bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surgical Excision of a Cyclops Lesion After ACL Reconstruction in an Elite College Athlete
Authors: Money Adam J. , Pullen W. Michael , Safran Marc R. , Abrams Geoffrey D. , Sherman Seth L. 
Published: December 2024

Background: Cyclops lesion after anterior cruciate ligament (ACL) reconstruction can appear on magnetic resonance imaging (MRI) in up to 30% of patients and is symptomatic in up to 9%. Arthroscopic cyclops removal can help restore motion and limit recurrence. Indications: Patient is an 18-year-old male high-level collegiate athlete with a mechanical block to full extension. Patient underwent ACL reconstruction with bone–patellar tendon–bone autograft 15 months prior by an outside physician. The patient had a stable Lachman and pivot-shift examination, but there was a palpable clunk when attempting to extend his knee the final 10°. Patient was unable to perform sport due to symptoms. Postoperative MRI demonstrated a large cyclops lesion. Technique: Bilateral ligamentous examination under anesthesia was performed prior to draping. Standard arthroscopy portals were used. Diagnostic arthroscopy was performed by assessing all critical structures in the knee (ie, meniscus, cartilage, and ligaments). The cyclops lesion was visualized in the intercondylar notch with clear evidence of superior notch impingement with knee extension. Using a standard shaver and radiofrequency ablation, the cyclops lesion was resected with care not to injure the ACL graft or disrupt its integrity. A small superior soft tissue resection was then performed with resection of scar tissue that had formed within the notch. A repeat examination with an arthroscope in the knee revealed no further impingement. Results: Patient was able to return fully to sport at 8 weeks postoperatively with no limitations, with no return of clicking or loss of motion. Discussion/Conclusion: Symptomatic cyclops lesion after ACL reconstruction can be effectively treated with arthroscopic debridement. Postoperatively, patients can return to full sport at 6 to 8 weeks. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
Demography in Swiss paediatric uveitis: a retrospective cohort study
Authors: Gunzinger Jeanne Martine , Kitay Alice , Meier Fabio , Böni Christian , Palmer Sarott Seraina , Simonsz-Tóth Brigitte , Gerth-Kahlert Christina 
Published: December 2024

Abstract
Introduction
Paediatric uveitis is a rare disease. It can affect any segment and have various etiologies, including infectious, autoimmune, and masquerade diseases. The pupose of this study is to analyse and present the demographic data in paediatric uveitis in a Swiss cohort. Knowledge of local demography may guide targeted work up and treatment.

Methods
Single center retrospective study from January 2012 to June 2022. Patients under 18 years of age with uveitis were eligible for inclusion. Demographics (age at first presentation, sex), ocular signs (affected eye segment, laterality, visual acuity; VA, Snellen, decimal, clinical course), and systemic finding were analysed. Frequencies and descriptive statistics were computed, non-parametric tests and odds ratio were applied for sample comparisons. Local ethics committee approved this study.

Results
Data from 93 of 133 identified patients were available. 51% were female, mean age at first presentation was 12 years, 60% had bilateral disease. 68% were of non-infectious etiology. Most common identified etiology was toxoplasmosis (20%), followed by JIA (8%) and herpetic (8%). No associated infectious cause or systemic disease was found in 44% of the cases. Most presented with anterior uveitis (50%), followed by posterior (28%), intermediate (20%), and panuveitis (2%). 80% of anterior uveitis were non-infectious; 81% of posterior uveitis were infectious. Bilateral disease was strongly associated with non-infectious uveitis (93%), whereas unilateral disease was more likely to be of an infectious cause (70%); odds ratio = 31. Mean VA of affected eyes at first presentation was 0.79. VA was significantly worse in cases with infectious uveitis compared to non-infectious uveitis (p = 0.007). Nearly a third of affected eyes showed at least one complication. This did not differ between in non-infectious and infectious uveitis cases.

