bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of root morphology of mandibular second molars on panoramic-like and axial views of cone-beam computed tomography
Authors: Karkhaneh Mahsa , Karkehabadi Hamed , Alafchi Behnaz , Shokri Abbas 
Published: November 2023

Abstract
Background
Knowledge about the anatomy and morphology of the root canal system is essential for successful surgical and non-surgical root canal treatments. However, precise assessment of the root morphology and anatomy is not often possible on two-dimensional radiographs. This study aimed to investigate the association of root morphology of mandibular second molars on panoramic-like and axial views of cone-beam computed tomography (CBCT).

Methods
This cross-sectional study evaluated 1,231 CBCT scans of mandibular second molars obtained between October 2018 and February 2022 that were retrieved from the archives of a private radiology clinic. Panoramic-like images were reconstructed from the CBCT scans. The root morphology of mandibular second molars was classified on panoramic-like images as type 1, 2, 3, 4, or 5. The root pattern on axial CBCT images was classified into three types of single, double and C-shaped. The association of root morphology on panoramic-like and axial CBCT views was analyzed by the Chi-square test and Fisher’s exact test at 0.05 level of significance.

Results
Of all, 62.7% of mandibular second molars were type 1; out of which, 97.3% had a double-root pattern on axial CBCT images. Also, 28.6% of them were type 2; of which, 92.6% had a double-root pattern. Moreover, 3.9% were type 3; of which, 47.9% had a C-shaped pattern; 0.9% were type 4, and 45.5% of them showed a single-root pattern; 3.8% were type 5 with 76.6% of them showing a single-root pattern. The prevalence of C-shaped canals was higher in females, and most C-shaped canals had a C3 pattern.

Conclusion
Root morphology on panoramic-like CBCT views had a strong association with the root canal pattern on axial CBCT views. According to the results, mandibular second molars with a type 3 morphology on panoramic-like CBCT images are highly probable to have a C-shaped canal.
Correlation between salivary cytokine profiles and white spot lesions in adolescent patients receiving clear aligner orthodontic treatment
Authors: Liu Qian , Guo Tao , Dang Wei , Song Zhixin , Wen Yi , Luo Houzhuo , Wang Axian 
Published: November 2023

Abstract
Background
To explore the relationship between changes in salivary cytokine levels and the occurrence of white spot lesions in adolescents receiving clear aligner orthodontic treatment and investigate the predictive value of various factors for lesion occurrence.

Methods
We retrospectively analyzed sixthy eight adolescent in the permanent dentition period, who received clear aligner orthodontics in our hospital were randomly divided into two groups according to the occurrence or aggravation of white spot lesions after treatment. The general condition of the oral cavity was analyzed, saliva was collected, and inflammation-related cytokines with varying transcription levels between groups were screened by transcriptome analysis. The expression levels of inflammatory cytokines in the saliva of the patients in the two groups were measured, and the risk factors for white spot lesions were screened by correlation analysis and binary logistic regression analysis. The value of the independent and combined application of risk factors for predicting the occurrence of white spot lesions in adolescent patients after invisible orthodontic treatment was analyzed by receiver operating characteristic (ROC) curve analysis.

Results
Transcriptome and GO and KEGG pathway analyses showed that there were differences in the transcription levels of inflammatory cytokines such as CXCL1, CXCL2, CXCL8, CCL3, CCL4, IL-1β and IL-2 between groups. The levels of CXCL8, CCL3, CCL4, IL-1β and IL-2 in the saliva of patients with white spot lesions were significantly higher in patients after invisible orthodontic treatment (P < 0.05). Correlation analysis and binary logistic regression analysis showed that elevated levels of CXCL8, IL-1β and IL-2 were independent risk factors for the occurrence of white spot lesions (P < 0.05). CXCL8 had the highest independent predictive value for the occurrence of white spot lesions (AUC = 0.773, P < 0.05), and the combination of IL-1β and IL-2 was also of high value in predicting the occurrence of white spot lesions.

Conclusion
After invisible orthodontic treatment, the oral microenvironment, including inflammatory cytokine levels, in adolescent patients changes; in particular, the levels of inflammatory cytokines such as CXCLs and ILs change. CXCL8 expression is significantly associated with the occurrence of white spot lesions and is an important potential target for the prevention and treatment of white spot lesions in the future.
Assessment of gubernacular canal frequency with CBCT in a group of Turkish population
Authors: Dogan Mehmet Emin , Uluısık Nurbanu , Dogan Mehmet Sinan 
Published: November 2023

Abstract
Objective
The aim of this study is to investigate the frequency of the gubernacular canal observed on cone-beam computed tomography (CBCT) images in a group of Turkish populations according to age and gender.

