bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anatomical navigational difficulties in transradial right carotid artery stenting with 7-F Optimo balloon guide catheter
Authors: Arakawa Kei , Harada Kei , Kajihara Masahito , Kiyosawa Ryuichiro , Baba Daichi , Oshima Takatsugu 
Published: August 2024

Objectives Carotid artery stenting (CAS) using a 7-F Optimo balloon guide catheter (BGC) via the right radial artery (RA) was performed for stenosis of the right carotid artery. The factors affecting the difficulty in navigating the BGC from the right RA to the right common carotid artery (CCA) were investigated. Materials and Methods For 40 cases of stenosis of the right carotid artery, CAS using a 7-F Optimo BGC via the right RA was performed. Pre-operative anatomical length and angle of the access route were retrospectively examined. Results The 7-F Optimo BGC successfully reached all lesions; however, navigational difficulties were encountered in seven out of 40 cases (17.5%). One case in the difficult group experienced an ischemic complication. The height from the topmost point of the subclavian artery (SA) to the origin of the SA (SA height) was 44.4 mm versus 28.1 mm ( p < 0.01), and the angle between the SA and the CCA (SA–CCA angle) was 21.6° versus 47.9° ( p < 0.01) in the difficult and easy groups, respectively. For lesions with difficult navigation, the sensitivity and specificity of the SA height >34 mm were 100% and 82%, and the sensitivity and specificity of the SA–CCA angle <30° were 100% and 82%. Conclusions For stenosis of the right carotid artery, transradial-CAS using a 7-F Optimo BGC is a safe procedure. However, navigating the BGC becomes difficult when the SA height is >34 mm and the SA–CCA angle is <30°.
Safety and efficacy of side-by-side versus stent-in-stent stenting for malignant hilar biliary obstruction: a systematic review and meta-analysis
Authors: Zhou Haibin , Khizar Hayat , Ali Ashraf , Yang Jianfeng 
Published: August 2024

Objectives: Stenting of the malignant hilar biliary obstruction (MHBO) area for bile drainage is challenging. Bilateral stenting techniques of stent-in-stent (SIS) and stent-by-stent (SBS) have shown promising results. This study evaluates the efficacy of different stenting methods for MHBO. Design: A meta-analysis was performed to determine the efficacy of SIS and SBS stenting strategies for MHBO. Data sources and methods: Medical databases such as PubMed, Web of Science, Embase, and Scopus, were searched up to August 2023. We selected eligible studies reporting the data on technical and clinical success, adverse events, and incidence of re-obstruction (RO) of SBS and SIS groups in MHBO patients. We compared the outcomes of SBS and SIS groups. Results: A total of 9 studies comparing the data of 545 patients (268 in the SBS group and 277 in the SIS stenting group) were analyzed. There was no significant difference ( p > 0.05) in the odds ratio (OR) of Re-obstruction (RO) 0.87 (95% confidence interval (95% CI) 0.6–1.25), technical success 0.58 (95% CI 0.16–2.11), clinical success 1.13 (95% CI 0.62–2.07), and adverse events 1.53 (95% CI 0.88–2.64). The mean difference in procedure time was −12.25 min (95% CI −18.39, −6.12), and the hazard ratio of stent patency was 1.22 (95% CI 1.01–1.47), favoring SBS, with high heterogeneity ( I2 = 94%). There was no significant difference in HR for survival 1.05 (95% CI 0.95–1.16) with high heterogeneity ( I2 = 84%). Conclusion: Compared with SIS, SBS showed better stent patency with comparable technical and clinical success and adverse events. Prospero registration: The registration number for this study on PROSPERO is CRD42024523230.
Factors associated with antibiotic resistance and survival analysis of severe pneumonia patients infected with Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa: A retrospective cohort study in Jakarta, Indonesia
Authors: Singh Gurmeet , Loho Tonny , Yulianti Mira , Aditianingsih Dita , Zakiyah Laila Fakhriyatuz , Masse Sudirman Fakhruddin , Triono Muhammad Rizki 
Published: August 2024

