Clinical trials: Prediction Model
Aortic Valve Disease
Aortic Valve Diseases RISk facTOr assessmenT and Prognosis modeL Construction
This study is a multicenter cohort study including patients diagnosed with aortic valve disease during hospitalization, including aortic insufficiency and aortic valve stenosis.
- Trial name
- ARISTOTLE (NCT06069232)
- Where
- 7 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Sun Yat-sen University
Critical Illness, Infections
A Model for Drug Concentration Prediction of Vancomycin
Objective: This study aims to use machine learning methods to establish an optimal model for predicting serum vancomycin trough concentrations in critically ill patients. Methods: This is a single-center, retrospective study.
- Conditions
- Critical Illness, Infections, Drug Use
- Trial name
- NCT06431412
- Testing
- no intervention
- Where
- China
- Volunteers
- 401 people
- Sponsor
- Peking Union Medical College Hospital
Moyamoya Disease, Moyamoya Syndrome
Development and Validation of Risk Prediction Models for Stroke and Cognitive Impairment in Moyamoya Disease and Moyamoya Syndrome
This multicenter prospective observational cohort study aims to develop and validate individualized risk prediction models for stroke and cognitive decline in patients with moyamoya disease or moyamoya syndrome by integrating…
- Trial name
- NCT07894107
- Where
- 13 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Beijing Tiantan Hospital
Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's…
- Conditions
- Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
- Trial name
- NCT06088134
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Mingzhao Xiao
Lung Cancer, Venous Thromboembolism
Development and Application of a Thrombosis Risk Prediction Model in Lung Cancer Patients Treated With Immune Checkpoint Inhibitors
The purpose of this observational study is to explore the incidence, risk factors, and relationship with therapeutic outcomes of VTE (venous thromboembolism) and ATE (arterial thromboembolism) associated with immune checkpoint…
- Conditions
- Lung Cancer, Venous Thromboembolism, Arterial Thromboembolism, Immune Checkpoint Inhibitors (ICIs)
- Trial name
- NCT06950697
- Where
- 5 sites in China
- Volunteers
- 2,400 people
- Sponsor
- Beijing Chao Yang Hospital
Infection
Multicenter Validation of a Risk Prediction Model for MDRGNB Infection
This prospective multicenter validation study aimed to evaluate the predictive performance of a previously developed model for MDRGNB infection in ICU patients.
- Trial name
- PRIOR (NCT07603128)
- Where
- 11 sites in China
- Volunteers
- 1,000 people
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
HIV Infections, Preexposure Prophylaxis (PrEP)
Clinical Decision Support for PrEP
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the federal initiative to end the HIV epidemic. However, healthcare providers lack tools to identify patients who are at increased risk for HIV infection and…
- Trial name
- PrEDICT (NCT05245201)
- Testing
- Standard of care, Clinical decision support for PrEP
- Where
- 3 sites in United States
- Volunteers
- 4 people, healthy volunteers welcome
- Sponsor
- Harvard Pilgrim Health Care
Hip Fracture, Hip Fracture Surgeries
External Validation of Ten Prediction Models for 30-day Mortality Following Hip Fracture
This study aims to externally validate ten existing prediction models with a low risk of bias for 30-day mortality following hip fracture.
- Trial name
- PROTECT (NCT06961253)
- Where
- Netherlands
- Volunteers
- 3,500 people, healthy volunteers welcome
- Sponsor
- JointResearch
Intraoperative Hypotension, General Anesthesia
Deep Learning Models for Prediction of Intraoperative Hypotension Using Non-invasive Parameters
The investigators aimed to investigate the deep learning model to predict intraoperative hypotension using non-invasive monitoring parameters.
- Trial name
- NCT05762237
- Where
- South Korea
- Volunteers
- 5,175 people
- Sponsor
- Samsung Medical Center
Postoperative Infection, Geriatrics
Elderly Patients Surgical Site Infection Phenotypes Identification
This study utilizes Latent Class Analysis (LCA) to identify phenotypes of Surgical Site Infection (SSI) in elderly patients following non-cardiac surgery.
- Conditions
- Postoperative Infection, Geriatrics, Prediction, Surgical Site Infection
- Trial name
- NCT06612177
- Where
- China
- Volunteers
- 42,532 people, healthy volunteers welcome
- Sponsor
- Weidong Mi
Sphincter (Anal); Perineal Rupture, Obstetric
Development and Validation of a Logistic Regression Algorithm to Predict the Risk of Obstetric Anal Sphincter Injury.
