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Active clinical trials for "Carcinoma, Non-Small-Cell Lung"

Results 4691-4700 of 5094

Emulation of the KEYNOTE-189 Trial Using Electronic Health Records

Non-small Cell Lung CancerMetastatic Lung Cancer

Investigators are building an empirical evidence base supporting the utility of real-world data through the emulation of randomized controlled trials in the oncology setting. The purpose of this work is to demonstrate whether real-world evidence studies can provide reliable conclusions on treatment effectiveness to inform further applications of real-world data in pharmaceutical product label expansion, post-marketing safety, and other purposes that are complementary to RCTs.

Completed10 enrollment criteria

RELEVANCE - RWE Study in Unresectable Non-Small Cell Lung Cancer (Stage III) in Canada

Non-small Cell Lung Cancer

In the RELEVANCE study, we will develop a scalable electronic medical report data capture platform to collect and analyse real-world data in the stage III NSCLC population in Canada across several Canadian cancer centres. Subsequent analyses will examine treatment patterns and clinical outcomes, including overall survival, for these patients, stratified by durvalumab regimen or non-durvalumab regimen during the time of the PACIFIC Patient Support Program.

Completed4 enrollment criteria

National Comprehensive Cancer Network (NCCN) Decision Support Tool for Patients With NSCLC

Non-small Cell Lung Cancer

This study involves the evaluation of a decision support tool, based on the patient version of the NCCN guidelines, for the non-small cell lung cancer patient population.

Completed8 enrollment criteria

Prediction of Immunotherapeutic Effect of Advanced Non-small Cell Lung Cancer

NSCLC Patients

To detect the difference of PD-L1 and miRNA expression profiles of exosomes in NSCLC patients before and after immunotherapy, and to explore the potential of plasma exosomes PD-L1 and miRNAs as biomarkers to predict the therapeutic effect of NSCLC on anti-PD-1 / PD-L1.

Unknown status29 enrollment criteria

Retrospective Epidemiological Study of Locally Advanced Non Small Cell Lung Cancer Patients in Brazil...

Lung CancerNon-small Cell

• To describe patients outcomes in terms of overall survival (OS) in locally advanced NSCLC in Brazil

Completed9 enrollment criteria

Is Video-assisted Thoracoscopic Lobectomy a Clinical Alternative for Surgically Resectable Pathologic...

Non-small Cell Lung Cancer

The study was designed to compare the safety and effectiveness of vedio-assisted thoracoscopic lobectomy with open lobectomy for patients with surgically resectable pathologic N2 non-small cell lung cancer

Completed8 enrollment criteria

Brain Metabolic Network of PET in Patients With Advanced Non-Small Cell Lung Cancer

Advanced Non-small-cell Lung Cancer

This study is a retrospective study, screening patients with systemic PET / CT scan in our department, enrolling the ones who meet the criteria, collect their information and resting state brain PET images.Then make the brain metabolic network analysis and statistical analysis to explore the PET brain metabolic network of non-small cell lung cancer patients and the effect of chemotherapy drugs on brain metabolic network in patients with advanced lung cancer.

Completed2 enrollment criteria

Outcomes With Immune Checkpoint Inhibitor for Patients With Non-Small-Cell Lung Cancer and Stable...

Non Small Cell Lung Cancer

Non-small cell lung cancer patients may have brain metastases at diagnosis. Patients with brain metastasis may contribute as poor prognosis factors. This trial aims to explore the efficacy and the safety of immune checkpoint inhibitors in non small cell lung cancer patients with initial brain metastasis.

Completed2 enrollment criteria

Consistency of PD-L1 Detecting Method Between E1L3N and 22C3 Monoclonal Antibodies in NSCLC Patients...

Non Small Cell Lung Cancer

Evaluated the correlation between the qualitative test results of Xiamen Aide PD-L1 antibody reagent (immunohistochemistry) and the efficacy of Keytruda single-agent therapy, and the research data is used to support the registration and marketing of the assessment reagent

Completed5 enrollment criteria

A Non Interventional Pilot Study on Machine Learning for ILD Detection Based on the Patient Data...

CarcinomaNon-Small-Cell Lung

Objective in this study is to investigate feasibility of developing machine-learning based model for the identification of future development of diagnosed Grade 2 and higher ILD and of disease progression in patients with unresectable Stage III NSCLC receiving durvalumab

Completed9 enrollment criteria
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