bluuebunny/crossref_metadata_2025_split huggingface dataset:
Individual-level social capital is associated with depressive symptoms among middle-aged community dwellers in rural Vietnam: a cross-sectional study
Authors: Do An Dang , Pham Thuy Thi Phuong , Nguyen Chau Que , Hoang Dong Van , Fukunaga Ami , Stickley Andrew , Yazawa Aki , Phan Danh Cong , Hachiya Masahiko , Jimba Masamine , Huynh Dong Van , Le Huy Xuan , Do Hung Thai , Mizoue Tetsuya , Inoue Yosuke 
Published: December 2022

ObjectivesThere has been comparatively little research on the association between social capital and depressive symptoms in low- and middle-income countries. To address this deficit this study examined the association among middle-aged adults in rural Vietnam.DesignA cross-sectional study.SettingData came from the baseline survey of the Khánh Hòa Cardiovascular Study, which is an ongoing prospective cohort study aiming to elucidate the determinants of cardiovascular diseases.ParticipantsA total of 3000 people aged 40–60 years old residing in rural communes in Khánh Hòa province, Vietnam.Exposure of interestCognitive social capital (ie, low, middle and high) and structural social capital (in terms of social participation; yes or no) were assessed via a questionnaire.Primary outcome measureDepressive symptoms were assessed with the 11-item Center for Epidemiologic Studies Depression Scale.ResultsA robust Poisson regression model revealed that adults in the highest versus lowest cognitive social capital tertile had a 61% lower prevalence of depressive symptoms (prevalence ratio (PR)=0.39, 95% CI=0.31 to 0.49). Individuals with higher structural social capital were also significantly less likely to experience depressive symptoms (PR=0.74, 95% CI=0.61 to 0.90).ConclusionIn a cohort of 3000 middle-aged rural residents in Vietnam, both cognitive and structural social capital assessed at the individual level were inversely associated with the prevalence of depressive symptoms.
Effects of different surgical treatments on children with ankyloglossia: protocol for a systematic review and meta-analysis
Authors: Yu Chongqing , Li Qi-Qi , Zhang Ruo-Zhen , Chen Sheng-Lan , Xia Fei-Fei , Zhou Zheng 
Published: December 2022

IntroductionAnkyloglossia is a situation where the tongue tip cannot go beyond the mandibular incisor because the frenulum linguae is short. It could affect children’s health by interfering with their ability to talk, breast feeding and dental development. The most effective measure to control ankyloglossia is the surgical method. However, which surgical procedure is the best one is still controversial. Thus, this protocol aims to assess the effectiveness of different surgical interventions in children with ankyloglossia.Methods and analysisPubMed, EMBASE, Cochrane Library, Web of Science and OVID will be searched for relevant information from inception to 31 May 2022. Observational studies in English that investigate the association between surgical methods and ankyloglossia will be included in this protocol. This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. The Critical Appraisal Checklist for Analytical Cross-Sectional Studies and the Newcastle–Ottawa Quality Assessment Scale for longitudinal studies will be used to assess the included studies. The improvement of breast feeding and nipple pain will be the primary outcome. STATA V.15.1 will do the statistical analysis in the meta-analysis. Subgroup and meta-regression will be carried out based on the characteristics of included studies.Ethics and disseminationThis systematic review and meta-analysis will summarise relevant information on the effects of different surgical treatments on patients with ankyloglossia. The results will be disseminated through peer-reviewed publications. The data included in this study will be extracted from the published original studies. Thus, ethical approval and informed consent will not be required.PROSPERO registration numberCRD42022323350.
Medication administration errors and associated factors among nurses in Addis Ababa federal hospitals, Ethiopia: a hospital-based cross-sectional study
Authors: Mohammed Tihitena , Mahmud Sindew , Gintamo Binyam , Mekuria Zelalem Negash , Gizaw Zemichael 
Published: December 2022

