bluuebunny/crossref_metadata_2025_split huggingface dataset:
Obesity alters the mouse endometrial transcriptome in a cell context-dependent manner
Authors: Wilson Mike R. , Skalski Hilary , Reske Jake J. , Wegener Marc , Adams Marie , Hostetter Galen , Hoffmann Hanne M. , Bernard Jamie J. , Bae-Jump Victoria L. , Teixeira Jose M. , Chandler Ronald L. 
Published: November 2022

AbstractObesity impacts fertility and is positively correlated with endometrial hyperplasia and endometrial cancer occurrence. Endometrial epithelia often harbor disease driver-mutations, while endometrial stroma are highly regulative of neighboring epithelia. Here, we sought to determine distinct transcriptome changes occurring in individual cell types in the obese mouse uterus. Outbred CD-1 mice were fed high-fat or control diets for 18 weeks, estrous cycle staged, and endometrial epithelia, macrophages, and stroma isolated for transcriptomic analysis. High-fat diet mice displayed increased body mass and developed glucose intolerance, hyperinsulinemia, and fatty liver. Obese mouse epithelia displayed differential gene expression for genes related to innate immunity and leukocyte chemotaxis. The obese mouse stroma differentially expressed factors related to circadian rhythm, and expression of these genes correlated with glucose tolerance or body mass. We observed correlations between F4/80 + macrophage numbers, Cleaved Caspase 3 (CC3) apoptosis marker staining and glucose intolerance among obese mice, including a subgroup of obese mice with high CC3 + luminal epithelia. This subgroup displayed differential gene expression among all cell types, with pathways related to immune escape in epithelia and macrophages, while the stroma dysregulated pathways related to regulation of epithelia. These results suggest an important role for differential response of both the epithelia and stroma in their response to obesity, while macrophages are dysregulated in the context of apoptotic epithelia. The obesity-related gene expression programs in cells within the uterine microenvironment may influence the ability of the endometrium to function during pregnancy and influence disease pathogenesis.
Concentration-dependent increase in symptoms due to diesel exhaust in a controlled human exposure study
Authors: Orach Juma , Rider Christopher Francis , Yuen Agnes Che Yan , Carlsten Christopher 
Published: November 2022

Abstract
Background
Traffic-related air pollution (TRAP) exposure causes adverse effects on wellbeing and quality of life, which can be studied non-invasively using self-reported symptoms. However, little is known about the effects of different TRAP concentrations on symptoms following controlled exposures, where acute responses can be studied with limited confounding. We investigated the concentration–response relationship between diesel exhaust (DE) exposure, as a model TRAP, and self-reported symptoms.

Methods
We recruited 17 healthy non-smokers into a double-blind crossover study where they were exposed to filtered air (FA) and DE standardized to 20, 50, 150 µg/m3 PM2.5 for 4 h, with a ≥ 4-week washout between exposures. Immediately before, and at 4 h and 24 h from the beginning of the exposure, we administered visual analog scale (VAS) questionnaires and grouped responses into chest, constitutional, eye, neurological, and nasal categories. Additionally, we assessed how the symptom response was related to exposure perception and airway function.

Results
An increase in DE concentration raised total (β ± standard error = 0.05 ± 0.03, P = 0.04), constitutional (0.01 ± 0.01, P = 0.03) and eye (0.02 ± 0.01, P = 0.05) symptoms at 4 h, modified by perception of temperature, noise, and anxiety. These symptoms were also correlated with airway inflammation. Compared to FA, symptoms were significantly increased at 150 µg/m3 for the total (8.45 ± 3.92, P = 0.04) and eye (3.18 ± 1.55, P = 0.05) categories, with trends towards higher values in the constitutional (1.49 ± 0.86, P = 0.09) and nasal (1.71 ± 0.96, P = 0.08) categories.

