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排序方式: 共有10000条查询结果,搜索用时 31 毫秒
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M. H. F. Poorthuis R. Bulbulia D. R. Morris H. Pan P. M. Rothwell A. Algra J.-P. Becquemin L. H. Bonati T. G. Brott M. M. Brown D. Calvet H.-H. Eckstein G. Fraedrich J. Gregson J. P. Greving J. Hendrikse G. Howard O. Jansen J.-L. Mas S. C. Lewis G. J. de Borst A. Halliday the Carotid Stenosis Trialists' Collaboration 《The British journal of surgery》2020,107(6):662-668
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Bellamy SL;NIMH Multisite HIV/STD Prevention Trial for African American Couples Study Group 《Contemporary clinical trials》2005,26(4):469-479
We present an algorithm for randomizing units in blocks for controlled trials when the composition of blocking factors is not known in advance. For example, suppose the desired goal of an intervention study is to randomize units to one of two interventions while blocking on a dichotomous factor (e.g., gender), but the total number of units, and therefore number or composition, of males and females among those units assembled for randomization cannot be determined in advance. This situation arises in randomized trials when subjects are scheduled to be randomized as a group, but not all of the subjects show up for the visit. Since investigators do not know which of the scheduled subjects will or will not show up, a dynamic randomization scheme is required to accommodate the unknown composition of the blocking factor once a group of subjects (units) is assembled for randomization. These settings are further complicated when there is more than one blocking factor. In this paper, we present an algorithm that ensures the integrity of the randomization process in these settings. 相似文献
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Alexander J. W. Beulens Hanae F. Namba Willem M. Brinkman Richard P. Meijer Evert L. Koldewijn Ad J. M. Hendrikx Jean‐Paul van Basten Jeroen J. G. van Merriënboer Henk G. Van der Poel Chris Bangma Cordula Wagner 《The international journal of medical robotics + computer assisted surgery : MRCAS》2020,16(2)
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Dan Bieler Thomas Paffrath Annelie Schmidt Maximilian Vollmecke Rolf Lefering Martin Kull Erwin Kollig Axel Franke Sektion NIS of the German Trauma Society 《中华创伤杂志(英文版)》2020,23(4):224-232
Purpose: The mortality rate for severely injured patients with the injury severity score (ISS) 16 has decreased in Germany. There is robust evidence that mortality is influenced not only by the acute trauma itself but also by physical health, age and sex. The aim of this study was to identify other possible influences on the mortality of severely injured patients.
Methods: In a matched-pair analysis of data from Trauma Register DGU®, non-surviving patients from Germany between 2009 and 2014 with an ISS 16 were compared with surviving matching partners. Matching was performed on the basis of age, sex, physical health, injury pattern, trauma mechanism,
conscious state at the scene of the accident based on the Glasgow coma scale, and the presence of shock on arrival at the emergency room.
Results: We matched two homogeneous groups, each of which consisted of 657 patients (535 male, average age 37 years). There was no significant difference in the vital parameters at the scene of the accident, the length of the pre-hospital phase, the type of transport (ground or air), pre-hospital fluid management and amounts, ISS, initial care level, the length of the emergency room stay, the care received at night or from on-call personnel during the weekend, the use of abdominal sonographic imaging, the type of X-ray imaging used, and the percentage of patients who developed sepsis. We found a significant difference in the new injury severity score, the frequency of multi-organ failure, hemoglobine at admission, base excess and international normalized ratio in the emergency room, the type of accident (fall or road traffic accident), the pre-hospital intubation rate, reanimation, in-hospital fluid management, the frequency of transfusion, tomography (whole-body computed tomography), and the necessity of emergency intervention.
Conclusion: Previously postulated factors such as the level of care and the length of the emergency room stay did not appear to have a significant influence in this study. Further studies should be conducted to analyse the identified factors with a view to optimising the treatment of severely injured patients. Our study shows that there are significant factors that can predict or influence the mortality of severely
injured patients. 相似文献