bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Using Simulator and Video-assisted Teaching on the Acquisition of Blood Pressure Measurement Skills: a Quasi̇-experi̇mental Study
Authors: CERKEZOGLU NILAY , OZDEMIR HANDAN 
Published: July 2024

Abstract

Background: Blood pressure assessment, which is widely used in clinical practices, is an important practice that is under the responsibility of the nurse. Blood pressure measurement is also one of the most important indicators affecting nursing practices and many medical decisions during the evaluation of the health of the society.
Methods: The study was aimed at investigating the effect of teaching performed with the blood pressure measurement-training simulator and video education on nursing students’ blood pressure measuremet skill levels. The study was designed as a randomized controlled quasi-experimental study. Recruited 62 students who were assigned to the experimental (n = 31) and control (n = 31) groups using the simple random sampling method. The experimental group received blood pressure measurement skills training on the blood pressure measurement simulator, and the control group received the same training on a video.
Results: In the study, the mean scores in the control group were 27.84 for psychomotor skills, 6.55 for self-confidence. The mean scores in the experimental group were 34.06 for psychomotor skills, 7.84 for self-confidence.
Conclusion: The results show that the students learning with the simulator showed better learning performance than those who received the video method. However, both learning methods increased students' measurement skills.
Multi-task MSSP model can accurately predict selective Src inhibitors
Authors: Tian Xuecong , Han Luyang , Su Ying , Sun Haiqing , Zhang Sizhe , Chen Chen , Chen Cheng , Li Chen xi , Lv Xiaoyi , Li Jinyao 
Published: July 2024

Abstract

Src family kinases (SFKs), non-receptor tyrosine kinases, crucially contribute to invasion, tumor progression, epithelial-mesenchymal transition, angiogenesis, and metastasis. Thus, Src inhibitors offer a promising avenue for cancer therapy. This study introduced a multitask MSSP deep learning model to predict molecule inhibitory activity across multiple Src subtypes. Comparative assessment against four traditional machine learning methods—Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), eXtreme Gradient Boosting (XGBoost)—established the superior performance of the multitask MSSP model. It demonstrated the best comprehensive performance, achieving F1-Score and AUC values of 0.906 and 0.975, respectively. An online web server, "SRC-Predictor," was created to aid the practical application of the multitask MSSP model, predicting compounds' potential inhibitory activity against Src. Finally, compounds ranking in the top twenty based on model predictions were selected for experimental validation. Literature search for these compounds revealed limited research on four of them concerning Src. Molecular docking identified Doramapimod as exhibiting better affinity towards Src compared to reference compounds. It significantly inhibited Lyn kinase activity and influenced the secretion levels of inflammatory factors in LPS-induced macrophages. Experimental validation confirmed that our study provides a novel approach for identifying and screening lead compounds as Src inhibitors.
Exploring Polypharmacy and Drug Interactions in Geriatric Patients: A Cross-Sectional Study from India
Authors: Khaiser Umaima Farheen , Sultana Rokeya , Das Ranajit , Fareed Mohammad , Abullais Shahabe Saquib , Alahmari Manea M , Chaudhary Anis Ahmad , Shahid Mohammad , Alzahrani Saeed G. 
Published: July 2024

Abstract

Background Polypharmacy and potential drug-drug interactions (pDDIs) present challenges in managing elderly individuals with multiple comorbidities. Understanding their prevalence and associated factors is vital for enhancing medication safety and therapeutic outcomes. Objective This study aimed to assess the prevalence of polypharmacy and pDDIs among elderly individuals aged 60 years and above at Yenepoya Medical College and Hospital. Methods A prospective observational study was conducted at the hospital's in-patient and out-patient wards following ethics committee approval. Patient records were reviewed, and prescriptions were screened for pDDIs using Medscape and UpToDate. SPSS 26.0 analyzed data to identify polypharmacy patterns and characterize pDDIs. Results Predominantly older adults participated (mean age approximately 70.25 years), with notable polypharmacy prevalence, especially among in-patients. Gender disparities were evident, with females receiving more medications on average (p = 0.036). Moderate (50%) interactions were most common among various severity levels. Age correlated positively (r = 0.897) with prescribed medications, but age categories showed no significant association with drug interactions (p > 0.05). However, a significant relationship existed between prescribed medication quantity and drug interaction prevalence (p = 4.77e-05). Conclusion The study highlights the prevalence of polypharmacy and potential drug-drug interactions among elderly individuals, emphasizing the challenges in medication management. We found a significant prevalence of polypharmacy, particularly in older adults with complex health conditions, and observed a pervasive nature of moderate drug interactions.
Comparative analysis of the efficacy of drip drainage surgery and bone cement placement surgery in the treatment of haematogenous osteomyelitis of the extremities
Authors: Wang Hu , Lu Shuaikun , Luo Wen , Fu Congxiao , Gao Hao , Wang Guoliang , Zhu Zhenfeng , Liu Wei , Liu Chuan , Ren Jun , Liu Xiang , Zhang Yong , Zhang Yunfei 
Published: July 2024