Background: Antimicrobial resistance is one of the most significant challenges to global public health and the risk factors in severe pneumonia are constantly growing. Therefore, this study aimed to identify factors associated with antimicrobial resistance and conduct survival analysis of severe pneumonia patients with single and multiple pathogens in the National Referral Hospital, Jakarta, Indonesia. Methods: A retrospective method was used, and secondary data were collected from severe pneumonia patients admitted to the intensive care unit at Cipto Mangunkusumo National Referral Hospital, Jakarta, Indonesia, from January 2016 to December 2022. Respiratory specimens were collected through bronchial washing. Furthermore, univariate and multivariate analyses were performed to analyze factors associated with antimicrobial resistance. Kaplan‒Meier survival curves were generated with the log-rank test to compare 30-day mortality between patients infected with single, dual, and multiple pathogens. Results: The results showed that a total of 333 patients from 415 enrolled were analyzed. Klebsiella pneumoniae (35.4%), Acinetobacter baumannii (29.3 %), and Pseudomonas aeruginosa (15.4%) were the most frequently isolated Gram-negative pathogens. Factors associated with resistance to aminoglycoside, carbapenem, and quinolone were sepsis, cerebrovascular disease, and ventilator-associated pneumonia, as indicated by p < 0.05. In addition, the Kaplan–Meier curves showed that multiple pathogens influenced the survival rate of severe pneumonia patients ( p < 0.05). Conclusions: Sepsis, cerebrovascular disease, and ventilator-associated pneumonia were associated with antimicrobial resistance in severe pneumonia patients. The survival rate of patients infected with multiple pathogens was low. This suggests the importance of further awareness regarding empirical antibiotic stewardship and mortality assessment in severe pneumonia patients.
Information needs of people who have suffered a stroke or TIA and their preferred approaches of receiving health information: A scoping review
Authors: Helbach Jasmin , Hoffmann Falk , Hecht Nina , Heesen Christoph , Thomalla Götz , Wilfling Denise , Rahn Anne Christin 
Published: August 2024

Purpose: We aimed to synthesize the information needs of people with stroke (PwS) in recurrent stroke prevention. Methods: In this scoping review we searched Medline (via PubMed), CINAHL, and PsycINFO from inception to June 5, 2023, to identify all studies describing the information needs of people 18 years and older who have suffered a stroke or transient ischemic attack within the past 5 years. We included qualitative and quantitative studies from developed countries published in German or English. Data analysis was performed following Arksey and O’Malley’s methodological framework for scoping reviews. Findings: We screened 5822 records for eligibility and included 36 articles published between 1993 and 2023. None of the included studies used a comprehensive framework or defined information needs. Based on statements from PwS and their caregivers, PwS needed information on treatment, etiology, effects of stroke, prognosis, rehabilitation, discharge, life changes, care role, support options, information sources, and hospital procedures. The most frequently expressed needs were information on the treatment (77.8%) and stroke etiology (63.9%). The primary information source was healthcare professionals (85.7%), followed by written information (71.4%), family and friends (42.6%), and the internet (35.7%), with information provided directly by healthcare professionals being preferred. The timing of information transfer is often described as too early. Conclusion: PwS are primarily interested in clinical information about stroke, for example, treatment and etiology, and less often in information about daily life, for example, rehabilitation, the role of care, or lifestyle changes. PwS prefer to receive information directly from healthcare professionals. Developing a shared understanding of PwS’s information needs is crucial to implement suitable strategies and programs for dealing with these needs in clinical practice.
HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations
Authors: Donthu Ravikiran , Marcelino Jose A. P. , Giordano Rosanna , Tao Yudong , Weber Everett , Avalos Arian , Band Mark , Akraiko Tatsiana , Chen Shu-Ching , Reyes Maria P. , Hao Haiping , Ortiz-Alvarado Yarira , Cuff Charles A. , Claudio Eddie Pérez , Soto-Adames Felipe , Smith-Pardo Allan H. , Meikle William G. , Evans Jay D. , Giray Tugrul , Abdelkader Faten B. , Allsopp Mike , Ball Daniel , Morgado Susana B. , Barjadze Shalva , Correa-Benitez Adriana , Chakir Amina , Báez David R. , Chavez Nabor H. M. , Dalmon Anne , Douglas Adrian B. , Fraccica Carmen , Fernández-Marín Hermógenes , Galindo-Cardona Alberto , Guzman-Novoa Ernesto , Horsburgh Robert , Kence Meral , Kilonzo Joseph , Kükrer Mert , Le Conte Yves , Mazzeo Gaetana , Mota Fernando , Muli Elliud , Oskay Devrim , Ruiz-Martínez José A. , Oliveri Eugenia , Pichkhaia Igor , Romane Abderrahmane , Sanchez Cesar Guillen , Sikombwa Evans , Satta Alberto , Scannapieco Alejandra A. , Stanford Brandi , Soroker Victoria , Velarde Rodrigo A. , Vercelli Monica , Huang Zachary 
Published: August 2024