ObjectiveThis study was conducted to assess the magnitude and contributing factors of medication administration errors among nurses in federal hospitals in Addis Ababa, Ethiopia.DesignA hospital-based cross-sectional study design was employed. Data on medication administration and associated factors were collected using a structured self-administered questionnaire. Multivariable binary logistic regression analysis was done to identify factors associated with medication administration errors on the basis of adjusted OR with 95% CI and a p value less than 0.05.SettingThis study was conducted in federal hospitals in Addis Ababa, Ethiopia.ParticipantsFour hundred and twenty-three randomly selected nurses participated.Outcome measuresThe primary outcome variable is medication administration error, which was ascertained using the following errors: wrong medication, wrong dose, wrong time, wrong route, wrong patient, wrong drug preparation, wrong advice, wrong assessment and wrong documentations.ResultsA total of 59.9% (95% CI: 55.0% to 64.8%) of the nurses in the federal hospitals in Addis Ababa committed one or more medication administration errors in the last 12 months prior to the survey. The most commonly reported medication errors were wrong time (56.8%), wrong documentation (33.3%), wrong advice (27.8%) and wrong dose (20.1%). Medication administration errors among nurses were significantly associated with short work experience (adjusted OR (AOR): 6.48, 95% CI: 1.32 to 31.78), night shift work (AOR: 5.0, 95% CI: 1.82 to 13.78), absence of on-the-job training (AOR: 3.16, 95% CI: 1.67 to 6.00), unavailability of medication administration guidelines in wards (AOR: 2.07, 95% CI: 1.06 to 4.06) and interruptions during medication administration (AOR: 2.42, 95% CI: 1.30 to 4.49).ConclusionIt was found that a high proportion of nurses in federal hospitals committed medication administration errors. Short work experience, night shift work, absence of on-the-job training, unavailability of medication administration guidelines and interruptions during medication administration explained the high magnitude of medication administration errors.
TGFβ-derived immune modulatory vaccine: targeting the immunosuppressive and fibrotic tumor microenvironment in a murine model of pancreatic cancer
Authors: Perez-Penco Maria , Weis-Banke Stine Emilie , Schina Aimilia , Siersbæk Majken , Hübbe Mie Linder , Jørgensen Mia Aaboe , Lecoq Inés , Lara de la Torre Lucia , Bendtsen Simone Kloch , Martinenaite Evelina , Holmström Morten Orebo , Madsen Daniel Hargbøl , Donia Marco , Ødum Niels , Grøntved Lars , Andersen Mads Hald 
Published: December 2022

BackgroundPancreatic ductal adenocarcinoma (PDAC) is associated with very poor survival, making it the third and fourth leading cause of all cancer-related deaths in the USA and European Union, respectively. The tumor microenvironment (TME) in PDAC is highly immunosuppressive and desmoplastic, which could explain the limited therapeutic effect of immunotherapy in PDAC. One of the key molecules that contributes to immunosuppression and fibrosis is transforming growth factor-β (TGFβ). The aim of this study was to target the immunosuppressive and fibrotic TME in PDAC using a novel immune modulatory vaccine with TGFβ-derived peptides in a murine model of pancreatic cancer.MethodsC57BL/6 mice were subcutaneously inoculated with Pan02 PDAC cells. Mice were treated with TGFβ1-derived peptides (major histocompatibility complex (MHC)-I and MHC-II-restricted) adjuvanted with Montanide ISA 51VG. The presence of treatment-induced TGFβ-specific T cells was assessed by ELISpot (enzyme-linked immunospot). Changes in the immune infiltration and gene expression profile in tumor samples were characterized by flow cytometry, reverse transcription-quantitative PCR (RT-qPCR), and bulk RNA sequencing.ResultsTreatment with immunogenic TGFβ-derived peptides was safe and controlled tumor growth in Pan02 tumor-bearing mice. Enlargement of tumor-draining lymph nodes in vaccinated mice positively correlated to the control of tumor growth. Analysis of immune infiltration and gene expression in Pan02 tumors revealed that TGFβ-derived peptide vaccine increased the infiltration of CD8+T cells and the intratumoral M1/M2 macrophage ratio, it increased the expression of genes involved in immune activation and immune response to tumors, and it reduced the expression of myofibroblast-like cancer-associated fibroblast (CAF)-related genes and genes encoding fibroblast-derived collagens. Finally, we confirmed that TGFβ-derived peptide vaccine actively modulated the TME, as the ability of T cells to proliferate was restored when exposed to tumor-conditioned media from vaccinated mice compared with media from untreated mice.ConclusionThis study demonstrates the antitumor activity of TGFβ-derived multipeptide vaccination in a murine tumor model of PDAC. The data suggest that the vaccine targets immunosuppression and fibrosis in the TME by polarizing the cellular composition towards a more pro-inflammatory phenotype. Our findings support the feasibility and potential of TGFβ-derived peptide vaccination as a novel immunotherapeutic approach to target immunosuppression in the TME.
Prognostic value of tumor-associated N1/N2 neutrophil plasticity in patients following radical resection of pancreas ductal adenocarcinoma
Authors: Chen Qiangda , Yin Hanlin , Liu Siyao , Shoucair Sami , Ding Ni , Ji Yuan , Zhang Jicheng , Wang Dansong , Kuang Tiantao , Xu Xuefeng , Yu Jun , Wu Wenchuan , Pu Ning , Lou Wenhui 
Published: December 2022

