Lynn Lawrence A
The Sleep and Breathing Research Institute, 1275 Olentangy RR, Columbus, Ohio 43212, USA.
Patient Saf Surg. 2014 May 7;8:21. doi: 10.1186/1754-9493-8-21. eCollection 2014.
Decades of large, apparently well-designed clinical trials have failed to generate reproducible results in the investigation of many complex rapidly evolving and changing conditions such as sepsis. One possibility for the failure is that 20th century threshold science may be too simplistic to apply to complex rapidly changing conditions, especially those with unknown times of onset. There is an acute need to reconsider the fundamental validity of the application of simple threshold science in the study of complex rapidly evolving and changing conditions. In this letter, four potential axioms are presented which define a new science which assesses the probability of disease as a function of motion images of all the available clinical data.
几十年来,在对许多复杂、快速演变和变化的病症(如败血症)进行调查时,大规模、看似精心设计的临床试验未能产生可重复的结果。失败的一种可能性是,20世纪的阈值科学可能过于简单,不适用于复杂、快速变化的病症,尤其是那些发病时间未知的病症。迫切需要重新考虑在复杂、快速演变和变化的病症研究中应用简单阈值科学的基本有效性。在这封信中,提出了四个潜在的公理,它们定义了一门新科学,该科学将疾病概率评估为所有可用临床数据动态影像的函数。