Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D011655', 'term': 'Pulmonary Embolism'}], 'ancestors': [{'id': 'D008171', 'term': 'Lung Diseases'}, {'id': 'D012140', 'term': 'Respiratory Tract Diseases'}, {'id': 'D004617', 'term': 'Embolism'}, {'id': 'D016769', 'term': 'Embolism and Thrombosis'}, {'id': 'D014652', 'term': 'Vascular Diseases'}, {'id': 'D002318', 'term': 'Cardiovascular Diseases'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 4000}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'RECRUITING', 'startDateStruct': {'date': '2023-02-01', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2023-01', 'completionDateStruct': {'date': '2025-10-30', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2023-02-01', 'studyFirstSubmitDate': '2023-01-09', 'studyFirstSubmitQcDate': '2023-02-01', 'lastUpdatePostDateStruct': {'date': '2023-02-10', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2023-02-10', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2025-01-01', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'All-cause mortality', 'timeFrame': 'through study completion, an average of 1 year', 'description': 'all-cause mortality 30 days after diagnosis of acute symptomatic PE.'}]}, 'oversightModule': {'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Pulmonary Embolism', 'Prognosis assessment model'], 'conditions': ['Pulmonary Embolism']}, 'descriptionModule': {'briefSummary': 'The purpose of this study is to prospectively validate the first PUMCH model for acute PE severity and prognosis prediction based on multi-center data constructed in the pre-project period based on national population data, and to optimize the PUMCH model based on artificial intelligence clustering algorithm.', 'detailedDescription': 'Patients with pulmonary embolism and aged 18 years or older were enrolled in this study.Patient demographic characteristics(age, sex, department, diagnosis), basic vital signs, symptoms at their admissions (hemoptysis, dyspnea, chest pain, syncope, laboratory examinations (blood lab routines, blood gas, liver and kidney function, myocardial marker), and imaging examinations (vascular ultrasonography, computed tomographic angiography, echocardiography, chest CT,CTPA, pulmonary perfusion imaging, pulmonary angiography, PET/CT) were prospectively collected. Patients were followed up every 1/3/6 months to obtain survival outcomes.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Inpatients with acute PTE diagnosed by imaging (CTPA, enhanced CT, V/Q imaging suggesting a high probability of PE, pulmonary angiography, MRPA).', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* age ≥ 18 years\n* Inpatients with acute PTE diagnosed by imaging (CTPA, enhanced CT, V/Q imaging suggesting a high probability of PE, pulmonary angiography, MRPA) containing any of the following conditions.\n\n 1. primary acute PTE combined with or without DVT\n 2. recurrent acute PTE with a history of previous PTE or DVT\n* signed informed consent form\n\nExclusion Criteria:\n\n* blinded to any diagnostic or therapeutic test (VTE or other conditions)\n* unable to complete follow-up (due to cognitive or behavioral limitations, etc.)'}, 'identificationModule': {'nctId': 'NCT05723003', 'briefTitle': 'Prospective Validation of an Acute Pulmonary Embolism Severity and Prognosis Prediction Model', 'organization': {'class': 'OTHER', 'fullName': 'Peking Union Medical College Hospital'}, 'officialTitle': "Multicenter Prospective Validation and Extension of the 'PUMCH' Acute Pulmonary Embolism Severity and Prognosis Prediction Model", 'orgStudyIdInfo': {'id': 'PUMCHrule'}}, 'contactsLocationsModule': {'locations': [{'zip': '100730', 'city': 'Beijing', 'state': 'Beijing Municipality', 'status': 'RECRUITING', 'country': 'China', 'contacts': [{'name': 'Juhong Shi, M.D', 'role': 'CONTACT', 'email': 'shijh@pumch.cn', 'phone': '+8613701178492'}], 'facility': 'Peking Union Medical College Hospital', 'geoPoint': {'lat': 39.9075, 'lon': 116.39723}}], 'centralContacts': [{'name': 'Juhong Shi, M.D', 'role': 'CONTACT', 'email': 'shijh@pumch.cn', 'phone': '+8613701178492'}, {'name': 'Min Peng, M.D', 'role': 'CONTACT', 'email': 'pengmin@pumch.cn', 'phone': '+8613581888792'}], 'overallOfficials': [{'name': 'Juhong Shi, M.D', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Peking Union Medical College Hospital'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Peking Union Medical College Hospital', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}