bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcultural Adaptation and Psychometric Properties of the Persian Version of the Nursing Student Competence Scale (NSCS)
Authors: Jalali Amir , Chavoshani Fatemeh , Rasad Raheleh , Darvishi Niloufar , Fashi Fatemeh Merati , Khodamorovati Mahbod , Moradi Khalil 
Published: November 2024

Introduction The competency of a nurse in integrating knowledge, skills, attitudes, and values in various healthcare areas depends on their ability to apply these elements. It is a basic indicator of performance in nursing, and its assessment is a necessity among nursing students. Objective The present study was conducted to determine the psychometric properties of the Persian version of the nursing competence tool for Iranian nursing students in 2023. Methods This is a methodological study in which the Nursing Student Competence Scale (NSCS) was translated into Persian using the forward–backward translation method. A total of 321 nursing students were selected for construct validity by the exploratory factor analysis (EFA) (the first 190 nursing students) and confirmatory factor analysis (CFA) by convenience sampling method. Cronbach's alpha coefficient was used to evaluate the internal consistency, and the test–retest method was used to check the instrument's reliability. Results The results of EFA and CFA confirmed the instrument with six factors and 28 items. The results showed that the fit indices of the model in CFA included (CFI = .91, NNFI = .90, goodness of fit index = .83, root mean square error of approximation = .075, standardized root mean square residual = .047). Pearson's correlation coefficient between items and subscales showed a direct and significant relationship with the main scale. Also, Cronbach's alpha coefficient (0.9) and test–retest (0.88) confirmed the reliability of the Persian version of (NSCS). Conclusion Generally, the Persian version of the NSCS with 28 items and six factors is a valid and reliable scale. This instrument has good internal consistency, validity, and reliability, which can be used to evaluate nursing students’ competence in bachelor training.
PET/CT-derived coronary calcium score may predict cardiac complications in anthracycline-treated patients with lymphoma
Authors: Douglas Genevieve , Loh Zoe , Shum Evonne S.Y. , Lee Sze-Ting , Waters Niamh , Hamilton Garry , Chong Geoffrey , Murphy Alexandra C. , Hawkes Eliza A. 
Published: November 2024

Abstract
Anthracycline-mediated cardiotoxicity is a common concern after lymphoma therapy, particularly in patients with high cardiovascular risk (CVR). In noncancer populations, coronary artery calcium scoring (CACS) effectively identifies individuals who may benefit from aggressive CVR modification to lower the risk of cardiovascular events. Emerging evidence suggests that CACS can also predict cancer therapy-related cardiotoxicity, potentially identifying candidates for cardioprotective strategies. Our study aimed to evaluate whether CACS obtained from pretreatment positron emission tomography (PET)/computed tomography (CT) scans could stratify cardiac event risk in patients with lymphoma receiving anthracycline-based chemotherapy. We enrolled 358 consecutive patients with lymphoma treated between 2012 and 2022, calculating the CACS from their pretreatment PET/CT. We reviewed medical records to identify pre-existing cardiac conditions, CVR, and posttreatment cardiac events, including coronary events, heart failure (HF), and arrhythmias. Logistic and Cox regression models were used to assess associations between CVR, CACS categories (CACS = 0, CACS 1-400, CACS &gt;400), and new cardiac events. At a median follow-up of 27 months (95% confidence interval [CI], 22.3-31.7) in patients without cardiac history, 10% experienced posttreatment cardiac events (HF, 14; arrhythmias, 9; coronary event, 1; combination, 8). Patients with a CACS &gt;0 had more events (21 total, 20% vs 11 total, 5.4% for CACS = 0; P &lt; .001). Elevated CACS was independently associated with HF (CACS 1-400: odds ratio [OR], 3.73; 95% CI, 1.21-11.43; P = .022; CACS &gt;400: OR, 5.43; 95% CI, 1.47-20.03; P = .011) and any cardiac event (CACS 1-400: OR, 2.48; 95% CI, 1.02-6.04; P = .045; CACS &gt;400: OR, 3.28; 95% CI, 0.91-10.68; P = .029). CACS may effectively stratify patients with lymphoma at risk of cardiac complications, thereby identifying a group poised to benefit from targeted preventive strategies.
MRD-driven phase 2 study of daratumumab, carfilzomib, lenalidomide, and dexamethasone in newly diagnosed multiple myeloma
Authors: Bhutani Manisha , Robinson Myra , Foureau David , Atrash Shebli , Paul Barry , Guo Fei , Grayson Jason M. , Ivanina-Foureau Anna , Pineda-Roman Mauricio , Varga Cindy , Friend Reed , Ferreri Christopher J. , Begic Xhevahire , Norek Sarah , Drennan Tiffany , Anderson Michelle B. , Symanowski James T. , Voorhees Peter M. , Usmani Saad Z. 
Published: November 2024

