Understanding Lung Cancer Related Risk Factors and Their Impact

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age40-80
SponsorBiobizkaia Health Research Institute

About this trial

LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive devices and omics analysis. These models will enable new clinical pathways and diagnostic workflow to be implemented to ensure early diagnosis and confirmation, including classification of lung cancer subtype.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Subjects aged between 40 and 80 years

Both genders, of which at least 37% must be women to ensure representativeness

Willingness and ability to comply with scheduled visits, laboratory tests, and other trial procedures

Written informed consent obtained prior to performing any protocol-related procedures.

Disqualifiers

Subjects under 40 years of age

Unable to be followed-up for at least 2-years or complete the study

Subjects that do not sign the informed consent

Current or prior history of lung cancer

Trial population

Adult subjects (40 years old or higher), smokers and non-smokers, both women and men who have the capacity to comply with the study follow-up and sign the informed consent, will be recruited from "Servicio Andaluz de Salud" (SAS), "Osakidetza Servicio Vasco de Salud" (OSA), "Centre Hospitalier Universitaire de Liège" (CHUL) and "Centre for Tuberculosis and Lung Diseases (CTLD) of Riga East University Hospital (REUH)".

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

6,160 Participants
are grouped into 1 trial group
Group A: Study population

Trial outcomes

Primary outcomes

1

presence of pulmonary nodules

The main variable is the presence of pulmonary nodules identified by Low Dose Computerized Tomography (LDCT)

Time frame
2 years
2

Lung Cancer diagnosis

The main variable is the presence of Lung Cancer diagnosis identified by Low Dose Computerized Tomography (LDCT).

Time frame
2 years

Secondary outcomes

1

Age

years

Time frame
2 years
2

Gender

Male/female

Time frame
2 years
3

Ethnicity

description of the ethnia

Time frame
2 years
4

Socioeconomic factors

deprivation index

Time frame
2 years

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Biobizkaia Health Research Institute

Lead sponsor

Technion, Israel Institute of Technology

Collaborator

Centro Nacional de Análisis Genómico

Collaborator

Vicomtech

Collaborator

University of Latvia

Collaborator

Centre Hospitalier Universitaire de Liege

Collaborator

Andaluz Health Service

Collaborator

Nanose Medical Ltd.

Collaborator

This trial is not recruiting at the moment. You can still explore other options: