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NCT03811509UNKNOWNanonymous

Study for Improving Life Quality in Breast Cancer Women Treated With Aromatase Inhibitors: Cohort B-ABLE

Sponsor

Source record

Parc de Salut Mar

Phase

Source record

PHASE4

Modality

AI-normalized

small molecule

Target

AI-normalized

bisphosphonate

Indication / condition

AI-normalized

Osteoporosis

Intervention

Source record

bisphosphonate

Source & freshness

Source record

NCT ID

NCT03811509

Original source

ClinicalTrials.gov

Source last updated

Jan 28, 2019

Ingested at

Jun 19, 2026

Internal sync

Jun 19, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT03811509

Title

Study for Improving Life Quality in Breast Cancer Women Treated With Aromatase Inhibitors: Cohort B-ABLE

Sponsor

Parc de Salut Mar

Status

UNKNOWN

Phase

PHASE4

Condition raw

Osteoporosis, Osteoporosis Fracture, Arthralgia Generalized

Condition normalized

Osteoporosis, Osteoporosis Fracture, Arthralgia Generalized

Modality raw

small molecule

Modality normalized

small molecule

Target raw

bisphosphonate

Target normalized

bisphosphonate

Interventions

bisphosphonate

Public preview

Source record

The main objective of the study is to improve the life quality of women treated with AI. Cohort B-ABLE is designed to evaluate musculoskeletal events derived of using AI in breast cancer women. The project objectives are the analysis of the AI deleterious effect on bone microarchitecture and early determination of the risk of fragility fracture with dual energy x-ray absorptiometry (DEXA), lumbar spine Rx, Trabecular Bone Score (TBS) and microindentation. Determination of physiological causes of the AI-related arthralgia by analyzing joint degradation markers, steroid hormone levels remaining in blood and functional magnetic resonance, before and after three months of AI treatment

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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