Abstract

Background: The classical surgical treatment for hematogenous osteomyelitis is debridement and drip drainage surgery, and in recent years, antibiotic bone cement placement surgery has gradually gained widespread use.
Method: Information on 129 Hematogenic osteomyelitis (HO) patients, 67 treated with bone cement placement surgery and 62 with drip drainage surgery, was collected from January 2015 to January 2023. Baseline data, osteomyelitis classification, and clinical regression were compared between the two groups, with a mean follow-up of 2 years.
Result: Bone cement placement surgery had a higher infection control rate than drip drainage surgery (94% vs. 82.3%, P<0.001), and the EuroQol five-dimensional questionnaire (EQ-5D-3L)effect value was higher (0.763±0.29 vs. 0.717±0.42, P = 0.192). The efficacy of drip drainage surgery for Acute Hematogenic Osteomyelitis (AHO) was greatly improved, and the overall infection control rate was increased from 82.3% to 93.1%, which was even slightly higher than that of bone cement placement surgery (P = 0.452); bone cement placement surgery had a higher rate of infection control in chronic patients (94.5% vs. 72.7%, P = 0.004) and was more effective in treating metaphyseal focal osteomyelitis (97.5% vs. 71.4%, P = 0.002). The use of calcium sulfate calcium phosphate complex (CS/CP) was superior to polymethylmethacrylate (PMMA) (100% vs. 88.69%, P<0.001).
Conclusion: Bone cement placement surgery is recommended for the treatment of HO; drip drainage surgery is only indicated for AHO with long marrow cavity lesions; and CS/CP bone cement is preferred to PMMA, which requires a second removal to achieve good results because failure to remove it predisposes to recurrence of osteomyelitis.
Development and Performance Analysis of Machine Learning Methods for Predicting the Occurrence of Constipation and its Risk Factors Responsible Among College Going Girl
Authors: Ghosh Joyeta , Sanyal Poulomi 
Published: July 2024

Abstract

The study aimed to determine the most useful model for predicting functional constipation (FC) among college-bound girls in Kolkata by evaluating the applicability of multiple models and assessing the forecasting accuracy of prediction methods, such as regression-based and machine learning models.The observational descriptive study involved 300 college girls aged 18–25 from Kolkata, randomly selected via social media. Data were collected through an online questionnaire, and 19 attributes were selected for the prediction study. Weka version 3.8.0 software was used for predictive modeling, performance analysis, and building an FC prediction system. The data were divided into 70% training and 30% test datasets for each investigation. The results showed that 96.00% of instances were correctly classified, with a Kappa value of 0.875, a root mean squared error of 0.19, and an accuracy of 96.3%. The model achieved a weighted precision of 96%, 96% true positives, 0.05% false positives, an F-measure of 0.961, and an ROC curve of 0.994. Surprisingly, all six evaluators predicted Bristol's Stool Consistency Scale as the number one predictor of FC among college-going girls, followed by "Pain and discomfort in the abdomen" as the second predictor. In conclusion, this machine learning model-based automated approach for predicting functional constipation can assist medical professionals in identifying younger individuals more likely to experience constipation.
Risk for ventral hernia related to parity: A populationbased register study
Authors: Katawazai Asmatullah , Pettersson Hans , Wallin Göran , Sandblom Gabriel 
Published: July 2024

