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Survival machine learning model of T1 colorectal postoperative recurrence after endoscopic resection and surgical operation:a retrospective cohort study

Survival machine learning model of T1 colorectal postoperative recurrence after endoscopic resection and surgical operation:a retrospective cohort study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400088385
Enrollment
Unknown
Registered
2024-08-16
Start date
2024-08-17
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

colorectal cancer

Interventions

Endoscopic treatment group:None
Surgical group:None

Sponsors

Affiliated Tumor Hospital of Xinjiang Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1)Histopathological diagnosis confirmed as pT1 colorectal cancer; (2) the first primary tumor (3) Patients undergoing endoscopic treatment or radical surgery

Exclusion criteria

Exclusion criteria: (1) Patients with inflammatory bowel disease and familial adenomatous polyposis; (2) Patients who were downgraded to T1 after adjuvant chemoradiotherapy.

Design outcomes

Primary

MeasureTime frame
carcino-embryonic antigen;Carbohydrate antigen199;Tumor budding;Lymphovascular invasion;Perineural invasion;Circumferential resection margin;Depth of invasion;—

Countries

China

Contacts

Public ContactYingbin Cai

Affiliated Tumor Hospital of Xinjiang Medical University

42912844@qq.com+86 177 0991 5876

Outcome results

None listed

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