Long-Terms Responders in Metastatic Lung Cancer: Better Understanding for Better Management (Lungevity Study)
Long-Terms Responders in Metastatic Lung Cancer: Better Understanding for Better Management (LUNGEVITY STUDY)
GFPC Investigation
1,000 participants
Jul 2, 2025
OBSERVATIONAL
Conditions
Summary
The goal of this observational study is to identify and describe the clinical characteristics, health status, socio-economic impacts and quality of life of patients alive for three years after diagnosis of metastatic Lung cancer and no longer receiving cytotoxic chemotherapy. The main question is to identify the needs of these patients in terms of health status (impact of cancer treatments, incidence of new diseases, cardiovascular, diabetes, second cancers), socio-economic aspects, quality of life and return to employment. Participants will be asked to answer quality of life questionnaires at the time of inclusion and 6 and 12 months after inclusion and then, every year up to 5 years in this study. They will be followed regularly, in consultations, according to the usual practices of the physicians in each participating center.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
The HAD scale is an instrument used to screen for anxiety and depressive disorders. It comprises 14 items rated from 0 to 3. Seven questions relate to anxiety (total A) and seven others to depression (total D), giving two scores (maximum score for each = 21).
The EORTC QLQ-LC13: a 13-item lung cancer-specific questionnaire module supplement to the EORTC core quality of life questionnaire (QLQ-C30) for use in lung cancer clinical trials. The QLQ-LC13 includes questions assessing lung cancer-associated symptoms (cough, haemoptysis, dyspnoea and site specific pain), treatment-related side effects (sore mouth, dysphagia, peripheral neuropathy and alopecia) and pain medication.
Data analysis will be firstly descriptive in order to report on the quality of life of respondents. Then, in a second stage, the factors associated with quality of life will be analyzed using linear or logistic regression models depending on the nature of the variable of interest.
Locations(46)
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NCT07243132