Erectile Dysfunction and Cardiovascular Disease Risk: An Updated 2024 Systematic Review Meta-Analysis of Prospective Studies
Borges, J. Y. V.
Show abstract
Background and ObjectiveVascular Erectile dysfunction (ED) is considered a sentinel marker for underlying cardiovascular and metabolic disorders. This systematic review and meta-analysis aim to quantify the predictive value of ED for cardiometabolic vascular diseases (CVD) in young adults as well as aging males and to explore the temporal relationship between ED onset and the development of these diseases. MethodsA comprehensive search of databases including PubMed, EMBASE, and Cochrane Library was conducted to identify relevant studies. Inclusion criteria were studies assessing the association between ED and CVD, with effect sizes reported as odds ratios (ORs) or hazard ratios (HRs). Data were extracted and pooled using random-effects meta-analysis. Sensitivity analyses, including leave-one-out analysis, and Eggers test for publication bias, were performed. Key Findings and LimitationsO_LIThe pooled analysis of 39 studies revealed a significant association between ED and CVD with an OR of 1.42 (95% CI: 1.28-1.57). C_LIO_LIThe temporal relationship indicates that ED precedes the onset of CVD by approximately 2 to 5 years. C_LIO_LIEndothelial dysfunction, a common pathway in ED and CVD, was highlighted through biomarkers such as flow-mediated dilation (FMD), nitric oxide (NO) levels, and C-reactive protein (CRP). C_LIO_LILimitations include heterogeneity among study designs and the potential for residual confounding. C_LI Conclusions and Clinical ImplicationsED is a robust predictive biomarker for CVD in aging males, with significant implications for early detection and preventive strategies. Clinicians should consider cardiovascular risk assessment in patients presenting with ED to facilitate timely intervention and improve long-term outcomes.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Exploring the Association Between Urinary Incontinence and Depression Based on a Series of Large-Scale National Health Studies in Turkiye 92%
- Proton pump inhibitors use and risk of preeclampsia 91%
- Five-year Efficacy and Safety of TiNO-Coated Stents Versus Drug-Eluting Stents in Acute Coronary Syndrome. A meta-analysis. 91%
Similar papers in this journal
- Original Research; Quality Assessment And Comparative Analysis On The Recommendations Of Current Guidelines On Screening And Diagnosis Of Peripheral Arterial Disease; A Systematic Review 92%
- Efficacy and safety of GLP-1 receptor agonists versus SGLT-2 inhibitors in overweight/obese patients with or without diabetes mellitus: a systematic review and network meta-analysis 92%
- Face-to-face interventions to encourage enrolment in cardiac rehabilitation; a scoping review protocol 92%
Similar papers in this journal
- Effects of High Intensity Interval Exercise on Cerebrovascular Function: A Systematic Review 94%
- The association of cardiovascular disease and other pre-existing comorbidities with COVID-19 mortality: A systematic review and meta-analysis 93%
- Effectiveness of aerobic physical exercise on depression symptoms in adults: A protocol for a systematic review and meta-analysis of randomized clinical trials 93%
Similar papers in this journal
- Walking pace optimizes conventional cardiovascular disease risk prediction models among vulnerable subpopulations: a prospective cohort study 93%
- Social Networks and Cardiovascular Disease Events in the Jackson Heart Study 92%
- Prevalence of and risk factors for peripheral artery disease in rural South Africa: A cross-sectional analysis of the HAALSI cohort 92%
Similar papers in this journal
- Looking for crumbs in the obesity forest: anti-obesity interventions in the Mexican population. History, and systematic review with Meta-Analysis 93%
- Mortality and Severity in COVID-19 Patients on ACEIs & ARBs - A Meta-Regression Analysis 92%
- COVID-19 clinical characteristics, and sex-specific risk of mortality: Systematic Review and Meta-analysis 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.