[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"pulmonary-diseases\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:pulmonary-diseases":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,47,81,107],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":29,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100053993","well-being-program-for-caregivers-of-patients-with-advanced-cardiac-and-pulmonary-disease-100053993",false,"NCT07685912","Well-being Program for Caregivers of Patients With Advanced Cardiac and Pulmonary Disease","Enhancing Caregiver Wellbeing: The Role of Exercise, Nutrition, and Stress Management for Caregivers of Patients With Advanced Cardiac and Pulmonary Disease","INCLUSION CRITERIA (CAREGIVERS):\n\n* Informal (unpaid) caregivers aged 18 years or older\n* Identified as the primary caregiver of a patient with advanced cardiac or pulmonary disease receiving outpatient palliative care at Toronto General Hospital\n* Ability to provide informed consent\n\nEXCLUSION CRITERIA (CAREGIVERS):\n\n* Presence of any medical condition where moderate physical activity or exercise training would be contraindicated (e.g., unstable cardiovascular disease, recent injury)\n* Significant cognitive impairment or language barrier that would interfere with completing study procedures\n* Lack of access to a phone or internet connection to enable virtual participation\n\nINCLUSION CRITERIA (Patients):\n\n* Aged 18 years or older\n* Diagnosis of advanced cardiac or pulmonary disease and currently receiving outpatient palliative care at Toronto General Hospital\n* Ability to provide informed consent\n\nEXCLUSION CRITERIA (Patients):\n\n* Significant cognitive impairment or language barrier that would interfere with completing study procedures\n* Medical instability that would preclude participation in an interview or completion of questionnaires, as determined by the clinical team\n* Lack of access to a phone or internet connection to enable virtual participation","ALL","18 Years",{"count":19,"type":20},80,"ESTIMATED","INTERVENTIONAL",[23],"NA","Caregivers provide essential support for people living with advanced heart or lung disease, including daily tasks, emotional support, and help with medical care. Although their role is vital, caregivers often experience high levels of stress, fatigue, and challenges with their own health and well-being. This study will test whether it is possible and practical to offer an 8-week wellness program for caregivers that is delivered virtually in their homes. The program includes personalized strategies for physical activity or exercise, healthy eating, and stress management. It will be tailored to the individual needs and schedules of caregivers and supported by regular virtual check-ins with health professionals. We will evaluate whether caregivers find the program acceptable, safe, and feasible to follow. This includes looking at how many caregivers agree to participate, how many complete the program, whether they can follow the activities, and whether they are satisfied with the experience. The study will also explore whether participating in the program may lead to improvements in caregiver quality of life, stress, and confidence in the caregiving role.",[26,27,28],"Caregiver","Cardiac Disease","Pulmonary Diseases",[30,31,32,33],"Exercise","Nutrition","Stress management","Well-being","NOT_YET_RECRUITING","2026-07-09",{"date":37,"type":38},"2026-07-13","ACTUAL",{"date":40,"type":20},"2026-07-15",{"date":42,"type":20},"2028-03-30",{"name":44,"class":45},"University Health Network, Toronto","OTHER",1,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":55,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":56,"targetDuration":58,"studyType":59,"phases":4,"briefSummary":60,"conditions":61,"keywords":64,"overallStatus":70,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":46},"100637610","prospective-multicenter-screening-for-thoracic-disease-via-radiography-100637610","NCT07585214","Prospective Multicenter Screening for Thoracic Disease Via Radiography","Thoracic Disease Screening Via Radiography: a Prospective Multicenter Study","PROMPT","Inclusion Criteria:\n\n* Age over 18.\n* Ability to understand and willingness to sign a written informed consent form.\n* Individuals presenting for routine health examinations or community-based screening.\n\nExclusion Criteria:\n\n* Women who are pregnant, lactating, or planning to become pregnant during the study period.\n* Physical limitations preventing stable positioning or breath-holding, or presence of metallic implants that may significantly degrade image quality.\n* Known history of advanced thoracic diseases currently under treatment (e.g., active lung cancer, end-stage pulmonary fibrosis, or congestive heart failure).\n* Individuals who have undergone chest CT or X-ray examinations within the past 3 months.",true,{"count":57,"type":20},300000,"5 Years","OBSERVATIONAL","This multicenter, prospective study aims to evaluate the real-world clinical utility of chest X-ray (CXR) for large-scale thoracic disease screening. Adult participants presenting for health examinations will undergo digital CXR screening, and any suspected abnormalities will be confirmed via a gold standard reference, such as a chest CT scan or clinical follow-up. The primary outcome measure is the detection rate (screening yield) of confirmed thoracic conditions. Secondary measures will assess diagnostic accuracy (sensitivity and specificity), false-positive rates, and multi-center reading consistency. By providing prospective, large-cohort evidence, this research seeks to validate the cost-effectiveness and feasibility of CXR in identifying early-stage lung, pleural, and cardiac abnormalities, ultimately guiding public health strategies and optimizing early medical intervention.",[28,62,63],"Respiratory Disease","Esophageal