NCT06765395

Brief Summary

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.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
687

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Mar 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 20, 2023

Completed
1.8 years until next milestone

First Submitted

Initial submission to the registry

January 3, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

January 9, 2025

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 31, 2025

Completed
Last Updated

January 9, 2025

Status Verified

January 1, 2025

Enrollment Period

2 years

First QC Date

January 3, 2025

Last Update Submit

January 3, 2025

Conditions

Breast DiseasesBreast Adenocarcinoma

Keywords

Machine learning; association model; environmental hormones; breast cancer

Outcome Measures

Primary Outcomes (1)

  • established an association model between environmental hormones and breast cancer

    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.

    2015~2024

Eligibility Criteria

Age20 Years+
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This study recruited research subjects from an outpatient clinic and ward of the Department of General Surgery of the Cheng Hsing General Hospital.

You may qualify if:

  • (1) patients aged 20 years or above; (2) patients with breast cancer.

You may not qualify if:

  • non-patients with breast cancer

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Taipei university of Nursing and health science

Taipei, Peitou, 112, Taiwan

Location

Related Publications (1)

  • 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.

    PMID: 41103105DERIVED

MeSH Terms

Conditions

Breast DiseasesBreast Neoplasms

Condition Hierarchy (Ancestors)

Skin DiseasesSkin and Connective Tissue DiseasesNeoplasms by SiteNeoplasms

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Associate professor

Study Record Dates

First Submitted

January 3, 2025

First Posted

January 9, 2025

Study Start

March 20, 2023

Primary Completion

March 31, 2025

Study Completion

March 31, 2025

Last Updated

January 9, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

Locations

TW(1)