External validation is a prerequisite in order for a prediction model to be introduced into clinical practice. Nonetheless, methodologically intact external validation studies are a scarce finding. Utilization of big datasets can help overcome several causes of methodological failure.
View Article and Find Full Text PDFWe report a case of isolated immune thrombocytopenic purpura (ITP) as a result of babesiosis infection. The patient initially presented with a history, physical exam and laboratory findings consistent with idiopathic thrombocytopenic purpura. She was treated with standard of care therapy without clinical response.
View Article and Find Full Text PDFBackground: Current risk assessment models (RAMs) for prediction of venous thromboembolism (VTE) risk in the outpatient cancer population have shown poor predictive value in many of the most common cancers. The Comparison of Methods for Thromboembolic Risk Assessment with Clinical Perceptions and AwareneSS in Real Life Patients-Cancer Associated Thrombosis (COMPASS-CAT) RAM was derived in this patient population and predicted patients at high risk for VTE even after initiation of chemotherapy. We sought to externally validate this RAM.
View Article and Find Full Text PDFPremise Of The Study: Microsatellite markers were developed and characterized to assess the genetic diversity among mango (Mangifera indica) cultivars and to test their amplification in closely related species.
Methods And Results: Thirty-six microsatellite (simple sequence repeats; SSR) loci were isolated by a microsatellite-enriched partial genomic library method. Primers designed for these loci were characterized using 30 diverse mango cultivars.
Internal breakdown in mango fruits has become a major concern in recent years. This disorder renders the fruits unfit for human consumption. The overall loss due to this disorder is about 35-55%.
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