bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive whiteboard use in clinical reasoning sessions to teach diagnostic test ordering and interpretation to undergraduate medical students
Authors: Gouzi Fares , Hédon Christophe , Blervaque Léo , Passerieux Emilie , Kuster Nils , Pujol Thierry , Mercier Jacques , Hayot Maurice 
Published: November 2019

AbstractBackgroundOver-testing of patients is a significant problem in clinical medicine that can be tackled by education. Clinical reasoning learning (CRL) is a potentially relevant method for teaching test ordering and interpretation. The feasibility might be improved by using an interactive whiteboard (IWB) during the CRL sessions to enhance student perceptions and behaviours around diagnostic tests. Overall, IWB/CRL could improve their skills.MethodsThird-year undergraduate medical students enrolled in a vertically integrated curriculum were randomized into two groups before clinical placement in either a respiratory disease or respiratory physiology unit: IWB-based CRL plus clinical mentoring (IWB/CRL + CM:n = 40) or clinical mentoring only (CM-only:n = 40). Feasibility and learning outcomes were assessed. In addition, feedback via questionnaire of the IWB students and their classmates (n = 233) was compared.ResultsAnalyses of the IWB/CRL sessions (n = 40, 27 paperboards) revealed that they met validated learning objectives. Students perceived IWB as useful and easy to use. After the IWB/CRL + CM sessions, students mentioned more hypothesis-based indications in a test ordering file (p <  0.001) and looked for more nonclinical signs directly on raw data tests (p <  0.01) compared with students in the CM-only group. Last, among students who attended pre- and post-assessments (n = 23), the number of diagnostic tests ordered did not change in the IWB/CRL + CM group (+ 7%; p = N.S), whereas it increased among CM-only students (+ 30%;p <  0.001). Test interpretability increased significantly in the IWB/CRL + CM group (from 4.7 to 37.2%;p <  0.01) but not significantly in the CM-only group (from 2.4 to 9.8%;p = 0.36).ConclusionsIntegrating IWB into CRL sessions is feasible to teach test ordering and interpretation to undergraduate students. Moreover, student feedback and prospective assessment suggested a positive impact of IWB/CRL sessions on students’ learning.
Frequency of ubiquitous connectivity and associated factors among Mexican adolescents
Authors: Aguilar-Ye Arturo , Reyes-Morales Hortensia , Campero Lourdes , Garnelo-Bibiano Nicéforo 
Published: November 2019

Abstract
Background
There is limited information in Mexico - a middle-income country and a digital adopter with an important demographic bonus - regarding the potential use of technology and connectivity in health promotion among adolescent population.
Therefore, the objective of this study was to determine the proportion of adolescents connected ubiquitously; and to identify its associated factors for the further development of mobile health interventions.

Methods
An online survey of adolescents from state of Morelos, Mexico, was conducted in 2016. Explored individual socio-educational and school technological infrastructure characteristics and habits of use of mobile technologies. A logistic regression model was fitted to identify variables associated with ubiquitous connectivity.

Results
One thousand three hundred thirty-six students were included and six questionnaires (0.45%) were eliminated due to duplication of information. Fifty-four percent of participants were female, and the mean age was 16.31 ± 0.84 years. In total, 47% of students were ubiquitously connected. Associated factors to ubiquitous connectivity included better academic performance, the need to use Internet-based technologies, engaging in ludic activities on the Web and living in the state capital.

Conclusions
Ubiquitous connectivity it’s a desirable condition for strengthening health promotion programs focused on young population. Strategies including digital technology tools with potential to increase adolescent engagement should be explored and evaluated. However, it is necessary to recognize that there are additional factors that may influence the success of health promotion interventions.
Heart failure with insulin degludec versus glargine U100 in patients with type 2 diabetes at high risk of cardiovascular disease: DEVOTE 14
Authors: Pratley Richard E. , Husain Mansoor , Lingvay Ildiko , Pieber Thomas R. , Mark Thomas , Saevereid Hans A. , Møller Daniel Vega , Zinman Bernard ,   the DEVOTE Study Group
Published: November 2019

Abstract
Background
Heart failure (HF) is a common cardiovascular complication of type 2 diabetes (T2D). This secondary analysis investigated baseline factors and treatment differences associated with risk of hospitalization for HF (hHF), and the possible association between severe hypoglycemia and hHF.