Conclusion
DE exposure induced a concentration-dependent increase in symptoms, primarily in the eyes and body, that was modified by environmental perception. These observations emphasize the inflammatory and sensory effects of TRAP, with a potential threshold below 150 µg/m3 PM2.5. We demonstrate VAS questionnaires as a useful tool for health monitoring and provide insight into the TRAP concentration–response at exposure levels relevant to public health policy.
Evaluating the role of breastfeeding peer supporters’ intervention on the inpatient management of malnourished infants under 6 months in Kenyan public hospitals
Authors: Mwangome Martha , de Colombi Nicole Feune , Chabeda Sophie , Mumbo Edward , Jemutai Julie , Tsofa Benjamin , Nzinga Jacinta , Jones Caroline 
Published: November 2022

AbstractBackgroundThe 2013 WHO guidelines for nutritional rehabilitation of malnourished infants under six months (u6m) focus on inpatient re-establishment of exclusive breastfeeding and recommends discharge when infant is gaining weight on breastmilk alone. Guided by a breastfeeding support tool, breastfeeding peer supporters (BFPS) can support implementation of these guideline by providing continuous individualised breastfeeding counselling to mothers of malnourished infants u6m. Recording and sharing information plays an important role in shaping in-patient care but little is known about recording practices for inpatient nutrition rehabilitation of infants u6m or how such practices affect care. We set out to explore introduction of BFPS into hospitals, and how it shaped the recording and practices of care for acutely malnourished infants u6m.MethodsWe applied a descriptive, exploratory design involving a pre and during intervention audit of the infant u6m inpatient records in two hospitals in Kenya, as well as pre- and post-intervention in-depth interviews with health workers involved in the care of admitted infants u6m. We developed an audit tool and used it to extract routine data on patient information from hospital records. Data were entered into a REDCap database and analyzed using STATA 17.0 software. We conducted thirty in-depth interviews with health workers exploring their care practices and their perceived effect of the presence of the BFPS on health workers treatment practices. We analysed interview data using thematic framework approach.ResultsA total of 170 and 65 inpatient files were available for the audit during the pre- and post-intervention period respectively. The presence of the BFPS seemed to have encouraged the recording of (i) breastfeeding status upon admission, (ii) breastfeeding management plan and (iii) reporting of its implementation and progress during treatment. The breastfeeding peer support intervention had a positive impact on breastfeeding recording and reporting practices. Health workers reported that the BFPS facilitated the recording of observed breastfeeding data and how their records influenced final inputs of breastfeeding support provided in the inpatient file.ConclusionsGuideline implementation tools facilitate effective application of guidelines and should accompany any guideline formulation process and have their effectiveness at recording and monitoring progress evaluated.
The value of artificial intelligence for detection and grading of prostate cancer in human prostatectomy specimens: a validation study
Authors: Kudo Maíra Suzuka , Gomes de Souza Vinicius Meneguette , Estivallet Carmen Liane Neubarth , de Amorim Henrique Alves , Kim Fernando J. , Leite Katia Ramos Moreira , Moraes Matheus Cardoso 
Published: November 2022

Abstract
Background
The Gleason grading system is an important clinical practice for diagnosing prostate cancer in pathology images. However, this analysis results in significant variability among pathologists, hence creating possible negative clinical impacts. Artificial intelligence methods can be an important support for the pathologist, improving Gleason grade classifications. Consequently, our purpose is to construct and evaluate the potential of a Convolutional Neural Network (CNN) to classify Gleason patterns.

Methods
The methodology included 6982 image patches with cancer, extracted from radical prostatectomy specimens previously analyzed by an expert uropathologist. A CNN was constructed to accurately classify the corresponding Gleason. The evaluation was carried out by computing the corresponding 3 classes confusion matrix; thus, calculating the percentage of precision, sensitivity, and specificity, as well as the overall accuracy. Additionally, k-fold three-way cross-validation was performed to enhance evaluation, allowing better interpretation and avoiding possible bias.

