Diabetic polyneuropathy (DPN) is one of the most common and debilitating complications of diabetes mellitus. It is significantly associated with all-cause and cardiovascular mortality, and cardiovascular disease events, even after adjusting for cardiovascular disease risk factors and diabetes status 1 . DPN affects the peripheral nervous system, and can lead to dysfunctions in sensory, motor and autonomic nervous systems. Diagnosis of DPN is based on a combination of symptoms, ankle reflex and vibrational sensation 2 . However, this diagnostic procedure is time-consuming, and can only be carried out after DPN has progressed to the middle stage. Although the nerve conduction velocity test is the gold standard for evaluating DPN, it does not show a decline in the early stage of DPN. Early and accurate diagnosis of DPN is crucial for preventing further complications and enabling timely intervention. Furthermore, there is a need for an objective numerical value to evaluate the early stages of DPN. As small nerve fibers are affected in the early stage of DPN, validated measurement of small fiber neuropathy is necessary. Advancements have been made in diagnostic methods for early-stage DPN, enhancing our ability to effectively detect and manage this condition (Figure 1).