FindTrial
Sign In

A Study on Developing a Predictive Model for Perioperative Neurocognitive Dysfunction (PND) in Gastric Cancer Based on Machine Learning Algorithms

A Study on Developing a Predictive Model for Perioperative Neurocognitive Dysfunction (PND) in Gastric Cancer Based on Machine Learning Algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092629
Enrollment
Unknown
Registered
2024-11-20
Start date
2024-11-25
Completion date
Unknown
Last updated
2024-12-02

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

Conditions

Gastric cancer

Interventions

Training set:none
Test set:none

Sponsors

Jiangsu Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Patients undergoing elective surgery for gastric cancer; Aged 18-80 years old; ASA I-III; Hospitalized patients.

Exclusion criteria

Exclusion criteria: Severe visual or hearing impairment; Inability to communicate properly; Important medical records are missing > 30%; Preoperative diagnosis included patients with cognitive impairment or preoperative severe organ dysfunction (including heart failure, cardiac insufficiency, respiratory failure, renal failure, cirrhosis decompensation)

Design outcomes

Primary

MeasureTime frame
Area under the subject curve, AUC;Accuracy;—

Secondary

MeasureTime frame
sensitivity;Specificity;—

Countries

China

Contacts

Public ContactLiu Hui

Jiangsu Cancer Hospital

huilium@163.com+86 138 1304 3213

Outcome results

None listed

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