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Assessment of Breast cancer risk factors and developing risk prediction model.

Assessment of Breast cancer risk profile and factors implicit in differential incidence rates within rural and urban populations in India by developing a machine learning-based risk prediction tool.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/09/045295
Enrollment
1500
Registered
2022-09-07
Start date
Unknown
Completion date
Unknown
Last updated
2022-10-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: C50- Malignant neoplasm of breast

Interventions

None listed

Sponsors

Indian Council of Medical Research ICMR
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Cases: a) Histopathological confirmation of breast cancer b) Primary breast cancer disease c) New registration at the study site (NCI, Jhajjar) 2. Controls: a) Screen negative on clinical breast examination b) No history of breast cancer or other malignancy

Exclusion criteria

Exclusion criteria: 1. Cases: a) Histopathological no non-confirmation of breast cancer b) Benign breast disease c) Secondary or metastatic breast cancer disease d) Non consent for participation 2. Controls: a) Non-consent for participation or undergoing confirmatory testing (suspects).

Design outcomes

Primary

MeasureTime frame
Prevalence of possible risk factors and their association with Breast cancer.Timepoint: Single—

Secondary

MeasureTime frame
Evolution of a risk calculation model based on the above risk factors using machine learning. Timepoint: 2-3 year;Rural and Urban Cohort risk monitoring and screening for Breast cancerTimepoint: 1-2 year—

Countries

India

Contacts

Public ContactDr Jitendra Kumar Meena

AIIMS, New Delhi

drmeenajk@gmail.com9899554396

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026