Diseases",[53,65,66,67,68,69],"Thoracic","Screen","Radiography","Multicenter","Prospective","RECRUITING","2026-05-09",{"date":73,"type":38},"2026-05-13",{"date":75,"type":20},"2026-05-01",{"date":77,"type":20},"2029-12-31",{"name":79,"class":80},"Chinese Academy of Sciences","OTHER_GOV",{"id":82,"slug":83,"hasResults":11,"nctId":84,"briefTitle":85,"officialTitle":85,"acronym":86,"eligibilityCriteria":87,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":88,"targetDuration":4,"studyType":21,"phases":90,"briefSummary":91,"conditions":92,"keywords":94,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":98,"lastUpdatePostDateStruct":99,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":4},"100621874","use-of-anti-cd146-autoantibodies-for-the-diagnosis-of-pulmonary-diseases-secondary-to-occupational-exposure-to-silica-100621874","NCT07376291","Use of Anti-CD146 Autoantibodies for the Diagnosis of Pulmonary Diseases Secondary to Occupational Exposure to Silica","CD146-SILICE","Inclusion Criteria for non-exposed group:\n\n* Subject, male or female, aged 18 or over\n* Subject with low exposure to silica \\\u003C0.1 mg\u002Fm3 in the course of their professional activity, quantified during an occupational health consultation using an employment-exposure matrix\n* Subjects capable of consenting to participate in the study by signing a written informed consent form\n* Subjects who are beneficiaries of or affiliated with a social security system\n\nInclusion Criteria for exposed group:\n\n* Subject, male or female, aged 18 or over\n* Subject with moderate or high exposure to silica (\\>= 0.1 mg\u002Fm3) in the course of their professional activity, quantified during an occupational health consultation using an employment-exposure matrix.\n* Subjects capable of consenting to participate in the study by signing a written informed consent form\n* Subjects who are beneficiaries of or affiliated with a social security system\n\nExclusion Criteria for each group:\n\n* Minor subject\n* Subject refusing to undergo the examinations required by the protocol\n* Contraindications to respiratory function tests: Recent eye or throat surgery, recent myocardial infarction or pulmonary embolism, poorly controlled high blood pressure, recent pneumothorax.\n* Pregnant or breastfeeding women, patients under guardianship or curatorship, deprived of liberty",{"count":89,"type":20},110,[23],"This prospective, multicenter study aims to evaluate the relevance of anti-CD146 autoantibodies (AACD146) as biological markers for the early diagnosis of pulmonary diseases related to occupational exposure to silica. Silica exposure is a recognized risk factor for fibrotic, inflammatory, and cancerous respiratory diseases. Currently, no specific biological marker exists. The hypothesis is that AACD146 reflects early effects of silica exposure. The study will include 110 participants divided into two groups (exposed vs. non-exposed) and will compare AACD146 prevalence according to exposure level and the presence of respiratory diseases.",[93,28],"Exposure Occupational",[95,96,97],"silica","Exposure occupational","Pulmonary diseases","2026-01-29",{"date":100,"type":38},"2026-02-02",{"date":102,"type":20},"2026-06",{"date":104,"type":20},"2028-06",{"name":106,"class":45},"Assistance Publique Hopitaux De Marseille",{"id":108,"slug":109,"hasResults":11,"nctId":110,"briefTitle":111,"officialTitle":111,"acronym":4,"eligibilityCriteria":112,"healthyVolunteers":55,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":113,"targetDuration":4,"studyType":59,"phases":4,"briefSummary":115,"conditions":116,"keywords":119,"overallStatus":70,"whyStopped":4,"lastUpdateSubmitDate":121,"lastUpdatePostDateStruct":122,"startDateStruct":124,"completionDateStruct":126,"leadSponsor":128,"locationsCount":5},"100504406","assisting-pulmonary-disease-diagnosis-with-ophthalmic-artificial-intelligence-technology-100504406","NCT05847894","Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology","Inclusion Criteria:\n\n* Those aged ≥18 years; or those aged \\\u003C18 years who can cooperate with the relevant examination and are accompanied and informed by a guardian;\n* People with respiratory-related diseases who were to undergo pulmonary examination, or those who volunteered to participate in the trial through publicity recruitment;\n* expected survival time of 3 months or more;\n* Those with no previous serious underlying disease and no history of serious eye disease;\n* Those who can cooperate with ophthalmologic and pulmonary-related examinations and have regular follow-up examinations;\n* Those who gave informed consent to the study prior to the trial and voluntarily signed the informed consent form;\n* Other conditions that can be included in the study as judged by the investigator.\n\nExclusion Criteria:\n\n* Patients who are unable to complete ophthalmology or pulmonary-related examinations and regular follow-ups due to serious diseases, trauma or surgery (serious ophthalmology diseases such as extremely poor vision that cannot be fixed, ocular atrophy, severe refractive interstitial clouding that prevents fundus photography, etc.);\n* People with poor compliance due to various reasons such as alcohol or drug dependence, or mental disorders;\n* Those without informed consent;\n* Other conditions judged by the investigator to be unsuitable for participation in the trial.",{"count":114,"type":20},10000,"This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial intelligence technology to explore whether new methods can be provided for early screening strategies for pulmonary disease with the aid of ophthalmologic examination, and thus assist in identifying the types of pulmonary disease and determining disease prognosis.",[28,117,118],"Ophthalmological Diagnostic Techniques","Artificial Intelligence",[28,117,120],"Artificial intelligence","2025-05-19",{"date":123,"type":38},"2025-05-23",{"date":125,"type":38},"2020-06-29",{"date":127,"type":20},"2026-05",{"name":129,"class":45},"Zhongshan Ophthalmic Center, Sun Yat-sen University"]