The Identification of Prediabetes Condition with ARIC Algorithm Predicts Long-Term CV Events in Patients with Erectile Dysfunction

Journal of Sexual Medicine

Volumn 10, Issue 4, 2013, Pages 1114-1123

  Corona, Giovanni ^a,b   Rastrelli, Giulia ^a   Silverii, Antonio ^a   Monami, Matteo ^a   Sforza, Alessandra ^b   Forti, Gianni ^a   Mannucci, Edoardo ^a   Maggi, Mario ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b BELLARIA HOSPITAL   (Italy)

Author keywords

Cardiovascular Risk; Diabetes; Erectile Dysfunction

Indexed keywords

PROLACTIN; TESTOSTERONE;

ADULT; ALCOHOL CONSUMPTION; ARTICLE; ATHEROSCLEROSIS RISK IN COMMUNITIES ALGORITHM; CARDIOMETABOLIC RISK; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CHRONIC KIDNEY DISEASE; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; COMPARATIVE STUDY; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; DISEASE ASSOCIATION; ERECTILE DYSFUNCTION; HIGH RISK PATIENT; HUMAN; HYPOGONADISM; IMPAIRED GLUCOSE TOLERANCE; LIFESTYLE; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; OUTPATIENT CARE; PENILE BLOOD FLOW; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROLACTIN BLOOD LEVEL; RETROSPECTIVE STUDY; SEXUAL INTERCOURSE; SEXUALITY; SMOKING; TESTOSTERONE BLOOD LEVEL;

EID: 84875642982     PISSN: 17436095     EISSN: 17436109     Source Type: Journal    
DOI: 10.1111/jsm.12066     Document Type: Article

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