Abstract
In newly diagnosed multiple myeloma (NDMM), measurable residual disease (MRD) status is prognostically important, but its role in treatment decisions remains unclear. In a phase 2 trial, we assessed daratumumab, carfilzomib, lenalidomide, and dexamethasone (Dara-KRd) induction followed by a next-generation sequencing–based MRD-adapted strategy. The primary outcome was complete response (CR) and stringent CR (≥CR) after induction. Flow cytometry was used to profile T cells. Among 39 patients, 21 (54%) achieved ≥CR after induction (P = .375), with MRD-negative rates of 59% (10−5) and 41% (10−6). Patients who were MRD-negative (n = 24, group A) received lenalidomide maintenance, showing sustained MRD negativity in 14 of 18 (77.8%) for ≥12 cycles. MRD-positive transplant-eligible patients (n = 8, group B) underwent autologous stem cell transplantation, with 62.5% converting to MRD-negative at 10−5 (37.5% at 10−6) posttransplant. MRD-positive, transplant-ineligible patients (n = 4, group C) received KRd consolidation. Best MRD-negative rates improved to 77% (10−5) and 72% (10−6). No new safety concerns were identified for Dara-KRd. With a median follow-up of 30.1 months, 3, 2, and 1 patient(s) in groups A, B, and C, respectively, have progressed or died. We observed that Dara-KRd strongly activated memory T cells, which was associated with an MRD-negative state post induction. Although the primary outcome was not met, Dara-KRd induction in NDMM achieved high ≥CR and MRD-negative rates without new safety concerns. The post induction MRD-adapted strategy deepened responses in MRD-positive patients and maintained durable MRD control in MRD-negative patients. This trial was registered at www.clinicaltrials.gov as #NCT04113018.
Whole genome sequencing-based characterization and determination of quinolone resistance among methicillin-resistant and methicillin-susceptible S. Aureus isolates from patients attending regional referral hospitals in Tanzania
Authors: Juma Masoud A. , Kumburu Happiness , Wadugu Boaz , Kuchaka Davis , Shayo Mariana , Kimu Patrick , Kanje Livin E. , Beti Melkiory , van Zwetselaar Marco , Mmbaga Blandina , Sonda Tolbert 
Published: November 2024

Abstract
Background
The emergence of multidrug-resistant termed Methicillin-resistant Staphylococcus aureus (MRSA) strain, driven by the acquisition of resistance gene mecA imposes a substantial challenge in the treatment and control of their related infections. Although quinolones have historically been effective against both MRSA and methicillin-susceptible S. aureus (MSSA) strains, the rising resistance to quinolones among S. aureus isolates, particularly in MRSA, has severely curtailed their potency and further narrowed down the therapeutic options. This study aimed to determine the burden of MRSA among isolates, as well as their resistance profile, genotypic characterization, and molecular relatedness through the construction of a phylogenetic tree.

Materials and methods
Archived clinical S. aureus isolates from a descriptive, cross-sectional study involving six regional referral hospitals in Dodoma, Songea, Kigoma, Kitete, and Morogoro in the mainland Tanzania and Mnazi Mmoja in Zanzibar were analyzed. Bacterial identification was performed using both classical microbiology and whole genome sequencing on Illumina Nextseq 550 Sequencer. Species identification was done using KmerFinder 3.2, Multilocus Sequence Typing using MLST 2.0, SCCmec typing using SCCmecFinder 1.2, resistance genes using ResFinder 4.1, and phylogenetic relatedness using CSI Phylogeny 1.4.

