Institution
Shahid Beheshti University of Medical Sciences and Health Services
Education•Tehran, 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 published on a yearly basis
Papers
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TL;DR: It appears that bla(TEM-1), blA(SHV-5), bla-5, bla (SHV)-11, blA-12, and bla-(CTX-M-15) are the dominant ESBLs among the resistant strains of K. pneumoniae in Iran.
Abstract: Extended-spectrum beta-lactamase (ESBL)-producing isolates of Klebsiella pneumoniae have been increasingly recognized in the hospital settings in Iran as well as throughout the world. The aim of this study was to detect and determine the genes encoding the ESBLs including bla(TEM), bla(SHV), and bla(CTX-M) groups among the K. pneumoniae isolates at Labbafinejad Hospital by polymerase chain reaction (PCR) and characterize them by direct sequencing of PCR products. Eighty-nine isolates were isolated from patients at different wards during March 2008-March 2009. They were identified as K. pneumoniae using biochemical tests. Susceptibility of isolates to 17 different antimicrobial agents was determined using agar disk diffusion method. The phenotypic confirmatory test was used to screen the isolates for production of ESBLs. To amplify the bla(SHV) the template DNA was extracted by boiling method. Plasmid DNA was extracted using minipreparation kit and used as template in PCR for detection of bla(TEM) and bla(CTX-M). The selected PCR products were sequenced and analyzed. All 89 strains were susceptible to imipenem. The rates of resistance to different antibiotics were in the following order: aztronam (79.7%), cefexime (67.4%), cefpodoxime (66.2%), cefotaxime (65.1%), ceftazidime (61.7%). The phenotypic confirmatory test detected 62 isolates (69.7%) as ESBL-producing K. pneumoniae. The prevalence of genes encoding ESBLs were as follows: bla(TEM) 54% (n = 48), bla(SHV) 67.4% (n = 60), bla(CTX-M-I) 46.51% (n = 40), and bla(CTX-M-III) 29% (n = 25). The bla(CTX-M-II) and bla(CTX-M-IV) were not detected. All bla(TEM) types were characterized as bla(TEM-1) and all bla(CTX-M-I) were identified as bla(CTX-M-15). The SHV types were characterized as SHV-5, SHV-11, and SHV-12. The rate of ESBL at Labbafinejad Hospital was 25% increase in a 4-year study that ended in March 2009. It appears that bla(TEM-1), bla(SHV-5), bla(SHV-11), bla(SHV-12), and bla(CTX-M-15) are the dominant ESBLs among the resistant strains of K. pneumoniae in Iran.
131 citations
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TL;DR: By evaluating mental workload, the traffic control center director can organize the center's traffic congestion operators to sustain the appropriate mental workload and improve traffic control management.
131 citations
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University Health System1, United Hospital2, Homi Bhabha National Institute3, Padjadjaran University4, Mahosot Hospital5, University of Health Science6, Kathmandu Medical College7, Aga Khan University8, Shahid Beheshti University of Medical Sciences and Health Services9, International Islamic University Malaysia10, Khon Kaen University11, The Chinese University of Hong Kong12, King Saud bin Abdulaziz University for Health Sciences13, Asan Medical Center14, Chang Gung University15
TL;DR: Assessment of the number of adult critical care beds in Asian countries and regions in relation to population size found critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle–income and high-income countries and region.
Abstract: Objective To assess the number of adult critical care beds in Asian countries and regions in relation to population size. Design Cross-sectional observational study. Setting Twenty-three Asian countries and regions, covering 92.1% of the continent's population. Participants Ten low-income and lower-middle-income economies, five upper-middle-income economies, and eight high-income economies according to the World Bank classification. Interventions Data closest to 2017 on critical care beds, including ICU and intermediate care unit beds, were obtained through multiple means, including government sources, national critical care societies, colleges, or registries, personal contacts, and extrapolation of data. Measurements and main results Cumulatively, there were 3.6 critical care beds per 100,000 population. The median number of critical care beds per 100,000 population per country and region was significantly lower in low- and lower-middle-income economies (2.3; interquartile range, 1.4-2.7) than in upper-middle-income economies (4.6; interquartile range, 3.5-15.9) and high-income economies (12.3; interquartile range, 8.1-20.8) (p = 0.001), with a large variation even across countries and regions of the same World Bank income classification. This number was independently predicted by the World Bank income classification on multivariable analysis, and significantly correlated with the number of acute hospital beds per 100,000 population (r = 0.19; p = 0.047), the universal health coverage service coverage index (r = 0.35; p = 0.003), and the Human Development Index (r = 0.40; p = 0.001) on univariable analysis. Conclusions Critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle-income and high-income countries and regions.
130 citations
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TL;DR: Genetic and epigenetic phenomena that can be suggested as biomarkers in colorectal cancer are discussed.
Abstract: Colorectal Cancer (CRC) is the third most common cancer in men and the second most common cancer in women worldwide. Both genetic and epigenetic alterations are common in CRC and are the driving force of tumorigenesis. Chromosomal instability, microsatellite instability and CpG island methylator phenotype pathways are responsible for genetic instability in colorectal cancer. Chromosomal instability pathway consists of activation of proto-oncogenes and inactivation of tumor suppression genes and Loss of Heterozogosity (LOH). In this review, we discuss genetic and epigenetic phenomena that can be suggested as biomarkers in colorectal cancer
130 citations
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TL;DR: It could be concluded that neither being on oral bisphosphonate treatment before implant placement nor starting bisph phosphonate therapy after implant installation might jeopardize the successful osseointegration and clinical and radiographic condition of the implants.
Abstract: Background: Although the effect of bisphosphonates on dental implant osseointegration is not clear, dental implant failures attributable to oral bisphosphonate therapy have been reported in patients with osteoporosis.
Purpose: The aim of this study was to evaluate implant survival in patients with a history of bisphosphonate therapy in a retrospective survey.
Materials and Methods: A total of 46 ITI implants placed in 21 osteoporotic patients (females; average age 53 years, range 42–79 years) were evaluated with regard to probing depth, mobility, thread exposure, and bleeding on probing. All patients were under oral bisphosphonate therapy.
Results: None of implants showed mobility and all patients could be considered free from peri-implantitis. Time of bisphosphonate therapy before and after implant insertion showed no statistically significant influence on PD, BOP, and TE. Likewise, implant location, prosthetic type, and opposing dentition had no statistically significant influence on the clinical and radiological parameters of implants.
Conclusion: Within the limitations of this study, it could be concluded that neither being on oral bisphosphonate treatment before implant placement nor starting bisphosphonate therapy after implant installation might jeopardize the successful osseointegration and clinical and radiographic condition of the implants.
130 citations
Authors
Showing all 19557 results
Name | H-index | Papers | Citations |
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Paul F. Jacques | 114 | 446 | 54507 |
Mohammad Abdollahi | 90 | 1045 | 35531 |
Fereidoun Azizi | 80 | 1279 | 41755 |
Roya Kelishadi | 73 | 853 | 33681 |
Nima Rezaei | 72 | 1215 | 26295 |
Neal D. Freedman | 68 | 327 | 16908 |
Jamie E Craig | 68 | 380 | 15956 |
Amir Hossein Mahvi | 63 | 686 | 15816 |
Adriano G. Cruz | 61 | 346 | 12832 |
Ali Montazeri | 61 | 625 | 17494 |
Parvin Mirmiran | 56 | 637 | 15420 |
Harry A. Lando | 53 | 242 | 9432 |
Fatemeh Atyabi | 53 | 310 | 9985 |
Daniel Granato | 53 | 235 | 9406 |
Pejman Rohani | 52 | 192 | 13386 |