https://hull-repository.worktribe.com/preview/1797952/1-s2.0-S0140673618322797-main.pdf

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

Standards of Medical Care in Diabetes

https://openresearch-repository.anu.edu.au/bitstream/1885/164632/2/01_Bin%2bSayeed_Global%252C_regional%252C_and_national_2018.pdf

Global, regional, and national incidence, prevalence, andyears lived with disability for 354 diseases and injuries for195 countries and territories, 1990–2017: a systematicanalysis for the Global Burden of Disease Study 2017

https://research-information.bris.ac.uk/ws/files/259213304/PIIS0140673620309259.pdf

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017

Thyroglobulin antibodies may serve as predictive marker for papillary thyroid carcinoma in indeterminate cytology: Acceptable or not?

Evolutionary algorithms are effective methods for solving optimization problems that do not require any special assumptions to find optimal solutions. Optimization based on teaching and learning has been parallelized using CUDA parallelization technology. The results show that the proposed parallel version of the algorithm is fast and efficient in teaching and learning phases.

CUDA Parallelization of Teacher-Learner Optimization Algorithm

Introduction: Involving approximately 4% of malignancies in women, ovarian cancer remains one of the most fatal cancers. However, it is important to consider conditions which are not primary ovarian diseases, but mimic their behaviors. In the present study, the epidemiological characteristics of extra-ovarian conditions mimicking ovarian masses are evaluated. Methods: This cross-sectional study was conducted on patients with a primary diagnosis of ovarian mass who underwent surgery by gynecologists between January 2012 and March 2016. The surgeon’s primary diagnosis and the final histopathology assessment report were evaluated for each patient. In cases where the final histopathology report was not in the spectrum of gynecologic pathology, possible reasons for incompatibility were investigated. Results: Ultimately, 1876 patients with a mean age of 48.26±15.4 years underwent analysis. Among these patients, 27 (1.4%) had masses of a non-gynecologic origin. The final diagnoses were divided into four main categories: masses with a gastrointestinal origin (55.5%), infectious (18.5%), those with a retroperitoneal origin (18.5%), and embryologic-origin masses (7.4%). Conclusion: The results suggest that extra-ovarian diseases should be considered in differential diagnoses of patients with a primary diagnosis of ovarian cancer. Furthermore, it was found that metastases from gastrointestinal tract tumors and infectious diseases are the most common pathologies among extra-ovarian conditions.

http://www.ijtmgh.com/article_69632_91713cb49fa176e5b5ca5910f34fae6d.pdf

Epidemiology and Characteristics of Extra-ovarian Conditions Mimicking Ovarian Cancer: A 4-Year Assay Among Iranian Women

Mild traumatic brain injury (mTBI), or concussion, can lead to persistent cognitive and functional symptoms that impede quality of life to a varying extent. This condition is referred to as post-concussive syndrome (PCS). Sleep disturbances are part of it but their distribution among different genders remains scarcely investigated. This pilot cross-sectional anonymous web-based survey interviewed volunteer 18–55 years old participants with a recent (i.e., less than 5 years) reported history of mTBI. Questionnaires related to persistent post-concussive symptoms (PPCS; Rivermead post-concussion symptoms questionnaire), sleep quality (Pittsburgh Sleep Quality Index) and daytime sleepiness (Epworth Sleepiness Scale) were administered as part of the survey. Ninety-one participants’ responses were analysed (61 female; 30 male); 43% of them suffered from post-concussive syndrome, 60% reported poor sleep quality and 34% experienced excessive daytime sleepiness. The proportion of PPCS was significantly higher in female participants as compared to males (female: 57%; male: 13%; Fisher’s exact test p < 0.001). Excessive daytime sleepiness was also significantly more present in females (female: 44%; male: 13%; p < 0.001) whereas poor sleep quality was present in similar proportions between females and males (female: 66%; male: 50%; p = 0.176). Even though based on a relatively small sample, these findings highlight important gender differences that should be accounted for in PPCS medical care and management.

/pdf/gender-specificities-in-sleep-disturbances-following-mild-5yaipgzy.pdf

Gender Specificities in Sleep Disturbances following Mild Traumatic Brain Injury: A Preliminary Study

Data-driven ontology-based knowledge (OK) presentation and computational linguistics for evolving semantic Asian social networks (ASNs) can make one of the most important platforms that provide robust and real-time data mapping in massive access across the heterogeneous big data sources in the web that is named OK-ASN. It benefits from computational intelligence, web-of-things (WoT) architecture, semantic features, statistical learning and pattern recognition, database management, computer vision, cyber-security, and language processing. OK-ASN is a critical strategy for WoT big data mining and enterprises from social media to medical and industrial sectors.

Mohammad Hossein Khosravi

Papers

Thyroglobulin antibodies may serve as predictive marker for papillary thyroid carcinoma in indeterminate cytology: Acceptable or not?

CUDA Parallelization of Teacher-Learner Optimization Algorithm

Epidemiology and Characteristics of Extra-ovarian Conditions Mimicking Ovarian Cancer: A 4-Year Assay Among Iranian Women

Gender Specificities in Sleep Disturbances following Mild Traumatic Brain Injury: A Preliminary Study

Editorial: Ontology-based Knowledge Presentation and Computational Linguistics for Semantic Big Social Data Analytics in Asian Social Networks