bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Diagnostic Accuracy of Sonography for Detecting Placenta Accreta Spectrum in Pregnant Women, With Placenta Previa
Authors: Golshan Rosa , Faraji Ali , Ahmadi Mohtasham Masoumeh , Eghbali Elham , Ghatrehsamani Fatemeh , Khalafi Mohammad , Karbasi Mahsa 
Published: June 2023

Objective: A placenta accreta spectrum (PAS) refers to a condition in which there is an abnormal penetration of the placenta, within the walls of the uterus. This study was designed to assess the overall diagnostic accuracy of sonography in detecting myometrium invasion of the placenta, in pregnant women with placenta previa (PP). Materials and Methods: In this study, 70 participants were placed into groups with either an anterior placenta (APL) or a posterior placenta (PPL). An experienced radiologist examined the participants. At least two well-known diagnostic sonographic signs were considered, as the diagnostic criteria of PAS. Results: Sonography diagnosed 30 cases of PAS out of 43 confirmed cases, with a sensitivity of 70%, specificity of 77%, positive predictive value (PPV) of 83% and negative predictive value (NPV) of 61%, accuracy of 72.8%, precision of 69.1%, diagnostic odd ratio (DOR) of 21.06, and an F measure of 0.71. Detection rates were higher in cases of the APL (sensitivity: 78%, specificity: 91%, PPV: 94%, NPV: 68%, accuracy: 82.8%, precision: 78.2%, DOR: 39.12, and an F measure: 0.78). The review of sonograms allowed for the detection of seven cases (10%) of PAS appropriately. Conclusion: The sonographic results seem to be more accurate among individuals with APL than PPL. A replication of this study, with multicenter participation is recommended, especially in cases of PPL.
Characterization of calcined red soil applied in the removal of methylene blue dye from wastewater to produce a hybrid pigment
Authors: Silva Daiane L. , Balaba Nayara , Horsth Dienifer F.L. , Jaerger Silvia , Anaissi Fauze J. 
Published: June 2023

AbstractWe obtained natural red soil (RS), rich in iron, from the region of Palotina in the state of Paraná, Brazil. The RS sample was purified by suspension in water and sieved to remove plant particulates. It was then treated thermally at 800°C to remove organic volatiles; this sample was called RS800. The samples were characterized using X-ray diffraction, X-ray fluorescence, infrared and electronic spectroscopy, ζ-potential analysis and scanning electron microscopy. Colorimetric studies were performed according to the CIEL*a*b* system. Tests have shown that RS800 has the ability to remove methylene blue (MB) dye from wastewater. Thus, it was used as an adsorbent at various temperatures (25, 35, 45°C). According to the Langmuir model, the maximum adsorption capacity (qmax) was 23.256 mg g–1 (25°C). Unexpectedly, increasing temperature reduced qmax to 21.659 mg g–1 at 35°C and to 21.186 mg g–1 at 45°C. Therefore, RS800 must be used at room temperature (25°C), making its application in large-scale wastewater treatment feasible. After using RS800 as an adsorbent, the solids were filtered, dried, pulverized, and used as hybrid pigments in commercial white paints. Pigmented paints were used to paint a plaster specimen and colorimetric measurement was performed. These paints were tested for colour stability in acidic and alkaline environments. The results indicate that RS800 is efficient in the treatment of water contaminated with cationic dyes and can be reused as a hybrid pigment.
Sex-specific metabolic profiling to explain the increased CVD risk in women with migraine: a narrative review
Authors: van Welie F. C. , Kreft L. A. , Huisman J. M. A. , Terwindt G. M. 
Published: June 2023

Abstract
Background
Migraine is a disabling neurological disorder whose diagnosis is based on clinical criteria. A shortcoming of these criteria is that they do not fully capture the underlying neurobiological factors and sex-specific complications in migraine such as cardio- and cerebrovascular disease. Biomarker research can help to improve disease characterization and identify pathophysiological mechanism underlying these comorbidities.

Objective
In this narrative review we searched for sex-specific metabolomics research to identify markers that may explain the migraine-cardiovascular disease (CVD) relationship.

