Annals of Saudi medicine
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Annals of Saudi medicine · Nov 2019
O6-methylguanine-DNA methyltransferase promoter methylation and isocitrate dehydrogenase mutation as prognostic factors in a cohort of Saudi patients with glioblastoma.
Treatment of glioblastoma (GB), the most common malignant primary brain tumor in adults, can include alkylating chemo-therapeutic agents. Two molecular biomarkers of treatment response are MGMT (O6-methylguanine-DNA methyltransferase) promoter methylation and IDH (isocitrate dehydrogenase) mutations, which prevent repair of tumor cell DNA damage caused by alkylating chemotherapy. The status of MGMT promoter methylation and IDH mutation are associated with longer survival and a better response to chemotherapy. ⋯ None.
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Annals of Saudi medicine · Nov 2019
Prevalence of MEFV gene mutations in a large cohort of patients with suspected familial Mediterranean fever in Central Anatolia.
Familial Mediterranean fever (FMF), an autosomal recessive, autoinflammatory disease that is common in Arabs, Jews, Armenians and Turks, is caused by mutations in the MEFV gene, which encodes a protein called pyrin. The disease is characterised by recurrent fever, peritonitis, pleuritis, abdominal pain and arthralgia. ⋯ None.
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Annals of Saudi medicine · Nov 2019
Outcomes of surgical repair of complete atrioventricular canal defect in patients younger than 2 years of age.
Early surgical management of complete atrioventricular (AV) canal defect is the optimal treatment option. Since the published evidence on outcomes is inconclusive, we retrospectively studied the outcomes of patients in our institution. ⋯ None.
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Annals of Saudi medicine · Nov 2019
Domestic violence and decision-making power of married women in Myanmar: analysis of a nationally representative sample.
Women in Myanmar are not considered decision makers in the community and the physical and psychological effect of violence makes them more vulnerable. There is a strong negative reaction, usually violent, to any economic activity generated by women among poorer and middle-class families in Myanmar because a woman's income is not considered necessary for basic survival. ⋯ None.
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Annals of Saudi medicine · Nov 2019
Prediction of hospital no-show appointments through artificial intelligence algorithms.
No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremendous impact, improving efficiency, reducing costs and improving patient outcomes. Strategies involving machine learning and artificial intelligence could provide a solution. ⋯ None.