bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘I want to know that it’s worth me attending’: A qualitative analysis of consumers’ decisions not to attend their chronic pain group education session
Authors: Searle Amelia K , Wall Cindy L , Tan Celia , Herriot Peter 
Published: February 2025

Background: Many pain clinics encourage/mandate attendance at introductory group pain education sessions. Despite high non-attendance rates, no studies have examined consumer-reported reasons for non-attendance. Purpose: The aim of this study was to better understand why consumers fail to attend their pain education session. Research Design and Study Sample: We attempted to contact all non-attendees of our South Australian tertiary pain unit’s group pain education sessions from February–August 2020. Of the 23 we could reach, 10 completed semi-structured telephone interviews. Data Analysis: Audio-recordings were transcribed verbatim and subject to thematic content analysis. Results: ‘Attendance barriers’ themes highlighted the complex lives of non-attendees. Pain prevented them from leaving their house, deterred them from travel to, and sitting through, the entire session. Competing responsibilities including other medical appointments and comorbidities were commonly mentioned. Most explicitly stated their dislike for the group format. Other factors included fear of the unknown nature of the session, not wanting education, and wanting a doctor’s appointment. Several participants expressed a distrust of medical professionals, and perceived the benefits of attending as not exceeding the perceived time, money and pain associated. Conclusions: Pain management may not be individuals’ main priority and attendance may only occur when other personal issues are addressed. Significant non-attendance rates may be unavoidable. Providing additional session detail may reduce misconceptions and allay concerns. Educating referring GPs may assist consumers to make an informed decision regarding attending. Online sessions may address various barriers and prove a more cost-effective alternative. Perspective This article examines consumers’ reasons for non-attendance at pre-clinic group education programs. Findings could be used by Pain Units to shape patient and GP communications regarding such programs, as well as program content and format, to improve patient acceptance and program attendance, and potentially engagement with self-management.
Data governance and open sharing in the fields of life sciences and medicine: A bibliometric analysis
Authors: Qiu Yanrui , Hu Zhimin 
Published: February 2025

Objective This study aims to conduct a bibliometric analysis of literature related to data governance and open sharing in the fields of life sciences and medicine, so as to clarify the characteristics of publications and explore research hotspots and trends. Methods A total of 2529 valid documents published in the Web of Science Core Collection database from 2000 to 2024 were included in this study. VOSviewer was used for co-occurrence analysis, while CiteSpace was employed for clustering, burst detection, and thematic evolution analysis. Results Between 2000 and 2024, the number of studies on data governance and open sharing in the fields of life sciences and medicine has increased annually, indicating the growing importance of research in this area. The USA led as the country with the most research output in this field. The University of Oxford was the institution with the highest publication volume, Amy L. McGuire was the most active author, and the Journal of Medical Internet Research and the Journal of the American Medical Informatics Association were the most frequent publication outlets. The most cited reference was ‘Comment: The FAIR Guiding Principles for Scientific Data Management and Stewardship’. Conclusions Topics such as the FAIR principles, ethical issues, public attitudes toward data sharing, data quality, databases, and big data analysis techniques are hotspots in this field. Potential research frontiers include the FAIR principles, data quality, public trust and attitudes toward data sharing, the application of artificial intelligence technology in data governance and sharing, governance and sharing of epidemiological and public health data, governance and sharing of data on chronic diseases such as diabetes, and the construction of data governance models.
Evaluating Elastographic Tendon Stiffness as a Predictor of Return to Work and Sports After Primary Rotator Cuff Repair
Authors: Maloof Alexander G. , Hackett Lisa , Bilbrough James , Hayek Christyon , Murrell George A.C. 
Published: February 2025

