Clinical trials: Risk Prediction Model
Severe Preeclampsia
Risk Prediction Models for Adverse Maternal and Neonatal Outcomes in Preeclampsia
This proposal describes a single centre retrospective cross-sectional study which will address the need to further develop and test statistical risk prediction models for adverse maternal and neonatal outcomes in low-resource…
- Trial name
- NCT04058405
- Testing
- Observational
- Where
- Zimbabwe
- Volunteers
- 549 people
- Sponsor
- Mpilo Central Hospital
Gastric Cancer (GC)
Development and Validation of the Surgical Assessment and Healthcare (SAH) Index for Gastric Cancer Treatment Evaluation
This study develops the Surgical Assessment and Healthcare (SAH) Index, a new tool to fairly evaluate gastric cancer surgery outcomes.
- Trial name
- SAH (NCT07180966)
- Where
- China
- Volunteers
- 780 people
- Sponsor
- Ruijin Hospital
Venous Thromboembolism, Pediatrics
Using a Real-Time Risk Prediction Model to Predict Pediatric Venous Thromboembolism (VTE) Events
The study will evaluate the effectiveness of a novel, real-time risk prediction model for identifying pediatric patients at risk for developing in-hospital blood clots (or venous thromboembolism [VTE]) based on data easily…
- Conditions
- Venous Thromboembolism, Pediatrics, Deep Vein Thrombosis, Pulmonary Embolism
- Trial name
- NCT04574895
- Testing
- Hematology Review
- Where
- United States
- Volunteers
- 17,427 people
- Sponsor
- Vanderbilt University Medical Center
Basal Cell Carcinoma
AI-Based Risk Classification and Histopathological Subtype Prediction of Basal Cell Carcinoma Using Dermoscopic Images
This retrospective observational study aims to develop and evaluate a convolutional neural network (CNN)-based artificial intelligence model for risk classification and histopathological subtype prediction of basal cell carcinoma…
- Trial name
- BCC-AI (NCT07677124)
- Where
- Turkey (Türkiye)
- Volunteers
- 2,500 people
- Sponsor
- Istanbul Training and Research Hospital
Renal Cell Carcinoma (RCC), Renal Cyst
The CT-based Deep Learning Model Predicts Complications in Partial Nephrectomy
The investigators combine radiomics and deep learning to analyze the lesions more thoroughly, aiming for a more accurate prediction of complications in partial nephrectomy, and compare this approach with traditional models.
- Trial name
- NCT06876584
- Where
- China
- Volunteers
- 1,474 people
- Sponsor
- Du Lingzhi
Postoperative Death
Descriptive and Risk Factors Analysis of All-cause Postoperative Death in Patients Undergoing Prolonged Surgery
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after prolonged surgery.
- Trial name
- NCT04926025
- Where
- 5 sites in China
- Volunteers
- 500,000 people
- Sponsor
- Huazhong University of Science and Technology
Colorectal Cancer, Lung Metastases
AI Prediction Model and Risk Stratification for Lung Metastasis in Colorectal Cancer
Background: To assist clinicians with diagnosis and optimal treatment decision-making, we attempted to develop and validate an artificial intelligence prediction model for lung metastasis (LM) in colorectal cancer (CRC) patients.
- Trial name
- NCT05816902
- Testing
- The location of the patient's treatment
- Volunteers
- 2,779 people
- Sponsor
- Peking Union Medical College
Post Partum Hemorrhage
A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
This research project aims to enhance the safety of childbirth by using advanced computer models to predict the risk of postpartum hemorrhage (PPH). PPH is a significant concern for mothers during and after delivery.
- Trial name
- NCT06513351
- Testing
- Novel PPH Risk Prediction Model - Comparator Arm B
- Where
- United States
- Volunteers
- 12,500 people
- Sponsor
- Holly Ende
Myocardial Infarction
Development and Validation of a Risk Prediction Model for Ischemic Stroke in Acute Myocardial Infarction Without Comorbid Atrial Fibrillation
Study Goal: This observational study aims to develop a tool to predict the risk of ischemic stroke(stroke caused by a blood clot) in people who survive a heart attack and do not have irregular heartbeats (atrial fibrillation) .
- Trial name
- NCT07171892
- Where
- China
- Volunteers
- 4,000 people
- Sponsor
- First Affiliated Hospital of Ningbo University
Brachial Plexus Injury
A Multicenter External Validation of a Novel Prediction Model for Elbow Flexion Recovery After Nerve Transfer Surgery in Brachial Plexus Injuries
The goal of this observational study is to validate a risk prediction model developed for unsuccessful elbow flexion recovery after nerve transfer surgery in patients with brachial plexus injury.
