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Constructing an artificial intelligence system to analyze the treatment mode and long-term prognosis of elderly esophageal cancer

Constructing an artificial intelligence system to analyze the treatment mode and long-term prognosis of elderly esophageal cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400081083
Enrollment
Unknown
Registered
2024-02-22
Start date
2024-02-26
Completion date
Unknown
Last updated
2024-02-26

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

Conditions

Esophageal cancer

Interventions

Observation group:None

Sponsors

Shaanxi Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to 85 Years

Inclusion criteria

Inclusion criteria: elderly(>60 years) patients diagnosed pathologically with Squamous cell esophageal cancer underwent esophagectomy between January 2018 and December 2023.

Exclusion criteria

Exclusion criteria: 1) individuals whose examined and positive regional lymph nodes performed during the initial work-up or first course of therapy are unidentified or absent;2) patients who did not undergo esophagectomy as part of the course of treatment; 3) patients with uncertain or missing tumor size data.

Design outcomes

Primary

MeasureTime frame
Overall survival time;

Secondary

MeasureTime frame
Cancer-specific Survival;Postoperative mortality;The incidence of anastomotic leakage;The incidence of chylothorax;

Countries

China

Contacts

Public ContactBin Hou

Department of Thoracic Surgery, Shaanxi Provincial People's Hospital

Fordreamwl@163.com+86 137 2073 0890

Outcome results

None listed

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