bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analysis of two navigation techniques based on augmented reality technology for the orthodontic mini-implants placement
Authors: Riad Deglow Elena , Zubizarreta-Macho Álvaro , González Menéndez Héctor , Lorrio Castro Juan , Galparsoro Catalán Agustín , Tzironi Georgia , Lobo Galindo Ana Belén , Alonso Ezpeleta Luis Óscar , Hernández Montero Sofía 
Published: August 2023

AbstractTo analyze and compare the accuracy and root contact prevalence, comparing a conventional freehand technique and two navigation techniques based on augmented reality technology for the orthodontic self-drilling mini-implants placement. Methods Two hundred and seven orthodontic self-drilling mini-implants were placed using either a conventional freehand technique (FHT) and two navigation techniques based on augmented reality technology (AR TOOTH and AR SCREWS). Accuracy across different dental sectors was also analyzed. CBCT and intraoral scans were taken both prior to and following orthodontic self-drilling mini-implants placement. The deviation angle and horizontal were then analyzed; these measurements were taken at the coronal entry point and apical endpoint between the planned and performed orthodontic self-drilling mini-implants. In addition, any complications resulting from mini-implant placement, such as spot perforations, were also analyzed across all dental sectors.Results The statistical analysis showed significant differences between study groups with regard to the coronal entry-point (p < 0.001), apical end-point(p < 0.001) and angular deviations (p < 0.001). Furthermore, statistically significant differences were shown between the orthodontic self-drilling mini-implants placement site at the coronal entry-point (p < 0.0001) and apical end-point (p < 0.001). Additionally, eight root perforations were observed in the FHT group, while there were no root perforations in the two navigation techniques based on augmented reality technology.Conclusions The navigation techniques based on augmented reality technology has an effect on the accuracy of orthodontic self-drilling mini-implants placement and results in fewer intraoperative complications, comparing to the conventional free-hand technique. The AR TOOTH augmented reality technique showed more accurate results between planned and placed orthodontic self-drilling mini-implants, comparing to the AR SCREWS and conventional free-hand techniques. The navigation techniques based on augmented reality technology showed fewer intraoperative complications, comparing to the conventional free-hand technique.
Designing and psychometric properties of the hospitalized patients’ spiritual needs questionnaire (HPSNQ) in the medical-surgical hospital setting
Authors: Hosseini Fahimeh Alsadat , Momennasab Marzieh , Guàrdia-Olmos Joan , Yektatalab Shahrzad , Shaygan Maryam , Zareiyan Armin 
Published: August 2023

AbstractBackgroundThe evaluation of spiritual requirements in patients can facilitate the delivery of spiritual care as an essential element of holistic healthcare. The objective of this research was to develop and evaluate the psychometric properties of a questionnaire on patients’ spiritual needs in medical-surgical hospital settings.MethodsThis research utilized an exploratory sequential design, involving the creation of a pool of items through both inductive and deductive methods. The questionnaire’s psychometric properties were then assessed using various techniques, such as face and content validity, item analysis, construct validity, internal consistency, stability, confirmatory factor analysis, and the Gradual Response Model of Samejima. The data analysis was conducted using MPLUS software, version 5.1.ResultsThe study’s results showed that a four-factor structure (interpersonal connectedness, relationship with God, transcendence, and peaceful environment) with 43 items was successfully extracted through exploratory factor analysis. The confirmatory factor analysis supported the findings of the exploratory factor analysis. The Cronbach’s alpha coefficients for the scale and factors ranged between 0.83 and 0.95. Furthermore, the interclass correlation coefficients for the scale and factors were between 0.89 and 0.96.ConclusionsThe questionnaire designed in this study is a reliable and valid instrument that can be utilized by healthcare, educational, and research institutions to evaluate the spiritual needs of patients in medical-surgical hospital settings.
Association between hospital competition and quality of prostate cancer care
Authors: Jayadevappa Ravishankar , Malkowicz S. Bruce , Vapiwala Neha , Guzzo Thomas J. , Chhatre Sumedha 
Published: August 2023

Abstract
Background
Hospitals account for approximately 6% of United States’ gross domestic product. We examined the association between hospital competition and outcomes in elderly with localized prostate cancer (PCa). We also assessed if race moderated this association.