Background: Despite many patients not returning to their preoperative levels of work and sports after primary rotator cuff repair, few studies have investigated the association between findings on postoperative imaging and patients returning to work and sports. Shear wave elastography ultrasound (SWEUS) is a recent technology that quantifies the stiffness of healing repaired cuff tendons. Hypothesis: Stiffer repaired cuff tendons that reflect improved healing would be associated with improved return to work and sports. Study Design: Cohort study; Level of evidence, 2. Methods: This was a prospective cohort study of 50 patients undergoing primary arthroscopic rotator cuff repair. Preoperatively, all patients completed a questionnaire ranking their level of sports and work activity on a 4-point Likert scale. At 8 days, 6 weeks, 12 weeks, 6 months, and 1 year postoperatively, patients reported their current levels of sports and work on the same scale and had SWEUS stiffness measurements taken at 3 points along their repaired tendons. Results: The elastographic stiffness of supraspinatus tendons at their repaired insertion sites increased by a mean of 22% over 12 months ( P = .0001). Elevated supraspinatus tendon stiffness at 6 weeks and 12 weeks was associated with return to sports at 12 months ( r = 0.46; P = .003 and r = 0.39; P = .01), and tendon stiffness at 12 weeks and 6 months was associated with return to work at 12 months ( r = 0.49; P = .001 and r = 0.46; P = .003). Patients returning to sports ( r = 0.46; P = .003) and work ( r = 0.49; P = .001) were most strongly associated with SWEUS stiffness 12 weeks after cuff repair. Conclusion: The elastographic stiffness of a healing repaired supraspinatus tendon is moderately associated with improved return to work and sports 12 months after rotator cuff repair. Tendon stiffness at 12 weeks postrepair was the most critical timepoint in predicting both return to work and sports at 12 months postrepair.
Active Control Method for Frequency Domain Error of Aerostatic Spindle Based on Acoustic Levitation
Authors: Chen Guoda , Chen Zhaoshou , Ge Yifan 
Published: February 2025

Abstract
In the machining of high-end optical components, the aerostatic spindle error of an ultra-precision machine tool has a significant impact on the surface quality of the machined surfaces. The surfaces of many high-end optical components need to meet the extremely stringent requirements of the full-frequency band error, which poses significant challenge to the control of the aerostatic spindle error. In this research, we put forward an active control method for the frequency domain error of the aerostatic spindle based on acoustic levitation, in which the acoustic-magnetism-fluid-solid multi-field coupling rotor dynamics modeling method of the aerostatic spindle was proposed and the corresponding multi-field coupling model was established. Through the numerical simulation and preliminary experiments, the influence law of acoustic levitation on the frequency domain error of the aerostatic spindle is obtained. The results showed that acoustic levitation can be used to control the frequency domain error of the aerostatic spindle to some extent, which verified the effectiveness of the proposed method.
Using deep learning to differentiate among histology renal tumor types in computed tomography scans
Authors: Kan Hung-Cheng , Lin Po-Hung , Shao I-Hung , Cheng Shih-Chun , Fan Tzuo-Yau , Chang Ying-Hsu , Huang Liang-Kang , Chu Yuan-Cheng , Yu Kai-Jie , Chuang Cheng-Keng , Wu Chun-Te , Pang See-Tong , Peng Syu-Jyun 
Published: February 2025

Abstract

Background
This study employed a convolutional neural network (CNN) to analyze computed tomography (CT) scans with the aim of differentiating among renal tumors according to histologic sub-type.

Methods
Contrast-enhanced CT images were collected from patients with renal tumors. The patient cohort was randomly split to create a training dataset (90%) and a testing dataset (10%). Following image dataset augmentation, Inception V3 and Resnet50 models were used to differentiate between renal tumors subtypes, including angiomyolipoma (AML), oncocytoma, clear cell renal cell carcinoma (ccRCC), chromophobe renal cell carcinoma (chRCC), and papillary renal cell carcinoma (pRCC). 5-fold cross validation was then used to evaluate the models in terms of classification performance.

Results
The study cohort comprised 554 patients, including those with angiomyolipoma (n = 67), oncocytoma (n = 34), clear cell renal cell carcinoma (n = 246), chromophobe renal cell carcinoma (n = 124), and papillary renal cell carcinoma (n = 83). Dataset augmentation of the training dataset included this to 4238 CT images for analysis. The accuracy of the models was as follows: Inception V3 (0.830) and Resnet 50 (0.849).