Materials and methods
CBCT images of 500 cases were evaluated retrospectively, and a total of 117 impacted or erupting teeth were included in the study, and the presence of gubernacular canal was recorded according to age, gender and eruption status of the tooth. SPSS program was used for statistical analysis.

Results
The mean age of 117 buried/continuing patients was 17 ± 15.32, 55 (47%) were female and were 62 (53%) male patients. Presence of gubernacular canal was observed in 91 (77.8%) cases and this duct was not detected in 26 (22.2%) cases. While 40.2% of female were found to have canals, 37.6% of male had canals. When the presence of canals was examined, the presence of canals was found to be significantly higher in the erupting teeth. A significant difference was found when analyzed according to the mean age.

Conclusions
CBCT is a useful method of detecting the gubernacular canal. The presence of gubernacular canal was significantly higher in erupting teeth.
Machine learning classification of polycystic ovary syndrome based on radial pulse wave analysis
Authors: Lim Jiekee , Li Jieyun , Feng Xiao , Feng Lu , Xia Yumo , Xiao Xinang , Wang Yiqin , Xu Zhaoxia 
Published: November 2023

Abstract
Background
Patients with Polycystic ovary syndrome (PCOS) experienced endocrine disorders that may present vascular function changes. This study aimed to classify and predict PCOS by radial pulse wave parameters using machine learning (ML) methods and to provide evidence for objectifying pulse diagnosis in traditional Chinese medicine (TCM).

Methods
A case-control study with 459 subjects divided into a PCOS group and a healthy (non-PCOS) group. The pulse wave parameters were measured and analyzed between the two groups. Seven supervised ML classification models were applied, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees, Random Forest, Logistic Regression, Voting, and Long Short Term Memory networks (LSTM). Parameters that were significantly different were selected as input features and stratified k-fold cross-validations training was applied to the models.

Results
There were 316 subjects in the PCOS group and 143 subjects in the healthy group. Compared to the healthy group, the pulse wave parameters h3/h1 and w/t from both left and right sides were increased while h4, t4, t, As, h4/h1 from both sides and right t1 were decreased in the PCOS group (P < 0.01). Among the ML models evaluated, both the Voting and LSTM with ensemble learning capabilities, demonstrated competitive performance. These models achieved the highest results across all evaluation metrics. Specifically, they both attained a testing accuracy of 72.174% and an F1 score of 0.818, their respective AUC values were 0.715 for the Voting and 0.722 for the LSTM.

Conclusion
Radial pulse wave signal could identify most PCOS patients accurately (with a good F1 score) and is valuable for early detection and monitoring of PCOS with acceptable overall accuracy. This technique can stimulate the development of individualized PCOS risk assessment using mobile detection technology, furthermore, gives physicians an intuitive understanding of the objective pulse diagnosis of TCM.

Trial registration
Not applicable.
Cross-border simulation training for German and Polish emergency medical teams is feasible: conception and evaluation of a bilingual simulation training
Authors: Ruebsam Marie-Luise , Orsson Dorota , Metelmann Bibiana , Orsson Jakub , Hahnenkamp Klaus , Metelmann Camilla 
Published: November 2023

Abstract
Background
Cross-border cooperation of emergency medical services, institutions and hospitals helps to reduce negative impact of national borders and consecutive discrimination of persons living and working in border regions. This study aims to explore the feasibility and effectiveness of a cross-border bilingual simulation training for emergency medical services within an INTERREG-VA-funded project.

Methods
Five days of simulation training for German and Polish paramedics in mixed groups were planned. Effectiveness of training and main learning objectives were evaluated as pre-post-comparisons and self-assessment by participants.

Results
Due to COVID-19 pandemic, only three of nine training modules with n = 16 participants could be realised. Cross-border-simulation training was ranked more positively and was perceived as more useful after the training compared to pretraining. Primary survey has been performed using ABCDE scheme in 18 of 21 scenarios, whereas schemes to obtain medical history have been applied incompletely. However, participants stated to be able to communicate with patients and relatives in 10 of 21 scenarios.