Discussion
Large-scale plasma metabolome analyses revealed alterations in migraine. Sex-specific findings showed a less CVD-protective HDL metabolism as well as the ApoA1 lipoprotein, especially for women with migraine. To explore other possible pathophysiological pathways, we expanded our review to include inflammatory markers, endothelial and vascular markers and sex hormones. Biological sex differences may affect the pathophysiology of migraine and its complications.

Conclusions
There is no general large dyslipidemia profile in migraine patients, in line with findings that the increased risk of CVD in migraine patients seems not to be due to (large artery) atherosclerosis. Sex-specific associations are indicative towards a less CVD-protective lipoprotein profile in women with migraine. Future studies into the pathophysiology of CVD and migraine need to take sex specific factors into account. By establishing the overlapping pathophysiological mechanism of migraine and CVD, and unraveling the associated effects these diseases exert on each other, better preventative measures can be identified.
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza
Authors: Russo Giulia , Crispino Elena , Maleki Avisa , Di Salvatore Valentina , Stanco Filippo , Pappalardo Francesco 
Published: June 2023

AbstractWhen it was first introduced in 2000, reverse vaccinology was defined as an in silico approach that begins with the pathogen's genomic sequence. It concludes with a list of potential proteins with a possible, but not necessarily, list of peptide candidates that need to be experimentally confirmed for vaccine production. During the subsequent years, reverse vaccinology has dramatically changed: now it consists of a large number of bioinformatics tools and processes, namely subtractive proteomics, computational vaccinology, immunoinformatics, and in silico related procedures. However, the state of the art of reverse vaccinology still misses the ability to predict the efficacy of the proposed vaccine formulation. Here, we describe how to fill the gap by introducing an advanced immune system simulator that tests the efficacy of a vaccine formulation against the disease for which it has been designed. As a working example, we entirely apply this advanced reverse vaccinology approach to design and predict the efficacy of a potential vaccine formulation against influenza H5N1. Climate change and melting glaciers are critical due to reactivating frozen viruses and emerging new pandemics. H5N1 is one of the potential strains present in icy lakes that can raise a pandemic. Investigating structural antigen protein is the most profitable therapeutic pipeline to generate an effective vaccine against H5N1. In particular, we designed a multi-epitope vaccine based on predicted epitopes of hemagglutinin and neuraminidase proteins that potentially trigger B-cells, CD4, and CD8 T-cell immune responses. Antigenicity and toxicity of all predicted CTL, Helper T-lymphocytes, and B-cells epitopes were evaluated, and both antigenic and non-allergenic epitopes were selected. From the perspective of advanced reverse vaccinology, the Universal Immune System Simulator, an in silico trial computational framework, was applied to estimate vaccine efficacy using a cohort of 100 digital patients.
The value of MRI for downgrading of breast suspicious lesions detected on ultrasound
Authors: Xie Zongyu , Xu Wenjie , Zhang Hongxia , Li Li , An Yongyu , Mao Guoqun 
Published: June 2023

Abstract
Background
Most of suspicious lesions classified as breast imaging reporting and data system (BI-RADS) 4A and 4B categories on ultrasound (US) were benign, resulting in unnecessary biopsies. MRI has a high sensitivity to detect breast cancer and high negative predictive value (NPV) to exclude malignancy. The purpose of this study was to investigate the value of breast MRI for downgrading of suspicious lesions with BI-RADS 4A and 4B categories on US.

Methods
Patients who underwent breast MRI for suspicious lesions classified as 4A and 4B categories were included in this retrospective study. Two radiologists were aware of the details of suspicious lesions detected on US and evaluated MR images. MRI BI-RADS categories were given by consensus on the basis on dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI). Pathological results and imaging follow-up at least 12 months were used as a reference standard. Sensitivity, specificity, positive predictive value (PPV), NPV and their 95% confidence interval (CI) were calculated for MRI findings.