Results
Out of the 140 isolates analyzed, 69 (49.3%) were identified as MRSA, with 57 (82.6%) exhibiting quinolone resistance. Conversely, 71 isolates were identified as MSSA, and none of them exhibited resistance to quinolones. Spa-typing revealed six spa types, with t355, t1476, and t498 being the most common. Moreover, all (69) MRSA were found to carry SCCmec type IV. The isolates exhibited 14 different sequence types (STs). Notably, ST152 was prevalent among MSSA (50 isolates, 70%), while ST8 was the predominant sequence type among MRSA (58 isolates, 84%). The antimicrobial resistance profile revealed at least three horizontally acquired resistance genes, with blaZ, dfrG, tet(K), and aac (6’)-aph (2’’) genes being highly prevalent.

Conclusion
There is a high genetic diversity among the S. aureus isolates existing in Tanzania regional hospitals, with a concerning burden of quinolone resistance among MRSA isolates. The diversity in resistance genes among MRSA lineages emphasizes the necessity for the development of sustainable antimicrobial stewardship and surveillance to support evidence-based guidelines for managing and controlling MRSA infections in both community and hospital settings.
Associations between hand osteoarthritis, obesity and lipid metabolism: a cross-sectional study of the Halland County Osteoarthritis (HALLOA) cohort
Authors: Brogren Elisabeth , Andersson Maria , Westenius Melker , Wittrup Jenny , Zimmerman Malin 
Published: November 2024

Abstract
Background
To determine whether obesity and markers of lipid metabolism are associated with radiological hand osteoarthritis (OA) in the Halland County Osteoarthritis (HALLOA) cohort.

Methods
In this cross-sectional study, we included 231 participants aged 30–65 from the HALLOA cohort, which began in 2017 and is ongoing. Hand OA was defined as ≥ 2 joint groups (distal interphalangeal, proximal interphalangeal, and carpometacarpal I) with Kellgren-Lawrence grade ≥ 2. The severity of hand OA was classified in terms of the number of affected joint groups (moderate hand OA 2–4 joint groups, severe hand OA 5–6 joint groups). Metabolic profile, including body mass index (BMI), bioimpedance, waist circumference, blood pressure, serum leptin, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides, were obtained. Multicollinearity was assessed with Pearson’s correlation and associations with logistic regression analyses adjusting for age, HDL-cholesterol, and central obesity.

Results
Two-thirds of the participants were women, and 91 (39%) had hand OA. We found a relationship between LDL-cholesterol and prevalent hand OA in women with an odds ratio of 1.7 (95% CI 1.1–2.6) and an association between LDL-cholesterol and severity of hand OA in women; odds ratio for no hand OA vs. moderate hand OA was 1.6 (95% CI 1.0-2.4) and for no hand OA vs. severe hand OA 2.5 (95% CI 1.2–4.9). There were no significant relationships between hand OA and obesity or serum leptin levels.

Conclusion
Circulating LDL-cholesterol levels were associated with the prevalence and severity of hand OA in women but not men.

Trial registration
ClinicalTrials. Gov (NCT04928170), Date of registration: 2017-12-20.
Insights into the virome of Hyalomma marginatum in the Danube Delta: a major vector of Crimean-Congo hemorrhagic fever virus in Eastern Europe
Authors: Bratuleanu Bianca Elena , Chretien Delphine , Bigot Thomas , Regnault Beatrice , Pérot Philippe , Savuta Gheorghe , Eloit Marc , Temmam Sarah 
Published: November 2024

Abstract
Background
Ticks are significant vectors of pathogens, including viruses, bacteria, and protozoa. With approximately 900 tick species worldwide, many are expanding their geographical range due to changing socioeconomic and climate factors. The Danube Delta, one of Europe’s largest wetlands, is an ecosystem that, despite its ecological importance, remains understudied concerning the risk of introducing new tick-borne viruses. This region serves as a critical habitat for migratory birds, which can carry ticks over long distances, potentially introducing exotic tick species and their pathogens into the local ecosystem. Hyalomma marginatum ticks, the primary vector of Crimean-Congo hemorrhagic fever virus (CCHFV), are of particular concern due to their expanding presence in Europe and potential to spread other arboviruses. In addition to being the primary vector for CCHFV, Hyalomma sp. ticks are capable of transmitting other pathogens of medical and veterinary importance, including Dugbe virus, West Nile virus, African horse sickness virus, and Kyasanur forest disease virus. Therefore, it is essential to monitor the presence of Hyalomma sp. ticks while simultaneously surveilling arbovirus circulation in tick populations to mitigate the risk of arboviral outbreaks.