Results
The overall accuracy reached 98% for the training and validation stage, and 94% for the test phase. Considering the test samples, the true positive ratio between pathologist and computer method was 85%, 93%, and 96% for specific Gleason patterns. Finally, precision, sensitivity, and specificity reached values up to 97%.

Conclusion
The CNN model presented and evaluated has shown high accuracy for specifically pattern neighbors and critical Gleason patterns. The outcomes are in line and complement others in the literature. The promising results surpassed current inter-pathologist congruence in classical reports, evidencing the potential of this novel technology in daily clinical aspects.
Intraoperative electron radiotherapy in early invasive ductal breast cancer: 6-year median follow-up results of a prospective monocentric registry
Authors: Philippson Catherine , Larsen Samuel , Simon Stéphane , Vandekerkhove Christophe , De Caluwe Alex , Van Gestel Dirk , Chintinne Marie , Veys Isabelle , De Neubourg Filip , Noterman Danièle , Roman Mirela , Nogaret Jean-Marie , Desmet Antoine 
Published: November 2022

Abstract
Background
Intraoperative electron radiotherapy (IOERT) can be used to treat early breast cancer during the conservative surgery thus enabling shorter overall treatment times and reduced irradiation of organs at risk. We report on our first 996 patients enrolled prospectively in a registry trial.

Methods
At Jules Bordet Institute, from February 2010 onwards, patients underwent partial IOERT of the breast. Women with unifocal invasive ductal carcinoma, aged 40 years or older, with a clinical tumour size ≤ 20 mm and tumour-free sentinel lymph node (on frozen section and immunohistochemical analysis). A 21 Gy dose was prescribed on the 90% isodose line in the tumour bed with the energy of 6 to 12 MeV (Mobetron®-IntraOp Medical).

Results
Thirty-seven ipsilateral tumour relapses occurred. Sixteen of those were in the same breast quadrant. Sixty patients died, and among those, 12 deaths were due to breast cancer. With 71.9 months of median follow-up, the 5-year Kaplan–Meier estimate of local recurrence was 2.7%.

Conclusions
The rate of breast cancer local recurrence after IOERT is low and comparable to published results for IORT and APBI. IOERT is highly operator-dependent, and appropriate applicator sizing according to tumour size is critical. When used in a selected patient population, IOERT achieves a good balance between tumour control and late radiotherapy-mediated toxicity morbidity and mortality thanks to insignificant irradiation of organs at risk.
Prognostic value of creatinine-to-cystatin c ratio in patients with type 2 diabetes mellitus: a cohort study
Authors: Wei Wen , Li Shanggang , Liu Jin , Liu Yong , Chen Kaihong , Chen Shiqun , Tu Mei , Chen Hong 
Published: November 2022

Abstract
Background
The serum creatinine-to-cystatin C ratio (Scr/Scys) has been suggested as a surrogate marker of muscle mass and a predictor of adverse outcomes in many diseases. However, the prognostic value of Scr/Scys in patients with type 2 diabetes mellitus (T2DM) is unknown. The aim of this study is to assess the prognostic value of Scr/Scys in patients with T2DM.

Methods
In this retrospective observational study, we enrolled 3668 T2DM patients undergoing coronary angiography (CAG). Serum creatinine (Scr) and serum cystatin C (Scys) levels were measured at admission. The study population was separated into low muscle mass (low-MM) and normal muscle mass (normal-MM) groups by Scr/Scys cut-off point. The association between muscle mass and long-term all-cause mortality was examined using Cox regression analysis.

Results
During a median follow-up of 4.9 (3.0–7.1) years, a total of 352 (9.6%) patients died. The mortality was higher in patients with low-MM as compared with patients with normal-MM (11.1% vs. 7.3%; p < 0.001). Low muscle mass was associated with increased risk for long-term all-cause mortality, regardless of whether Scr/Scys were used as a continuous variable (adjusted hazard ratio: 1.08 [95% confidence interval (CI) 1.03 to 1.13]; p = 0.009) or a categorial variable (adjusted hazard ratio: 1.36 [95% CI 1.03 to 1.75]; p = 0.021).