An obstetric anal sphincter injury (OASI) occurs during the final stage of a vaginal delivery. This tissue laceration, even if adequately sutured, poses a substantial threat to bowel continence in women.1,2 In a recent…
- Trial name
- NCT05218837
- Testing
- Vaginal birth
- Where
- Sweden
- Volunteers
- 800,000 people
- Sponsor
- Maria Gyhagen
Acute Type A Aortic Dissection
A Prediction Model of Prolonged Mechanical Ventilation Following Acute Type A Aortic Dissection Surgery
The goal of this observational study is to develop and validate a predictive model for prolonged mechanical ventilation (PMV) following acute type A aortic dissection (ATAAD) surgery. The main questions it aims to answer are: 1.
- Trial name
- NCT06929780
- Where
- China
- Volunteers
- 1,400 people
- Sponsor
- China-Japan Friendship Hospital
Sudden Cardiac Death, Myocardial Infarction
Digital MEDIcal TWIN for the Prediction of Arrhythmic Sudden Cardiac Death After a Myocardial Infarction
TWIN-SCD STEMI is a multicentric prospective, non-randomized pilot study designed to establish a multiparametric model for predicting life-threatening ventricular arrhythmias in patients experiencing their first myocardial…
- Trial name
- TWIN-SCD STEMI (NCT07527494)
- Testing
- Programmed ventricular stimulation, Cardiac CT scan
- Where
- France
- Volunteers
- 1,000 people
- Sponsor
- University Hospital, Bordeaux
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Lung Cancer Patients
Machine Learning for Predicting and Managing Quality of Life in Lung Cancer Immunotherapy Patients
The goal of this study is to explore whether health-related quality of life (HRQoL) can be used as a predictive indicator for lung cancer patients and to implement clinical interventions.
- Trial name
- NCT06725225
- Testing
- Symptom cluster-based care intervention, Conventional care intervention
- Volunteers
- 200 people
- Sponsor
- Second Affiliated Hospital of Zunyi Medical University
Thorax Injuries, Embolism Vein
Retrospectively Analyze the Risk Factors of VTE in 5774 Patients With Thoracic Trauma From 33 Hospitals in China, and Established a Risk Prediction Model
Retrospectively analyze the risk factors of VTE in 5774 patients with thoracic trauma from 33 hospitals in China, and established a risk prediction model
- Conditions
- Thorax Injuries, Embolism Vein, Embolism, Pulmonary, Rib Fractures
- Trial name
- MCTTVTE (NCT05770232)
- Where
- China
- Volunteers
- 5,774 people
- Sponsor
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital
Mental Health Care, Mental Disorders
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy.
- Trial name
- NCT05758285
- Testing
- AI-Based Prediction of Treatment Engagement and Outcomes
- Where
- Switzerland
- Volunteers
- 6,671 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Chronic Disease
Evaluation of AI Cost Prediction Model to Enroll Patients in Complex Care Management Program
Currently, UCLA Health (specifically the Office of Population Health and Accountable Care, or OPHAC) runs a complex care management program called Proactive Care (goal is to reduce care utilization by providing personalized care…
- Trial name
- NCT06916247
- Testing
- Complex care management program
- Where
- United States
- Volunteers
- 4,962 people
- Sponsor
- University of California, Los Angeles
Gastric Cancer (GC)
Recurrence and Prognosis Prediction Model for Gastric Cancer
This study, utilizing a large-scale multicenter Eastern database, has established a Deep Learning-based predictive model for recurrence following gastric cancer surgery, which demonstrates robust discriminatory power for early…
- Trial name
- NCT07243847
- Testing
- surgery and/or chemo
- Volunteers
- 5,000 people
- Sponsor
- Fudan University
Protein-Calorie Malnutrition
Dialysis Model for Outcome and Nutrition Decision
This study is the secondary phase of Taiwan Prediction Model Project Plan (TPMPP). The investigators try to design a prospective randomized control trial with nutrition intervention to validate 3 prediction models the…
- Trial name
- DIAMOND (NCT03642678)
- Testing
- ONS
- Where
- Taiwan
- Volunteers
- 422 people
- Sponsor
- An Hsin QingShui Clinic