Conclusion
This study demonstrated the efficacy of using deep learning models for the classification of renal tumor subtypes from contrast-enhanced CT images. While the models showed promising accuracy, further development is necessary to improve their clinical applicability.
Establishing a minimum passing score for the rating scale in simulation training for surfactant administration using the LISA procedure
Authors: Rostoker Hélène , Guillois Bernard , Caradec Amaya , Chollat Clément 
Published: February 2025

Abstract

Introduction
In a previous study, a rating scale for simulation training on surfactant administration using the LISA (Less Invasive Surfactant Administration) procedure was developed and validated. Our objective was to determine a minimum passing score for this rating scale to use it so that it could be used for normative and certifying evaluation.

Methods
The LISA scale comprises 8 categories and 25 items. It was developed and agreed upon by a panel of 12 LISA procedure experts, and subsequently validated through simulation sessions involving 40 learners. Two independent assessors evaluated these 40 simulations. The Cronbach’s alpha score for this scale is 0.72, the R-squared value is 0.99, and the intra-class correlation coefficient is 0.92. Three different methods were employed to establish the minimum passing score: the Angoff method, the Borderline group method, and the Contrasting Group method. For the Angoff method, we enlisted 5 experts from the panel who developed the rating scale. In the Borderline Group method, the two assessors evaluated the 40 simulations following the prescribed methodology. For the Contrasting Group method, the outcomes of various simulation sessions were analyzed.

Results
Using the Angoff method, the minimum passing score was determined to be 35 out of 50, equivalent to 70.6% (standard deviation: 15.8%). Employing the Borderline Group method yielded a minimum passing score of 31.70 out of 50, i.e., 63.4%. Finally, utilizing the Contrasting Group method, the minimum passing score was found to be 33 out of 50, or 66%.

Conclusion
The three methods employed resulted in varying minimum passing scores. A higher score is likely to ensure enhanced safety and quality of patient care, while also facilitating the learner’s progression in simulator training. We recommend considering a minimum passing score of 35 out of 50.
Shared practices among primary health care workers: A time-motion study
Authors: Rewa Talita , de Souza Gonçalves Geisa Colebrusco , Varela Andrea Liliana Vesga , Leonello Valéria Marli , Peduzzi Marina , de Almeida Leticia Yamawaka , Belotti Lorrayne , da Silva Debora Bernardo , Bonfim Daiana 
Published: February 2025

Abstract

Background
Shared activities by health workers in meeting health needs are crucial to improve the health population, patient experience, quality of life of health teams members and the effectiveness of care.

Objective
To identify the activities shared by Primary Health Care (PHC) team workers, whether multiprofessional or uniprofessional.

Method
A descriptive study was, thus, carried out, based on the time-motion technique, in São Paulo-Brazil. Data collection was carried out from 2021 to 2022, through direct observations of workers, family health teams (FHT), oral health teams (OHT) and multiprofessional teams (MultiT). The frequency rates of both activities and time of shared practices and the distribution of workers involved in information exchanges were considered.

Results
A total of 93 workers were observed, recording 21,936 activities (157,653 minutes). Of these, 72.90% were individual activities and 27.10%, shared (36.1% uni-professional and 63.9% multiprofessional). Shared activities represented 26.26% of the time. Dentists presented 60.8% of their activities in the shared modality, uni-professionally (99.26%). Concerning FHT, nurses were most dedicated to shared practices (33.09%) and exchanged information the most with others. According to team practices, the greatest amount of time dedicated to shared practices was spent by FHT (80%), followed by MultiT (71%) and OHT (65%).

Conclusion
Multiprofessional work in PHC is evident as a precursor to interprofessional practice. In this sense, studies and reflections on the way in which PHC indicators have been monitored and evaluated, which mainly refer to individual activities, are required.
Receptor deorphanization in starfish reveals the evolution of relaxin signaling as a regulator of reproduction
Authors: Feng Yuling , Escudero Castelán Nayeli , Hossain Mohammed Akhter , Wu Hongkang , Katayama Hidekazu , Smith Stuart J. , Cummins Scott F. , Mita Masatoshi , Bathgate Ross A. D. , Elphick Maurice R. 
Published: February 2025

Abstract

Background
Relaxins are a family of peptides that regulate reproductive physiology in vertebrates. Evidence that this is an evolutionarily ancient role of relaxins has been provided by the discovery of two relaxin-like gonad-stimulating peptides (RGP1 and RGP2) that trigger spawning in starfish. The main aim of this study was to identify the receptor(s) that mediate(s) the effects of RGP1 and RGP2 in starfish.

