Skip to content

Construction and validation of a lung infection risk prediction model for gastric cancer chemotherapy patients based on machine learningConstruction and validation of a lung infection risk prediction model for gastric cancer chemotherapy patients based on machine learning

Construction and validation of a lung infection risk prediction model for gastric cancer chemotherapy patients based on machine learningConstruction and validation of a lung infection risk prediction model for gastric cancer chemotherapy patients based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600118408
Enrollment
Unknown
Registered
2026-02-05
Start date
2025-01-03
Completion date
Unknown
Last updated
2026-02-09

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

Conditions

Gastric cancer

Interventions

Model Construction Group:None

Sponsors

The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. Pathological diagnosis of gastric malignant tumor, with TNM stage = stage II, and no restrictions on pathological type; 3. Chemotherapy cycle >= 2; 4. Normal cognition and self-care ability, without mental disorders or communication disorders.

Exclusion criteria

Exclusion criteria: 1. Pulmonary infection or other infectious complications occurred before chemotherapy; 2. Patients with multiple organ failure, immunodeficiency diseases and hematological disorders; 3. Incomplete clinical data.

Design outcomes

Primary

MeasureTime frame
The chemotherapy cycles during which lung infections occur;Pulmonary infection;The discrimination ability of the model;The calibration accuracy of the model;The clinical practicability of the model;

Secondary

MeasureTime frame
body temperature;White blood cell count;Chest imaging;

Countries

China

Contacts

Public ContactBizhen Chen

The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine

573073198@qq.com+86 137 0504 9127

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 15, 2026