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NCT03875729COMPLETEDanonymous

Phase 3 Randomized Double-Blind Multinational Placebo-Controlled Study to Evaluate Efficacy and Safety of Teplizumab, a Humanized Fc Receptor (FcR) Non-Binding Anti-cluster of Differentiation 3 (CD3) Monoclonal Antibody, in Children and Adolescents With Newly Diagnosed Type 1 Diabetes

Sponsor

Source record

Provention Bio, Inc.

Phase

Source record

Phase 3

Modality

AI-normalized

monoclonal antibody

Target

AI-normalized

Type 1 Diabetes Mellitus

Indication / condition

AI-normalized

Type 1 Diabetes Mellitus

Intervention

Source record

teplizumab, Placebo

Source & freshness

Source record

NCT ID

NCT03875729

Original source

ClinicalTrials.gov

Source last updated

Apr 24, 2024

Ingested at

May 31, 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

NCT03875729

Title

Phase 3 Randomized Double-Blind Multinational Placebo-Controlled Study to Evaluate Efficacy and Safety of Teplizumab, a Humanized Fc Receptor (FcR) Non-Binding Anti-cluster of Differentiation 3 (CD3) Monoclonal Antibody, in Children and Adolescents With Newly Diagnosed Type 1 Diabetes

Sponsor

Provention Bio, Inc.

Status

COMPLETED

Phase

Phase 3

Condition raw

Type 1 Diabetes Mellitus

Condition normalized

Type 1 Diabetes Mellitus

Modality raw

Type 1 Diabetes Mellitus

Modality normalized

monoclonal antibody

Target raw

Type 1 Diabetes Mellitus

Target normalized

Type 1 Diabetes Mellitus

Interventions

teplizumab, Placebo

Public preview

Source record

Provention Bio, Inc. conducted a Phase 3 trial to evaluate the efficacy and safety of teplizumab, a humanized anti-CD3 monoclonal antibody, in children and adolescents aged 8-17 with recent-onset Type 1 Diabetes (T1D). The study aimed to preserve β cell function and slow the loss of β cells over 18 months.

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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