BackgroundAs an integral part of the tumor microenvironment (TME), tumor-associated neutrophils play a crucial role in tumor development. The objective of this study was to investigate the plasticity of tumor-associated N1 and N2 neutrophils in the TME of pancreatic ductal adenocarcinoma (PDAC), along with its impact on survival and association with immune infiltrations.MethodsThe primary and validation cohorts including 90 radical resection patients from September 2012 to May 2016 and 29 radical resection patients from September 2018 to October 2019, respectively, with complete survival data, were enrolled. Immunofluorescence staining was used to identify tumor-associated N1 and N2 neutrophils, and the N1/N2 ratio was used to evaluate N1 and N2 plasticity. Thereafter, the association between tumor-associated N1/N2 neutrophil plasticity, clinical features, and immune infiltrations was investigated.ResultsThere was a significant increase in tumor-associated N2 neutrophils compared with tumor-associated N1 neutrophils. Low N1/N2 ratios were associated with the poorer differentiation of tumors, easier lymph node metastases, and a higher TNM stage. The median overall survival (OS) and recurrence-free survival (RFS) of the high tumor-associated N1 neutrophil group were significantly longer than those of the low group, while the tumor-associated N2 neutrophils played an opposite role. The multivariable analysis revealed that a high N1/N2 ratio was a significant prognostic indicator for OS and RFS. In addition, tumor-associated N1/N2 neutrophils showed an opposite correlation with tumor-infiltrating CD8+T cells and Tregs.ConclusionThe plasticity of tumor-associated N1/N2 neutrophils was identified as a crucial prognostic indicator that might reflect the TME and immune escape in patients with PDAC. On further investigation and validation, our findings may be used to further stratify patients with varying prognoses to optimize treatment.
Fluorescence-optical imaging as a promising easy-to-use imaging biomarker to increase early psoriatic arthritis detection in patients with psoriasis: a cross-sectional cohort study with follow-up
Authors: Koehm Michaela , Ohrndorf Sarah , Foldenauer Ann C , Rossmanith Tanja , Backhaus Marina , Werner Stephanie G , Burmester Gerd R , Wassenberg Siegfried , Koehler Benjamin , Burkhardt Harald , Behrens Frank 
Published: December 2022

ObjectivesTo evaluate the ability of fluorescence-optical imaging (FOI) to detect preclinical musculoskeletal inflammatory signs in patients with skin psoriasis at risk of developing psoriatic arthritis (PsA).MethodsThis investigator-initiated prospective exploratory study evaluated adult patients with psoriasis with musculoskeletal complaints and/or nail psoriasis within the last 6 months. Patients underwent a comprehensive rheumatological clinical examination (CE) along with musculoskeletal ultrasound (MSUS) and FOI of both hands at a single visit. Patients with CE–/MSUS–/FOI+ findings had MRI performed on the symptomatic or dominant hand within 7 days. If MRI was negative, the patients were followed over 2 years for the onset of clinically manifest PsA.ResultsA total of 389 patients were referred from dermatology centres and evaluated at 14 rheumatology sites in Germany. Seventy-seven (20%) patients with CE−/US−/FOI− were considered to have psoriasis only. PsA was diagnosed in 140/389 patients (36%) based on CE alone and in another 55 patients (14%) by additional MSUS; overall, 50% of the patient cohort was diagnosed with PsA. One hundred sixteen patients (30%) were FOI+ (CE−) of which 40 (37%) were FOI+/MRI+. In the 2-year follow-up of the FOI+/CE− patients, clinical PsA was confirmed in another 12%.ConclusionFOI is a promising method for the detection of signs of musculoskeletal inflammation in hands that may serve as an early imaging biomarker for transitions from psoriasis to PsA. This imaging technique has the potential to detect PsA in at-risk patients with psoriasis, reduce time to PsA diagnosis and improve patient outcomes.
Application of transfer learning to neutrino interaction classification
Authors: Chappell Andrew , Whitehead Leigh H. 
Published: December 2022