Results
Here we show that RGP1 and RGP2 belong to a family of peptides that include vertebrate relaxins, Drosophila insulin-like peptide 8 (Dilp8), and other relaxin-like peptides in several protostome taxa. An ortholog of the human relaxin receptors RXFP1 and RXFP2 and the Drosophila receptor LGR3 was identified in starfish (RXFP/LGR3). In Drosophila, but not in humans and other vertebrates, there is a paralog of LGR3 known as LGR4, and here an LGR4-type receptor was also identified in starfish. In vitro pharmacological experiments revealed that both RGP1 and RGP2 act as ligands for RXFP/LGR3 in the starfish Acanthaster cf. solaris and Asterias rubens, but neither peptide acts as a ligand for LGR4 in these species.

Conclusions
Discovery of the RXFP/LGR3-type receptor for RGP1 and RGP2 in starfish provides a new insight into the evolution of relaxin-type signaling as a regulator of reproductive processes. Furthermore, our findings indicate that RXFP/LGR3-type receptors have been lost in several phyla, including urochordates, mollusks, bryozoans, platyhelminthes, and nematodes.
The application of endoscopic debridement combined with metagenomic next-generation sequencing technology in primary spinal infections: a retrospective study
Authors: Feng Xiaofei , Cheng Jie , Jiang Luyong , Lin Jiayi , Ye Zhewei , Pang Qingjiang , Liu Jiangtao 
Published: February 2025

Abstract

Purpose
Spinal endoscopy is a novel minimally invasive spinal surgery technique used in recent years to treat various degenerative spinal diseases. Metagenomic next-generation sequencing (mNGS) is a new method for identifying infectious microorganisms in infectious diseases. We aim to evaluate the application effect of combining spinal endoscopy with mNGS in diagnosing and treating spinal infections.

Methods
The clinical data of 62 patients with suspected spinal infectious diseases admitted from January 2020 to December 2023 were retrospectively analyzed. All patients underwent spinal endoscopy to obtain tissue specimens, histopathological examination, routine bacterial culture, and mNGS sequencing. Describe the pathogenic microbial spectrum of spinal infection, and compare the differences in sensitivity (true positive rate) and specificity (true negative rate) between the two detection methods. White blood cell (WBC) erythrocyte deposition rate (ESR), C-reactive protein (CRP), visual analog scale (VAS), Japanese Orthopaedic Association (JOA) score, Oswestry Disability Index (ODI), and other clinical results were analyzed.

Results
In 62 cases, mNGS, microbiological culture, serologic testing, and pathologic examination results were obtained. 49 cases of spinal infections and 13 cases of non-spinal infections were finally diagnosed clinically. Among the 49 patients with spinal infections, there were 31 cases of purulent bacterial infections, 8 cases of tuberculosis infections, and 10 cases of infections with unspecified etiological microorganisms. Among the 13 cases of non-spinal infections, there were 3 cases of spinal tumors, 6 cases of Modic changes of the endplates, and 4 cases of endplate fracture. The positive rate of microbial culture was 36.73% (18/49), and the positive rate of the mNGS test was 71.43% (35/49), which was statistically different from each other (P < 0.01). The sensitivity of the mNGS test was 71.43%, and the specificity of the mNGS test was 84.62%. At the 3-month follow-up, WBC, ESR, and CRP levels were normalized. The VAS, JOA score, and ODI of the lower back and legs at each follow-up point after surgery were significantly improved compared with those before surgery, and the difference was statistically significant (P < 0.01).