Methods
Retrospective study using Surveillance, Epidemiology, and End Results (SEER) – Medicare database. Cohort included fee-for-service, African American and white men aged ≥ 66, diagnosed with localized PCa between 1998 and 2011 and their claims between 1997 and 2016.
We used Hirschman-Herfindahl index (HHI) to measure of hospital competition. Outcomes were emergency room (ER) visits, hospitalizations, Medicare expenditure and mortality assessed in acute survivorship phase (two years post-PCa diagnosis), and long-term mortality. We used Generalized Linear Models for analyzing expenditure, Poisson models for ER visits and hospitalizations, and Cox models for mortality. We used propensity score to minimize bias.

Results
Among 253,176 patients, percent change in incident rate of ER visit was 17% higher for one unit increase in HHI (IRR: 1.17, 95% CI: 1.15–1.19). Incident rate of ER was 24% higher for whites and 48% higher for African Americans. For one unit increase in HHI, hazard of short-term all-cause mortality was 7% higher for whites and 11% lower for African Americans. The hazard of long-term all-cause mortality was 10% higher for whites and 13% higher for African Americans.

Conclusions
Lower hospital competition was associated with impaired outcomes of localized PCa care. Magnitude of impairment was higher for African Americans, compared to whites. Future research will explore process through which competition affects outcomes and racial disparity.
Validation of clinical-radiological scores for prognosis of mortality in acute pulmonary embolism
Authors: Surov Alexey , Thormann Maximilian , Bär Caroline , Wienke Andreas , Borggrefe Jan 
Published: August 2023

Abstract
Introduction
Acute pulmonary embolism (APE) is a hazardous disorder with a high mortality. Combination of clinical, radiological, and serological parameters can improve risk stratification of APE. Most of the proposed combined scores were not validated in independent cohorts. Our aim was to validate the proposed clinical-radiological scores for prognosis of 7- and 30-day mortality in APE.

Materials and methods
Our sample comprised 531 patients with APE, mean age 64.8 ± 15.6 years, 221 (41.6%) females and 310 (58.4%) males. The following parameters were collected: Age and sex of the patients, mortality within the observation time of 30 days, simplified pulmonary embolism severity index (sPESI), pH troponin level (pg/ml), minimal systolic and diastolic blood pressures (mmHg), heart rate, O2 saturation, episodes of syncope, and need for vasopressors. On CT pulmonary angiography (CTPA), short axis ratio right ventricle/left ventricle (RV/LV), and reflux of contrast medium into the inferior vena cava were obtained. The following clinical-radiological scores were calculated: BOVA score, pulmonary embolism mortality score (PEMS), European Society of Cardiology (ESC) score, Kumamaru score, and Calgary acute pulmonary embolism (CAPE) score.

Results
Overall, 31 patients (5.8%) died within seven and 64 patients (12%) within 30 days. All scores showed high negative prognostic values ranging from 89.0 to 99.0%. PEMS and CAPE score demonstrated the highest specificity for 7-day mortality (93.4% and 85.0%), PEMS and BOVA for 30-day mortality (94.2% and 90.4%). The highest sensitivity was observed for ESC 2019 (96.8% and 95.3%). Kumamaru and CAPE scores had low sensitivity. All scores had low positive and high negative predictive values.

Conclusion
For prognosis of 7- and 30-day mortality in APE, PEMS score has the highest specificity. ESC 2019 shows the highest sensitivity. All scores had low positive and high negative predictive values.
Strategies for improving the production of bio-based vanillin
Authors: Liu Ying , Sun Lichao , Huo Yi-Xin , Guo Shuyuan 
Published: August 2023

AbstractVanillin (4-hydroxy-3-methoxybenzaldehyde) is one of the most popular flavors with wide applications in food, fragrance, and pharmaceutical industries. However, the high cost and limited yield of plant extraction failed to meet the vast market demand of natural vanillin. Vanillin biotechnology has emerged as a sustainable and cost-effective alternative to supply vanillin. In this review, we explored recent advances in vanillin biosynthesis and highlighted the potential of vanillin biotechnology. In particular, we addressed key challenges in using microorganisms and provided promising approaches for improving vanillin production with a special focus on chassis development, pathway construction and process optimization. Future directions of vanillin biosynthesis using inexpensive precursors are also thoroughly discussed.
BRAF(V600E) mutation together with loss of Trp53 or pTEN drives the origination of hairy cell leukemia from B-lymphocytes
Authors: Yap Jiajun , Yuan Jimin , Ng Wan Hwa , Chen Gao Bin , Sim Yuen Rong M. , Goh Kah Chun , Teo Joey , Lim Trixie Y. H. , Goay Shee Min , Teo Jia Hao Jackie , Lao Zhentang , Lam Paula , Sabapathy Kanaga , Hu Jiancheng 
Published: August 2023