Methods
DEVOTE was a treat-to-target, double-blind cardiovascular outcomes trial in patients (n = 7637) with T2D and high cardiovascular risk randomized to insulin degludec (degludec) or insulin glargine 100 units/mL (glargine U100). The main endpoint of this secondary analysis was time to first hHF (standardized MedDRA Query definition). Severe hypoglycemia was adjudicated (American Diabetes Association definition). The main endpoint and the temporal association between severe hypoglycemia and hHF were analyzed with a Cox proportional hazards regression model. Predictors of time to first hHF were identified using baseline variables.

Results
Overall, 372 (4.9%) patients experienced hHF (550 events). There was no significant difference in the risk of hHF between treatments (hazard ratio [HR] 0.88 [0.72;1.08]95% CI, p = 0.227). Prior HF (HR 4.89 [3.90;6.14]95% CI, p ≤ 0.0001) was the strongest predictor of future hHF events. The risk of hHF significantly increased after (HR 2.2), and within a week after (HR 11.1), experiencing a severe hypoglycemic episode compared with before an episode.

Conclusions
In patients with T2D and high cardiovascular risk there were no treatment differences in terms of hHF. Prior HF was the strongest predictor of future hHF events, and there was an association between severe hypoglycemia and subsequent hHF. Further research should evaluate whether the risk of hHF can be modified by treatments aimed at reducing hypoglycemia.
Trial Registration NCT01959529
A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma
Authors: Zhang Boxin , Wang Haihui , Guo Ziyan , Zhang Xinhai 
Published: November 2019

Abstract
Background
Transcription factors (TFs) are responsible for the regulation of various activities related to cancer like cell proliferation, invasion, and migration. It is thought that, the measurement of TFs levels could assist in developing strategies for diagnosis and prognosis of cancer detection. However, due to lack of effective genome-wide tests, this cannot be carried out in clinical settings.

Methods
A complete assessment of RNA-seq data in samples of a head and neck squamous cell carcinoma (HNSCC) cohort in The Cancer Genome Atlas (TCGA) database was carried out. From the expression data of six TFs, a risk score model was developed and further validated in the GSE41613 and GSE65858 series. Potential functional roles were identified for the six TFs via gene set enrichment analysis.

Results
Based on our multi-TF signature, patients are stratified into high- and low-risk groups with significant variations in overall survival (OS) (median survival 2.416 vs. 5.934 years, log-rank test P < 0.001). The sensitivity and specificity evaluation of our multi-TF for 3-year OS in TCGA, GSE41613 and GSE65858 was 0.707, 0.679 and 0.605, respectively, demonstrating good reproducibility and robustness for predicting overall survival of HNSCC patients. Through multivariate Cox regression analyses (MCRA) and stratified analyses, we confirmed that the predictive capability of this risk score (RS) was not dependent on any of other factors like clinicopathological parameters.

Conclusions
With the help of a RS obtained from a panel of TFs expression signatures, effective OS prediction and stratification of HNSCC patients can be carried out.
Association between height and hypercholesterolemia in adults: a nationwide population-based study in Korea
Authors: Lee Mi Yeon , Nam Ga Eun , Han Kyungdo , Kim Da Hye , Kim Yang Hyun , Cho Kyung Hwan , Park Yong Gyu 
Published: November 2019

Abstract
Background
Previous studies reported that stature is inversely related to the risk of cardiovascular disease. However, there is limited evidence on the association between height and lipid profiles. We aimed to examine the association of height with total cholesterol and hypercholesterolemia based on the nationally representative dataset of Korean adults.

Methods
The data of 13,701 adults aged ≥19 years who participated in the Korea National Health and Nutrition Examination Survey (2013–2015) were used in this nationwide population-based cross-sectional study. Hypercholesterolemia was defined as a serum total cholesterol level ≥ 240 mg/dL or use of lipid-lowering medications. Multivariable linear regression and logistic regression analyses were used to examine the association of height with mean total cholesterol level and odds ratios (ORs) of hypercholesterolemia.

Results
Approximately 17% of participants had hypercholesterolemia. Mean total cholesterol levels decreased in the higher quartile (Q) groups of height after adjusting for confounding variables including age, sex, body mass index, smoking status, alcohol consumption, physical activity, income, educational level, hypertension, and diabetes mellitus (P for trend = 0.035). After adjusting for these potential confounding variables, the adjusted ORs of hypercholesterolemia were significantly lower in the Q3 and Q4 groups than in the Q1 group; ORs decreased in the higher quartile groups of height (OR: 0.83, 95% confidence interval: 0.71–0.99 in Q3; 0.81, 0.69–0.95 in Q4, P for trend = 0.007). The association between height (Q4 vs. Q1–Q3) and hypercholesterolemia was stronger in men or individuals without hypertension or diabetes than in women or individuals with such diseases.