Abstract
Background
Honey bees are the principal commercial pollinators. Along with other arthropods, they are increasingly under threat from anthropogenic factors such as the incursion of invasive honey bee subspecies, pathogens and parasites. Better tools are needed to identify bee subspecies. Genomic data for economic and ecologically important organisms is increasing, but in its basic form its practical application to address ecological problems is limited.

Results
We introduce HBeeID a means to identify honey bees. The tool utilizes a knowledge-based network and diagnostic SNPs identified by discriminant analysis of principle components and hierarchical agglomerative clustering. Tests of HBeeID showed that it identifies African, Americas-Africanized, Asian, and European honey bees with a high degree of certainty even when samples lack the full 272 SNPs of HBeeID. Its prediction capacity decreases with highly admixed samples.

Conclusion
HBeeID is a high-resolution genomic, SNP based tool, that can be used to identify honey bees and screen species that are invasive. Its flexible design allows for future improvements via sample data additions from other localities.
Optimizing biomedical information retrieval with a keyword frequency-driven prompt enhancement strategy
Authors: Aftab Wasim , Apostolou Zivkos , Bouazoune Karim , Straub Tobias 
Published: August 2024

AbstractBackgroundMining the vast pool of biomedical literature to extract accurate responses and relevant references is challenging due to the domain's interdisciplinary nature, specialized jargon, and continuous evolution. Early natural language processing (NLP) approaches often led to incorrect answers as they failed to comprehend the nuances of natural language. However, transformer models have significantly advanced the field by enabling the creation of large language models (LLMs), enhancing question-answering (QA) tasks. Despite these advances, current LLM-based solutions for specialized domains like biology and biomedicine still struggle to generate up-to-date responses while avoiding “hallucination” or generating plausible but factually incorrect responses.ResultsOur work focuses on enhancing prompts using a retrieval-augmented architecture to guide LLMs in generating meaningful responses for biomedical QA tasks. We evaluated two approaches: one relying on text embedding and vector similarity in a high-dimensional space, and our proposed method, which uses explicit signals in user queries to extract meaningful contexts. For robust evaluation, we tested these methods on 50 specific and challenging questions from diverse biomedical topics, comparing their performance against a baseline model, BM25. Retrieval performance of our method was significantly better than others, achieving a median Precision@10 of 0.95, which indicates the fraction of the top 10 retrieved chunks that are relevant. We used GPT-4, OpenAI's most advanced LLM to maximize the answer quality and manually accessed LLM-generated responses. Our method achieved a median answer quality score of 2.5, surpassing both the baseline model and the text embedding-based approach. We developed a QA bot, WeiseEule (https://github.com/wasimaftab/WeiseEule-LocalHost), which utilizes these methods for comparative analysis and also offers advanced features for review writing and identifying relevant articles for citation.ConclusionsOur findings highlight the importance of prompt enhancement methods that utilize explicit signals in user queries over traditional text embedding-based approaches to improve LLM-generated responses for specialized queries in specialized domains such as biology and biomedicine. By providing users complete control over the information fed into the LLM, our approach addresses some of the major drawbacks of existing web-based chatbots and LLM-based QA systems, including hallucinations and the generation of irrelevant or outdated responses.
Facilitating and limiting factors of cultural norms influencing use of maternal health services in primary health care facilities in Kogi State, Nigeria; a focused ethnographic research on Igala women
Authors: Opara Uchechi Clara , Iheanacho Peace Njideka , Li Hua , Petrucka Pammla 
Published: August 2024