Conclusion
This study demonstrates feasibility of a bilingual cross-border simulation training for German and Polish rescue teams. Further research is highly needed to evaluate communication processes and intra-team interaction during bilingual simulation training and in cross-border emergency medical services rescue operations.
Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization
Authors: Stoessel Daniel , Fa Rui , Artemova Svetlana , von Schenck Ursula , Nowparast Rostami Hadiseh , Madiot Pierre-Ephrem , Landelle Caroline , Olive Fréderic , Foote Alison , Moreau-Gaudry Alexandre , Bosson Jean-Luc 
Published: November 2023

AbstractBackgroundIn France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patients at high risk of dying in hospital is essential.MethodsWe used de-identified routine patient data available in the first 2 days of hospitalization in a French University Hospital (between 2016 and 2018) to build models predicting in-hospital mortality (at ≥ 2 and ≤ 30 days after admission). We tested nine different machine learning algorithms with repeated 10-fold cross-validation. Models were trained with 283 variables including age, sex, socio-determinants of health, laboratory test results, procedures (Classification of Medical Acts), medications (Anatomical Therapeutic Chemical code), hospital department/unit and home address (urban, rural etc.). The models were evaluated using various performance metrics. The dataset contained 123,729 admissions, of which the outcome for 3542 was all-cause in-hospital mortality and 120,187 admissions (no death reported within 30 days) were controls.ResultsThe support vector machine, logistic regression and Xgboost algorithms demonstrated high discrimination with a balanced accuracy of 0.81 (95%CI 0.80–0.82), 0.82 (95%CI 0.80–0.83) and 0.83 (95%CI 0.80–0.83) and AUC of 0.90 (95%CI 0.88–0.91), 0.90 (95%CI 0.89–0.91) and 0.90 (95%CI 0.89–0.91) respectively. The most predictive variables for in-hospital mortality in all three models were older age (greater risk), and admission with a confirmed appointment (reduced risk).ConclusionWe propose three highly discriminating machine-learning models that could improve clinical and organizational decision making for adult patients at hospital admission.
A systematic review of the development and application of home cage monitoring in laboratory mice and rats
Authors: Kahnau Pia , Mieske Paul , Wilzopolski Jenny , Kalliokoski Otto , Mandillo Silvia , Hölter Sabine M. , Voikar Vootele , Amfim Adriana , Badurek Sylvia , Bartelik Aleksandra , Caruso Angela , Čater Maša , Ey Elodie , Golini Elisabetta , Jaap Anne , Hrncic Dragan , Kiryk Anna , Lang Benjamin , Loncarevic-Vasiljkovic Natasa , Meziane Hamid , Radzevičienė Aurelija , Rivalan Marion , Scattoni Maria Luisa , Torquet Nicolas , Trifkovic Julijana , Ulfhake Brun , Thöne-Reineke Christa , Diederich Kai , Lewejohann Lars , Hohlbaum Katharina 
Published: November 2023

Abstract
Background
Traditionally, in biomedical animal research, laboratory rodents are individually examined in test apparatuses outside of their home cages at selected time points. However, the outcome of such tests can be influenced by various factors and valuable information may be missed when the animals are only monitored for short periods. These issues can be overcome by longitudinally monitoring mice and rats in their home cages. To shed light on the development of home cage monitoring (HCM) and the current state-of-the-art, a systematic review was carried out on 521 publications retrieved through PubMed and Web of Science.

Results
Both the absolute (~ × 26) and relative (~ × 7) number of HCM-related publications increased from 1974 to 2020. There was a clear bias towards males and individually housed animals, but during the past decade (2011–2020), an increasing number of studies used both sexes and group housing. In most studies, animals were kept for short (up to 4 weeks) time periods in the HCM systems; intermediate time periods (4–12 weeks) increased in frequency in the years between 2011 and 2020. Before the 2000s, HCM techniques were predominantly applied for less than 12 h, while 24-h measurements have been more frequent since the 2000s. The systematic review demonstrated that manual monitoring is decreasing in relation to automatic techniques but still relevant. Until (and including) the 1990s, most techniques were applied manually but have been progressively replaced by automation since the 2000s. Independent of the year of publication, the main behavioral parameters measured were locomotor activity, feeding, and social behaviors; the main physiological parameters were heart rate and electrocardiography. External appearance-related parameters were rarely examined in the home cages. Due to technological progress and application of artificial intelligence, more refined and detailed behavioral parameters have been investigated in the home cage more recently.