Conclusion
Bilateral disease is strongly suggestive of non-infectious uveitis. Unilateral and posterior disease is suggestive of an infectious cause, with toxoplasmosis being the most often diagnosed cause of uveitis in this cohort. Knowledge of demography is important for specialists to target workup and introduce treatment.
Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer’s disease
Authors: Mayer Julius , Baum Daniel , Ambellan Felix , von Tycowicz Christoph ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: December 2024

AbstractShape analysis provides methods for understanding anatomical structures extracted from medical images. However, the underlying notions of shape spaces that are frequently employed come with strict assumptions prohibiting the analysis of incomplete and/or topologically varying shapes. This work aims to alleviate these limitations by adapting the concept of functional maps. Further, we present a graph-based learning approach for morphometric classification of disease states that uses novel shape descriptors based on this concept. We demonstrate the performance of the derived classifier on the open-access ADNI database differentiating normal controls and subjects with Alzheimer’s disease. Notably, the experiments show that our approach can improve over state-of-the-art from geometric deep learning.
Exploring the supportive care needs of families affected by pancreatic cancer: a mixed-methods study protocol
Authors: Anderson Tara , Prue Gillian , Graham-Wisener Lisa , McLaughlin Susan , Mitchell Gary 
Published: December 2024

Abstract
Background
Pancreatic cancer is an aggressive disease with most cases diagnosed at an advanced stage resulting in low survival rates. Family members often take on a role of supporting patients’ needs. Families tend to be unprepared for this and experience high levels of unmet needs and substantial impacts to their own wellbeing, heightened by the rapid deterioration and short life expectancy associated with pancreatic cancer.

Aim
The proposed study aims to explore the supportive care needs and associated psychosocial impact of pancreatic cancer on family members, and the role of support services in supporting these families.

Methods
A sequential explanatory mixed methods design will be utilised. Data collection will consist of three phases: (1) Survey of affected family members to explore their supportive care needs and psychological wellbeing; (2) Semi-structured interviews to explore the lived experiences of family members across the disease trajectory, their psychosocial adjustment, and their perceptions of support services; (3) Focus groups with support services providers to explore their experiences in providing support to affected families.

Discussion
By combining quantitative and qualitative approaches, this research aims to provide a comprehensive understanding of the challenges and opportunities in providing psychosocial support to families affected by pancreatic cancer, ultimately enhancing their quality of life during and after the cancer journey. The findings may help to inform the development and enhancement of support programs, tailored to meet the specific needs of affected families.
Evaluation of prediction errors in nine intraocular lens calculation formulas using an explainable machine learning model
Authors: Oh Richul , Oh Joo Youn , Choi Hyuk Jin , Kim Mee Kum , Yoon Chang Ho 
Published: December 2024

Abstract
Background
The purpose of the study was to evaluate the relationship between prediction errors (PEs) and ocular biometric variables in cataract surgery using nine intraocular lens (IOL) formulas with an explainable machine learning model.

Methods
We retrospectively analyzed the medical records of consecutive patients who underwent standard cataract surgery with a Tecnis 1-piece IOL (ZCB00) at a single center. We calculated predicted refraction using the following IOL formulas: Barrett Universal II (BUII), Cooke K6, EVO V2.0, Haigis, Hoffer QST, Holladay 1, Kane, SRK/T, and PEARL-DGS. We used a LightGBM-based machine learning model to evaluate the explanatory power of ocular biometric variables for PEs and assessed the relationship between PEs and ocular biometric variables using Shapley additive explanation (SHAP) values.

Results
We included 1,430 eyes of 1,430 patients in the analysis. The SRK/T formula exhibited the highest R2 value (0.231) in the test set among the machine-learning models. In contrast, the Kane formula exhibited the lowest R2 value (0.021) in the test set, indicating that the model could explain only 2.1% of the PEs using ocular biometric variables. BUII, Cooke K6, EVO V2.0, Haigis, Hoffer QST, Holladay 1, PEARL-DGS formulas exhibited R2 values of 0.046, 0.025, 0.037, 0.194, 0.106, 0.191, and 0.058, respectively. Lower R2 values for the IOL formulas corresponded to smaller SHAP values.

