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Prediction Model for Cardiovascular Toxicity in Cancer Patients Based on Multimodal Machine Learning: Construction of a Cardio-Oncology Cohort

Prediction Model for Cardiovascular Toxicity in Cancer Patients Based on Multimodal Machine Learning: Construction of a Cardio-Oncology Cohort

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500103350
Enrollment
Unknown
Registered
2025-05-28
Start date
2025-06-01
Completion date
Unknown
Last updated
2025-06-02

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

Conditions

Cardiac toxicity due to cancer therapy

Interventions

exposure group:None
Prospective control group:none
Prospective experimental group:None

Sponsors

Dongguan People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Inclusion criteria for retrospective studies: a) Patients who visited our hospital between 2013 and 2025; b) Patients with a clear diagnosis of cancer; c) Cases whose diagnosis results were determined by clear histopathological examination; 2.Prospective study inclusion criteria: a) age = 18 years old and = 90 years old; b) patients with a definite diagnosis of cancer; c) cases confirmed by histopathological examination; d) patients receiving cancer treatment;

Exclusion criteria

Exclusion criteria: 1.Exclusion criteria for retrospective studies: Missing follow-up data; 2.Prospective study exclusion criteria: a) patients with syncope, dizziness, or pathological hypotension; b) patients with mental illness or cognitive impairment.

Design outcomes

Primary

MeasureTime frame
Patients with cancer experienced CV toxic events from the start of their first oncology treatment;

Countries

China

Contacts

Public ContactYanhua Yang

Dongguan People's Hospital

16613362@qq.com+86 769 2863 6877

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026