Conclusions
Over the period covered in this study, techniques for HCM of mice and rats have improved considerably. This development is ongoing and further progress as well as validation of HCM systems will extend the applications to allow for continuous, longitudinal, non-invasive monitoring of an increasing range of parameters in group-housed small rodents in their home cages.
Cardiovascular events and venous thromboembolism after primary malignant or non-malignant brain tumour diagnosis: a population matched cohort study in Wales (United Kingdom)
Authors: Poon Michael T. C. , Brennan Paul M. , Jin Kai , Sudlow Cathie L. M. , Figueroa Jonine D. 
Published: November 2023

Abstract
Background
Elevated standardised mortality ratio of cardiovascular diseases (CVD) in patients with brain tumours may result from differences in the CVD incidences and cardiovascular risk factors. We compared the risk of CVD among patients with a primary malignant or non-malignant brain tumour to a matched general population cohort, accounting for other co-morbidities.

Methods
Using data from the Secured Anonymised Information Linkage (SAIL) Databank in Wales (United Kingdom), we identified all adults aged ≥ 18 years in the primary care database with first diagnosis of malignant or non-malignant brain tumour identified in the cancer registry in 2000–2014 and a matched cohort (case-to-control ratio 1:5) by age, sex and primary care provider from the general population without any cancer diagnosis. Outcomes included fatal and non-fatal major vascular events (stroke, ischaemic heart disease, aortic and peripheral vascular diseases) and venous thromboembolism (VTE). We used multivariable Cox models adjusted for clinical risk factors to compare risks, stratified by tumour behaviour (malignant or non-malignant) and follow-up period.

Results
There were 2869 and 3931 people diagnosed with malignant or non-malignant brain tumours, respectively, between 2000 and 2014 in Wales. They were matched to 33,785 controls. Within the first year of tumour diagnosis, malignant tumour was associated with a higher risk of VTE (hazard ratio [HR] 21.58, 95% confidence interval 16.12–28.88) and stroke (HR 3.32, 2.44–4.53). After the first year, the risks of VTE (HR 2.20, 1.52–3.18) and stroke (HR 1.45, 1.00–2.10) remained higher than controls. Patients with non-malignant tumours had higher risks of VTE (HR 3.72, 2.73–5.06), stroke (HR 4.06, 3.35–4.93) and aortic and peripheral arterial disease (HR 2.09, 1.26–3.48) within the first year of diagnosis compared with their controls.

Conclusions
The elevated CVD and VTE risks suggested risk reduction may be a strategy to improve life quality and survival in people with a brain tumour.
The impact of SARS-CoV-2 infection in patients with cystic fibrosis undergoing CFTR channel modulators treatment: a literature review
Authors: Vitiello Antonio , Sabbatucci Michela , Silenzi Andrea , Capuano Annalisa , Rossi Francesco , Zovi Andrea , Blasi Francesco , Rezza Giovanni 
Published: November 2023

AbstractSeveral risk factors for Coronavirus-2019 (COVID-19) disease have been highlighted in clinical evidence. Among the various risk factors are advanced age, metabolic illness such as diabetes, heart disease, and diseases of the respiratory system. Cystic Fibrosis (CF) is a rare disease with autosomal recessive transmission, characterised by a lack of synthesis of the CFTR channel protein, and multi-organ clinical symptoms mainly affecting the respiratory tract with recurrent pulmonary exacerbations. In view of the pathophysiological mechanisms, CF disease should be in theory considered a risk factor for SARS-CoV2 or severe COVID-19. However, recent clinical evidence seems to point in the opposite direction, suggesting that CF could be a protective factor against severe COVID-19. Possibly, the lack of presence or function of the CFTR channel protein could be linked to the expression of the membrane glycoprotein ACE-2, a key enzyme for the endocellular penetration of SARS-CoV-2 and related to the pathophysiology of COVID-19 disease. Furthermore, CFTR channel modulating agents could indirectly influence the expression of ACE-2, playing an important role in restoring the proper functioning of mucociliary clearance and the pulmonary microbiome in the host response to SARS-CoV-2 infection. In this review, the authors attempt to shed light on these important associations of issues that are not yet fully elucidated.
The synergy of serum SFRP5 levels and the TyG index in predicting coronary artery disease and prognosing major adverse cardiovascular events
Authors: Jia Lin , Shang Shimei , Yang Yu , Zhang Jian , Lin Xianhe 
Published: November 2023

Abstract
Background and aims
Secreted frizzled-related protein 5 (SFRP5) is a member of the SFRP family that is known for its potent anti-inflammatory properties. Nevertheless, little is known regarding the relevance of SFRP5 in coronary artery disease (CAD). The current study examined the correlation between serum levels of SFRP5 and the triglyceride-glucose (TyG) index in patients who underwent coronary angiography (CAG) as a component of cardiovascular assessment and for the purpose of prognosis evaluation.