Abstract
Background
Facilitating factors are potential factors that encourage the uptake of maternal health services, while limiting factors are those potential factors that limit women’s access to maternal health services. Though cultural norms or values are significant factors that influence health-seeking behaviour, there is a limited exploration of the facilitating and limiting factors of these cultural norms and values on the use of maternal health services in primary health care facilities.

Aim
To understand the facilitating and limiting factors of cultural values and norms that influence the use of maternal health services in primary healthcare facilities.

Methods
The study was conducted in two primary healthcare facilities (rural and urban) using a focused ethnographic methodology described by Roper and Shapira. The study comprised 189 hours of observation of nine women from the third trimester to deliveries. Using purposive and snowballing techniques, data was collected through 21 in-depth interviews, two focus group discussions comprising 13 women, and field notes. All data was analyzed using the steps described by Roper and Shapira (Ethnography in nursing research, 2000).

Results
Using the enabler and nurturer constructs of the relationships and the expectations domain of the PEN-3 cultural model, four themes were generated: 1, The attitude of healthcare workers and 2, Factors within primary healthcare facilities, which revealed both facilitating and limiting factors. The remaining themes, 3, The High cost of services, and 4, Contextual issues within communities revealed factors that limit access to facility care.

Conclusion
Several facilitating and limiting factors of cultural norms and values significantly influence women’s health-seeking behaviours and use of primary health facilities. Further studies are needed on approaches to harness these factors in providing holistic care tailored to communities' cultural needs. Additionally, reinvigoration and strengthening of primary health facilities in Nigeria is critical to promoting comprehensive care that could reduce maternal mortality and enhance maternal health outcomes.
Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis
Authors: Feher Gergely , Kapus Krisztian , Tibold Antal , Banko Zoltan , Berke Gyula , Gacs Boroka , Varadi Imre , Nyulas Rita , Matuz Andras 
Published: August 2024

AbstractBackgroundBurnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, and overall diminished well-being. The machine learning-based prediction of burnout has therefore become the focus of recent research. In this study, the aim was to detect burnout using machine learning and to identify its most important predictors in a sample of Hungarian high-school teachers.MethodsThe final sample consisted of 1,576 high-school teachers (522 male), who completed a survey including various sociodemographic and health-related questions and psychological questionnaires. Specifically, depression, insomnia, internet habits (e.g. when and why one uses the internet) and problematic internet usage were among the most important predictors tested in this study. Supervised classification algorithms were trained to detect burnout assessed by two well-known burnout questionnaires. Feature selection was conducted using recursive feature elimination. Hyperparameters were tuned via grid search with 10-fold cross-validation. Due to class imbalance, class weights (i.e. cost-sensitive learning), downsampling and a hybrid method (SMOTE-ENN) were applied in separate analyses. The final model evaluation was carried out on a previously unseen holdout test sample.ResultsBurnout was detected in 19.7% of the teachers included in the final dataset. The best predictive performance on the holdout test sample was achieved by random forest with class weigths (AUC = 0.811; balanced accuracy = 0.745, sensitivity = 0.765; specificity = 0.726). The best predictors of burnout were Beck’s Depression Inventory scores, Athen’s Insomnia Scale scores, subscales of the Problematic Internet Use Questionnaire and self-reported current health status.ConclusionsThe performances of the algorithms were comparable with previous studies; however, it is important to note that we tested our models on previously unseen holdout samples suggesting higher levels of generalizability. Another remarkable finding is that besides depression and insomnia, other variables such as problematic internet use and time spent online also turned out to be important predictors of burnout.
Identifying metabotypes of insulin resistance severity in children with metabolic syndrome
Authors: González-Domínguez Álvaro , Domínguez-Riscart Jesús , Savolainen Otto , Lechuga-Sancho Alfonso , Landberg Rikard , González-Domínguez Raúl 
Published: August 2024