Conclusion
Low muscle mass assessed by Scr/Scys was associated with increased risk of long-term all-cause mortality in diabetic patients.
The role of Israeli researchers in the scientific literature regarding COVID-19 vaccines
Authors: Rosen Bruce , Davidovitch Nadav , Chodick Gabriel , Israeli Avi 
Published: November 2022

Abstract
Background
The accurate and timely publication of scientific findings is a key component of the global response to the COVID-19 pandemic. This article explores the role of Israeli researchers in the scientific literature regarding COVID-19 vaccines.

Methods
Content and bibliometric analysis of articles included in the Web of Science database regarding COVID-19 vaccines, that were published between January 2020 and June 2022.

Results
The Web of Science includes 18,596 articles regarding COVID-19 vaccines that were published between January 2020 and June 2022. 536 (3%) of those articles had at least one Israeli author. These "Israeli articles" accounted for 11% of the NEJM articles on COVID-19 vaccines, 9% of such articles in Nature Medicine, and 4% of such articles in the Lancet. 80 of the 536 Israeli articles (15%) were recognized as "Highly Cited Papers" (articles that rank in the top 1% by citations for field and publication year). Most of the Israeli Highly Cited Papers (HCPs) analyzed the safety and/or efficacy of the COVID-19 vaccine developed by Pfizer and BioNTech (BNT162b2). Most of the Israeli HCPs made use of detailed and comprehensive individual data available from Israel's health plans, hospitals, or Ministry of Health. The 15% HCP rate (i.e., the number of HCPs divided by the number of all articles) for the Israeli articles was triple the HCP rate for all articles on COVID-19 vaccines (5%). A key factor contributing to Israel's prominent role in rapid publication of vaccination impact studies was Israel's being a world leader in the initial vaccination rollout, the administration of boosters, and the vaccination of pregnant women. Other contributing factors include Israeli researchers' access to well-developed electronic health record systems linking vaccinations and outcomes, the analytic strengths of leading Israeli researchers and research institutions, collaborations with leading research institutions in other countries, and the ability to quickly identify emerging research opportunities and mobilize accordingly. Recent developments in the priorities and selection criteria of leading journals have also played a role; these include an increased openness to well-designed observational studies and to manuscripts from outside of Europe and North America.

Conclusions
Israeli researchers, Israeli research institutions, and the Israeli government can, and should, take concrete steps to build upon lessons learned in the course of the recent surge of high-quality publications related to COVID-19 vaccines (such as the value of linking data across organizations). These lessons can be applied to a wide range of fields, including fields that go well beyond vaccines and pandemic responses.
Mapping research evidence on quality of life in children with atopic dermatitis in sub-Saharan Africa: a scoping review protocol
Authors: Kelbore Abraham Getachew , Enbiale Wendemagegn , Mosam Anisa , van Wyk Jacqueline M. 
Published: November 2022

AbstractBackgroundAtopic dermatitis (AD) is a chronic, debilitating disease affecting children worldwide. Several studies have shown the disease to be a significant problem which leads to a diminished quality of life (QoL) for the affected children, but systematic evaluation of such studies in Africa is yet to be reported. Therefore, this scoping review aims to map research evidence on children with AD and their QoL in sub-Saharan Africa (SSA).MethodsThe scoping review will follow the Arksey and O’Mally methodological framework. The electronic databases to be searched will include PubMed, EBSCOhost (Academic Search Complete, CINAHL, PsycINFO, and Health Sources), and Scopus and Google Scholar, for published literature between 2010 and 2021. The search strategy for the databases will include keywords, Medical Subject Headings terms, and Boolean operators. The reference list of the included sources of evidence and the WHO website will also be consulted for evidence relating to QoL of children with AD in SSA. Two independent reviewers will undertake abstract and full-text article screening with the guidance of eligibility criteria. This review will include studies conducted in SSA, and publications focusing on QoL and associated factors of AD in children. Data will be extracted from the included studies and analyzed qualitatively; NVIVO software V.11 will be used, and the emerging themes reported narratively. The mixed-method appraisal tool (MMAT) will be employed for quality appraisal of included studies.DiscussionWe look forward to the findings of several studies that describe the QoL and associated factors among children with AD and that report on the use of different diagnostic criteria, severity scaling and QoL measuring scale tools used to ascertain the presence of AD, scale the severity of AD, and the impact of AD on QoL among children. This will help to improve clinical practice and the QoL of children with AD in SSA. The study findings will be disseminated through publication in a peer-reviewed journal, peer presentations, and presentations at relevant conferences.ConclusionThis study will add new knowledge on the QoL in children with AD in the SSA context. The study has the potential to inform research and clinical practice to impact the QoL of children with AD in SSA.
Solution of fractional integral equations via fixed point results
Authors: Zhou Mi , Saleem Naeem , Bashir Shahid 
Published: November 2022