Results
One sixty seven patients with 186 lesions (US 4A category: 145, US 4B category: 41) consisted of the study cohort. The malignancy rate was 34.9% (65/186). On MRI, all malignancies showed true-positive results and 92.6% (112/121) benign lesions were correctly diagnosed. MRI increased PPV from 34.9% (65/186) to 87.8% (65/74) and reduced the false-positive biopsies by 92.6% (112/121). The sensitivity, specificity, PPV and NPV of MRI were 100% (95% CI: 94.5%-100%), 92.6% (95% CI: 86.3%-96.5%), 87.8% (95% CI: 78.2%-94.3%) and 100% (95% CI: 96.8%-100%), respectively. 2.2% (4/186) of suspicious lesions were additionally detected on MRI, 75% (3/4) of which were malignant.

Conclusion
MRI could downgrade suspicious lesions classified as BI-RADS 4A and 4B categories on US and avoided unnecessary benign biopsies without missing malignancy. Additional suspicious lesions detected on MRI needed further work-up.
Prognostic role of E2F1 gene expression in human cancer: a meta-analysis
Authors: Li Jingjing , Bi Wen , Lu Fang , Pan Bei , Xiong Mengqiu , Nasifu Lubanga , Nie Zhenlin , He Bangshun 
Published: June 2023

Abstract
Objective
E2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data.

Method
PubMed, Web of Science and CNKI database were searched until May 31th, 2022 by using key words to retrieve the published essays on the role of E2F1 expression in the prognostic value of cancer. The essays were identified according to the inclusion and exclusion criteria. The pooled result of hazard ratio and 95% confidence interval was calculated with Stata17.0 software.

Result
A total of 17 articles were included in this study involved in 4481 cancer patients. The pooled results showed that higher E2F1 expression was significantly correlated with unfavorable overall survival (HR = 1.10, I2 = 95.3%, *PHeterogeneity = 0.000) and disease-free survival (HR = 1.41, I2 = 95.2%, *PHeterogeneity = 0.000) of cancer patients. Such a significant association of was maintained subgroup of sample size of patients (> 150: for OS, HR = 1.77, and for DFS, HR = 0.91; or < 150: for OS, HR = 1.93, and for DFS, HR = 4.39), ethnicity (Asian: for OS, HR = 1.65, and for DFS, HR = 1.08; or not Asian: HR = 3.55, and for DFS, HR = 2.87), the data from database (clinical: for OS, HR = 1.24, and for DFS, HR = 1.40; or database: for OS, HR = 2.29, and for DFS, HR = 3.09), paper published year (after 2014: for OS, HR = 1.90;and for DFS,HR = 1.87; or before 2014: for OS, HR = 1.40, and for DFS, HR = 1.22); cancer type (female specific cancer: for OS, HR = 1.41, and for DFS, HR = 0.64; or non-gender specific cancers: for OS, HR = 2.00, and for DFS, HR = 2.95). In addition, according to the database data, we also found that higher E2F1 expression level would lead to worse prognosis of patients, and the results were consistent with the statistical analysis results in the paper.

Conclusion
E2F1 could be served as a prognostic biomarker in cancer patients and higher levels of in cancer patients could predict shorter overall survival and disease-free survival.
Incidence, survival, and associated factors estimation in osteosarcoma patients with lung metastasis: a single-center experience of 11 years in Tianjin, China
Authors: Zhang Chao , Wu Haixiao , Xu Guijun , Xu Yao , Ma Wenjuan , Li Zhijun , Zhang Jin 
Published: June 2023

Abstract
Background
Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis.

Methods
From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. The Cox proportional hazard regression analysis was performed to analyze the prognostic factors of all osteosarcoma patients and those patients with lung metastasis, respectively. Furthermore, risk factors for developing lung metastasis were identified in synchronous lung metastasis (SLM) and metachronous lung metastasis (MLM) patients.