Conclusion
The explanatory power of currently used ocular biometric variables for PEs in new-generation formulas such as BUII, Cooke K6, EVO V2.0 and Kane is low, implying that these formulas are already optimized. Therefore, the introduction of new ocular biometric variables into IOL calculation formulas could potentially reduce PEs, enhancing the accuracy of surgical outcomes.
Milk consumers in Pakistan and Italy: a comparative study on the effects of geographical affiliation, socio-demographic characteristics and consumption patterns on knowledge, attitude and perception of antimicrobial resistance
Authors: Hassan Talal , Merlino Valentina Maria , Badino Paola , Odore Rosangela , Shahid Muhammad Qamer , Amerio Alberto , Renna Manuela 
Published: December 2024

AbstractAntimicrobials are extensively used in livestock to treat common diseases, including mastitis and other bacterial infections, with around 80% of food-producing animals receiving such treatments. Despite a ban in the EU since 2006, antibiotics are still used globally for growth promotion, exacerbating antimicrobial resistance (AMR). From the consumers’ point of view, the potential exposure to resistant zoonotic bacteria in animal-derived food products may represent a threat to public health. However, consumers’ knowledge and attitude vary across socio-demographic characteristics and geographical location. This study aims to evaluate the knowledge, attitudes, and perceptions (KAP) of milk consumers regarding AMR in Pakistan (as a representative of low-to-middle income countries (LMICs)), compared to Italy (as a representative of high-income countries (HICs)).Data were collected via surveys from 401 Pakistani and 550 Italian milk consumers, focusing on socio-demographics, milk purchasing habits, and awareness of antibiotic residues and AMR. The study identified three principal components (PCs) influencing milk consumption: milk quality attributes and tradition, family-dependence, and eating style-dependence. A cluster analysis categorized consumers into four groups: "Attentive to milk quality attributes," "Loyal to milk," "Undecided consumer," and "Milk is essential in my food pattern."Italian consumers predominantly belonged to the "Attentive to milk quality attributes" group, valuing safety and health benefits, and were the most informed about AMR. Pakistani consumers, primarily belonging to the "Loyal to milk" group, exhibited high purchasing frequency influenced by family size but showed limited awareness about AMR risks. The "Undecided consumer" group, a mix of Italian and Pakistani individuals, lacked strong preferences and displayed moderate awareness of AMR, influenced by habitual consumption patterns.This research underscores the need for targeted educational campaigns to raise awareness about AMR and antibiotic residues in milk, particularly in LMICs. Survey findings can help to identify targeted action plans and boost policy development on AMR. Enhancing consumer knowledge through the One-Health approach could mitigate AMR risks and promote informed decision-making in milk consumption across different socio-economic contexts.
Differential effects of air pollution on ischemic stroke and ischemic heart disease by ethnicity in a nationwide cohort in the Netherlands
Authors: van den Brekel Lieke , Mackenbach Joreintje D. , Grobbee Diederick E. , Hoek Gerard , Vaartjes Ilonca , Koop Yvonne 
Published: December 2024

Abstract
Background
Air pollution is a major risk factor for cardiovascular diseases and contributes to health disparities, particularly among minority ethnic groups, who often face higher exposure levels. Knowledge on whether the effect of air pollution on cardiovascular diseases differs between ethnic groups is crucial for identifying mechanisms underlying health disparities, ultimately informing targeted public health strategies and interventions. We explored differences in associations between air pollution and ischemic stroke and ischemic heart disease (IHD) for the six largest ethnic groups in the Netherlands.

Methods
This nationwide analysis (2014–2019), linked residential-address concentrations of NO2 and PM2.5 to individual-level hospital and mortality data. To evaluate incident ischemic stroke, we created a cohort of residents ≥30 years and free of ischemic stroke at baseline and for incident IHD we created a cohort free of IHD. We performed Cox proportional hazard survival analyses in each cohort with 2014 average concentrations of PM2.5 or NO2 as determinants, stratified by ethnicity (Dutch, German, Indonesian, Surinamese, Moroccan, Turkish) and adjusted for age, sex, socioeconomic indicators and region.

