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A study on the establishment of a prediction model of perioperative neurocognitive dysfunction (PND) in colorectal cancer based on machine learning algorithm

A study on the establishment of a prediction model of perioperative neurocognitive dysfunction (PND) in colorectal cancer based on machine learning algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107434
Enrollment
Unknown
Registered
2025-08-12
Start date
2025-08-31
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

perioperative neurocognitive dysfunction (PND) in colorectal 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: 1. Patients who intend to undergo elective radical colorectal cancer resection; 2. Age 18~80 years old; 3. ASA grade I.-III.; 4. Hospitalized patients.

Exclusion criteria

Exclusion criteria: 1. Severe visual or hearing impairment; 2. Inability to communicate normally; 3. Important medical records are missing more than 30%; 4. Preoperative diagnosis includes cognitive dysfunction or severe organ dysfunction (including heart failure, cardiac insufficiency, respiratory failure, renal failure, and liver cirrhosis decompensation)

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Secondary

MeasureTime frame
sensitivity;Specificity;—

Countries

China

Contacts

Public ContactMa Lili

Jiangsu Cancer Hospital

110532938@qq.com+86 173 9795 3026

Outcome results

None listed

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