Results
A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteosarcoma was 70.0% and the survival months for patients with SLM and MLM were 33.3 ± 12.6 and 45.8 ± 7.4 months, respectively. The presence of lung metastasis was one of the independent prognostic factors for prognosis of osteosarcoma. In patients with lung metastasis, twenty-one (10.3%) showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) were diagnosed with lung metastases during the later course. T3 stage (OR = 11.415, 95%CI 1.362–95.677, P = 0.025) and bone metastasis (OR = 6.437, 95%CI 1.69–24.51, P = 0.006) were risk factors of SLM occurrence. Bone metastasis (OR = 1.842, 95%CI 1.053–3.224, P = 0.032), good necrosis (≥ 90%, OR = 0.032, 95%CI 0.050–0.412, P < 0.001), elevated Ki-67 (OR = 2.958, 95%CI 1.098–7.969, P = 0.032) and elevated LDH (OR = 1.791, 95%CI 1.020–3.146, P = 0.043) were proved to be independent risk factors for developing MLM.

Conclusion
The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.
Systemic aspergillosis in a patient with interferon gamma receptor 1 deficiency; a case report
Authors: Esmaeilzadeh Hossein , Chavoshzadeh Zahra , Nabavizadeh Seyed Hesamedin , Alyasin Soheila , Amanati Ali , Askarisarvestani Aida 
Published: June 2023

Abstract
Background
Interferon-gamma receptor deficiency is a heterogeneous spectrum of disease which involves mutations in IFNGR1, IFNGR2 genes, and the downstream signaling proteins such as STAT1. These mutations are associated with immunodeficiency 27 A and 27B, making the patient prone to mycobacterial infections. Patients with this condition are also at increased risk for affliction with viral and bacterial infections, such as with the Herpesviridae family, Listeria, and Salmonella. Moreover, SH2B3 mutation is associated with autoimmune and lymphoproliferative conditions.

Case presentation
the patient was a 19-month-old infant girl who presented with a two-week history of fever. She had near-normal flowcytometry with high IgM and IgE. She had pneumonic infiltration in her chest and right hilar and para-aortic lymphadenopathy. PCR of whole blood for Aspergillus fumigatus came back positive. In her Whole Exome Sequencing she had IFNGR1 and SH2B3 mutations.

Conclusion
systemic fungal infections such as Aspergillosis can occur in patients with interferon-gamma receptor one deficiency. This type of immunodeficiency should be considered in treating patients with systemic Aspergillosis.
The effect of non-verbal music on anxiety in hospitalized children
Authors: Hakim Ashrafalsadat , Kaldozkhi Seyedeh Shima Hosseini , Tashakori Ashraf , Ghanbari Saeed 
Published: June 2023

Abstract
Background
In recent years, the positive effect of non-pharmacological methods such as listening to music in reducing the level of anxiety of hospitalized patients has been reported. This study aimed to determine the effect of non-verbal music on anxiety in hospitalized children.

Methods
In this study, 52 hospitalized children aged 6 to 12 years were randomly divided into Test and control groups. Research data collection tools included the Spielberger questionnaire to assess the level of anxiety in children. Statistical analysis of data was performed using Chi-square and t-tests by SPSS 23 software.

Results
Daily listening to non-verbal music for 20 minutes after the second and third days significantly reduced the anxiety score and the number of breaths per minute of hospitalized children (P ≤ 0.01). The trend of changes in anxiety score was measured for three consecutive days and vital signs except body temperature decreased significantly in the test group (P ≤ 0.01).

Conclusion
According to the results of this study, listening to non-verbal music by hospitalized children can be used as an effective practical method to reduce the level of anxiety and subsequently reduce vital signs.
Adolescent binge drinking in the West of Ireland: associated risk and protective factors
Authors: Kelly Ciara , Major Emmet , Durcan Michéal , O’Donovan Diarmuid , McNamara Áine 
Published: June 2023

Abstract
Background
Alcohol is a leading cause of morbidity and mortality worldwide. Adolescence is when alcohol use typically begins. Harmful patterns of alcohol consumption, such as binge drinking, may emerge during adolescence and become established. This study aimed to examine potential risk and protective factors for binge drinking among 15–16-year-old adolescents in the West of Ireland.