AbstractHairy cell leukemia (HCL) is a B-lymphoma induced by BRAF(V600E) mutation. However, introducing BRAF(V600E) in B-lymphocytes fails to induce hematological malignancy, suggesting that BRAF(V600E) needs concurrent mutations to drive HCL ontogeny. To resolve this issue, here we surveyed human HCL genomic sequencing data. Together with previous reports, we speculated that the tumor suppressor TP53, P27, or PTEN restrict the oncogenicity of BRAF(V600E) in B-lymphocytes, and therefore that their loss-of-function facilitates BRAF(V600E)-driven HCL ontogeny. Using genetically modified mouse models, we demonstrate that indeed BRAF(V600E)KI together with Trp53KO or pTENKO in B-lymphocytes induces chronic lymphoma with pathological features of human HCL. To further understand the cellular programs essential for HCL ontogeny, we profiled the gene expression of leukemic cells isolated from BRAF(V600E)KI and Trp53KO or pTENKO mice, and found that they had similar but different gene expression signatures that resemble that of M2 or M1 macrophages. In addition, we examined the expression signature of transcription factors/regulators required for germinal center reaction and memory B cell versus plasma cell differentiation in these leukemic cells and found that most transcription factors/regulators essential for these programs were severely inhibited, illustrating why hairy cells are arrested at a transitional stage between activated B cells and memory B cells. Together, our study has uncovered concurrent mutations required for HCL ontogeny, revealed the B cell origin of hairy cells and investigated the molecular basis underlying the unique pathological features of the disease, with important implications for HCL research and treatment.
Anlotinib plus icotinib as a potential treatment option for EGFR-mutated advanced non-squamous non-small cell lung cancer with concurrent mutations: final analysis of the prospective phase 2, multicenter ALTER-L004 study
Authors: Zhang Linlin , Wang Liuchun , Wang Jingya , Chen Jinliang , Meng Zhaoting , Liu Zhujun , Jiang Xiangli , Wang Xinyue , Huang Chun , Chen Peng , Liang Yan , Jiang Richeng , Wang Jing , Zhong Diansheng , Shang Yanhong , Zhang Yan , Zhang Cuiying , Huang Dingzhi 
Published: August 2023

Abstract
Background
Non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutation and concurrent mutations have a poor prognosis. This study aimed to examine anlotinib plus icotinib as a first-line treatment option for advanced NSCLC carrying EGFR mutation with or without concurrent mutations.

Methods
This phase 2, single-arm, multicenter trial (ClinicalTrials.gov NCT03736837) was performed at five hospitals in China from December 2018 to November 2020. Non-squamous NSCLC cases with EGFR-sensitizing mutations were treated with anlotinib and icotinib. The primary endpoint was progression-free survival (PFS). Secondary endpoints included the objective response rate (ORR), disease control rate (DCR), overall survival (OS), and toxicity.

Results
Sixty participants were enrolled, including 31 (52%) and 29 (48%) with concurrent mutations and pathogenic concurrent mutations, respectively. The median follow-up was 26.9 (range, 15.0-38.9) months. ORR and DCR were 68.5% and 98.2%, respectively. Median PFS was 15.1 (95%CI: 12.6–17.6) months which met the primary endpoint, median DoR was 13.5 (95%CI: 10.0-17.1) months, and median OS was 30.0 (95%CI: 25.5–34.5) months. Median PFS and OS in patients with pathogenic concurrent mutations were 15.6 (95%CI: 12.5–18.7) months and not reached (95%CI: 17.46 months to not reached), respectively. All patients experienced TRAEs, including 26 (43%) and 1 (1.7%) who had grade ≥ 3 and serious treatment-related adverse events (TRAEs).

Conclusions
Anlotinib combined with icotinib was effective and well-tolerated as a first-line treatment option for EGFR mutation-positive advanced NSCLC with or without concurrent mutations.