Results
Both cohorts included > 9.5 million people. During follow-up, 127,673 (1.3%) developed ischemic stroke and 156,517 (1.6%) developed IHD. For ischemic stroke, the p-values for the interaction between air pollution and ethnicity were 0.057 for NO2 and 0.055 for PM2.5. The HR of 1 IQR increase (6.42 µg/m3) of NO2 for ischemic stroke was lowest for Moroccans (0.92 [0.84–1.02], p-value = 0.032 difference with Dutch) and highest for Turks (1.09 [1.00-1.18], p-value = 0.157 difference with Dutch). PM2.5 results were similar. For IHD, higher exposure was unexpectedly associated with lower incidence. The p-values for the interaction with ethnicity were 1.75*10− 5 for NO2 and 1.06*10− 3 for PM2.5. The HRs for IHD were lowest for Turks (NO2: 0.88 [0.83–0.92], p-value = 2.0*10− 4 difference with Dutch, PM2.5: 0.86 [0.82–0.91], p-value = 1.3*10− 4 difference with Dutch) and highest for Surinamese (NO2: 1.02 [0.97–1.07], p-value = 0.014 difference with Dutch) and Dutch (PM2.5: 0.96 [0.94–0.98]).

Conclusions
Associations between air pollutants and ischemic stroke or IHD differ notably between ethnic groups in the Netherlands. Policies to reduce air pollution and prevent ischemic stroke should target populations vulnerable to air pollution with a high cardiovascular disease risk.
Chinese dentists’ restorative preferences and choices for endodontically treated teeth: a representative survey
Authors: Li Wenhui , Zheng Ziting , Zeng Yuting , Zhou Zhiyan , Xiao Ping , Zhong Xincen , Yan Wenjuan 
Published: December 2024

Abstract
Background
The optimal restoration protocol for endodontically treated teeth (ETT) remains a subject of debate. This survey aims to assess the current level of awareness, knowledge, and prevailing opinions among dental practitioners in China regarding the application of endocrown versus the post/core/crown ensemble for post-endodontic restoration strategies.

Methods
A validated questionnaire, encompassing three sections, was distributed electronically to dentists practicing in China. The initial section collected demographic characteristics of the participants, while the subsequent sections assessed their knowledge and preferences regarding ETT restoration techniques in various clinical scenarios. Distribution of the survey was facilitated through the social media platform WeChat, with a total of 600 invitations sent out. Data analysis was conducted using SPSS Statistical Software, employing frequency and Chi-square tests to determine statistical significance at the P < 0.05 threshold.

Results
A total of 400 valid questionnaires were collected. The amount of remaining tooth structure was identified as the most influential factor in determining the restoration strategies, contributing to 26.1%. Over 72.8% of the surveyed dentists acknowledged the reinforcing effect of intraradicular posts on ETT. More than half of the participants reported the application of endocrowns within their post-endodontics management. The preference for endocrowns was pronounced in cases where more than 50% of the tooth’s structure remained or when occlusal space limitations were present. The Chi-Square test revealed that the participants’ knowledge regarding endocrown restoration was significantly influenced by their age, educational background, and experience (p < 0.05).

Conclusions
The clinical decision-making process for the restoration of endodontically treated teeth (ETT) by dental practitioners primarily relies on the amount of remaining tooth structure. Most surveyed dentists believe that the presence of a post can reinforce ETT. A majority of participants consider the Endocrown as a viable alternative restorative treatment for ETT.
Bonding super translucent multilayered monolithic zirconia to different foundation materials: an invitro study
Authors: Essam Noha , Abo-Elfarag Shaimaa Ahmed , Attia Ahmed 
Published: December 2024

Abstract
Background
The objective of this study was to investigate the effect of bonded substrate, zirconia surface conditioning and the interaction between them on the shear bond strength of monolithic zirconia.

Methods
Forty-eight monolithic zirconia discs were CAD-CAM fabricated and divided into two groups according to surface treatment either as milled and universal primer application (Monobond N, Ivoclar-Vivadent) (P) or sandblasting then universal primer application (Monobond N) (SP). Each main group was further divided into three test groups according to the bonded substrate: dentin (DSP, DP), composite (CSP, CP) or resin modified glass ionomer (RMGI) (GSP, GP). Adhesive resin cement (Multilinik automix, Ivoclar-Vivadent) was used for bonding. Specimens were stored in water bath for six months before thermal cycling for 10,000 cycles to mimic intra oral condition. All specimens underwent shear bond strength test (SBS) using a universal testing machine. Two and one-way ANOVA and Bonferroni Post Hoc tests were used for statistical analyses.

Results
The means ± SD SBS of all test groups were recorded in (MPa). DSP group showed the highest mean SBS (22.65 ± 2.0) followed by DP group (18.61 ± 2.55). Meanwhile, GSP and GP groups showed the lowest mean SBS (4.77 ± 0.09, 4.57 ± 0.73 respectively).