Abstract

Introduction: The association between pregnancy and risk for ventral hernia recurrence is not clear. This study aims to assess (1) the incidence of ventral hernia in women, and (2) whether increasing parity is associated with a greater risk for developing ventral hernia. Method: This nationwide cohort study included women born 1950–1980 who were registered in the Swedish Birth Register (MBR). Data on pregnancies and vaginal or caesarian section were retrieved from the Birth Register. The cohort was cross-matched with the National Patient Register (NPR) to identify subsequent primary hernia repairs. Result: A total of 1,630,754 women born between 1950 and 1980 were included in the study. Among them, 1,588,609 (92.3%) were registered for at least one birth. The incidence rate for Umbilical Hernia Repair (UHR) and Epigastric Hernia Repair (EHR) was 13.21 per 100,000 person-years and 5.4 per 100,000 person-years, respectively. When compared with women registered for one delivery, the incidence rate ratio for UHR was higher among those with two deliveries registered (1.3, 95% CI: 1.26–1.33) and among those registered with ≥ 3 deliveries (1.6, 95% CI: 1.58–1.68). The incidence rate ratios were (1.29, 95% CI: 1.20–1.39) and 1.34 (1.34, 95% CI: 1.24–1.45) for EHR among women with two and ≥ 3 registered deliveries, respectively. Conclusion: A history of more than one pregnancy is associated with increased incidences of umbilical and epigastric hernias.
Ridge slope failure mode analysis using strength reduction method based on double shear unified strength criterion
Authors: Wang Jianxiu , Liu Pengfei , Si Pengfei , Cao Ansheng , Long Yanxia , Li Huboqiang 
Published: July 2024

Abstract

Intermediate principal stress (IPS) may influence the stability of a slope under three-dimensional (3D) failure modes. However, the influence of IPS is seldom considered in slope stability evaluation. In this study, the 3D stability and failure mode of a ridge slope is analyzed by considering the influence of IPS. The mathematical model of double-shear unified strength theory was established using the UMAT subroutine in the Abaqus software. The influence of IPS on the deformation and damage modes of the homogeneous ridge slope was studied using strength reduction method. The results calculated by the Mohr-Coulomb strength criterion were very close to those the unified strength UMAT subroutine. Both have a safety coefficient of approximately 1.6. When the IPS coefficient b was 0, the safety factor was 6.95. And when the IPS coefficient increased to 0.2, the stability factor of the double-sided ridge slope was 9.44. The slop stability was enhanced obviously due to the existence of the IPS. After the excavation of the ridge side slope, the rock mass of ridge slope was not failure easily at the ridge line of the double-sided ridge slope. However, the rock mass at the side of the flank was prone to cracking damage. Moreover, the rock mass was prone to extrusion failure at the foot of the double-sided ridge slope. The calculations provide a new method and knowledge on the concrete evaluation of the failure and stability of a slope.
A Familial Chromosome 4p16.3 Terminal Microdeletion That Does Not Cause Wolf-Hirschhorn (4p-) syndrome
Authors: Osundiji Mayowa Azeez , Kahn Eva , Lanpher Brendan 
Published: July 2024

Abstract

Chromosome 4p16.3 microdeletions are known to cause Wolf–Hirschhorn syndrome (WHS), which is characterized by a distinct craniofacial gestalt and multiple congenital malformations. The 4p16.3 region encompasses WHS critical region 1 (WHSCR1) and 2 (WHSCR2). The WHSCR contains several genes that have been implicated in the WHS phenotype including: WHS candidate 1 [WHSC1(aka NSD2, OMIM 602952)], WHS candidate 2 [WHSC2 (aka NELFA, OMIM 606026)], and LETM1 (OMIM 604407). Although several patients harboring 4p16.3 microdeletions that are associated with WHS phenotypes have been reported, the precise molecular underpinnings of WHS are subjects of active investigations. The potential role(s) of genes within the 4p16.3 are increasingly being investigated. Here we report the first documented case of 4p16.3 terminal microdeletion that is not associated with the characteristic WHS phenotype. We studied Individual A (7-months-old female) and her father, Individual B (27-year-old), who both carry a terminal 4p16.3 microdeletion (about 555kb) that is distal to the WHSCR [(WHSCR1) and (WHSCR2)], and does not include WHSC1, WHSC2, or LETM1. Overall, our findings expand the phenotypic spectrum associated with 4p16.3 microdeletions and suggest that, in some individuals, microdeletions within 4p16.3 region may not be sufficient to cause WHS.
A study of maxillary sinus volume in Han Chinese adults with unilateral cleft lip and palate
Authors: Gao Ming , Tao Yongwei , Bi Sisi , Li Jinfeng , Xin Xiaomin , Ren Zhanping 
Published: July 2024

