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Deep learning-based integration of PNI and SII to construct a prognostic model for elderly lung cancer patients

Deep learning-based integration of PNI and SII to construct a prognostic model for elderly lung cancer patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092193
Enrollment
Unknown
Registered
2024-11-12
Start date
2024-12-01
Completion date
Unknown
Last updated
2024-11-18

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

Conditions

Lung Cancer

Interventions

Case series:None

Sponsors

China-Japan Friendship Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to No maximum

Inclusion criteria

Inclusion criteria: 1: Postoperative pathological diagnosis of lung cancer 2: Accept surgical resection treatment 3: Age greater than or equal to 65 years old 4: Having complete follow-up data

Exclusion criteria

Exclusion criteria: 1: Presence of other serious diseases affecting prognosis 2: Seriously missing data

Design outcomes

Primary

MeasureTime frame
Death;—

Countries

China

Contacts

Public ContactDi Li

China-Japan Friendship Hospital

lidi@zryhyy.com.cn+86 156 0056 9703

Outcome results

None listed

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