Miracle-dz/UniFAR-FTUs huggingface dataset:
Patterns of recurrence and impact on survival in patients with clear cell ovarian carcinoma

Background Patients with recurrent clear cell ovarian cancer have poor prognosis and limited effective systemic treatment options. Objectives To characterize patterns of recurrence and compare overall survival and post-recurrence survival parameters in patients with recurrent ovarian clear cell carcinoma. Methods Clinical data on patients with ovarian clear cell carcinoma between June 1995 and August 2014 were collected. Patients with clear cell ovarian cancer recurrence were included in this study. Patients with different histologic sub-type, persistent or progressive disease on completion of the initial treatment were excluded. Descriptive statistics, univariate and multivariable analyses, and Kaplan-Meier survival probability estimates were completed. The log-rank test was used to quantify survival differences on univariable analysis. To search for significant covariates related to the overall survival and post-recurrence survival, a univariable Cox proportional hazard model was performed. Results A total of 209 patients met inclusion criteria. Of these, 61 (29%) patients who were free of disease at completion of the initial treatment had recurrence. Patterns of recurrence were as follows: 38 (62%) patients had multiple-site recurrence, 12 (20%) had single-site recurrence, and 11 (18%) had nodal recurrence only. The median overall survival was 44.7 months (95% CI 33.4 to 64.2) and was significantly associated with pattern of recurrence (p=0.005). The median post-recurrence survival was 18.4 months (95% CI 12.5 to 26.7): 54.4 months (95% CI 11 to 125.5) in single-site recurrence, 13.7 months (95% CI 6.8 to 16.5) in multiple-site recurrence, and 30.1 (95% CI 7.2 to 89) months in nodal recurrence (p=0.0002). In the multivariable analysis, pattern of recurrence was a predictor of post-recurrence survival. Six patients (9.8%) had a prolonged disease-free interval after recurrence (disease-free for more than 30 months after completion of treatment for recurrence). Prolonged recurrences were noted in 4 (33%) of 12 patients with single-site recurrence, 1 (9%) of 11 patients with nodal recurrence, and in 1 (2.7%) of 38 patients with multiple-site recurrence. Three of the six patients with a prolonged disease-free interval after recurrence were treated surgically at the time of recurrence. Conclusion Ovarian clear cell carcinoma predominantly recurs in multiple sites and it is associated with a high mortality rate and short post-recurrence survival. When recurrences are limited to a single site, or only to lymph nodes, the median post-recurrence survival is longer. Disease-free interval after recurrence is longer in patients with single-site recurrence who are treated surgically at the time of recurrence.
"Yes, I'm the Doctor": One Department's Approach to Assessing and Addressing Gender-Based Discrimination in the Modern Medical Training Era.

While gender-based bias and discrimination (GBD) is known to exist in medical training, there is limited guidance for training programs on how to understand and combat this issue locally. The Massachusetts General Hospital Department of Surgery established the Gender Equity Task Force (GETF) to address GBD in the local training environment. In 2017, members of the GETF surveyed residents in surgery, anesthesia, and internal medicine at two academic hospitals to better understand perceived sources, frequency, forms, and effects of GBD. Overall, 371 residents completed the survey (60% response rate, 197 women). Women trainees were more likely to endorse personal experience of GBD and sexual harassment than men (P < .0001) with no effect of specialty on rates of GBD or sexual harassment. Patients and nursing staff were the most frequently identified groups as sources of GBD. While an overwhelming majority of both men (86%) and women (96%) respondents either experienced or observed GBD in the training environment, less than 5% of respondents formally reported such experiences, most frequently citing a belief that nothing would happen. Survey results served as the basis for a variety of interventions addressing nursing staff and patients as sources of GBD, low confidence in formal reporting mechanisms, and the pervasiveness of GBD, including sexual harassment, across specialties. These results reproduce other studies' findings that GBD and sexual harassment disproportionately affect women trainees while demonstrating how individual training programs can incorporate local GBD data when planning interventions to address GBD.
Metabolomics: population epidemiology and concordance in Australian children aged 11–12 years and their parents

