Clinical trials: Prediction Model
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
NAT2 Genotype
Isoniazid Dosage Prediction Model Development
Isoniazid (INH) is an essential component of first-line anti-tuberculosis (TB) treatment. However, treatment with INH is complicated by polymorphisms in the expression of the enzyme system primarily responsible for its…
- Trial name
- NCT02747654
- Testing
- genotype
- Where
- South Korea
- Volunteers
- 200 people
- Sponsor
- Samsung Medical Center
Mycoplasma Pneumoniae Pneumonia
Development and Validation of an Early Prediction Model for Severe Mycoplasma Pneumoniae Pneumonia in Children
Pneumonia is a major threat to the health of children. Mycoplasma pneumoniae infection is a core cause of pediatric pneumonia, and the incidence of severe mycoplasma pneumoniae pneumonia (SMPP) has increased in recent years.
- Trial name
- NCT07333833
- Testing
- medical history taking, blood test, pulmonary ultrasound
- Where
- China
- Volunteers
- 964 people
- Sponsor
- Beijing Friendship Hospital
Diabetes Mellitus, Type 2
HbA1c Prediction Model in Patients With Type 2 Diabetes
Patients with type 2 diabetes who have poor blood glucose control are enrolled to evaluate the efficacy and safety of the HbA1c prediction model for adjust the hypoglycemic treatment regimen, compared with the conventional…
- Trial name
- NCT05824286
- Testing
- HbA1c prediction
- Where
- China
- Volunteers
- 150 people
- Sponsor
- Peking University People's Hospital
Postoperative Infections, Mandibular Nerve Injuries
Surgeons' Prediction of Dental Surgery Complications and the Influence of Patient Characteristics: Development of an AI Model
The goal of this observational study is to learn how to better predict and prevent intra- and postoperative complications in oral surgery in adult patients referred for oral surgical procedures.
- Conditions
- Postoperative Infections, Mandibular Nerve Injuries, Alveolar Osteitis, Complication
- Trial name
- NCT07461324
- Where
- 2 sites in Denmark
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- University of Copenhagen
Ventricular Septal Defects
Prediction Model of Spontaneous Closure of Congenital Perimembranous Ventricular Septal Defects
The objective of this study is to establish a more comprehensive model for evaluating the condition of children with ventricular septal defect and predicting the probability and time of their spontaneous Closure.
- Trial name
- NCT07741097
- Where
- China
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Congenital Heart Disease
3D Airway Model for Pediatric Patients
To determine the correct size of endotracheal tubes (ETT) for endotracheal intubation of pediatric patients is no menial task. Although new methods have been investigated to determine ETT size, and the three-dimensional (3D)…
- Trial name
- NCT04814888
- Testing
- intubation with a cuffed ETT by a printed 3D airway model
- Where
- South Korea
- Volunteers
- 35 people
- Sponsor
- Pusan National University Yangsan Hospital
Machine Learning, Prediction Models
Timely Ordering of Pharmacogenetic Testing
The goal of this trial is to learn if a machine learning (ML) model can help optimize drug therapy in the pediatric population. The main question[s] it aims to answer are whether a machine learning model predicting receipt of a…
- Conditions
- Machine Learning, Prediction Models, Pediatrics, Precision Medicine
- Trial name
- NCT06902688
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 275 people
- Sponsor
- The Hospital for Sick Children
Ovarian Cancer
Identification of Risk Factors and Construction of Prediction Model for Postoperative Intestinal Anastomotic Leakage in Ovarian Cancer
This study was a multicenter, retrospective cohort study. Although advancements in surgical techniques have mitigated the incidence of intestinal anastomotic fistula, complete avoidance remains elusive.
- Trial name
- NCT06458361
- Testing
- Type of bowel resection, surgical complexity score, intraoperative blood loss, perioperative erythrocyte transfusion, type of anastomosis
- Where
- China
- Volunteers
- 401 people
- Sponsor
- Zhongda Hospital
Hospital Readmission
Validation of EPIC's Readmission Risk Model, the LACE+ Index and SQLape as Predictors of Unplanned Hospital Readmissions
The primary objective of this study is to externally validate the EPIC's Readmission Risk model and to compare it with the LACE+ index and the SQLape Readmission model.