Conclusion
Metagenomic sequencing technology is fast, efficient, and accurate in detecting pathogenic microorganisms, and has high diagnostic value in the diagnosis and treatment of spinal infections. Spinal endoscopic debridement combined with mNGS can achieve good clinical results.
Prioritisation of head, neck, and respiratory outcomes in mucopolysaccharidosis type II: lessons from a rare disease consensus exercise and comparison of parental and clinical priorities
Authors: Dempsey James , Daniels Jessica , Katiri Roulla , Thomas Sophie , Metryka Aleksandra , de Kruijf Mira , Wilkinson Stuart , Jones Simon A. , Bruce Iain A. 
Published: February 2025

Abstract

Background
The mucopolysaccharidoses are a group of rare, inherited metabolic disorders. MPS II is a X-linked recessive disease, also known as Hunter syndrome. Clinical manifestations include upper and lower respiratory tract, and head and neck pathologies influencing quality of life, morbidity, and mortality. Medical and surgical intervention outcomes for MPS are reported inconsistently, creating a challenge when synthesising and contrasting evidence. This study set out to address the inconsistency in outcome measurement in this field. International recommendations for developing a core outcome set were adopted. Available data from qualitative studies and outcomes from a modified e-Delphi surveys were used to develop a list of candidate outcomes for consideration. Three consensus meetings with patients diagnosed with MPS II alongside their parents/carers were ran to help finalise a list of outcome domains.

Results
Survival, airway obstruction, and quality of life were outcomes identified as important to always measure in all MPS II clinical trials and/or in clinical practice. Other outcomes for younger children included swallowing difficulties, cognitive development, ability to participate in education, and communication. The adolescent group included safety of chewing and swallowing, complications of anaesthesia, sleep quality and apnoea, nasal problems, and chronic otitis media. The adult group identified sleep apnoea, and hearing, as additional outcomes to measure.

Conclusions
A novel methodology for determining a core outcome set in rare diseases has been recommended. Both functional and quality of life outcomes were identified by the three age groups of individuals and/or their parents. Adoption of these sets of outcomes in future clinical trials and/or clinical practice will enable comparison of outcomes reported.
Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment
Authors: Li Peng , Huang Minli , Li Mengyao , Li Gen , Ma Yifan , Zhao Yong , Wang Xiaowu , Zhang Yongbin , Shi Changhong 
Published: February 2025

Abstract

Background
The emergence of targeted therapies and immunotherapy has broadened treatment options for patients with pancreatic ductal adenocarcinoma (PDAC). Despite this, traditional drug selection, predominantly relies on tumor markers and clinical staging, has underutilized these drugs due to ignoring patient genomic diversity. Patient-derived organoids (PDOs) and corresponding patient-derived organoid xenograft (PDOX) models offer a way to better understand and address this.

Methods
In this study, we established PDOs and PDOX models from PDAC clinical samples. These models were analyzed using immunohistochemistry, H&E staining, and genomic profiling. Drug screening with 111 FDA-approved drugs was performed on PDOs, and drug responses in PDOs and PDOX models were compared to assess consistency with clinical treatment outcomes. Gene analysis was conducted to explore the molecular mechanisms underlying variations in drug responses. Additionally, by analyzing the sequencing results from various drug-sensitive groups, the identified differential gene-drug metabolism gene UGT1A10 were modulated in PDOs to evaluate its impact on drug efficacy. A co-culture system of PDOs with immune cells was developed to study the efficacy of immunotherapies.

Results
PDOs and matched PDOX models retain the morphological, biological, and genomic characteristics of the primary tumor. Exome sequencing and RNA sequencing confirmed both the consistency and heterogeneity among the PDOs. High-throughput drug screening revealed significant variability in drug sensitivity across different organoids, yet PDOs and PDOX derived from the same patient exhibited a high degree of concordance in response to clinical chemotherapy agents. The gene expression analysis of PDOs with significant differences in drug sensitivity revealed UGT1A10 as a crucial regulator. The knockdown of UGT1A10 notably increased drug sensitivity. Furthermore, immune cells demonstrated specific cytotoxicity towards the organoids, underscoring the potential of the co-culture system for application in tumor immunotherapy.

Conclusion
Our results highlight the necessity for personalized treatment strategies that consider genomic diversity beyond tumor markers, thus validating the utility of PDOs and PDOX models in advancing PDAC research and personalized medicine.