In medicine and statistics, a gold standard test is usually the diagnostic test or benchmark that is the best available under reasonable conditions. In other words, a gold standard is the most accurate test possible without restrictions. The meanings may differ in the two fields, because in medicine with some conditions only an autopsy guarantees diagnostic certainty, thus the gold standard test would be the best one that keeps the patient alive instead of the autopsy. "Gold standard" can refer to the criteria by which scientific evidence is evaluated. For example, in resuscitation research, the "gold standard" test of a medication or procedure is whether or not it leads to an increase in the number of neurologically intact survivors that walk out of the hospital. Other types of medical research might regard a significant decrease in 30-day mortality as the gold standard. The AMA Style Guide has preferred the phrase Criterion Standard instead of "gold standard." Other journals have also issued mandates in their instructions for contributors. For instance, Archives of biological Medicine and Rehabilitation specifies this usage. When the criterion is a whole clinical testing procedure it is usually referred to as clinical case definition. In practice however, the uptake of this term by authors, as well as enforcement by editorial staff, is notably poor, at least for AMA journals. A hypothetical ideal "gold standard" test has a sensitivity of 100% with respect to the presence of the disease (it identifies all individuals with a well defined disease process; it does not have any false-negative results) and a specificity of 100% (it does not falsely identify someone with a condition that does not have the condition; it does not have any false-positive results). In practice, there are sometimes no true gold standard tests. As new diagnostic methods become available, the "gold standard" test may change over time. For instance, for the diagnosis of aortic dissection, the gold standard test used to be the aortogram, which had a sensitivity as low as 83% and a specificity as low as 87%.

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