- Trial name
- NCT04306172
- Testing
- An US Readmission Risk Prediction Model, LACE+ score, SQLAPE model
- Where
- Switzerland
- Volunteers
- 23,116 people
- Sponsor
- Luzerner Kantonsspital
Lumbar Disc Herniation, Lumbar Degenerative Disease
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
The study was a clinical retrospective study designed to investigate risk factors for long-term recurrent pain after PLIF in patients with lumbar degenerative disease and to improve patient outcomes
- Conditions
- Lumbar Disc Herniation, Lumbar Degenerative Disease, Sarcopenia
- Trial name
- NCT06622356
- Testing
- MRI with Eovist
- Where
- China
- Volunteers
- 452 people, healthy volunteers welcome
- Sponsor
- Hao Liu
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
Lung Cancer
Advanced Data-Aided Medicine Part Lung Cancer
Developing and validating an AI model that supports physicians in their decision process for treating lung cancer patients. This AI model needs to predict the probability of (the evolution of) the outcomes, based on clinical data…
- Trial name
- ADAMpartlung (NCT05783024)
- Testing
- Data collection
- Where
- Belgium
- Volunteers
- 500 people
- Sponsor
- AZ Delta
Chronic Pain, Osteoarthritis
Predicting Successful Outcome of Interdisciplinary Biopsychosocial Rehabilitation in Osteoarthritis
The goal of this prospective study is to identify variables that can predict whether an interdisciplinary biopsychosocial intervention for patients with osteoarthritis will be successful.
- Conditions
- Chronic Pain, Osteoarthritis, Disability Physical
- Trial name
- CIR-predict (NCT05661760)
- Testing
- interdisciplinary multimodal pain treatment
- Where
- Netherlands
- Volunteers
- 2,309 people
- Sponsor
- Maastricht University
Chronic Ankle Instability
A Prediction Model for Chronic Ankle Instability
Chronic ankle instability is a common problem that may follow an ankle sprain. Until a patient has developed chronic ankle instability they are ineligible for surgical treatment although early surgical treatment yields better…
- Trial name
- Predict (NCT02955485)
- Testing
- Patients do not undergo any type of interventions, but standard care if offered and accepted.
- Where
- 4 sites in Netherlands
- Volunteers
- 460 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Esophageal Squamous Cell Carcinoma
Prediction of Lymph Node Status in Stage T1 Esophageal Squamous Cell Carcinoma（RENMIN-237）
Accurate assessment of lymph node status in superficial esophageal squamous cell carcinoma is of great significance for preventing undertreatment and overtreatment.
- Trial name
- NCT05980403
- Testing
- no intervention
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Yongshun Chen
Bone Neoplasms
Localized Osteosarcoma in Upper Egypt: A Clinical Prediction Model
To assess survival outcome of pediatric patients with localized osteosarcoma of the extremities in Upper Egypt, identify factors of prognostic significance for survival, and to determine factors predictive of surgical methods…
- Trial name
- NCT03839095
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Assiut University
Bimaxillary Protrusion
Effect of an AI Prediction Model of Facial Changes After Orthodontic Treatment of Patients With Bimaxillary Protrusion
After developing an Artificial Intelligence model to predict the facial changes of patients with bimaxillary protrusion following orthodontic extraction of premolars and tooth retraction, participants will view a prediction in…
- Trial name
- Ai (NCT07066423)
- Testing
- Ai prediction photo of the patients, Fixed orthodontic brackets with premolars extraction
- Where
- Egypt
- Volunteers
- 45 people
- Sponsor
- Mansoura University
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
Chronic Hepatitis b
Prediction System of Clinical Endpoint Events for Chronic Hepatitis B Patients
A total of 2000 chronic hepatitis B (CHB) patients with liver biopsy performed at least 1 year after antiviral therapy are enrolled. All the patients will receive original antiviral treatment for the following 10 years.
- Trial name
- NCT03777969
- Where
- 7 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Friendship Hospital