Conclusions
Height is inversely associated with total cholesterol level and odds of hypercholesterolemia among Korean adults. Childhood environment related to short stature may be associated with hypercholesterolemia and cardiovascular health in adulthood.
Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes
Authors: Morya Edgard , Monte-Silva Kátia , Bikson Marom , Esmaeilpour Zeinab , Biazoli Claudinei Eduardo , Fonseca Andre , Bocci Tommaso , Farzan Faranak , Chatterjee Raaj , Hausdorff Jeffrey M. , da Silva Machado Daniel Gomes , Brunoni André Russowsky , Mezger Eva , Moscaleski Luciane Aparecida , Pegado Rodrigo , Sato João Ricardo , Caetano Marcelo Salvador , Sá Kátia Nunes , Tanaka Clarice , Li Li Min , Baptista Abrahão Fontes , Okano Alexandre Hideki 
Published: November 2019

AbstractTranscranial Direct Current Stimulation (tDCS) is a non-invasive technique used to modulate neural tissue. Neuromodulation apparently improves cognitive functions in several neurologic diseases treatment and sports performance. In this study, we present a comprehensive, integrative review of tDCS for motor rehabilitation and motor learning in healthy individuals, athletes and multiple neurologic and neuropsychiatric conditions. We also report on neuromodulation mechanisms, main applications, current knowledge including areas such as language, embodied cognition, functional and social aspects, and future directions. We present the use and perspectives of new developments in tDCS technology, namely high-definition tDCS (HD-tDCS) which promises to overcome one of the main tDCS limitation (i.e., low focality) and its application for neurological disease, pain relief, and motor learning/rehabilitation. Finally, we provided information regarding the Transcutaneous Spinal Direct Current Stimulation (tsDCS) in clinical applications, Cerebellar tDCS (ctDCS) and its influence on motor learning, and TMS combined with electroencephalography (EEG) as a tool to evaluate tDCS effects on brain function.
Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis
Authors: Shen Jiayu , Yu Shuqian , Sun Xiwen , Yin Meichen , Fei Jing , Zhou Jianwei 
Published: November 2019

AbstractBackgroundOvarian cancer (OC) is the deadliest cause in the gynecological malignancies. Most OC patients are diagnosed in advanced stages with less than 40% of women cured. However, the possible mechanism underlying tumorigenesis and candidate biomarkers remain to be further elucidated.ResultsGene expression profiles of GSE18520, GSE54388, and GSE27651 were available from Gene Expression Omnibus (GEO) database with a total of 91 OC samples and 22 normal ovarian (OV) tissues. Three hundred forty-nine differentially expressed genes (DEGs) were screened between OC tissues and OV tissues via GEO2R and online Venn software, followed by KEGG pathway and gene ontology (GO) enrichment analysis. The enriched functions and pathways of these DEGs contain male gonad development, cellular response to transforming growth factor beta stimulus, positive regulation of transcription from RNA polymerase II promoter, calcium independent cell-cell adhesion via plasma membrane cell adhesion molecules, extracellular matrix organization, pathways in cancer, cell cycle, cell adhesion molecules, PI3K-AKT signaling pathway, and progesterone mediated oocyte maturation. The protein-protein network (PPI) was established and module analysis was carried out using STRING and Cytoscape. Next, with PPI network analyzed by four topological methods in Cytohubba plugin of Cytoscape, 6 overlapping genes (DTL, DLGAP5, KIF15, NUSAP1, RRM2, andTOP2A) were eventually selected. GEPIA and Oncomine were implemented for validating the gene expression and all the six hub genes were highly expressed in OC specimens compared to normal OV tissues. Furthermore, 5 of 6 genes except forDTLwere associated with worse prognosis using Kaplan Meier-plotter online tool and 3 of 6 genes were significantly related to clinical stages, includingRRM2, DTL, andKIF15. Additionally, cBioPortal showed thatTOP2AandRRM2were the targets of cancer drugs in patients with OC, indicating the other four genes may also be potential drug targets.ConclusionSix hub genes (DTL, DLGAP5, KIF15, NUSAP1, RRM2, andTOP2A) present promising predictive value for the development and prognosis of OC and may be used as candidate targets for diagnosis and treatment of OC.
Predictors of good response to conventional synthetic DMARDs in early seronegative rheumatoid arthritis: data from the ESPOIR cohort
Authors: Lukas Cédric , Mary Julia , Debandt Michel , Daïen Claire , Morel Jacques , Cantagrel Alain , Fautrel Bruno , Combe Bernard 
Published: November 2019

