Clinical trials

2

Search and review clinical trials. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Recruiting

Induction Chemo-Immunotherapy + Radiotherapy vs Concurrent Chemoradiotherapy for Unresectable Locally Advanced Esophageal Squamous Cell Carcinoma

This is a prospective, randomized, phase II clinical study in patients with unresectable stage III-IVA esophageal squamous cell carcinoma (ESCC). Eligible patients will be randomly assigned in a 1:1 ratio to two treatment groups. The experimental group will receive 3 cycles of induction therapy with PD-1 antibody plus chemotherapy, followed by radiotherapy, and then maintenance therapy with PD-1 antibody monotherapy. The control group will receive concurrent chemoradiotherapy, followed by maintenance therapy with PD-1 antibody monotherapy. The primary endpoints are the complete response (CR) rate at 3 months after radiotherapy (assessed by investigators) and the 1-year progression-free survival (PFS) rate. Secondary endpoints include overall survival (OS), progression-free survival (PFS), duration of response, objective response rate (ORR), local-regional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), quality of life, and safety profile.

Participants needed: 92
Trial details
Phase: Phase 2Age: 18-75Biological sex: AllType: InterventionalSponsor: Second Affiliated Hospital of Zunyi Medical UniversityUpdated: Apr 30, 2026Locations: 1
Eligibility criteria

Histologically or cytologically confirmed unresectable stage III-IVA esophageal... [+4]

Previous radiotherapy to the chest or previous systemic chemotherapy for ESCC [+5]

Status: Not yet recruiting

Machine Learning for Predicting and Managing Quality of Life in Lung Cancer Immunotherapy Patients

The goal of this study is to explore whether health-related quality of life (HRQoL) can be used as a predictive indicator for lung cancer patients and to implement clinical interventions. The study addresses two main objectives: Analyzing HRQoL data of lung cancer patients undergoing immunotherapy using machine learning clustering methods to explore data patterns and build an HRQoL early warning model (already developed). Validating this HRQoL early warning model in real-world settings by classifying patients with different HRQoL characteristics and assessing the clinical value of the model

Participants needed: 200
Trial details
Age: 18+Biological sex: AllType: InterventionalSponsor: Second Affiliated Hospital of Zunyi Medical UniversityUpdated: Dec 13, 2024
Eligibility criteria

Histologically diagnosed with lung cancer [+4]

Cognitive impairment or mental illness [+1]