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NCT04241380UNKNOWNanonymous

Anticoagulation Medicine in Surgical Repair for Total Anomalous Pulmonary Venous Connection: a Randomize Multi-centers Study

Sponsor

Source record

Guangdong Provincial People's Hospital

Phase

Source record

NA

Modality

AI-normalized

small molecule

Target

AI-normalized

Anticoagulant Solutions, No anticoagulant solutions, Anticoagulant management

Indication / condition

AI-normalized

Total Anomalous Pulmonary Venous Connection

Intervention

Source record

Anticoagulant Solutions, No anticoagulant solutions, Anticoagulant management

Source & freshness

Source record

NCT ID

NCT04241380

Original source

ClinicalTrials.gov

Source last updated

Feb 19, 2020

Ingested at

Jun 11, 2026

Internal sync

Jun 11, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT04241380

Title

Anticoagulation Medicine in Surgical Repair for Total Anomalous Pulmonary Venous Connection: a Randomize Multi-centers Study

Sponsor

Guangdong Provincial People's Hospital

Status

UNKNOWN

Phase

NA

Condition raw

Total Anomalous Pulmonary Venous Connection

Condition normalized

Total Anomalous Pulmonary Venous Connection

Modality raw

small molecule

Modality normalized

small molecule

Target raw

Anticoagulant Solutions, No anticoagulant solutions, Anticoagulant management

Target normalized

Anticoagulant Solutions, No anticoagulant solutions, Anticoagulant management

Interventions

Anticoagulant Solutions, No anticoagulant solutions, Anticoagulant management

Public preview

Source record

Total anomalous pulmonary venous connection (TAPVC) is a complex congenital heart disease, requiring surgical repair. Pulmonary venous obstruction (PVO) is the major complication, with limited effective reinterventions and poor outcomes. This trial aims at investigating that postoperative anticoagulant management reduce the incidence of PVO.

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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