Trial registration
ClinicalTrials.gov identifier: NCT03736837.
Serum proteomic identification and validation of two novel atherosclerotic aortic aneurysm biomarkers, profilin 1 and complement factor D
Authors: Murakami Yusuke , Nishigori Mitsuhiro , Yagi Hiroaki , Osaki Tsukasa , Wakabayashi Masaki , Shirai Manabu , Son Cheol , Iba Yutaka , Minatoya Kenji , Kusano Kengo , Tomita Tsutomu , Ishibashi-Ueda Hatsue , Matsuda Hitoshi , Minamino Naoto 
Published: August 2023

Abstract
Background
Effective diagnostic biomarkers for aortic aneurysm (AA) that are detectable in blood tests are required because early detection and rupture risk assessment of AA can provide insights into medical therapy and preventive treatments. However, known biomarkers for AA lack specificity and reliability for clinical diagnosis.

Methods
We performed proteome analysis of serum samples from patients with atherosclerotic thoracic AA (TAA) and healthy control (HC) subjects to identify diagnostic biomarkers for AA. Serum samples were separated into low-density lipoprotein, high-density lipoprotein, and protein fractions, and the major proteins were depleted. From the proteins identified in the three fractions, we narrowed down biomarker candidates to proteins uniformly altered in all fractions between patients with TAA and HC subjects and evaluated their capability to discriminate patients with TAA and those with abdominal AA (AAA) from HC subjects using receiver operating characteristic (ROC) analysis. For the clinical validation, serum concentrations of biomarker candidates were measured in patients with TAA and AAA registered in the biobank of the same institute, and their capability for the diagnosis was evaluated.

Results
Profilin 1 (PFN1) and complement factor D (CFD) showed the most contrasting profiles in all three fractions between patients with TAA and HC subjects and were selected as biomarker candidates. The PFN1 concentration decreased, whereas the CFD concentration increased in the sera of patients with TAA and AAA when compared with those of HC subjects. The ROC analysis showed that these proteins could discriminate patients with TAA and AAA from HC subjects. In the validation study, these candidates showed significant concentration differences between patients with TAA or AAA and controls. PFN1 and CFD showed sufficient area under the curve (AUC) in the ROC analysis, and their combination further increased the AUC. The serum concentrations of PFN1 and CFD also showed significant differences between patients with aortic dissection and controls in the validation study.

Conclusion
PFN1 and CFD are potential diagnostic biomarkers for TAA and AAA and measurable in blood samples; their diagnostic performance can be augmented by their combination. These biomarkers may facilitate the development of diagnostic systems to identify patients with AA.
Three-dimensional visualization and evaluation of hilar cholangiocarcinoma resectability and proposal of a new classification
Authors: Zhang Jun-Zhe , Yang Chuan-Xin , Gao Si , Bu Jun-Feng , Li Qin-Qin , Wang Hao-Lu , Yang Kai-Ni , Tong Shan-Shi , Qian Li-Jun , Zhang Jin , Hua Rong , Sun Yong-Wei , Yan Jia-Yan , Chen Wei 
Published: August 2023

Abstract
Background
As digital medicine has exerted profound influences upon diagnosis and treatment of hepatobiliary diseases, our study aims to investigate the accuracy of three-dimensional visualization and evaluation (3DVE) system in assessing the resectability of hilar cholangiocarcinoma (hCCA), and explores its potential clinical value.

Materials and methods
The discovery cohort, containing 111 patients from April 2013 to December 2019, was retrospectively included to determine resectability according to revised criteria for unresectability of hCCA. 3D visualization models were reconstructed to evaluate resectability parameters including biliary infiltration, vascular involvement, hepatic atrophy and metastasis. Evaluation accuracy were compared between contrast-enhanced CT and 3DVE. Logistic analysis was performed to identify independent risk factors of R0 resection. A new comprehensive 3DVE classification of hCCA based on factors influencing resectability was proposed to investigate its role in predicting R0 resection and prognosis. The main outcomes were also analyzed in cohort validation, including 34 patients from January 2020 to August 2022.

Results
3DVE showed an accuracy rate of 91% (95%CI 83.6–95.4%) in preoperatively evaluating hCCA resectability, significantly higher than 81% (95%CI 72.8–87.7%) of that of CT (p = 0.03). By multivariable analysis, hepatic artery involvement in 3DVE was identified an independent risk factor for R1 or R2 resection (OR = 3.5, 95%CI 1.4,8.8, P < 0.01). New 3DVE hCCA classification was valuable in predicting patients’ R0 resection rate (p < 0.001) and prognosis (p < 0.0001). The main outcomes were internally validated.