Abstract
Background and objective
Early seronegative rheumatoid arthritis (RA) is considered a specific entity, especially regarding diagnostic issues and prognosis. Little is known about its potentially different initial clinical presentation and outcome. We aimed to determine predictors of good response to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) in seronegative RA patients with early inflammatory arthritis.

Patients and methods
Patients from the ESPOIR cohort with early inflammatory arthritis fulfilling the 2010 ACR/EULAR classification criteria for RA despite negativity for both rheumatoid factor and anti-CCP antibodies. The primary endpoint was a good or moderate EULAR response assessed after 1 year of follow-up, given at least 3 months of treatment with a csDMARD. Secondary objectives were to compare the early therapeutic response to methotrexate (MTX) and leflunomide (LEF) versus other csDMARDs (hydroxychloroquine, sulfasalazine) and to identify factors associated with functional disability (Health Assessment Questionnaire-Disability Index [HAQ-DI] > 0.5 at 1 year) and structural progression (van der Heijde-modified total Sharp score > 1 and > 5 points at 1 year). Logistic regression analysis was used to determine independent predictors of outcomes.

Results
One hundred seventy-two patients were analyzed. Overall, 98/172 (57%) patients received MTX during the first year of follow-up. A good or moderate EULAR response at 1 year was associated with early use of csDMARDs (i.e., within 3 months after the first joint swelling) on univariate and multivariable analysis (odds ratio = 2.41 [95% confidence interval 1.07–5.42], p = 0.03). Response rates were not affected by other classical prognostic factors (i.e., baseline DAS28). Presence of erosions at baseline was associated with Sharp score progression > 1 point and > 5 points (both p = 0.03) at 1 year. HAQ-DI ≥ 1 at inclusion and active smoking were significantly associated with HAQ-DI > 0.5 at 1 year.

Conclusion
Our results suggest that delay in initiation of csDMARD more than baseline clinical, biological, or imaging features predominantly affects the outcome in early seronegative RA. These findings confirm that the usual therapeutic concepts in RA (early treatment, tight control, and treat-to-target) should be applied similarly to both seropositive and seronegative disease forms.

Trial registration
ClinicalTrials.gov: NCT03666091. Registered September 11, 2018.
Post-traumatic stress disorder in Italy: a comprehensive evaluation of all the ICD comorbidities and gender-related differences
Authors: Ferretti Fabio , Pozza Andrea , Bossini Letizia , Desantis Serena , Olivola Miriam , Del Matto Laura , Gualtieri Giacomo , Gusinu Roberto , Bezzini Daiana , Fagiolini Andrea , Coluccia Anna 
Published: November 2019

Abstract
Objectives
The association between post-traumatic stress disorder (PTSD) and medical comorbidities is controversial since most studies focused on specific comorbidity and victim types. In Italy, data on this issue are scarce. A comprehensive evaluation of all the ICD medical categories co-occurring in PTSD may orient assessment and treatment during clinical and forensic practice. This is the first study evaluating all the ICD physical comorbidities and gender-related differences in Italian PTSD patients. Eighty-four PTSD patients (36 females, 48 males) were included. The Clinician-Administered PTSD Scale, Mini International Neuropsychiatric Interview and Davidson Trauma Scale were administered.

Results
Most patients had a PTSD consequent to an accident and half of them presented extreme symptom severity. No gender differences emerged on symptom severity/duration and age at the event. Metabolic (39.29%), circulatory (20.24%) and musculoskeletal systems/connective tissue diseases (17.86%) were the most frequent comorbidities. Metabolic/circulatory diseases were more frequent among males (p = 0.019 and p = 0.027, respectively) while females more frequently showed neoplasms (p = 0.039). Physical comorbidities represent a serious complication in PTSD patients and are more prevalent than in the Italian population. While gender is not associated with symptom presentation, it seems to play a key role in specific comorbidities including metabolic, circulatory and neoplastic diseases.
Interactions of free-living amoebae with the rice fungal pathogen, Rhizoctonia solani
Authors: Long John J. , Luna Emily K. , Jackson Mary , Wheat William , Jahn Courtney E. , Leach Jan E. 
Published: November 2019