Objectives Nuclear magnetic resonance (NMR) metabolomics is high throughput and cost-effective, with the potential to improve the understanding of disease and risk. We examine the circulating metabolic profile by quantitative NMR metabolomics of a sample of Australian 11–12 year olds children and their parents, describe differences by age and sex, and explore the correlation of metabolites in parent–child dyads. Design The population-based cross-sectional Child Health CheckPoint study nested within the Longitudinal Study of Australian Children. Setting Blood samples collected from CheckPoint participants at assessment centres in seven Australian cities and eight regional towns; February 2015–March 2016. Participants 1180 children and 1325 parents provided a blood sample and had metabolomics data available. This included 1133 parent–child dyads (518 mother–daughter, 469 mother–son, 68 father–daughter and 78 father–son). Outcome measures 228 metabolic measures were obtained for each participant. We focused on 74 biomarkers including amino acid species, lipoprotein subclass measures, lipids, fatty acids, measures related to fatty acid saturation, and composite markers of inflammation and energy homeostasis. Results We identified differences in the concentration of specific metabolites between childhood and adulthood and in metabolic profiles in children and adults by sex. In general, metabolite concentrations were higher in adults than children and sex differences were larger in adults than in children. Positive correlations were observed for the majority of metabolites including isoleucine (CC 0.33, 95% CI 0.27 to 0.38), total cholesterol (CC 0.30, 95% CI 0.24 to 0.35) and omega 6 fatty acids (CC 0.28, 95% CI 0.23 to 0.34) in parent–child comparisons. Conclusions We describe the serum metabolite profiles from mid-childhood and adulthood in a population-based sample, together with a parent–child concordance. Differences in profiles by age and sex were observed. These data will be informative for investigation of the childhood origins of adult non-communicable diseases and for comparative studies in other populations.
A latent profile analysis of coping responses to individuals’ most traumatic event: associations with adaptive and maladaptive mental health outcomes

ABSTRACT Background & Objectives: This study explores how empirically-derived coping response patterns influence mental health. Design: Emerging adults, currently enrolled in college and aged 18–24 (N = 432; Mage = 19.66; SD = 1.65), completed self-report measures of trauma exposure, coping responses to self-selected most traumatic event (MTE), resilience, posttraumatic growth (PTG), depressive symptoms, and posttraumatic stress symptoms (PTSS). Methods: Eight coping subscales were included as indicators in a latent profile analysis. Then, associations between established profiles and mental health outcomes were examined, covarying for demographic and trauma-related variables. Results: Considering fit statistics, class size, profile patterns, and theory, the four-class model was deemed most appropriate: High Overall Coping (HCOPE; n = 146, 34%), Low Overall Coping (LCOPE; n = 92, 22%), High Engagement Coping (HENG; n = 115, 27%), and High Disengagement Coping (HDIS; n = 73, 17%). HENG participants endorsed above-average resilience and PTG, coupled with below-average depressive symptoms and PTSS. Compared to the sample average, HDIS participants endorsed lower resilience and PTG, coupled with higher depressive symptoms and PTSS. LCOPE participants endorsed low levels of all outcomes. HCOPE participants endorsed high levels of all outcomes. Conclusions: Findings suggest that clinicians who promote engagement coping and discourage disengagement coping among trauma-exposed individuals may engender the most desirable constellation of mental health outcomes.
Estimating Implicit and Explicit Gender Bias Among Health Care Professionals and Surgeons.