Conclusions
3DVE exhibited a better efficacy in evaluating hCCA resectability, compared with contrast-enhanced CT. Preoperative 3DVE demonstrated hepatic artery involvement was an independent risk factor for the absence of R0 margin. 3DVE classification of hCCA was valuable in clinical practice.
Spatial tumour gene signature discriminates neoplastic from non-neoplastic compartments in colon cancer: unravelling predictive biomarkers for relapse
Authors: Sallinger Katja , Gruber Michael , Müller Christin-Therese , Bonstingl Lilli , Pritz Elisabeth , Pankratz Karin , Gerger Armin , Smolle Maria Anna , Aigelsreiter Ariane , Surova Olga , Svedlund Jessica , Nilsson Mats , Kroneis Thomas , El-Heliebi Amin 
Published: August 2023

Abstract
Background
Opting for or against the administration of adjuvant chemotherapy in therapeutic management of stage II colon cancer remains challenging. Several studies report few survival benefits for patients treated with adjuvant therapy and additionally revealing potential side effects of overtreatment, including unnecessary exposure to chemotherapy-induced toxicities and reduced quality of life. Predictive biomarkers are urgently needed. We, therefore, hypothesise that the spatial tissue composition of relapsed and non-relapsed colon cancer stage II patients reveals relevant biomarkers.

Methods
The spatial tissue composition of stage II colon cancer patients was examined by a novel spatial transcriptomics technology with sub-cellular resolution, namely in situ sequencing. A panel of 176 genes investigating specific cancer-associated processes such as apoptosis, proliferation, angiogenesis, stemness, oxidative stress, hypoxia, invasion and components of the tumour microenvironment was designed to examine differentially expressed genes in tissue of relapsed versus non-relapsed patients. Therefore, FFPE slides of 10 colon cancer stage II patients either classified as relapsed (5 patients) or non-relapsed (5 patients) were in situ sequenced and computationally analysed.

Results
We identified a tumour gene signature that enables the subclassification of tissue into neoplastic and non-neoplastic compartments based on spatial expression patterns obtained through in situ sequencing. We developed a computational tool called Genes-To-Count (GTC), which automates the quantification of in situ signals, accurately mapping their position onto the spatial tissue map and automatically identifies neoplastic and non-neoplastic tissue compartments. The GTC tool was used to quantify gene expression of biological processes upregulated within the neoplastic tissue in comparison to non-neoplastic tissue and within relapsed versus non-relapsed stage II colon patients. Three differentially expressed genes (FGFR2, MMP11 and OTOP2) in the neoplastic tissue compartments of relapsed patients in comparison to non-relapsed patients were identified predicting recurrence in stage II colon cancer.

Conclusions
In depth spatial in situ sequencing showed potential to provide a deeper understanding of the underlying mechanisms involved in the recurrence of disease and revealed novel potential predictive biomarkers for disease relapse in colon cancer stage II patients. Our open-access GTC-tool allowed us to accurately capture the tumour compartment and quantify spatial gene expression in colon cancer tissue.
Machine learning algorithms to predict risk of postoperative pneumonia in elderly with hip fracture
Authors: Guo Jiale , He Qionghan , Peng Caiju , Dai Ru , Li Wei , Su Zhichao , Li Yehai 
Published: August 2023

Abstract
Background
Hip fracture (HF) is one of the most common fractures in the elderly and is significantly associated with high mortality and unfavorable prognosis. Postoperative pneumonia (POP), the most common postoperative complication of HF, can seriously affect patient prognosis and increase the burden on the healthcare system. The aim of this study was to develop machine learning models for identifying elderly patients at high risk of pneumonia after hip fracture surgery.

Methods
From May 2016 to November 2022, patients admitted to a single central hospital for HF served as the study population. We extracted data that could be collected within 24 h of patient admission. The dataset was divided into training and validation sets according to 70:30. Based on the screened risk factors, prediction models were developed using seven machine learning algorithms, namely CART, GBM, KNN, LR, NNet, RF, and XGBoost, and their performance was evaluated.

Results
Eight hundred five patients were finally included in the analysis and 75 (9.3%) patients suffered from POP. Age, CI, COPD, WBC, HB, GLU, STB, GLOB, Ka+ which are used as features to build machine learning models. By evaluating the model's AUC value, accuracy, sensitivity, specificity, Kappa value, MCC value, Brier score value, calibration curve, and DCA curve, the model constructed by XGBoost algorithm has the best and near-perfect performance.

Conclusion
The machine learning model we created is ideal for detecting elderly patients at high risk of POP after HF at an early stage.