Ignite Creation Date:
2025-12-24 @ 1:58 PM
Ignite Modification Date:
2026-01-01 @ 12:36 AM
Study NCT ID:
NCT06765395
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2025-01-09
First Post:
2025-01-03
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Explore Association Models Between Environmental Hormones andBreast Cancer
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D001941', 'term': 'Breast Diseases'}, {'id': 'D001943', 'term': 'Breast Neoplasms'}], 'ancestors': [{'id': 'D012871', 'term': 'Skin Diseases'}, {'id': 'D017437', 'term': 'Skin and Connective Tissue Diseases'}, {'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009369', 'term': 'Neoplasms'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'RETROSPECTIVE', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 687}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'ACTIVE_NOT_RECRUITING', 'startDateStruct': {'date': '2023-03-20', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-01', 'completionDateStruct': {'date': '2025-03-31', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-01-03', 'studyFirstSubmitDate': '2025-01-03', 'studyFirstSubmitQcDate': '2025-01-03', 'lastUpdatePostDateStruct': {'date': '2025-01-09', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2025-01-09', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2025-03-31', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'established an association model between environmental hormones and breast cancer', 'timeFrame': '2015~2024', 'description': 'The basic personal information of the participants included gender, age, height, weight, past disease history, family history, reproductive history, postoperative medication, chemotherapy type, breast cancer pathology type, stage, etc.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Machine learning; association model; environmental hormones; breast cancer'], 'conditions': ['Breast Diseases', 'Breast Adenocarcinoma']}, 'referencesModule': {'references': [{'pmid': '41103105', 'type': 'DERIVED', 'citation': 'Chang CY, Su CH, Chang CH, Ho CS, Liao PH. Applying machine learning to explore association models between environmental hormones, breast cancer, and a dietary and health education improvement program: an investigative study. Int J Environ Health Res. 2025 Oct 16:1-10. doi: 10.1080/09603123.2025.2576144. Online ahead of print.'}]}, 'descriptionModule': {'briefSummary': 'investigated the association model between environmental hormone-related living habits and breast cancer, as well as dietary improvement programs through machine learning and clinical validation of patients with breast cancer.', 'detailedDescription': 'Female breast cancer is the second most common cancer worldwide and the age at diagnosis is decreasing. Traditional risk factor screening for breast cancer focuses on reproductive history, family history, age at menarche, and age at menopause; however, young patients diagnosed with breast cancer who do not meet the above risk factors are becoming common.This study established an association model between environmental hormones and breast cancer through machine learning to improve dietary programs to reduce the incidence of breast cancer.'}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '20 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'This study recruited research subjects from an outpatient clinic and ward of the Department of General Surgery of the Cheng Hsing General Hospital.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* (1) patients aged 20 years or above; (2) patients with breast cancer.\n\nExclusion Criteria:\n\n* non-patients with breast cancer'}, 'identificationModule': {'nctId': 'NCT06765395', 'briefTitle': 'Explore Association Models Between Environmental Hormones andBreast Cancer', 'organization': {'class': 'OTHER', 'fullName': 'National Taipei University of Nursing and Health Sciences'}, 'officialTitle': 'Applying Machine Learning to Explore Association Models Between Environmental Hormones, Breast Cancer, and a Dietary and Health Education Improvement Program: An Investigative Study', 'orgStudyIdInfo': {'id': '(956)111-35'}}, 'contactsLocationsModule': {'locations': [{'zip': '112', 'city': 'Taipei', 'state': 'Peitou', 'country': 'Taiwan', 'facility': 'National Taipei university of Nursing and health science', 'geoPoint': {'lat': 25.05306, 'lon': 121.52639}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Pei-Hung Liao', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR_INVESTIGATOR', 'investigatorTitle': 'Associate professor', 'investigatorFullName': 'Pei-Hung Liao', 'investigatorAffiliation': 'National Taipei University of Nursing and Health Sciences'}}}}