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NCT04338529COMPLETEDanonymous

Alendronate in an Weekly Effervescent Tablet Formulation for Preservation of Bone Mass After Denosumab Discontinuation in Postmenopausal Women with Low Bone Mass. an Observational Study (Binosto After Denosumab - the BAD Study)

Sponsor

Source record

251 Hellenic Air Force & VA General Hospital

Phase

Source record

Observational

Modality

AI-normalized

monoclonal antibody

Target

AI-normalized

Postmenopausal Osteoporosis

Indication / condition

AI-normalized

Postmenopausal Osteoporosis

Intervention

Source record

Binosto 70Mg Effervescent Tablet

Source & freshness

Source record

NCT ID

NCT04338529

Original source

ClinicalTrials.gov

Source last updated

Dec 02, 2024

Ingested at

May 30, 2026

Internal sync

Jun 05, 2026

Model version

trialsignal-ai-v1

Normalized confidence

88%

Validation status

validated

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View original source fields

NCT ID

NCT04338529

Title

Alendronate in an Weekly Effervescent Tablet Formulation for Preservation of Bone Mass After Denosumab Discontinuation in Postmenopausal Women with Low Bone Mass. an Observational Study (Binosto After Denosumab - the BAD Study)

Sponsor

251 Hellenic Air Force & VA General Hospital

Status

COMPLETED

Phase

Observational

Condition raw

Postmenopausal Osteoporosis

Condition normalized

Postmenopausal Osteoporosis

Modality raw

Postmenopausal Osteoporosis

Modality normalized

monoclonal antibody

Target raw

Postmenopausal Osteoporosis

Target normalized

Postmenopausal Osteoporosis

Interventions

Binosto 70Mg Effervescent Tablet

Public preview

Source record

This study investigates the efficacy of transitioning from denosumab to oral alendronate in a weekly effervescent tablet formulation for preserving bone mineral density (BMD) in postmenopausal women with low bone mass. The study aims to provide insights into optimal treatment duration and management strategies following denosumab discontinuation.

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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