Skip to content

Construction of a Clinical Prediction Model for Cardiotoxicity in Breast Cancer Chemotherapy and Targeted Therapy Based on Machine Learning

Construction of a Clinical Prediction Model for Cardiotoxicity in Breast Cancer Chemotherapy and Targeted Therapy Based on Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123172
Enrollment
Unknown
Registered
2026-04-22
Start date
2026-05-10
Completion date
Unknown
Last updated
2026-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

cardiotoxicity

Interventions

Cardiotoxicity group:No intervention
Non-cardiotoxicity group:No intervention

Sponsors

The Fifth Affiliated Hospital of Zhengzhou University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Breast cancer was confirmed by pathological examination and clinical imaging studies. 2. Patients were diagnosed with stage I-III breast cancer according to the American Joint Committee on Cancer (AJCC) staging criteria.

Exclusion criteria

Exclusion criteria: 1. History of other malignancies; 2. Prior history of chest radiotherapy; 3. Prior exposure to anthracyclines or other neoadjuvant therapies, or life expectancy less than 12 months; 4. Participation in oncological clinical trials; 5. Past medical history: cardiac adverse events of grade 3 or higher; 6. Pregnancy and/or lactation; 7. History of arrhythmia.

Design outcomes

Primary

MeasureTime frame
Cancer therapy-related cardiac dysfunction (CTRCD);

Secondary

MeasureTime frame
ECG examination;Left Ventricular Ejection Fraction;Biological markers (cTnI/cTnT, BNP, CK-MB,), etc.;Clinical heart failure event;

Countries

China

Contacts

Public ContactYu Hui

The Fifth Affiliated Hospital of Zhengzhou University

14637662@qq.com+86 371 66916140

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026