Abstract

Objective
This study aimed to evaluate maxillary sinus volume in Han Chinese adults with unilateral cleft lip and palate.
Methods
The maxillary sinus volumes of 50 Han Chinese adult unilateral cleft lip and palate (UCLP) patients and 53 age- and sex-matched control (non-cleft) individuals were measured on CT three-dimensional reconstructed images using Mimics software, and the results were compared and analyzed.
Results
1. There was no statistically significant difference in the maxillary sinus volume between the cleft side and the non-cleft side in the UCLP group (P > 0.05). 2. There was no statistically significant difference in the volume of the left and right maxillary sinuses between the two groups (P > 0.05).3. The left and right maxillary sinus volume of male in the UCLP group was significantly higher than that of the female group (P < 0.05).4. There was a significant correlation between left and right maxillary sinus volume in UCLP group (P < 0.05).
Conclusion
There was no significant difference in maxillary sinus volume between Han Chinese adult patients with unilateral cleft lip and palate and healthy adults, nor was there a significant difference in maxillary sinus volume between the cleft side and the non-cleft side of cleft lip and palate patients. However, the maxillary sinus volume of male patients was significantly larger than that of female patients. The presence of unilateral cleft lip and palate had no significant effect on maxillary sinus volume in Han Chinese adults.
SCC-NET: Segmentation of Clinical Cancer image for Head and Neck Squamous Cell Carcinoma
Authors: Huang Chien Yu , Tsai Cheng-Che , Hwang Lisa Alice , Kang Bor-Hwang , Lin Yaoh-Shiang , Su Hsing-Hao , Shen Guan‐Ting , Hsieh Jun-Wei 
Published: July 2024

Abstract

Background: Head and neck cancer predominantly originates from the mucosal layer of the upper aerodigestive tract, with squamous cell carcinoma representing the majority of cases. Therefore, a comprehensive oral and upper aerodigestive tract endoscopy examination serves as the primary diagnostic method for these cancers. While deep learning, particularly in computer vision, has been extensively researched for lesion segmentation in various diagnostic endoscopies such as colon polyps and gastric lesions, there have been limited reports on deep learning algorithms specifically tailored for segmenting head and neck squamous cell carcinoma.
Methods: This study comprises a case series investigating artificial intelligence algorithms, focusing on head and neck squamous cell carcinoma (HNSCC) endoscopic images captured between 2016 and 2020. The images were sourced from the Department of Otolaryngology-Head and Neck Surgery at Kaohsiung Veterans General Hospital, a tertiary medical center in southern Taiwan. All photos were rigid endoscopy documentation of tumors histologically confirmed as SCC through biopsy or surgical excision. Importantly, these tumors were captured at the initial presentation of the disease, prior to any surgical or chemo-radiotherapy intervention.
We introduce a novel modification of the Neural Architecture Search (NAS) - U-Net-based model, termed SCC-Net, tailored for segmenting the enrolled endoscopic photos. This modification incorporates a new technique termed "Learnable Discrete Wavelet Pooling," which devises a new formulation by combining outputs from different layers using a channel attention module, assigning weights based on their importance in information flow. Additionally, we integrated the cross-stage-partial design from CSPnet. To evaluate performance, we compared SCC-Net with eight other state-of-the-art image segmentation models.
Results: We collected a total of 556 pathologically confirmed SCC photos of oral cavity, oropharynx, hypopharynx and glottis. The new SCC-Net algorithm achieves high mean Intersection over Union (mIOU) of 87.2%, accuracy of 97.17%, and recall of 97.15%. When comparing the performance of our proposed model with 8 different state-of-the-art image segmentation artificial neural network models, our model performed best in mIOU, DSC, accuracy and recall.
Conclusions: Our proposed SCC-Net architecture successfully segmented lesions from white light endoscopic images with promising accuracy, demonstrating consistent performance across all upper aerodigestive tract areas.
A Propensity-Score Weighted Analysis of Short-Term Corticosteroid Therapy for Refractory Pain Following Spontaneous Subarachnoid Hemorrhage
Authors: Kardon Adam , Kim Dowon , Ren Haoyu , Jaffa Matthew N. , Elsaesser Dina , Armahizer Michael , Busl Katharina M. , Badjatia Neeraj , Parikh Gunjan , Ciryam Prajwal , Simard J. Marc , Chen Chixiang , Morris Nicholas A. 
Published: July 2024

