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Total thyroidectomy is safer with identification of recurrent laryngeal nerve

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2008年第6期9卷 482-488页

作者： Hakan CANBAZ Musa DIRLIK Tahsin COLAK Koray OCAL Tamer AKCA Oner BILGIN bahar tasdelen Suha AYDIN Department of General Surgery Faculty of MedicineMersin University Department of Biostatistics Faculty of MedicineMersin University

Objective:To investigate the effect of recurrent laryngeal nerve(RLN)identification on the complications after total thyroidectomy and ***:Total 134 consecutive patients undergoing total thyroidectomy or thyroid lobectomy from January 2003 to November 2004 were investigated *** were divided into two groups:RLN identified (Group A)or not(Group B).The two groups were compared for RLN injury and ***:The numbers of patients and nerves at risk were 71 and 129 in Group A,and 63 and 121 in Group B,*** injury in Group A(0)was sig- nificantly lower than that in Group B(57.9%)patients,75.8%nerves)for the numbers of patients(P=0.016)and nerves at risk (P=0.006).Temporary hypocalcaemia was significantly higher in Group A than in Group B(1424.1%vs 610.3%,P=0.049). Permanent complications in Group B were significantly higher than those in Group A(1320.6%vs 45.6%,P=0.009).Con- clusion:RLN injury was prevented and permanent complications were decreased by identifying the whole course and branches of the recurrent laryngeal nerve during total thyroidectomy.

关键词： Total thyroidectomy Lobectomy Recurrent laryngeal nerve (RLN) identification Complication

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Determining of migraine prognosis using latent growth mixture models

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Chinese Medical Journal 2011年第7期124卷 1044-1049页

作者： bahar tasdelen Aynur Ozge Hakan Kaleagasi Semra Erdogan Tufan Mengi Department of Biostatistics Mersin University Faculty of Medicine Mersin Turkey Department of Neurology Mersin University Faculty of Medicine Mersin Turkey

Background This paper presents a retrospective study to classify patients into subtypes of the treatment according to baseline and longitudinally observed values considering heterogenity in migraine prognosis. In the classical prospective clinical studies, participants are classified with respect to baseline status and followed within a certain time period. However, latent growth mixture model is the most suitable method, which considers the population heterogenity and is not affected drop-outs if they are missing at random. Hence, we planned this comprehensive study to identify prognostic factors in migraine.

关键词： classifcation longitudinal studies," migraine growth mixture models

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