AbstractTraining deep neural networks using simulations typically requires very large numbers of simulated events. This can be a large computational burden and a limitation in the performance of the deep learning algorithm when insufficient numbers of events can be produced. We investigate the use of transfer learning, where a set of simulated images are used to fine tune a model trained on generic image recognition tasks, to the specific use case of neutrino interaction classification in a liquid argon time projection chamber. A ResNet18, pre-trained on photographic images, was fine-tuned using simulated neutrino images and when trained with one hundred thousand training events reached an F1 score of 0.896$$\,\pm \,$$

±

0.002 compared to 0.836$$\,\pm \,$$

±

0.004 from a randomly-initialised network trained with the same training sample. The transfer-learned networks also demonstrate lower bias as a function of energy and more balanced performance across different interaction types.
Where neutrino decoherence lies
Authors: Ciuffoli Emilio , Evslin Jarah 
Published: December 2022

AbstractRecently, several studies of neutrino oscillations in the vacuum have not found the decoherence long expected from the separation of wave packets of neutrinos in different mass eigenstates. We show that such decoherence will, on the other hand, be present in a treatment including any mechanism which leads to a dependence of the final state on both the neutrino’s emission and absorption time. Using a simplified model in $$1+1$$

1
+
1

d, we show that if the positions of the final state particles are measured, or equivalently entangled with the environment, then decoherence will damp neutrino oscillations. We also show that wave packet spreading can cause the decoherence to eventually saturate, without completely suppressing the oscillations. These results are not an artifact of the approximation used: we show that, considering the $$V-A$$

V
-
A

model in $$3+1$$

3
+
1

d, the difference would be simply a total multiplicative factor that would not affect the oscillation probability nor the decoherence.
The Great Immune Escape: Understanding the Divergent Immune Response in Breast Cancer Subtypes
Authors: Onkar Sayali S. , Carleton Neil M. , Lucas Peter C. , Bruno Tullia C. , Lee Adrian V. , Vignali Dario A.A. , Oesterreich Steffi 
Published: December 2022

Abstract

Breast cancer, the most common type of cancer affecting women, encompasses a collection of histologic (mainly ductal and lobular) and molecular subtypes exhibiting diverse clinical presentation, disease trajectories, treatment options, and outcomes. Immunotherapy has revolutionized treatment for some solid tumors but has shown limited promise for breast cancers. In this review, we summarize recent advances in our understanding of the complex interactions between tumor and immune cells in subtypes of breast cancer at the cellular and microenvironmental levels. We aim to provide a perspective on opportunities for future immunotherapy agents tailored to specific features of each subtype of breast cancer.

Significance:
Although there are currently over 200 ongoing clinical trials testing immunotherapeutics, such as immune-checkpoint blockade agents, these are largely restricted to the triple-negative and HER2+ subtypes and primarily focus on T cells. With the rapid expansion of new in vitro, in vivo, and clinical data, it is critical to identify and highlight the challenges and opportunities unique for each breast cancer subtype to drive the next generation of treatments that harness the immune system.
Bromocriptine Improves Central Aortic Stiffness in Adolescents With Type 1 Diabetes: Arterial Health Results From the BCQR-T1D Study
Authors: Schäfer Michal , Browne Lorna P. , Truong Uyen , Bjornstad Petter , Tell Shoshana , Snell-Bergeon Janet , Baumgartner Amy , Hunter Kendall S. , Reusch Jane E.B. , Barker Alex J. , Nadeau Kristen J. , Schauer Irene E. 
Published: December 2022

Background:
The presence of vascular dysfunction is a well-recognized feature in youth with type 1 diabetes (T1D), accentuating their lifetime risk of cardiovascular events. Therapeutic strategies to mitigate vascular dysfunction are a high clinical priority. In the bromocriptine quick release T1D study (BCQR-T1D), we tested the hypothesis that BCQR would improve vascular health in youth with T1D.

