You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Erectile dysfunction as a cardiovascular risk factor in patients with diabetes. Erectile dysfunction (ED) is a highly prevalent disorder among patients with diabetes mellitus (DM). In most cases, ED is considered a vascular disease and its development is significantly related to the exposure to CVD risk factors. In this context, ED and coronary artery disease (CAD) have been proposed as different manifestations of the same systemic disease; in nondiabetic patients, ED has progressively emerged as an important sentinel marker of the subsequent onset of CVD events. The aim of this review was to evaluate the association between ED and CAD in diabetic patients and to evaluate the role of ED as an independent CVD risk factor in these patients. Three large prospective studies confirmed that ED is a powerful predictor of CAD and cardiac mortality in patients with DM. Overall, diabetic patients with ED had roughly 1.4-fold higher risk of CAD as compared with those without ED. Interestingly, in diabetic patients, CAD is often silent and CAD screening according to the current guidelines can miss up to 40 % patients with occult myocardial perfusion abnormalities. Indeed, patients with ED have higher risk of silent myocardial ischemia compared to those without ED, and when ED is added to the risk factors, it can even improve the sensitivity of screening for asymptomatic CAD. Therefore, ED should be considered an independent CVD risk factor, and it could improve the identification of diabetic patients suitable for screening, leading to an early detection of CAD, and thus potentially enhancing the therapeutic effectiveness.
{"Chemical": []}