Methods
In this work, we used an RNA sequencing technique to analyze the virome of H. marginatum ticks collected from the Danube Delta Biosphere Reserve, Romania, one of the major bird migration hubs from Africa to Europe.

Results
Among the viral taxa detected in H. marginatum ticks, sequences belonging to Volzhskoe tick virus (VTV), Balambala tick virus (BMTV) and Bole tick virus 4 (BTV4) were identified. In addition, we report the first identification of a novel Rhabdoviridae-related virus, Hyalomma marginatum rhabdovirus (HMRV). No CCHFV or any CCHFV-related nairovirus were detected in this study.

Conclusions
To summarize, detecting new viruses is essential for monitoring potential viral outbreaks. Our research expands the understanding of virus diversity in Eastern Europe, including the identification of novel viruses. This insight is crucial for monitoring viruses that may pose risks to both animal and human health, such as CCHFV.

Graphical Abstract
Elevated plasma p-tau231 is associated with reduced generalization and medial temporal lobe dynamic network flexibility among healthy older African Americans
Authors: Budak Miray , Fausto Bernadette A. , Osiecka Zuzanna , Sheikh Mustafa , Perna Robert , Ashton Nicholas , Blennow Kaj , Zetterberg Henrik , Fitzgerald-Bocarsly Patricia , Gluck Mark A. 
Published: November 2024

Abstract
Background
Phosphorylated tau (p-tau) and amyloid beta (Aβ) in human plasma may provide an affordable and minimally invasive method to evaluate Alzheimer’s disease (AD) pathophysiology. The medial temporal lobe (MTL) is susceptible to changes in structural integrity that are indicative of the disease progression. Among healthy adults, higher dynamic network flexibility within the MTL was shown to mediate better generalization of prior learning, a measure which has been demonstrated to predict cognitive decline and neural changes in preclinical AD longitudinally. Recent developments in cognitive, neural, and blood-based biomarkers of AD risk that may correspond with MTL changes. However, there is no comprehensive study on how these generalization biomarkers, long-term memory, MTL dynamic network flexibility, and plasma biomarkers are interrelated. This study investigated (1) the relationship between long-term memory, generalization performance, and MTL dynamic network flexibility and (2) how plasma p-tau231, p-tau181, and Aβ42/Aβ40 influence generalization, long-term memory, and MTL dynamics in cognitively unimpaired older African Americans.

Methods
148 participants (Meanage: 70.88,SDage: 6.05) were drawn from the ongoing longitudinal study, Pathways to Healthy Aging in African Americans conducted at Rutgers University–Newark. Cognition was evaluated with the Rutgers Acquired Equivalence Task (generalization task) and Rey Auditory Learning Test (RAVLT) delayed recall. MTL dynamic network connectivity was measured from functional Magnetic Resonance Imaging data. Plasma p-tau231, p-tau181, and Aβ42/Aβ40 were measured from blood samples.

Results
There was a significant positive correlation between generalization performance and MTL Dynamic Network Flexibility (t = 3.372, β = 0.280, p < 0.001). There were significant negative correlations between generalization performance and plasma p-tau231 (t = -3.324, β = -0.265, p = 0.001) and p-tau181 (t = -2.408, β = -0.192, p = 0.017). A significant negative correlation was found between plasma p-tau231 and MTL Dynamic Network Flexibility (t = -2.825, β = -0.232, p = 0.005).

Conclusions
Increased levels of p-tau231 are associated with impaired generalization abilities and reduced dynamic network flexibility within the MTL. Plasma p-tau231 may serve as a potential biomarker for assessing cognitive decline and neural changes in cognitively unimpaired older African Americans.
Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study
Authors: Matute-González Mario , Darnell Anna , Comas-Cufí Marc , Pazó Javier , Soler Alexandre , Saborido Belén , Mauro Ezequiel , Turnes Juan , Forner Alejandro , Reig María , Rimola Jordi 
Published: November 2024

Abstract
Objective
To develop a domain-specific large language model (LLM) for LI-RADS v2018 categorization of hepatic observations based on free-text descriptions extracted from MRI reports.

