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NCT04241211UNKNOWNanonymous

Comparative Study for Incidence of Proximal Junctional Kyphosis Between Parathyroid Hormone and Denosumab Following Adult Spinal Deformity Surgery : A Prospective, Randomized Controlled Trial

Sponsor

Source record

Seoul National University Bundang Hospital

Phase

Source record

Phase 4

Modality

AI-normalized

monoclonal antibody

Target

AI-normalized

Proximal Junctional Kyphosis (PJK)

Indication / condition

AI-normalized

Spine Deformity

Intervention

Source record

Forsteo, Denosumab Prefilled Syringe [Prolia]

Source & freshness

Source record

NCT ID

NCT04241211

Original source

ClinicalTrials.gov

Source last updated

Jan 27, 2020

Ingested at

May 23, 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

NCT04241211

Title

Comparative Study for Incidence of Proximal Junctional Kyphosis Between Parathyroid Hormone and Denosumab Following Adult Spinal Deformity Surgery : A Prospective, Randomized Controlled Trial

Sponsor

Seoul National University Bundang Hospital

Status

UNKNOWN

Phase

Phase 4

Condition raw

Spine Deformity

Condition normalized

Spine Deformity

Modality raw

Spine Deformity

Modality normalized

monoclonal antibody

Target raw

Proximal Junctional Kyphosis (PJK)

Target normalized

Proximal Junctional Kyphosis (PJK)

Interventions

Forsteo, Denosumab Prefilled Syringe [Prolia]

Public preview

Source record

This clinical trial investigates the efficacy of Teriparatide (Forsteo) compared to Denosumab (Prolia) in reducing the incidence of Proximal Junctional Kyphosis (PJK) following Adult Spinal Deformity (ASD) surgery. The study is being conducted at Seoul National University Bundang Hospital and aims to provide insights into effective medical therapies for PJK prevention.

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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