Methods
A total of 310 hospitalized patients were enrolled in this study between May 2021 and March 2022 and were divided into three groups based on their CAG results and SYNTAX (synergy between PCI with TAXUS drug-eluting stent and cardiac surgery) scores: the control group, mild lesion group, and moderate-severe lesion group. Univariate and multivariate analyses were employed to investigate the relationships between changes in patients and clinical variables. To investigate the impact of the TyG index and serum SFRP5 levels on the occurrence of major adverse cardiovascular events (MACEs), Kaplan‒Meier curves were plotted. Serum SFRP5 levels were measured utilizing an enzyme-linked immunosorbent assay (ELISA) kit.

Results
The serum SFRP5 levels significantly decreased with the increasing severity and complexity of CAD, while the TyG index significantly increased (P < 0.001). Moreover, a significant negative correlation was observed between the serum SFRP5 levels and the TyG index (r = -0.312, P < 0.001). SFRP5 exerts a protective role in different groups of patients. The area under the receiver operating characteristic (ROC) curve indicated that an SFRP5 concentration > 115.58 pg/mL was the best predictive value for CAD (OR:0.87, P < 0.001). MACEs were significantly associated with serum SFRP5 levels and the TyG index, as indicated by both univariate and multivariate Cox regression analyses (P < 0.001). Furthermore, Kaplan‒Meier analysis indicated that as the TyG index decreased and SFRP5 levels increased, the occurrence of MACEs decreased (P < 0.001). Patients with a concentration of SFRP5 > 115.58 pg/mL and a TyG index < 8.49 exhibited a better prognosis for avoiding MACEs (P < 0.001).

Conclusion
These results suggest that the collaboration between serum SFRP5 levels and the TyG index holds promise in predicting CAD and its prognosis.
USP39 interacts with SIRT7 to promote cervical squamous cell carcinoma by modulating autophagy and oxidative stress via FOXM1
Authors: Yu Juanpeng , Yuan Shuai , Song Jinglin , Yu Shengsheng 
Published: November 2023

Abstract
Background
Sirtuin 7 (SIRT7) is an oncogene that promotes tumor progression in various malignancies, however, its role and regulatory mechanism in cervical squamous cell carcinoma (CSCC) is unknown. Herein, we attempted to investigate the functional role and molecular mechanism of SIRT7 underlying CSCC progression.

Methods
SIRT7 expression was evaluated in CSCC cells using various assays. We then used a series of function gain-and-loss experiments to determine the role of SIRT7 in CSCC progression. Furthermore, mechanism experiments were conducted to assess the interaction between SIRT7/USP39/FOXM1 in CSCC cells. Additionally, rescue assays were conducted to explore the regulatory function of USP39/FOXM1 in CSCC cellular processes.

Results
SIRT7 was highly expressed in CSCC patient tissues and cell lines. SIRT7 deficiency showed significant repression on the proliferation, and autophagy of CSCC cells in vitro and tumorigenesis in vivo. Similarly, apoptosis and ROS production in CSCC cells were accelerated after the SIRT7 knockdown. Moreover, SIRT7 and USP39 were found colocalized in the cell nucleus. Interestingly, SIRT7 was revealed to deacetylate USP39 to promote its protein stability in CSCC cells. USP39 protein was also verified to be upregulated in CSCC tissues and cells. USP39 silencing showed suppressive effects on CSCC cell growth. Mechanistically, USP39 was revealed to upregulate SIRT7 by promoting the transcriptional activity of FOXM1. Rescue assays also indicated that SIRT7 promoted autophagy and inhibited ROS production in CSCC cells by regulating USP39/FOXM1.

Conclusion
The SIRT7/USP39/FOXM1 positive feedback network regulates autophagy and oxidative stress in CSCC, thus providing a new direction for CSCC-targeted therapy.

Graphical Abstract