Explore Association Models Between Environmental Hormones andBreast Cancer

January 3, 2025 updated by: Pei-Hung Liao

Applying Machine Learning to Explore Association Models Between Environmental Hormones, Breast Cancer, and a Dietary and Health Education Improvement Program: An Investigative Study

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.

Study Overview

Status

Active, not recruiting

Conditions

Detailed Description

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.

Study Type

Observational

Enrollment (Estimated)

687

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Taiwan
    • Peitou
      • Taipei, Peitou, Taiwan, 112
        • National Taipei University of Nursing and Health Science

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-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.

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • non-patients with breast cancer

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
established an association model between environmental hormones and breast cancer
Time Frame: 2015~2024
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Pei-Hung Liao

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 20, 2023

Primary Completion (Estimated)

March 31, 2025

Study Completion (Estimated)

March 31, 2025

Study Registration Dates

First Submitted

January 3, 2025

First Submitted That Met QC Criteria

January 3, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 3, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • (956)111-35

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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