Conclusion
Sandblasting with priming is recommended as a monolithic zirconia surface treatment method. Dentin is the most reliable substrate followed by composite.
Parental health belief model constructs associated with oral health behaviors, dental caries, and quality of life among preschool children in China: a cross-sectional study
Authors: Liu Shu-Mei , Xin Yu-Meng , Wang Feng , Lin Pei-Chao , Huang Hsiao-Ling 
Published: December 2024

Abstract
Background
Early childhood caries (ECC) is a prevalent health problem that negatively affects both overall health and oral health–related quality of life (OHRQoL). This study investigated the association between health belief model (HBM) constructs and oral health behaviors, dental caries, and OHRQoL in preschool children in China.

Methods
A total of 1562 preschool children aged 3 to 6 years were recruited from six public kindergartens in Hangzhou, Zhejiang Province, by using stratified cluster sampling. A questionnaire was administered to parents to collect information on demographics, HBM constructs, oral health behaviors, dental caries, and OHRQoL. Regression models were used to examine relationships between HBM constructs and the outcomes.

Results
Parental perceived benefits [adjusted odds ratio (AOR) = 1.47 and 1.42], perceived barriers (AOR = 0.65 and 0.63), and oral health self-efficacy (AOR = 20.59 and 19.09) were associated with brushing teeth twice daily and brushing teeth with parental assistance. Perceived susceptibility (AOR = 6.62) and perceived severity (AOR = 0.49) were significantly associated with children’s ECC. Poorer oral health (β = 0.09), higher perceived susceptibility (β = 0.11), and greater perceived barriers (β = 0.30) were associated with lower OHRQoL. Brushing teeth twice daily (β = −0.19) and brushing teeth with parental assistance (β = −0.09) were associated with higher OHRQoL.

Conclusions
Parental HBM constructs were significantly associated with oral health behaviors, ECC, and OHRQoL in preschool children. These findings indicate the importance of incorporating parental HBM constructs into health education programs to promote positive oral health behaviors, reduce the prevalence of caries, and enhance OHRQoL in preschoolers.

Trial registration
Not applicable.
Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study
Authors: Casacchia Nicholas J. , Lenoir Kristin M. , Rigdon Joseph , Wells Brian J. 
Published: December 2024

Abstract
Background
A prediction model that estimates the risk of elevated glycated hemoglobin (HbA1c) was developed from electronic health record (EHR) data to identify adult patients at risk for prediabetes who may otherwise go undetected. We aimed to assess the internal performance of a new penalized regression model using the same EHR data and compare it to the previously developed stepdown approximation for predicting HbA1c ≥ 5.7%, the cut-off for prediabetes. Additionally, we sought to externally validate and recalibrate the approximation model using 2017–2020 pre-pandemic National Health and Nutrition Examination Survey (NHANES) data.

Methods
We developed logistic regression models using EHR data through two approaches: the Least Absolute Shrinkage and Selection Operator (LASSO) and stepdown approximation. Internal validation was performed using the bootstrap method, with internal performance evaluated by the Brier score, C-statistic, calibration intercept and slope, and the integrated calibration index. We externally validated the approximation model by applying original model coefficients to NHANES, and we examined the approximation model’s performance after recalibration in NHANES.

Results
The EHR cohort included 22,635 patients, with 26% identified as having prediabetes. Both the LASSO and approximation models demonstrated similar discrimination in the EHR cohort, with optimism-corrected C-statistics of 0.760 and 0.763, respectively. The LASSO model included 23 predictor variables, while the approximation model contained 8. Among the 2,348 NHANES participants who met the inclusion criteria, 30.1% had prediabetes. External validation of the LASSO model was not possible due to the unavailability of some predictor variables. The approximation model discriminated well in the NHANES dataset, achieving a C-statistic of 0.787.

Conclusion
The approximation method demonstrated comparable performance to LASSO in the EHR development cohort, making it a viable option for healthcare organizations with limited resources to collect a comprehensive set of candidate predictor variables. NHANES data may be suitable for externally validating a clinical prediction model developed with EHR data to assess generalizability to a nationally representative sample, depending on the model’s intended use and the alignment of predictor variable definitions with those used in the model’s original development.