Recent evidence indicates that miR-17-92 family might be an essential prognostic biomarker for human cancers. However, results are still inconsistent. We therefore performed a meta-analysis to evaluate the predictive role of miR-17-92 family in human cancer prognosis. We searched literatures published before March 31th, 2017 inPubMed, Cochrane and Embase databases. Twenty six studies were inclu...

PURPOSE To perform a meta-analysis to evaluate the diagnostic performance of ultrasonography (US) and computed tomography (CT) for the diagnosis of appendicitis in pediatric and adult populations. MATERIALS AND METHODS Medical literature (from 1986 to 2004) was searched for articles on studies that used US, CT, or both as diagnostic tests for appendicitis in children (26 studies, 9356 patient...

From about the mid-1980' s to the mid-1990' s there was a flurry of research activity in the area of database triggers and constraints, seeing the development of numerous research proposals and prototypes. Soon thereafter, most mainstream database products ramped up their support for constraints and triggers, with expressive constraint specifications appearing in the SQL-92 standard, and both c...

miR-17-92 cluster is identified as a potential oncogenic miRNA. The aim of this study was to investigate the association of polymorphisms in the promoter region of miR-17-92 cluster with the risk of colorectal cancer (CRC). Three polymorphisms (i.e., rs9588884, rs982873 and rs1813389) in the promoter of miR-17-92 were analyzed among 874 cases and 1132 controls using a TaqMan allelic discriminat...

Two field experiments were carried out in Agricultural Research and Experimental Station, Faculty of Agriculture, Cairo University, Giza, Egypt (2019 2020) to study the response Egyptian cotton cultivars (Giza 92, Giza 94 95) growth, yield fiber properties foliar zinc (Zn) rates (0, 100 200 ppm) nitrogen (N) fertilizers sources; urea (U), ammonium nitrate (AN) sulfate (AS).  Cultivars, N source...

Under 5 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 4.9 5 to 9 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 5.1 10 to 14 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 5.9 15 to 19 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 8.4 20 to 24 years . . . . . . . . . . . . . . . . . . . . . ....

Erratum After publication of the original article [1], it came to the publisher’s attention that figure 2, associated with the Authors Response, had been accidently omitted. The original article has been corrected to include this figure. A citation to the figure has been inserted in the following sentence, “...our revised estimates yielded an overall sensitivity of 92 % (95 % CI 90 %-94 %) and ...

Abstract Introduction Atrial fibrillation (AF) is the most common sustained arrhythmia and an important risk factor for stroke heart. Recent technology advances have allowed heart rhythm monitoring using smart gadgets/wearable devices which can be used early AF diagnosis. Hypothesis We performed a systemic review meta-analysis to assess accuracy of diagnosis by devices. Methods systematically s...