Importance The Implicit Association Test (IAT) is a validated tool used to measure implicit biases, which are mental associations shaped by one's environment that influence interactions with others. Direct evidence of implicit gender biases about women in medicine has yet not been reported, but existing evidence is suggestive of subtle or hidden biases that affect women in medicine. Objectives To use data from IATs to assess (1) how health care professionals associate men and women with career and family and (2) how surgeons associate men and women with surgery and family medicine. Design, Setting, and Participants This data review and cross-sectional study collected data from January 1, 2006, through December 31, 2017, from self-identified health care professionals taking the Gender-Career IAT hosted by Project Implicit to explore bias among self-identified health care professionals. A novel Gender-Specialty IAT was also tested at a national surgical meeting in October 2017. All health care professionals who completed the Gender-Career IAT were eligible for the first analysis. Surgeons of any age, gender, title, and country of origin at the meeting were eligible to participate in the second analysis. Data were analyzed from January 1, 2018, through March 31, 2019. Main Outcomes and Measures Measure of implicit bias derived from reaction times on the IATs and a measure of explicit bias asked directly to participants. Results Almost 1 million IAT records from Project Implicit were reviewed, and 131 surgeons (64.9% men; mean [SD] age, 42.3 [11.5] years) were recruited to complete the Gender-Specialty IAT. Healthcare professionals (n = 42 991; 82.0% women; mean [SD] age, 32.7 [11.8] years) held implicit (mean [SD] D score, 0.41 [0.36]; Cohen d = 1.14) and explicit (mean [SD], 1.43 [1.85]; Cohen d = 0.77) biases associating men with career and women with family. Similarly, surgeons implicitly (mean [SD] D score, 0.28 [0.37]; Cohen d = 0.76) and explicitly (men: mean [SD], 1.27 [0.39]; Cohen d = 0.93; women: mean [SD], 0.73 [0.35]; Cohen d = 0.53) associated men with surgery and women with family medicine. There was broad evidence of consensus across social groups in implicit and explicit biases with one exception. Women in healthcare (mean [SD], 1.43 [1.86]; Cohen d = 0.77) and surgery (mean [SD], 0.73 [0.35]; Cohen d = 0.53) were less likely than men to explicitly associate men with career (B coefficient, -0.10; 95% CI, -0.15 to -0.04; P < .001) and surgery (B coefficient, -0.67; 95% CI, -1.21 to -0.13; P = .001) and women with family and family medicine. Conclusions and Relevance The main contribution of this work is an estimate of the extent of implicit gender bias within surgery. On both the Gender-Career IAT and the novel Gender-Specialty IAT, respondents had a tendency to associate men with career and surgery and women with family and family medicine. Awareness of the existence of implicit biases is an important first step toward minimizing their potential effect.
Food Insecurity in Portugal Among Middle- and Older-Aged Adults at a Time of Economic Crisis Recovery: Prevalence and Determinants

Background: To characterize the scenario of food insecurity in Portugal at a time of economic crisis recovery is of the utmost relevance. Objective: This study aimed to estimate the prevalence and to identify the determinants of food insecurity during economic crisis recovery in a population-based urban sample of middle- and older-aged Portuguese adults. Methods: A cross-sectional study including 604 participants of the EPIPorto cohort was conducted. Data on sociodemographic characteristics and on food security status were collected. Food security status was assessed using the US Household Food Security Survey Module: Six-Item Short Form. Logistic regression models, crude and adjusted for sex, age, education, and household income perception, were performed. Results: The prevalence of food insecurity was 16.6%. Women (odds ratio [OR] = 1.96; 95% confidence interval [CI]: 1.09-3.54), those less educated (OR = 5.46; 95% CI: 2.84-10.46), and those who had the perception of an insufficient household income (OR = 10.39; 95% CI: 5.00-21.56) were more likely to belong to a food insecure household. Unmarried individuals (OR = 1.79; 95% CI: 1.05-3.06) and lower white-collar workers (OR = 2.22; 95% CI: 1.03-4.77) were also more prone to live within a food insecure household, regardless of sex, age, education, and household income perception. Conclusions: The obtained information is valuable for the development of intervention strategies to reduce food insecurity in middle- and older-aged adults, suggesting that women, unmarried, less educated individuals, less skilled workers, and lower income families should be targeted.
Influenza in Children With Special Risk Medical Conditions: A Systematic Review and Meta-Analysis.

BACKGROUND Children with special risk medical conditions (SRMC) are over-represented in influenza hospitalizations. A systematic review was undertaken to determine whether children with SRMCs experience greater complications or severity following influenza infection. METHODS Bibliographies of pertinent articles were searched in MEDLINE and EMBASE (1990 to March 2018) and contact made with the investigators of unpublished studies containing relevant data. Studies of children (aged ≤18 years) with a SRMC hospitalized with influenza were included. Outcomes were pneumonia, intensive care unit (ICU) admission, mechanical ventilation, neurologic outcomes (seizures, encephalopathy), death and length of stay in hospital or ICU. RESULTS Twenty-two studies met inclusion criteria. Compared to healthy peers, children with SRMC had higher odds of ICU admission [pooled odds ratio (OR) 1.66 (95% confidence interval (CI): 1.25-2.21)], for mechanical ventilation [pooled OR 1.53 (95% CI: 0.93-2.52)] and death [pooled OR 1.34 (95% CI: 0.74-2.41)]. Additionally, children with SRMC were more likely to develop bacterial pneumonia (crude OR 1.7; 95% CI: 1.1-2.6) or experience prolonged hospital length of stay [adjusted rate ratio 1.75 (95% CI: 1.44-2.11)]. The level of GRADE evidence was low for all outcomes considered in this review. CONCLUSIONS While there was evidence that ICU management and bacterial pneumonia increases in children with SRMC, evidence showing an increase in the probability of death or need for mechanical ventilation was inconsistent. Further research using large datasets should evaluate the impact of complications and associated morbidity from influenza in SRMC children.
Gene Expression in Granulosa Cells From Small Antral Follicles From Women With or Without Polycystic Ovaries

