5,702 research outputs found

    Undergraduate Medical Education Sex- and Gender-based Education: An Institutional Audit and Integration Project

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    Background: While evidence-based medicine (EBM) supports the incorporation of Sex- and Gender-based Medicine (SGBM) into patient care, a significant gap exists in its translation to current undergraduate medical education (UME). Several studies assessing medical student and resident physician knowledge regarding SGBM demonstrate suboptimal awareness, knowledge base, and clinical incorporation. There is urgent need to evaluate UME under a SGBM-focused lens, to emphasize the existing SGBM content, and to identify additional opportunities for inclusion. Method: Lectures from two pre-clinical UME modules, ‘Cardiovascular’ (CV) and ‘Musculoskeletal/ Dermatology’ (MSK/Derm), at the University of Alabama at Birmingham School of Medicine were subjected to a SGBM taskforce audit. Taskforce auditors were tasked with 1) assessing for pre-existing inclusion of SGBM as well as 2) opportunities for SGBM incorporation. Opportunities for inclusion were identified by a taskforce SGBM expert. Evidence-based SGBM material (e.g. slides) to fill the opportune gaps were subsequently created for module director consideration and ready incorporation. Post-audit follow-up of SGBM incorporation and uptake was completed for both modules. Results: Sixty-four lectures in the MSK/Derm and 23 CV lectures were reviewed by the SGBM audit taskforce. Approximately a third (36%) of all sessions included an element of pre-existing SGBM material (35% of CV; 36% MSK/Derm). Fourteen CV-specific SGBM opportunities were identified, and correlative SGBM inclusive material, was given to the CV module directors; thirteen of these were incorporated (92.8%). Nine MSK/Derm-specific SGBM opportunities were identified with correlative SGBM-inclusive material provided; two (22%) of these were incorporated. Conclusion: Inclusion of SGBM into medical school curriculum is important for comprehensive medical education and ultimately, for patient care. Identifying and collaborating on SGBM educational opportunities will be crucial for its timely uptake into the UME world. The creation of a dedicated taskforce which searches for inclusion opportunities across the curriculum is one approach to increase SGBM within UME.https://jdc.jefferson.edu/sexandgenderhealth/1031/thumbnail.jp

    High Density of Tumor-Associated Macrophage Staining Correlates with Poor Clinicopathologic Markers in Head and Neck Squamous Cell Carcinoma: A Meta-Analysis

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    Background: Head and neck squamous cell carcinoma (HNSCC) develops within a complex cellular microenvironment that promotes tumor growth, but also represents many potential therapeutic targets. Macrophage presence within that environment has been implicated in the growth, aggression, and persistence of HNSCC. Current literature reports variable degrees of association between tumor-associated macrophage (TAMs) density and clinicopathologic markers of disease.Inconsistent findings may result from grouping of TAM subtypes, which include both M1 (pro-inflammatory) and M2 (immunosuppressive). Our aim is to define the prognostic significance of the phenotypes of tumor-associated macrophages in HNSCC. Methods: We conducted a meta-analysis of the existing publications investigating the relationship between TAMs (total and M2 subtype) and T stage, nodal involvement, vascular invasion, lymphatic invasion, and tumor differentiation. Forest plots and risk ratios were generated to report overall effect. Results: Higher density of both total and M2 subtype of TAMs in the tumor microenvironment is associated with advanced T stage, increased rates of nodal positivity, presence of vascular invasion, and presence of lymphatic invasion (p \u3c 0.0001). There is no significant association between either total or M2 TAM density and tumor differentiation. Conclusion: Increased density of TAMs, including those of the M2 phenotype, correlates with poor clinicopathologic markers in HNSCC, and therefore poor clinical prognosis. It is unknown whether this relationship is causative or correlative. Additional investigation into the mechanisms behind TAM recruitment and differentiation, and effect of TAM population manipulation on tumor behavior will help define the feasibility of TAM-targeted therapies

    Patient Reported Outcomes in Sickle Cell Disease Examined Within a Conceptual Model

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    Objective: To examine the relations between patient reported outcomes (PROs) within a conceptual model for adults with sickle cell disease (SCD) ages 18 – 45 years enrolled in the Sickle Cell Disease Implementation Consortium (SCDIC) registry. We hypothesized that patient and SCD related factors and barriers to care would independently contribute to functioning as measured using the PRO domains. Additionally, pain and other SCD related complications are expected to impact the relation between the variables. Methods: Participants completed a 48-item survey that included socio-demographics and PRO measures, such as social functioning, pain impact emotional distress, and cognitive functioning. Participants reported on lifetime SCD complications, pain episode frequency, timing and severity, and barriers to medical care. Healthcare utilization was obtained from medical records abstractions. Results: Higher pain frequency and severity and history of treatment for depression were associated with higher odds of worse outcomes in almost all PRO domains, controlling for age and gender for the 2,054 participants. Such social determinants of health as lower household income and unemployment, particularly due to disability status, were associated with higher odds of worse outcomes. Reports of fewer individual barriers to care were associated with better outcomes in emotion, social, cognitive and fatigue domains, while reports of fewer self-reported SCD complications/treatments were associated with better outcomes in emotion and sleep impact domains. Conclusions: Study results highlight the importance of the biopsychosocial model to enhance understanding of the needs of this complex population, and to design multi-dimensional approaches for providing more effective interventions to improve outcomes. @font-face {font-family: Cambria Math ; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Times; panose-1:2 0 5 0 0 0 0 0 0 0; mso-font-charset:0; mso-generic-font-family:auto; mso-font-pitch:variable; mso-font-signature:-536870145 1342185562 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent: ; margin:0in; mso-pagination:widow-orphan; font-size:12.0pt; font-family: Times New Roman ,serif; mso-fareast-font-family: Times New Roman ;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family: Calibri ,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family: Times New Roman ; mso-bidi-theme-font:minor-bidi;}div.WordSection1 {page:WordSection1;