Material and methods
This retrospective study included 291 small liver observations, divided into training (n = 141), validation (n = 30), and test (n = 120) datasets. Of these, 120 were fictitious, and 171 were extracted from 175 MRI reports from a single institution. The algorithm’s performance was compared to two independent radiologists and one hepatologist in a human replacement scenario, and considering two combined strategies (double reading with arbitration and triage). Agreement on LI-RADS category and dichotomic malignancy (LR-4, LR-5, and LR-M) were estimated using linear-weighted κ statistics and Cohen’s κ, respectively. Sensitivity and specificity for LR-5 were calculated. The consensus agreement of three other radiologists served as the ground truth.

Results
The model showed moderate agreement against the ground truth for both LI-RADS categorization (κ = 0.54 [95% CI: 0.42–0.65]) and the dichotomized approach (κ = 0.58 [95% CI: 0.42–0.73]). Sensitivity and specificity for LR-5 were 0.76 (95% CI: 0.69–0.86) and 0.96 (95% CI: 0.91–1.00), respectively. When the chatbot was used as a triage tool, performance improved for LI-RADS categorization (κ = 0.86/0.87 for the two independent radiologists and κ = 0.76 for the hepatologist), dichotomized malignancy (κ = 0.94/0.91 and κ = 0.87) and LR-5 identification (1.00/0.98 and 0.85 sensitivity, 0.96/0.92 and 0.92 specificity), with no statistical significance compared to the human readers’ individual performance. Through this strategy, the workload decreased by 45%.

Conclusion
LI-RADS v2018 categorization from unlabelled MRI reports is feasible using our LLM, and it enhances the efficiency of data curation.

Critical relevance statement
Our proof-of-concept study provides novel insights into the potential applications of LLMs, offering a real-world example of how these tools could be integrated into a local workflow to optimize data curation for research purposes.

Key Points

Automatic LI-RADS categorization from free-text reports would be beneficial to workflow and data mining.

LiverAI, a GPT-4-based model, supported various strategies improving data curation efficiency by up to 60%.

LLMs can integrate into workflows, significantly reducing radiologists’ workload.

Graphical Abstract
Intratumoral and peritumoral MRI-based radiomics for predicting extrapelvic peritoneal metastasis in epithelial ovarian cancer
Authors: Wang Xinyi , Wei Mingxiang , Chen Ying , Jia Jianye , Zhang Yu , Dai Yao , Qin Cai , Bai Genji , Chen Shuangqing 
Published: November 2024

Abstract
Objectives
To investigate the potential of intratumoral and peritumoral radiomics derived from T2-weighted MRI to preoperatively predict extrapelvic peritoneal metastasis (EPM) in patients with epithelial ovarian cancer (EOC).

Methods
In this retrospective study, 488 patients from four centers were enrolled and divided into training (n = 245), internal test (n = 105), and external test (n = 138) sets. Intratumoral and peritumoral models were constructed based on radiomics features extracted from the corresponding regions. A combined intratumoral and peritumoral model was developed via a feature-level fusion. An ensemble model was created by integrating this combined model with specific independent clinical predictors. The robustness and generalizability of these models were assessed using tenfold cross-validation and both internal and external testing. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC). The Shapley Additive Explanation method was employed for model interpretation.

Results
The ensemble model showed superior performance across the tenfold cross-validation, with the highest mean AUC of 0.844 ± 0.063. On the internal test set, the peritumoral and ensemble models significantly outperformed the intratumoral model (AUC = 0.786 and 0.832 vs. 0.652, p = 0.007 and p < 0.001, respectively). On the external test set, the AUC of the ensemble model significantly exceeded those of the intratumoral and peritumoral models (0.843 vs. 0.750 and 0.789, p = 0.008 and 0.047, respectively).

Conclusion
Peritumoral radiomics provide more informative insights about EPM than intratumoral radiomics. The ensemble model based on MRI has the potential to preoperatively predict EPM in EOC patients.

Critical relevance statement
Integrating both intratumoral and peritumoral radiomics information based on MRI with clinical characteristics is a promising noninvasive method to predict EPM to guide preoperative clinical decision-making for EOC patients.

Key Points

Peritumoral radiomics can provide valuable information about extrapelvic peritoneal metastasis in epithelial ovarian cancer.

The ensemble model demonstrated satisfactory performance in predicting extrapelvic peritoneal metastasis.

Combining intratumoral and peritumoral MRI radiomics contributes to clinical decision-making in epithelial ovarian cancer.

Graphical Abstract