Abstract Context Polycystic ovary syndrome (PCOS) is the most common cause of anovulation. A key feature of PCOS is arrest of follicles at the small- to medium-sized antral stage. Objective and Design To provide further insight into the mechanism of follicle arrest in PCOS, we profiled (i) gonadotropin receptors; (ii) characteristics of aberrant steroidogenesis; and (iii) expression of anti-Müllerian hormone (AMH) and its receptor in granulosa cells (GCs) from unstimulated, human small antral follicles (hSAFs) and from granulosa lutein cells (GLCs). Setting GCs from hSAFs were collected at the time of cryopreservation of ovarian tissue for fertility preservation and GLCs collected during oocyte aspiration before in vitro fertilization/intracytoplasmic sperm injection. Participants We collected hSAF GCs from 31 women (98 follicles): 10 with polycystic ovaries (PCO) and 21 without. GLCs were collected from 6 women with PCOS and 6 controls undergoing IVF. Main Outcome Measures Expression of the following genes: LHCGR, FSHR, AR, INSR, HSD3B2, CYP11A1, CYP19, STAR, AMH, AMHR2, FST, INHBA, INHBB in GCs and GLCs were compared between women with PCO and controls. Results GCs in hSAFs from women with PCO showed higher expression of LHCGR in a subset (20%) of follicles. Expression of FSHR (P < 0.05), AR (P < 0.05), and CYP11A1 (P < 0.05) was lower, and expression of CYP19A1 (P < 0.05), STAR (P < 0.05), HSD3B2 (P = NS), and INHBA (P < 0.05) was higher in PCO GCs. Gene expression in GL cells differed between women with and without PCOS but also differed from that in GCs. Conclusions Follicle arrest in PCO is characterized in GCs by differential regulation of key genes involved in follicle growth and function.
Psychometric Properties of Two Brief Versions of the Hopkins Symptom Checklist: HSCL-5 and HSCL-10

The Hopkins Symptom Checklist–25 (HSCL-25) is a widely applied measure of depression and anxiety. The present study examines two of its short forms—the HSCL-5 and HSCL-10, which have been proposed by previous research—in a representative sample of the German general population. To this end, we conducted exploratory and confirmatory analysis on two subsamples (n = 1,246 and n = 1,216). Our results suggest that, compared with the HSCL-25, both short forms represent economical ways of assessing depression and anxiety. Model fit was good and correlations with established measures demonstrate convergent validity. Both HSCL short forms are strongly invariant across sex, and we found evidence for partial strong invariance across age groups. Further analyses showed that differences in HSCL can be partially explained by sociodemographic variables. Finally, we report normative values for usage by researchers and clinicians. We recommend the HSCL-5 and HSCL-10 for clinical and research-oriented application.
Barcoding of Estuarine Macrophytes and Phylogenetic Diversity of Estuaries along the South African Coastline.

Plant DNA barcoding serves as an effective approach to building community phylogenies and increasing our understanding of the factors that determine plant community assemblages. The aims of the study were to 1) barcode macrophytes with high estuarine fidelity and 2) to determine the phylogenetic diversity (PD) of selected South African estuaries for conservation prioritisation. Three DNA barcoding gene regions (rbcLa, matK and trnH-psbA) were assessed, and community phylogenies were constructed for 270 estuaries. Generally, the matK barcode had the greatest discrimination success rate of 67.4 % (parsimony informative sites = 418). Closely related species formed clades that also represent estuarine habitat types. Estuaries with high phylogenetic diversity along the south-east coast were associated with a combination of mangrove and salt marsh habitats. Species richness was strongly and significantly correlated with PD (r = 0.93; p < 0.000). Based on mean pairwise distance (MPD), more temperate estuaries (56) showed significant phylogenetic clustering compared to subtropical estuaries (24) (p<0.05). Similarly, based on mean nearest taxon distance (MNTD), significant phylogenetic clustering was highest in temperate estuaries (50) compared to subtropical estuaries (12) (p<0.05). This suggests that the coexistence of plant species in estuaries is structured by both biotic and abiotic interactions.
ATP6V1H facilitates osteogenic differentiation in MC3T3-E1 cells via Akt/GSK3β signaling pathway

