Jove
Visualize
Contact Us

Related Concept Videos

Disorders of the Male Reproductive System01:20

Disorders of the Male Reproductive System

596
Men's health issues are increasingly recognized as significant, with several conditions posing common threats. Among these, testicular cancer is especially prevalent in younger men, particularly those aged 20 to 35 years. The disease often manifests as a painless mass in the testicles, sometimes accompanied by a sensation of heaviness or a dull ache.
Prostate disorders are another major concern. These conditions can impair urinary flow due to the prostate's location around the urethra....
596

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Endothelial activation and stress index is independently associated with arteriogenic erectile dysfunction: a cross-sectional study.

Sexual medicine·2026
Same author

Chronic stress drives oligoasthenozoospermia via gut microbiota-vitamin-Sting1/Slc9c2 axis.

Nature communications·2026
Same author

Quality and readability of online penile-cancer information: a Cross-Sectional Web Study.

International journal of impotence research·2026
Same author

Altered Glutamate and Gamma-Aminobutyric Acid Metabolism in the Thalamus and Prefrontal Cortex of Patients with Lifelong Premature Ejaculation.

The world journal of men's health·2026
Same author

Lower eGFR Associated With Decreased Total Testosterone in Males: Integrated Evidence From Cohorts to Real-World Data.

Andrology·2026
Same author

Chronotype is associated with acquired premature ejaculation: evidence from moderated mediation analysis.

The journal of sexual medicine·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Sep 17, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.3K

Development and Validation of a Dynamic Online Nomogram Prediction Model for Assessing the Risk of Erectile

Guodong Liu1,2,3, Yuyang Zhang1,2,3, Xu Wu1,2,3

  • 1Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

The World Journal of Men'S Health
|June 29, 2025
PubMed
Summary

A new dynamic nomogram predicts erectile dysfunction (ED) risk using factors like age and diabetes. This tool aids early intervention and personalized management for men

Keywords:
Erectile dysfunctionNomogramsNutrition surveysPredictive learning models

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K

Related Experiment Videos

Last Updated: Sep 17, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.3K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K

Area of Science:

  • Men's Health
  • Urology
  • Predictive Modeling

Background:

  • Erectile dysfunction (ED) is a widespread health issue affecting men globally.
  • Multiple factors contribute to the development of ED.

Purpose of the Study:

  • To develop a dynamic nomogram model for assessing ED probability.
  • To integrate various risk factors for personalized ED risk evaluation.

Main Methods:

  • Utilized data from 2,668 subjects in the National Health and Nutrition Examination Survey.
  • Employed Least Absolute Shrinkage and Selection Operator and logistic regression for predictor identification.
  • Validated the model using Concordance Index, calibration curves, and decision curve analysis.

Main Results:

  • A nomogram model with 9 predictors (age, education, stroke, lymphocyte, diabetes, poverty income ratio, prostate disease, activity, hypertension) was developed.
  • The model demonstrated good clinical applicability with C-indexes of 0.828 (training) and 0.825 (validation).
  • An accessible online dynamic nomogram was created for public use.

Conclusions:

  • The dynamic nomogram offers a personalized and clinically predictive tool for ED risk assessment.
  • It facilitates early intervention and proactive management strategies for ED.
  • Aids physicians in identifying high-risk individuals and tailoring treatment plans.