Abstract
Objective
Rhizoctonia solani is a soil-borne fungal pathogen of many important crop plants. In rice, R. solani causes sheath blight disease, which results in devastating grain yield and quality losses. Few methods are available to control this pathogen and classic single gene resistance mechanisms in rice plants have not been identified. We hypothesize that alternate means of control are available in the environment including free-living amoebae. Amoebae are soil-, water- and air-borne microorganisms that are predominantly heterotrophic. Many amoeba species are mycophagous, and several harm their prey using mechanisms other than phagocytosis. Here, we used light and scanning electron microscopy to survey the interactions of R. solani with four amoeba species, with the goal of identifying amoebae species with potential for biocontrol.

Results
We observed a wide range of responses during interactions of R. solani with four different free-living amoebae. Two Acanthamoeba species encyst in co-cultures with R. solani at higher rates than medium without R. solani. Vermamoeba vermiformis (formerly Hartmanella vermiformis) attach to R. solani mycelium and are associated with mycelial shriveling and perforations of fungal cell walls, indicating an antagonistic interaction. No phenotypic changes were observed in co-cultures of Dictyostelium discoideum and R. solani.
Mentorship in academic radiology: why it matters
Authors: Bredella Miriam A. , Fessell David , Thrall James H. 
Published: November 2019

AbstractMentorship plays a critical role in the success of academic radiologists. Faculty members with mentors have better career opportunities, publish more papers, receive more research grants, and have greater overall career satisfaction. However, with the increasing focus on clinical productivity, pressure on turn-around times, and the difficult funding climate, effective mentoring in academic radiology can be challenging. The high prevalence of “burnout” among radiologists makes mentorship even more important. This article reviews benefits and challenges of mentorship in academic radiology, discusses how to institute a faculty mentoring program, examines different types of mentoring, and reviews challenges related to diversity and inclusion.
Metabolomic profiles of induced pluripotent stem cells derived from patients with rheumatoid arthritis and osteoarthritis
Authors: Kim Juryun , Kang Sunyoung Christina , Yoon Na Eun , Kim Yena , Choi Jinhyeok , Park Narae , Jung Hyerin , Jung Byung Hwa , Ju Ji Hyeon 
Published: November 2019

Abstract
Background
Metabolomics is the systemic study of the unique fingerprints of metabolites involved in cellular processes and biochemical reactions. The metabolomic approach is useful in diagnosing and predicting the development of rheumatoid arthritis (RA) and osteoarthritis (OA) and is emerging as a useful tool for identifying disease biomarkers. The aim of this study was to compare the metabolic blueprint of fibroblast-like synoviocyte (FLS) cells and induced pluripotent stem cells (iPSCs) derived from RA and OA patients.

Methods
Somatic cells of RA patients (n = 3) and OA patients (n = 3) were isolated, transduced with a lentiviral plasmid, and reprogrammed into iPSCs displaying pluripotency. Metabolic profiling of RA and OA patient–derived FLS cells and iPSCs was performed using liquid chromatography/mass spectrometry and statistical analysis. After normalization by the sum of the peak intensities through LC/MS, 37 metabolites were detected across RA and OA patients.

Results
The metabolites of RA and OA were distinguishable according to the PLS-DA analysis. LysoPC (20:4), 4-methoxychalcone, phosphorylcholine, and nicotinamide (NAM) were significantly higher in RA iPSCs than in OA iPSCs (p < 0.05). The NMNAT-3 enzyme, which catalyzes an important step in the biosynthesis of NAD+ from adenosine triphosphate, was also upregulated in RA iPSCs. Interestingly, the proliferation of RA iPSCs was significantly greater than OA iPSC proliferation (p < 0.05). NAM played a critical role in the proliferation of RA iPSCs but not in OA iPSCs. When iPSCs were treated with 100 nM of the NAM inhibitor tannic acid (TA), the proliferation of RA iPSCs was significantly reduced (p < 0.001).

Conclusions
The metabolites of RA and OA FLS cells and RA and OA iPSCs were all clearly distinguishable from each other. NAM played a critical role in the proliferation of RA iPSCs but not in OA iPSCs. TA effectively inhibited the expression of NAM in RA iPSCs and is a possible effective treatment for RA patients.