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Institution

Shahid Beheshti University of Medical Sciences and Health Services

EducationTehran, Iran
About: Shahid Beheshti University of Medical Sciences and Health Services is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Cancer. The organization has 19456 authors who have published 33659 publications receiving 365676 citations.


Papers
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Journal ArticleDOI
TL;DR: There is an increasing trend for breast cancer mortality in Iran and health education programs to rectify the lack of women awareness about breast cancer signs and effective screening are urgently needed.
Abstract: Background: Breast cancer is the most commonly diagnosed cancer in women worldwide In Iran, it ranks first among cancers diagnosed in women and is the fifth most common cause of death. The aim of this study was to present the mortality trends from breast cancer for Iranian women during a period of almost a decade, in order to provide update information regarding the likely future. Methods: We analyzed National death Statistic reported by the Iranian Ministry of Health and Medical Education from 1995 to 2004 to generate annual mortality rates/100,000, overall, by age group ( 50 years old. Conclusion: There is an increasing trend for breast cancer mortality in Iran. Thus, health education programs to rectify the lack of women awareness about breast cancer signs and effective screening are urgently needed.

147 citations

Journal ArticleDOI
TL;DR: The latest insights into the roles of angiotensin-converting enzyme II (ACE2) and Ang II receptor-1 (AT1-R) in this disease are provided and potential targeting of this pathway using JAK inhibitors (JAKinibs) is suggested as a promising approach in patients with COVID-19 who are admitted to hospitals.
Abstract: After the advent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the outbreak of coronavirus disease 2019 (COVID-19) commenced across the world. Understanding the Immunopathogenesis of COVID-19 is essential for interrupting viral infectivity and preventing aberrant immune responses before a vaccine can be developed. In this review, we provide the latest insights into the roles of angiotensin-converting enzyme II (ACE2) and Ang II receptor-1 (AT1-R) in this disease. Novel therapeutic strategies, including recombinant ACE2, ACE inhibitors, AT1-R blockers, and Ang 1-7 peptides, may prevent or reduce viruses-induced pulmonary, cardiac, and renal injuries. However, more studies are needed to clarify the efficacy of these therapeutics. Furthermore, considering the common role of the Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway in AT1-R expressed on peripheral tissues and cytokine receptors on the surface of immune cells, potential targeting of this pathway using JAK inhibitors (JAKinibs) is suggested as a promising approach in patients with COVID-19 who are admitted to hospitals. In addition to antiviral therapy, potential ACE2- and AT1-R-inhibiting strategies, and other supportive care, we suggest other potential JAKinibs and novel anti-inflammatory combination therapies that affect the JAK-STAT pathway in patients with COVID-19. Since the combination of MTX and baricitinib leads to outstanding clinical outcomes, the addition of baricitinib to MTX might be a potential strategy.

147 citations

Posted ContentDOI
16 Mar 2020-medRxiv
TL;DR: In this paper, a cross-sectional, web-based study was conducted among healthcare workers about COVID-19 during the first week of March 2020, where a 23-item survey instrument was developed and distributed randomly to HCWs using social media; it required 5 minutes to complete.
Abstract: Background During the first week of March, the surge of Coronavirus disease 2019 (COVID-19) cases has reached over 100 countries with more than 100,000 cases. Healthcare authorities already initiated awareness and preparedness activities beyond the borders. A poor understanding of the disease among healthcare workers (HCWs) may implicate in delayed treatment and the rapid spread of infection. The study aimed to investigate the knowledge and perceptions of HCWs about COVID-19. Methods A cross-sectional, web-based study was conducted among HCWs about COVID-19 during the first week of March 2020. A 23-item survey instrument was developed and distributed randomly to HCWs using social media; it required 5 minutes to complete. Chi-square test was used to investigate the level of association among variables at the significance level of p Results Of 529 participated, a total of 453 HCWs complete the survey (response rate: 85.6%); 51.6% are males, aged 25-34 years (32.1%), and most of them are doctors (30.2%) and medical students (29.6%). Regarding COVID-19, most of them used social media to obtain the information (61%), a significant proportion of HCWs had poor knowledge of its transmission (61%), and symptoms onset (63.6%) and showed a positive perception of COVID-19 prevention and control. Factors such as age and profession are associated with inadequate knowledge and poor perception of COVID-19. Conclusion As the global threat of COVID-19 continues to emerge, it is critical to improving knowledge and perceptions among HCWs. Educational interventions are urgently needed to reach HCWs beyond the borders, and further studies are warranted.

146 citations

Journal ArticleDOI
TL;DR: Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent, and different settings have different effects on different features.
Abstract: The purpose of this study was to investigate the robustness of different PET/CT image radiomic features over a wide range of different reconstruction settings Phantom and patient studies were conducted, including two PET/CT scanners Different reconstruction algorithms and parameters including number of sub-iterations, number of subsets, full width at half maximum (FWHM) of Gaussian filter, scan time per bed position and matrix size were studied Lesions were delineated and one hundred radiomic features were extracted All radiomics features were categorized based on coefficient of variation (COV) Forty seven percent features showed COV ≤ 5% and 10% of which showed COV > 20% All geometry based, 44% and 41% of intensity based and texture based features were found as robust respectively In regard to matrix size, 56% and 6% of all features were found non-robust (COV > 20%) and robust (COV ≤ 5%) respectively Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent, and different settings have different effects on different features Radiomic features with low COV can be considered as good candidates for reproducible tumour quantification in multi-center studies • PET/CT image radiomics is a quantitative approach assessing different aspects of tumour uptake • Radiomic features robustness is an important issue over different image reconstruction settings • Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent • Robust radiomic features can be considered as good candidates for tumour quantification

146 citations


Authors

Showing all 19557 results

NameH-indexPapersCitations
Paul F. Jacques11444654507
Mohammad Abdollahi90104535531
Fereidoun Azizi80127941755
Roya Kelishadi7385333681
Nima Rezaei72121526295
Neal D. Freedman6832716908
Jamie E Craig6838015956
Amir Hossein Mahvi6368615816
Adriano G. Cruz6134612832
Ali Montazeri6162517494
Parvin Mirmiran5663715420
Harry A. Lando532429432
Fatemeh Atyabi533109985
Daniel Granato532359406
Pejman Rohani5219213386
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022187
20214,346
20204,415
20193,809
20183,480