Methods:
BCQR-T1D was a placebo-controlled, random-order, double-blinded, cross-over study investigating the cardiovascular and metabolic impact of BCQR in T1D. Adolescents in the BCQR-T1D study were randomized 1:1 to phase-1: 4 weeks of BCQR or placebo after which blood pressure and central aortic stiffness measurements by pulse wave velocity, relative area change, and distensibility from phase-contrast magnetic resonance imaging were performed. Following a 4-week washout period, phase 2 was performed in identical fashion with the alternate treatment.

Results:

Thirty-four adolescents (mean age 15.9±2.6 years, hemoglobin A1c 8.6±1.1%, body mass index percentile 71.4±26.1, median T1D duration 5.8 years) with T1D were enrolled and had magnetic resonance imaging data available. Compared with placebo, BCQR therapy decreased systolic (∆=−5 mmHg [95% CI, −3 to −7];
P
<0.001) and diastolic blood pressure (∆=−2 mmHg [95% CI, −4 to 0];
P
=0.039). BCQR reduced ascending aortic pulse wave velocity (∆=−0.4 m/s;
P
=0.018) and increased relative area change (∆=−2.6%,
P
=0.083) and distensibility (∆=0.08%/mmHg;
P
=0.017). In the thoraco-abdominal aorta, BCQR decreased pulse wave velocity (∆=−0.2 m/s;
P
=0.007) and increased distensibility (∆=0.05 %/mmHg;
P
=0.013).

Conclusions:
BCQR improved blood pressure and central and peripheral aortic stiffness and pressure hemodynamics in adolescents with T1D over 4 weeks versus placebo. BCQR may improve aortic stiffness in youth with T1D, supporting future longer-term studies.
Radiomics Analysis of Diffusion-Weighted Imaging and Long-Term Unfavorable Outcomes Risk for Acute Stroke
Authors: Jiang Liang , Miao Zhengfei , Chen Huiyou , Geng Wen , Yong Wei , Chen Yu-Chen , Zhang Hong , Duan Shaofeng , Yin Xindao , Zhang Zhiqiang 
Published: December 2022

Background:
Diffusion-weighted imaging radiomics could be used as prognostic biomarkers in acute ischemic stroke. We aimed to identify a clinical and diffusion-weighted imaging radiomics model for individual unfavorable outcomes risk assessment in acute ischemic stroke.

Methods:
A total of 1716 patients with acute ischemic stroke from 2 centers were divided into a training cohort and a validation cohort. Patient outcomes were measured with the modified Rankin Scale score. An unfavorable outcome was defined as a modified Rankin Scale score greater than 2. The primary end point was all-cause mortality or outcomes 1 year after stroke. The MRI-DRAGON score was calculated based on previous publications. We extracted and selected the infarct features on diffusion-weighted imaging to construct a radiomic signature. The clinic-radiomics signature was built by measuring the Cox proportional risk regression score (CrrScore) and compared with the MRI-DRAGON score and the ClinicScore. CrrScore model performance was estimated by 1-year unfavorable outcomes prediction.

Results:

A high radiomic signature predicted a higher probability of unfavorable outcomes than a low radiomic signature in the training (hazard ratio, 3.19 [95% CI, 2.51–4.05];
P
<0.0001) and validation (hazard ratio, 3.25 [95% CI, 2.20–4.80];
P
<0.0001) cohorts. The diffusion-weighted imaging Alberta Stroke Program Early CT Score, age, glucose level before therapy, National Institutes of Health Stroke Scale score on admission, glycated hemoglobin‚ radiomic signature, hemorrhagic infarction, and malignant cerebral edema were associated with an unfavorable outcomes risk after multivariable adjustment. A CrrScore nomogram was developed to predict outcomes and had the best performance in the training (area under the curve, 0.862) and validation cohorts (area under the curve, 0.858). The CrrScore model time-dependent areas under the curve of the probability of unfavorable outcomes at 1 year in the training and validation cohorts were 0.811 and 0.801, respectively.

Conclusions:
The CrrScore model allows the accurate prediction of patients with acute ischemic stroke outcomes and can potentially guide rehabilitation therapies for patients with different risks of unfavorable outcomes.