Methods
This was a cross-sectional secondary analysis of 4473 participants from the Planet Youth 2020 Survey. The outcome was ever binge drinking, defined as ever consumption of five or more drinks in a two-hour period or less. Independent variables were selected a priori following review of peer-reviewed literature and were grouped as individual, parents and family, peer group, school, leisure time and local community factors. Statistical analysis was completed using SPSS version 27. Differences in medians and means for continuous variables were examined using the Mann–Whitney U test and Independent Samples t-test respectively. Multivariable logistic regression was used to examine independent associations between potential risk and protective factors and ever binge drinking. A p-value of < 0.05 was deemed statistically significant.

Results
The prevalence of ever binge drinking was 34.1%. Self-rated ‘bad/very bad’ mental health (adjusted Odds Ratio (aOR) 1.61, 95% CI 1.26–2.06, p < 0.001), current cigarette use (aOR 4.06, 95% CI 3.01–5.47, p < 0.001) and current cannabis use (aOR 2.79, 95% CI 1.80–4.31, p < 0.001) increased odds of ever binge drinking.
Parental supervision (aOR 0.80, 95% CI 0.73–0.88, p < 0.001) and negative parental reaction to adolescent drunkenness (aOR 0.51, 95% CI 0.42–0.61, p < 0.001) reduced odds of ever binge drinking. Getting alcohol from parents increased odds of ever binge drinking (aOR 1.79, 95% CI 1.42–2.25, p < 0.001).
Adolescents with friends who drink alcohol had almost five times higher odds of ever binge drinking (aOR 4.59, 95% CI 2.65–7.94, p < 0.001). Participating in team/club sports also increased odds of ever binge drinking (aOR 1.30, 95% CI 1.07–1.57, p = 0.008 for 1–4 times/week, aOR 1.52, 95% CI 1.07–2.16, p = 0.020 for ≥ 5 times/week).

Conclusion
This study identifies individual and social environment factors associated with adolescent binge drinking in the West of Ireland. This can inform intersectoral action to protect adolescents from alcohol-related harm.
Factors and key problems influencing insured’s poor perceptions of convenience of basic medical insurance: a mixed methods research of a northern city in China
Authors: Wang Peng , Cheng Lixia , Li Ye , Zhang Yuchao , Huang Weiqi , Li Shuyi , Wang Zhizhen , Shan Linghan , Jiao Mingli , Wu Qunhong 
Published: June 2023

Abstract
Background
This study aimed to explore the factors that affect insured’s perceptions of convenience of the basic medical insurance (PCBMI) in Harbin, China and to diagnose the key problems to further propose corresponding measures. The findings provide evidence-based support for the reform of convenience of the basic medical insurance system (BMIS) and the cultivation of public literacy.

Methods
We adopted a mixed methods design composing a multivariate regression model using the data from a cross-sectional questionnaire survey (n = 1045) of residents who were enrolled for BMIS in Harbin to identify the factors influencing the PCBMI. A quota sampling method was further adopted. Semi-structured interviews were then conducted with 30 important information providers selected by convenience sampling. Interpretative phenomenological analysis was employed to summarize and analyze the key problems.

Results
Overall, approximately 51% of respondents reported poor PCBMI. The logistic regression model showed that insured without outpatient experience within two weeks (OR = 2.522, 95% CI = 1.267–5.024), had poorer levels of understanding of basic medical insurance information (OR = 2.336, 95% CI = 1.612–3.386), lived in rural areas (OR = 1.819, 95% CI = 1.036–3.195), had low levels of annual out-of-pocket medical expenses (OR = 1.488, 95% CI = 1.129–1.961), and were more likely to give the PCBMI a worse evaluation than their counterparts. The results of the qualitative analysis showed that the key problem areas of the PCBMI were the design of the BMIS, the cognitive biases of the insured, publicity information about the BMIS, and the health system environment.

Conclusions
This study found that in addition to the design of BMIS, the cognition of the insured, the BMIS information publicity and the health system environment are also the key problems hindering PCBMI. While optimizing system design and implementation, Chinese policymakers need to focus on the insured with low PCBMI characteristics. Moreover, it is necessary to focus on exploring effective BMIS information publicity methods, supporting public policy literacy and improving the health system environment.