    The Noncommutative Harmonic Oscillator based in Simplectic Representation of Galilei Group

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    In this work we study symplectic unitary representations for the Galilei group. As a consequence the Schr\"odinger equation is derived in phase space. The formalism is based on the non-commutative structure of the star-product, and using the group theory approach as a guide a physical consistent theory in phase space is constructed. The state is described by a quasi-probability amplitude that is in association with the Wigner function. The 3D harmonic oscillator and the noncommutative oscillator are studied in phase space as an application, and the Wigner function associated to both cases are determined.Comment: 7 pages,no figure

    Evolution of Novel Signal Traits in the Absence of Female Preferences in Neoconocephalus Katydids (Orthoptera, Tettigoniidae)

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    Background Significance: Communication signals that function to bring together the sexes are important for maintaining reproductive isolation in many taxa. Changes in male calls are often attributed to sexual selection, in which female preferences initiate signal divergence. Natural selection can also influence signal traits if calls attract predators or parasitoids, or if calling is energetically costly. Neutral evolution is often neglected in the context of acoustic communication. Methodology/Principal Findings: We describe a signal trait that appears to have evolved in the absence of either sexual or natural selection. In the katydid genus Neoconocephalus, calls with a derived pattern in which pulses are grouped into pairs have evolved five times independently. We have previously shown that in three of these species, females require the double pulse pattern for call recognition, and hence the recognition system of the females is also in a derived state. Here we describe the remaining two species and find that although males produce the derived call pattern, females use the ancestral recognition mechanism in which no pulse pattern is required. Females respond equally well to the single and double pulse calls, indicating that the derived trait is selectively neutral in the context of mate recognition. Conclusions/Significance: These results suggest that 1) neutral changes in signal traits could be important in the diversification of communication systems, and 2) males rather than females may be responsible for initiating signa

    CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis

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    Macrophages abundantly found in the tumor microenvironment enhance malignancy(1). At metastatic sites a distinct population of metastasis associated macrophages (MAMs) promote tumor cell extravasation, seeding and persistent growth(2). Our study has defined the origin of these macrophages by showing Gr1+ inflammatory monocytes (IMs) are preferentially recruited to pulmonary metastases but not primary mammary tumors, a process also found for human IMs in pulmonary metastases of human breast cancer cells. The recruitment of these CCR2 (receptor for chemokine CCL2) expressing IMs and subsequently MAMs and their interaction with metastasizing tumor cells is dependent on tumor and stromal synthesized CCL2 (FigS1). Inhibition of CCL2/CCR2 signaling using anti-CCL2 antibodies blocks IM recruitment and inhibits metastasis in vivo and prolongs the survival of tumor-bearing mice. Depletion of tumor cell-derived CCL2 also inhibits metastatic seeding. IMs promote tumor cell extravasation in a process that requires monocyte-derived VEGF. CCL2 expression and macrophage infiltration are correlated with poor prognosis and metastatic disease in human breast cancer (Fig S2)(3-6). Our data provides the mechanistic link between these two clinical associations and indicates new therapeutic targets for treating metastatic breast disease

    Evaluating Acquisition Time of rfMRI in the Human Connectome Project for Early Psychosis. How Much Is Enough?

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    Resting-state functional MRI (rfMRI) correlates activity across brain regions to identify functional connectivity networks. The Human Connectome Project (HCP) for Early Psychosis has adopted the protocol of the HCP Lifespan Project, which collects 20 min of rfMRI data. However, because it is difficult for psychotic patients to remain in the scanner for long durations, we investigate here the reliability of collecting less than 20 min of rfMRI data. Varying durations of data were taken from the full datasets of 11 subjects. Correlation matrices derived from varying amounts of data were compared using the Bhattacharyya distance, and the reliability of functional network ranks was assessed using the Friedman test. We found that correlation matrix reliability improves steeply with longer windows of data up to 11–12 min, and ≥14 min of data produces correlation matrices within the variability of those produced by 18 min of data. The reliability of network connectivity rank increases with increasing durations of data, and qualitatively similar connectivity ranks for ≥10 min of data indicates that 10 min of data can still capture robust information about network connectivities
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