandibular distractor, right retroauricular dilator, and stage I transfer of a prefabricated expanded flap under general anesthesia. During tracheal intubation, the endotracheal tube (ETT) met resistance unexpectantly when attempting to pass through the glottis. Subsequently, we attempted the procedure with a smaller size ETT but again met resistance. With fiberoptic bronchoscope, we found that the whole segment of the trachea and bilateral bronchi were obvious narrow. Given the finding of unexpected severe airway stenosis and the associated risks with proceeding with the surgery, the operation was cancelled. We removed the ETT once the patient was fully awake.ConclusionsAnesthesiologists should be aware of this clinical finding when evaluating the airway of a patient with Goldenhar syndrome. Coronal and sagittal measurements on computerized tomography (CT) and three-dimensional image reconstruction can be used to evaluate the degree of subglottic airway stenosis and measure the diameter of the trachea.
Clinical presentation and angiographic findings of acute myocardial infarction in young adults in Jazan region
Authors: Haider Kamel H. , Alshoabi Sultan Abdulwadoud , Alharbi Ibrahim A. , Gameraddin Moawia , Abdulaal Osamah M. , Gareeballah Awadia , Alsharif Walaa M. , Alhazmi Fahad H. , Qurashi Abdualziz A. , Aloufi Khalid M. , Sayed Ahmed I. 
Published: June 2023

Abstract
Background
There is a paucity of information about the clinical features and angiographic findings in young patients with acute myocardial infarction (MI), especially in the Arab Peninsula countries.

Objective
The aim of this study was to assess the proposed risk factors, clinical presentation, and angiographic findings of acute myocardial infarction in young adults.

Methods
This prospective study included young (range, 18 to 45 years) patients who presented with acute MI based on clinical evaluation, laboratory investigation, and electrocardiogram, and they underwent a coronary angiography procedure.

Key findings
Data of 109 patients with a diagnosis of acute MI were collected. Patients’ mean age was 39.98 ± 7.52 years (range, 31 to 45 years), and 92.7% (101) were male. Smoking was the highest risk factor in 67% of patients, obesity and overweight in 66%, sedentary lifestyle in 64%, dyslipidaemia in 33%, and hypertension in 28%. Smoking was the most common risk factor for acute MI in males (p = 0.009), whereas sedentary lifestyle was the most common risk factor in females (p = 0.028). Chest pain typical of acute MI was the most common presenting symptom in 96% of patients (p < 0.001). On admission, 96% of patients were conscious, and 95% were oriented. On angiography, the left anterior descending artery (LAD) was affected in 57%, the right coronary artery (RCA) was affected in 42%, and the left circumflex artery (LCX) was affected in 32% of patients. The LAD was severely affected in 44%, the RCA was severely affected in 25.7%, and the LCX was severely affected in 19.26% of patients (p < 0.001).

Conclusion
Smoking, obesity, sedentary lifestyle, dyslipidaemia, and hypertension were the most common risk factors for acute MI. Smoking was the most common risk factor in males and sedentary lifestyle in females. The LAD was the most commonly affected coronary artery, followed by the RCA and LCX arteries, with the same order for severity of stenosis.
Age and gender differences of basic electrocardiographic values and abnormalities in the general adult population; Tehran Cohort Study
Authors: Ahmadi Pooria , Afzalian Arian , Jalali Arash , Sadeghian Saeed , Masoudkabir Farzad , Oraii Alireza , Ayati Aryan , Nayebirad Sepehr , Pezeshki Parmida Sadat , Lotfi Tokaldani Masoumeh , Shafiee Akbar , Mohammadi Mohammad , Sanei Elham , Tajdini Masih , Hosseini Kaveh 
Published: June 2023

Abstract
Background
Although several studies are available regarding baseline Electrocardiographic (ECG) parameters and major and minor ECG abnormalities, there is considerable controversy regarding their age and gender differences in the literature.

Methods
Data from 7630 adults aged ≥ 35 from the Tehran Cohort Study registered between March 2016 and March 2019 were collected. Basic ECG parameters values and abnormalities related to arrhythmia, defined according to the American Heart Association definitions, were analyzed and compared between genders and four distinct age groups. The odds ratio of having any major ECG abnormality between men and women, stratified by age, was calculated.

Results
The average age was 53.6 (± 12.66), and women made up 54.2% (n = 4132) of subjects. The average heart rate (HR) was higher among women(p < 0.0001), while the average values of QRS duration, P wave duration, and RR intervals were higher among men(p < 0.0001). Major ECG abnormalities were observed in 2.9% of the study population (right bundle branch block, left bundle branch block, and Atrial Fibrillation were the most common) and were more prevalent among men compared to women but without statistical significance (3.1% vs. 2.7% p = 0.188). Moreover, minor abnormalities were observed in 25.9% of the study population and again were more prevalent among men (36.4% vs. 17% p < 0.001). The prevalence of major ECG abnormalities was significantly higher in participants older than 65.

Conclusion
Major and minor ECG abnormalities were roughly more prevalent in male subjects. In both genders, the odds of having major ECG abnormalities surge with an increase in age.