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Öğe The effect of fundus resection on weight loss and ghrelin levels in rats(Comenius Univ, 2016) Okus, A.; Sevinc, B.; Karahan, O.; Ay, S.; Civcik, S.BACKGROUND: Ghrelin is a 28-amino acid peptide that is isolated mainly from the oxyntic glands of the stomach, especially fundus. Ghrelin administration, either centrally or peripherally, increases food intake and body weight in both rodents and humans. This study evaluates the effects of fundus resection and sclerosing agent injection on ghrelin level and weight loss. MATERIAL AND METHODS: Thirty rats were divided into three groups. In group 1, NaCl was injected into the submucosal space at the gastric fundus while in Group 2, a sclerosing agent was injected into the latter site. In group 3, gastric fundus was resected. Ghrelin levels and weight were recorded. RESULTS: In group 1, rats continued gaining weight and ghrelin levels stayed stable. In group 2, rats' weight and ghrelin levels stayed stable and in group 3, while weight stayed stable, ghrelin levels decreased significantly. CONCLUSION: In rats, the resection of fundus stabilizes weight gain and decreases ghrelin levels. However, in sclerotherapy, although weight gain was stabilized, there was no decrease in ghrelin levels. In humans, the effect of fundus resection on weight gain can usher in a new era of investigation (Tab. 2, Ref. 16). Text in PDF www.elis.sk.Öğe A prospectively validated nomogram for predicting the risk of chemotherapy-induced febrile neutropenia: a multicenter study(Springer, 2015) Bozcuk, H.; Yildiz, M.; Artac, M.; Kocer, M.; Kaya, C.; Ulukal, E.; Ay, S.There is clinical need to predict risk of febrile neutropenia before a specific cycle of chemotherapy in cancer patients. Data on 3882 chemotherapy cycles in 1089 consecutive patients with lung, breast, and colon cancer from four teaching hospitals were used to construct a predictive model for febrile neutropenia. A final nomogram derived from the multivariate predictive model was prospectively confirmed in a second cohort of 960 consecutive cases and 1444 cycles. The following factors were used to construct the nomogram: previous history of febrile neutropenia, pre-cycle lymphocyte count, type of cancer, cycle of current chemotherapy, and patient age. The predictive model had a concordance index of 0.95 (95 % confidence interval (CI) = 0.91-0.99) in the derivation cohort and 0.85 (95 % CI = 0.80-0.91) in the external validation cohort. A threshold of 15 % for the risk of febrile neutropenia in the derivation cohort was associated with a sensitivity of 0.76 and specificity of 0.98. These figures were 1.00 and 0.49 in the validation cohort if a risk threshold of 50 % was chosen. This nomogram is helpful in the prediction of febrile neutropenia after chemotherapy in patients with lung, breast, and colon cancer. Usage of this nomogram may help decrease the morbidity and mortality associated with febrile neutropenia and deserves further validation.