ABSTRACT Type 2 diabetes mellitus (T2DM) accounts for approximately 90% of all diabetic patients, and osteoporosis is one of the complications during T2DM process. ATP6V1H (V-type proton ATPase subunit H) displays crucial roles in inhibiting bone loss, but its role in osteogenic differentiation remains unknown. Therefore in this study, we aimed to explore the biological role of ATP6V1H in osteogenic differentiation. OM (osteogenic medium) and HG (high glucose and free fatty acids) were used to induce the MC3T3-E1 cells into osteogenic differentiation in a T2DM simulating environment. CCK8 assay was used to detect cell viability. Alizarin Red staining was used to detect the influence of ATP6V1H on osteogenic differentiation. ATP6V1H expression increased in OM-MC3T3-E1 cells, while decreased in OM+HG-MC3T3-E1 cells. ATP6V1H promoted osteogenic differentiation of OM+HG-MC3T3-E1 cells. Overexpression of ATP6V1H inhibited Akt/GSK3β signaling pathway, while knockdown of ATP6V1H promoted Akt/GSK3β signaling pathway. ATP6V1H overexpression promoted osteogenic differentiation of OM+HG-MC3T3-E1 cells. The role of ATP6V1H in osteogenic differentiation in a T2DM simulating environment involved in Akt/GSK3β signaling pathway. These data demonstrated that ATP6V1H could serve as a potential target for osteogenic differentiation in a T2DM simulating environment.
Verbal memory and sentence comprehension in aphasia: A case series

ABSTRACT This case series explores the relationship between verbal memory capacity and sentence comprehension in four patients with aphasia. Two sentence comprehension tasks showed that two patients, P1 and P2, had impaired syntactic comprehension, whereas P3 and P4’s sentence comprehension was intact. The memory assessment tasks showed that P1 and P2 had severely impaired short-term memory, whereas P3 and P4 performed within the normal range in the short-term memory tasks. This finding suggests an association between short-term memory deficit and sentence comprehension difficulties. P1 and P3 exhibited impaired comparable working memory deficits, suggesting a dissociation between working memory and sentence comprehension.
Performance of cepheid GeneXpert HIV-1 viral load plasma assay to accurately detect treatment failure: a clinical meta-analysis.

BACKGROUND Coverage of viral load testing remains low with only half of the patients in need having adequate access. Alternative technologies to high throughput centralized machines can be used to support viral load scale-up; however, clinical performance data are lacking. We conducted a meta-analysis comparing the Cepheid Xpert HIV-1 viral load plasma assay to traditional laboratory-based technologies. METHODS Cepheid Xpert HIV-1 and comparator laboratory technology plasma viral load results were provided from 13 of the 19 eligible studies, which accounted for a total of 3790 paired data points. We used random effects models to determine the accuracy and misclassification at various treatment failure thresholds (detectable, 200, 400, 500, 600, 800 and 1000 copies/ml). RESULTS Thirty percent of viral load test results were undetectable, while 45% were between detectable and 10 000 copies/ml and the remaining 25% were above 10 000 copies/ml. The median Xpert viral load was 119 copies/ml and the median comparator viral load was 157 copies/ml, while the log10 bias was 0.04 (0.02-0.07). The sensitivity and specificity to detect treatment failure were above 95% at all treatment failure thresholds, except for detectable, at which the sensitivity was 93.33% (95% confidence interval: 88.2-96.3) and specificity was 80.56% (95% CI: 64.6-90.4). CONCLUSION The Cepheid Xpert HIV-1 viral load plasma assay results were highly comparable to laboratory-based technologies with limited bias and high sensitivity and specificity to detect treatment failure. Alternative specimen types and technologies that enable decentralized testing services can be considered to expand access to viral load.