Abstract

Background and Objectives Corticosteroids are prescribed for refractory headache in patients with spontaneous subarachnoid hemorrhage (SAH) despite limited supporting evidence. We hypothesized that a short course of corticosteroids would reduce pain.
Methods We reviewed all patients who received corticosteroids for refractory headache following spontaneous SAH within our institutional database. Pain was measured by a numeric rating scale (NRS) every two hours. The primary outcome was maximum daily NRS; secondary outcomes were the mean daily NRS and daily opioid consumption. Propensity scores were developed using potential predictors of corticosteroid use, including age, sex, pre-treatment 24-hour pain burden, and the number of analgesics being used to control pain. Inverse probability treatment weighting (IPTW) was used to balance baseline covariate distributions between patients receiving corticosteroids and control patients. Generalized estimating equations were used to analyze longitudinal NRS and oral morphine equivalents based on the weighted cohort.
Results A total of 213 patients were included; mean (SD) age was 55 (13) years, 141/213 (66%) were female. 195/213 (92%) had a low clinical grade (i.e., Hunt-Hess 1-3). Seventy patients received corticosteroids prescribed on average on post-bleed day 5 (SD 3.3) with an average of 26 (SD 10) mg of dexamethasone over 48 hours. Patients receiving corticosteroids and controls were well balanced on baseline predictors of treatment status. After IPTW, we found that corticosteroid therapy reduced daily maximum pain NRS by 0.59 (SE=0.39, p=.12), 0.96 (SE =0.42, p=.02) and 0.91 (SE=0.46, p=.048) on days 1-3, respectively, after adjusting for control effects. The mean daily pain NRS and daily opioid use were non-significantly reduced in the three days following corticosteroid initiation after adjusting for control effects.
Conclusion Short term corticosteroids only slightly reduced maximum pain severity after spontaneous SAH. Other analgesic strategies are required to manage refractory pain in this population.
Assessing Healthcare Pathway through patient experience with Completing Cancer Treatment Incentive (CCTI) Program for Low-Income Populations in Malaysia
Authors: Halim Nur Hidayati Abdul , Zainuddin Nur Azmiah , Aminuddin Farhana , Naserruddin Nurul Athirah , Hassan Nor Zam Azihan Mohd 
Published: July 2024

Abstract

Background
Cancer diagnosis imposes a significant economic burden on healthcare systems, patients, and their families. Technological advancements in cancer detection and treatment, leading to improved cancer detection rates and increased treatment uptake, have intensified this burden particularly among the economically disadvantaged. Despite efforts like universal health coverage and financial assistance programs, challenges persist in addressing the financial impact of cancer on patients.
Methods
Using qualitative methods, the study explores cancer patients’ experiences with the Completing Cancer Treatment Incentive (CCTI) in Malaysia. Interviews were conducted with both CCTI recipients and non-applicants from eight public hospitals. The RE-AIM framework was employed to evaluate dimensions such as reach, adoption, and implementation.
Results
Patients’ awareness of CCTI varied, with recipients mostly informed through acquaintances, media, or healthcare providers. Non-recipients lacked awareness, with limited information provided by healthcare personnel. CCTI was viewed positively by recipients, particularly for easing transportation costs, but challenges in the application process were evident. Patients faced difficulties navigating complex procedures, redundant health screenings, and limited communication about application progress.
Conclusions
The study highlights the need for improved implementation of CCTI to mitigate financial burdens on low-income cancer patients. Simplifying application processes, enhancing information dissemination, and addressing challenges such as redundant health screenings are crucial. The findings underscore the importance of proactive measures in policy implementation to improve CCTI effectiveness and accessibility for low-income cancer patients.