AbstractIn this paper, we introduce two new concepts of F-contraction, called dual $F^{*}$

F
∗

-weak contraction and triple $F^{*}$

F
∗

-weak contraction, which generalize the existing contractions in the sense of Wardowski, Jleli and Samet as well as Skof. These new generalizations embed their roots in the aim devoted to extending the generalized Banach contraction conjuncture to the class of F-contraction type mappings with the use of multiple F-type functions. Furthermore, we establish the existence of a unique fixed point for such contractions under certain conditions. Fractional calculus can be used to precisely change or control the fractal dimension of any random or deterministic fractal with coordinates that can be expressed as functions of one independent variable. We apply our main result to weaken certain conditions on the fractional integral equations. Finally, we discuss the significance of our obtained results in comparison with certain renowned ones in the literature.
Cloud-based deep learning-assisted system for diagnosis of sports injuries
Authors: Wu Xiaoe , Zhou Jincheng , Zheng Maoxing , Chen Shanwei , Wang Dan , Anajemba Joseph , Zhang Guangnan , Abdelhaq Maha , Alsaqour Raed , Uddin Mueen 
Published: November 2022

AbstractAt both clinical and diagnostic levels, machine learning technologies could help facilitate medical decision-making. Prediction of sports injuries, for instance, is a key component of avoiding and minimizing injury in motion. Despite significant attempts to forecast sports injuries, the present method is limited by its inability to identify predictors. When designing measures for the avoidance of work-related accidents and the reduction of associated risks, the risk of injury to athletes is a crucial consideration. Various indicators are being evaluated to identify injury risk factors in a number of different methods. Consequently, this paper proposes a Deep Learning-assisted System (DLS) for diagnosing sports injuries using the Internet of Things (IoT) and the concept of cloud computing. The IoT sensors that compose the body area network collect crucial data for the diagnosis of sports injuries, while cloud computing makes available flexible computer system resources and computing power. This research examines the brain injury monitoring framework, uses an optimal neural network to forecast brain injury, and enhances the medical rehabilitation system for sports. Using the metrics accuracy, precision, recall, and F1-score, the performance of the proposed model is assessed and compared with current models.
Is diabetes the risk factor for poor neurological recovery after cervical spine surgery? A review of the literature
Authors: Wang Peng , Liu Baoge , Rong Tianhua , Wu Bingxuan 
Published: November 2022

AbstractThe poor prognosis of cervical spine surgery is mainly manifested as poor neurological recovery and the presence of new upper extremity dysfunction that promotes significant psychological and physiological burdens on patients. Many factors influence the prognosis of cervical spine surgery, including the age of patients, the time and mode of surgery, and the surgical technique used. However, in clinical studies, it has been observed that patients with diabetes have a higher probability of poor prognosis after surgery. Therefore, we review the pathophysiology of diabetic neuropathies and discuss its impact on cervical nerve system function, especially in cervical nerve roots and upper limb peripheral nerve conduction.