38 research outputs found

    Knowledge, Perceptions and Information about Hormone Therapy (HT) among Menopausal Women: A Systematic Review and Meta-Synthesis

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    BACKGROUND: The use of hormone therapy (HT) by menopausal women has declined since the Women's Health Initiative randomized trial (WHI) in 2002 demonstrated important harms associated with long-term use. However, how this information has influenced women's knowledge and attitudes is uncertain. We aimed to evaluate the attitudes and perceptions towards HT use, as well as specific concerns and information sources on HT since the WHI trial. METHOD/RESULTS: We did a systematic review to assess the attitudes and knowledge towards HT in women, and estimate the magnitude of the issue by pooling across the studies. Using meta-synthesis methods, we reviewed qualitative studies and surveys and performed content analysis on the study reports. We pooled quantitative studies using a random-effects meta-analysis. We analyzed 11 qualitative studies (n = 566) and 27 quantitative studies (n = 39251). Positive views on HT included climacteric symptom control, prevention of osteoporosis and a perceived improvement in quality of life. Negative factors reported included concerns about potential harmful effects, particularly cancer risks. Sources of information included health providers, media, and social contact. By applying a meta-synthesis approach we demonstrate that these findings are broadly applicable across large groups of patients. CONCLUSIONS: Although there are clear hazards associated with long-term HT use, many women view HT favorably for climacteric symptom relief. Media, as a source of information, is often valued as equivalent to health providers

    Dynamic Data Distribution of High Level Architecture Based on Publication and Subscription Tree

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    Abstract. To ensure the efficiency of data exchange between simulation members via multicast groups in the simulation system based on High Level Architecture (HLA), this paper proposes a novel method of dynamic data distribution based on publication and subscription tree(PS-Tree). The main contributions of this paper includes: (1) Proposing the structure of PS-Tree which can manifest the relationship of data exchange between simulation members. (2) Describing the method of dynamic data distribution based on PS-Tree by mining association rule and (3) Analyzing the performance. Experiment shows that this dynamic data distribution method can implement data distribution efficiently and effectively

    Relationship between High Serum Cystatin C Levels and the Risk of Gestational Diabetes Mellitus.

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    AIMS:Serum cystatin C (CysC) has recently been shown to be associated with the incidence of type 2 diabetes mellitus (T2DM) and progression to the pre-diabetic state. The aim of this study was to explore the relationship between serum CysC and the risk of gestational diabetes mellitus (GDM) in Chinese pregnant women. METHODS:This cross-sectional study consisted of 400 pregnant women including 111 with GDM and 289 with normal glucose tolerance at 24-28 weeks of gestation. The subjects were further divided into four groups according to the CysC quartiles, and their clinical characteristics were compared. The serum CysC concentration was measured using immunoturbidimetry and the degree of insulin resistance was assessed by the homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS:Serum CysC levels were significantly higher in pregnant women with GDM than in the healthy pregnant women[1.0(0.8-1.8) vs 0.7(0.6-1.0), P<0.01). The Spearman's correlation analysis showed that serum CysC was positively associated with HOMA-IR(r = 0.118, P<0.05) and the occurrence of GDM(r = 0.348, P<0.01). The pregnant women were divided into quartiles according to their serum CysC concentrations. Compared to the first quartile, pregnant women in Q2 (OR, 2.441; P = 0.025), Q3 (OR, 3.383; P = 0.001) and Q4 (OR, 5.516; P<0.001) had higher risk of GDM after adjusted for age, BMI, HbA1c and HOMA-IR. Further, with a rise in the serum CysC, there was an increasing trend in the HOMA-IR levels (P<0.05). A binary logistic regression analysis after adjusting for other confounding variables revealed a significant and independent association between serum CysC and GDM [OR = 14.269; 95% confidence interval, 4.977-40.908, P<0.01].The receiver operating characteristic curve analysis revealed that the optimal cutoff point for serum CysC to indicate GDM was 0.95 mg/L. CONCLUSIONS:Serum CysC is significantly and independently associated with insulin resistance and GDM. It may be a helpful biomarker to identify the risk of GDM in Chinese pregnant women

    Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes.

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    Genome alteration signatures reflect recurring patterns caused by distinct endogenous or exogenous mutational events during the evolution of cancer. Signatures of single base substitution (SBS) have been extensively studied in different types of cancer. Copy number alterations are important drivers for the progression of multiple cancer. However, practical tools for studying the signatures of copy number alterations are still lacking. Here, a user-friendly open source bioinformatics tool "sigminer" has been constructed for copy number signature extraction, analysis and visualization. This tool has been applied in prostate cancer (PC), which is particularly driven by complex genome alterations. Five copy number signatures are identified from human PC genome with this tool. The underlying mutational processes for each copy number signature have been illustrated. Sample clustering based on copy number signature exposure reveals considerable heterogeneity of PC, and copy number signatures show improved PC clinical outcome association when compared with SBS signatures. This copy number signature analysis in PC provides distinct insight into the etiology of PC, and potential biomarkers for PC stratification and prognosis

    A self-developed contained bag for laparoscopic myomectomy morcellation

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    Objectives: Open power morcellation during a laparoscopic myomectomy (LM) can result in the dissemination of benign or occult malignant tumor cells in the abdominopelvic cavity. The development of a new contained collection bag for power morcellation is now favored by gynecologic surgeons worldwide. Material and methods: This study was a single-arm trial comprising 20 women who consecutively underwent an LM involving the use of a newly designed contained collection bag for power morcellation between November 3rd 2017 and April 31st 2018. There was also a historical control group consisting of 30 women who underwent open power morcellation during an LM between May 1st 2017 and October 31st 2017. All the essential information concerning the patients and surgically related data, including the myoma size, the operation duration, and the cell count of the intraperitoneal irrigating fluid, were collected and analyzed. Results: The uterus size and the maximum diameters of the uterus and the myoma of the two groups were not significantly different (p = 0.65, p = 0.71, and p = 0.31, respectively). Pseudopneumoperitoneum was established and clear visualization was guaranteed in all 20 cases in the experimental group. The remaining fragment tissue amount (mean ± SD) and weight (mean ± SD) in the collection bag after morcellation in the experimental group were 5.00 ± 1.48 and 3.87 ± 1.31 (g). All the collection bags were routinely examined after the LM using normal saline, and no leaks or lesions were found. The cell counts of the intraperitoneal irrigating fluid both before and after morcellation were less than 105–106/L. The pathology of all the tissues confirmed that there were no malignant tumors. The operation of the experimental group was 18 mins longer than that of the historical control group (p = 0.00). Conclusions: This newly designed collection bag system for LM morcellation is effective, feasible, and safe
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