- Trial name
- NCT06237270
- Testing
- Nerve transfer surgery for elbow flexion
- Where
- Thailand
- Volunteers
- 200 people
- Sponsor
- Siriraj Hospital
High-risk, Bipolar Disorder
A Cohort Study of Disease Prediction Model for High-risk Population With Bipolar Disorder
Bipolar disorder (BD) is a serious, complicated, familial aggregation onset of mental illness, which has the characteristics of five-low and one-high, namely high prevalence, high recurrence rate, high morbidity and mortality…
- Conditions
- High-risk, Bipolar Disorder, Atypical Depression
- Trial name
- DPM-rBD (NCT07031661)
- Testing
- This was an observational study with no intervention.
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
Hepatocellular Carcinoma
Construction of a Recurrence Risk Prediction Model for Liver Resection Based on Drug Sensitivity of Patient-derived Hepatocellular Carcinoma Organoid
Liver cancer is the sixth most common malignant tumor worldwide and the third leading cause of cancer-related deaths. China is a high-risk area for liver cancer, accounting for approximately 55% of primary liver cancer worldwide.
- Trial name
- NCT06699524
- Testing
- in vitro （chemotherapy）, Adjuvant TACE（Adjuvant Transarterial Chemoembolization）
- Where
- China
- Volunteers
- 122 people
- Sponsor
- Shen Feng
Chronic Pain, Limb Fracture
Chronic Pain Predictors in Major Trauma
The goal of this observational study is to learn about who is at risk of developing chronic pain in a major trauma population with at least one limb fracture.
- Trial name
- COPE: MT (NCT07237152)
- Where
- United Kingdom
- Volunteers
- 450 people
- Sponsor
- University of Nottingham
Severe Malaria
Clinical Prediction Models for Pediatric In-Hospital Death Risk in Congolese Severe Malaria Children Using Machine Learning Based-Algorithms
The goal of this observational study is to optimize the management of severe childhood malaria, based on understanding and controlling the severity factors of the disease in Congolese children aged 2 to 9 years (the age group at…
- Trial name
- NCT07355426
- Testing
- Puncture of the radial artery for instant arterial blood gaz as well as for venous biochemistry
- Where
- Democratic Republic of the Congo
- Volunteers
- 100 people
- Sponsor
- University of Kinshasa
Sport Injury, Hamstring Injury
System Dynamics Model for Acute Non-contact Lower Extremity Injuries Prediction
Despite the extensive research on prevention and prediction strategies, hamstrings strains injury (HSI) persists at a high rate in team sports and specifically in football.
- Conditions
- Sport Injury, Hamstring Injury, Risk Factors, Interaction
- Trial name
- SDLE (NCT05425303)
- Testing
- Exposure to risk for injury
- Where
- Greece
- Volunteers
- 99 people, healthy volunteers welcome
- Sponsor
- University of Patras
Severe Autoimmune Encephalitis
Risk Prediction Model for Severe Autoimmune Encephalitis
A prospective study aims to establish a multicenter clinical diagnosis and treatment database for patients with autoimmune encephalitis (AE).
- Trial name
- NCT06697678
- Testing
- No Intervention: Observational Cohort
- Volunteers
- 1,000 people
- Sponsor
- Xuanwu Hospital, Beijing
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
Pituitary Tumor
Construction and Application of a Risk Prediction Model Forepistaxis After Pituitary Tumor Resection
(1) Objective to establish an evaluation system for predicting the risk of epistaxis after endoscopic transsphenoidal pituitary surgery（ 2) Objective to determine the risk factors of epistaxis after endoscopic transsphenoidal…
- Trial name
- NCT04938401
- Volunteers
- 1 people
- Sponsor
- Wang Ying supervisor nurse
Placenta Accreta Spectrum
Risk Factors, Prognosis and Prediction Models for Placenta Accreta Without Prior Cesarean Section
1. Identify the risk factors for Placenta accreta spectrum (PAS) disorders in women without prior caesarean section (CS). 2. Clarify the prognostic factors of the disease and explore individualized treatment options to improve…
- Trial name
- NCT06383923
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Extravasation of Contrast Media
Risk Prediction Model for Iodinated Contrast Medium Extravasation
This study aims to develop a risk prediction model for iodine contrast agent extravasation from peripheral veins and to implement this model clinically to establish a risk control management system for iodine contrast agent…
- Trial name
- RPMICME (NCT06859242)
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Zhang Wenyan