Abstract
Background
Insulin resistance is a frequent precursor of typical obesity and metabolic syndrome complications. However, accurate diagnosis remains elusive because of its pathophysiological complexity and heterogeneity. Herein, we have explored the utility of insulin secretion dynamics in response to an oral glucose tolerance test as a surrogate marker to identify distinct metabotypes of disease severity.

Methods
The study population consisted of children with obesity and insulin resistance, stratified according to the post-challenge insulin peak timing (i.e., early, middle, and late peak), from whom fasting and postprandial plasma and erythrocytes were collected for metabolomics analysis.

Results
Children with late insulin peak manifested worse cardiometabolic health (i.e., higher blood pressure, glycemia, and HOMA-IR scores) than early responders. These subjects also showed more pronounced changes in metabolites mirroring failures in energy homeostasis, oxidative stress, metabolism of cholesterol and phospholipids, and adherence to unhealthy dietary habits. Furthermore, delayed insulin peak was associated with impaired metabolic flexibility, as reflected in compromised capacity to regulate mitochondrial energy pathways and the antioxidant defense in response to glucose overload.

Conclusions
Altogether, these findings suggest that insulin resistance could encompass several phenotypic subtypes characterized by graded disturbances in distinctive metabolic derangements occurring in childhood obesity, which serve as severity predictive markers.
Experience Sampling as a dietary assessment method: a scoping review towards implementation
Authors: Verbeke Joke , Matthys Christophe 
Published: August 2024

Abstract
Background
Accurate and feasible assessment of dietary intake remains challenging for research and healthcare. Experience Sampling Methodology (ESM) is a real-time real-life data capturing method with low burden and good feasibility not yet fully explored as alternative dietary assessment method.

Methods
This scoping review is the first to explore the implementation of ESM as an alternative to traditional dietary assessment methods by mapping the methodological considerations to apply ESM and formulating recommendations to develop an Experience Sampling-based Dietary Assessment Method (ESDAM). The scoping review methodology framework was followed by searching PubMed (including OVID) and Web of Science from 2012 until 2024.

Results
Screening of 646 articles resulted in 39 included articles describing 24 studies. ESM was mostly applied for qualitative dietary assessment (i.e. type of consumed foods) (n = 12), next to semi-quantitative dietary assessment (i.e. frequency of consumption, no portion size) (n = 7), and quantitative dietary assessment (i.e. type and portion size of consumed foods) (n = 5). Most studies used ESM to assess the intake of selected foods. Two studies applied ESM as an alternative to traditional dietary assessment methods assessing total dietary intake quantitatively (i.e. all food groups). ESM duration ranged from 4 to 30 days and most studies applied ESM for 7 days (n = 15). Sampling schedules were mostly semi-random (n = 12) or fixed (n = 9) with prompts starting at 8–10 AM and ending at 8–12 PM. ESM questionnaires were adapted from existing questionnaires, based on food consumption data or focus group discussions, and respond options were mostly presented as multiple-choice. Recall period to report dietary intake in ESM prompts varied from 15 min to 3.5 h.

Conclusions
Most studies used ESM for 7 days with fixed or semi-random sampling during waking hours and 2-h recall periods. An ESDAM can be developed starting from a food record approach (actual intake) or a validated food frequency questionnaire (long-term or habitual intake). Actual dietary intake can be measured by ESM through short intensive fixed sampling schedules while habitual dietary intake measurement by ESM allows for longer less frequent semi-random sampling schedules. ESM sampling protocols should be developed carefully to optimize feasibility and accuracy of dietary data.