Clinical trials: Prediction Model
Trilaciclib, CDK4/6-dependent Solid Tumors
Trilaciclib in Combination With Chemotherapy in Patients With CDK4/6-Dependent Solid Tumors
Trilaciclib, an innovative first-in-class therapy that protects bone marrow at the source, has been approved for use in CDK4/6-independent small-cell lung cancer.
- Trial name
- NCT07490236
- Testing
- Trilaciclib group
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Hebei Medical University Fourth Hospital
Endometrial Cancer
Different Risk Stratification Models for Prediction of Lymph Node Involvement in Endometrial Carcinoma
Endometrial cancer is the most common malignant disease of the female genital tract and the seventh most common cause of cancer death in women in Western countries.
- Trial name
- NCT04120649
- Testing
- hysterectomy
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Assiut University
Healthcare; Risk Prediction; Diabetic Patients With Osteoporosis
A Model for Risk Prediction of Fracture in Diabetic Patients With Osteoporosis
The fracture risk of diabetic patients proves to be higher than those without diabetesdue to thehyperglycemia, usage of diabetes drugs, the changes in insulin levels and excretion, and this risk begins as early as…
- Trial name
- NCT04534166
- Testing
- Risk Prediction of Fracture in Diabetic Patients with Osteoporosis
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Osteoarthritis, Thumb Arthritis
Predictive Model for 1-Year Pain and Function Outcomes After Thumb Joint Surgery in Osteoarthritic Patients
This study aims to develop a predictive model to help doctors better understand expected outcomes one year after thumb joint surgery for osteoarthritis.
- Conditions
- Osteoarthritis, Thumb Arthritis, Arthroplasty of the MCP Joint
- Trial name
- NCT06740851
- Testing
- Touch® Trapeziometacarpal Joint Arthroplasty
- Where
- Switzerland
- Volunteers
- 330 people
- Sponsor
- Michael Oyewale
Epithelial Ovarian Cancer
Research on Nutritional Risk Indexes and Inflammatory Indicators in Postoperative Complications and Prognosis of Epithelial Ovarian Cancer Patients
The goal of this observational study is to explore the influence and predictive significance of nutritional risk indicators and inflammatory indicators on postoperative complications and prognosis of patients with epithelial…
- Trial name
- NCT06483399
- Volunteers
- 1,108 people
- Sponsor
- Qinglei Gao
Machine Learning, Cardiovascular Outcome
PACT Involvement in Cardiology Patients
The goal of this trial is to determine the effectiveness of a machine-learning (ML) model predicting a serious cardiac event within the next three months, when compared pre- versus post-deployment, in pediatric cardiac…
- Conditions
- Machine Learning, Cardiovascular Outcome, Pediatric Palliative Care, Pediatric Cardiology
- Trial name
- NCT06886529
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 1,000 people
- Sponsor
- The Hospital for Sick Children
Pediatric Abdominal Trauma
Pediatric Blunt Abdominal Trauma Clinical Prediction Model
The submitted proposal is designed to reduce morbidity and mortality to injured children. Significant variability in the initial trauma assessment exists among institutions.
- Trial name
- NCT02206698
- Where
- 14 sites in United States
- Volunteers
- 2,800 people
- Sponsor
- Medical University of South Carolina
Dental Malocclusion
Accuracy of Arch Analysis in Mixed Dentition Using Digital Models Versus Plaster Ones.
Accuracy of arch analysis in mixed dentition using digital study models versus the plaster models using Tanaka and Johnston prediction equation:
- Trial name
- NCT03714932
- Testing
- 3shape ortho analyzer software
- Where
- Egypt
- Volunteers
- 10 people
- Sponsor
- Cairo University
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
Chronic Pancreatitis, Pancreatic Neoplasm
Prediction Model of Pancreatic Neoplasms in CP Patients With Focal Pancreatic Lesions
This study aims to develop XGBoost machine learning model to predict pancreatic neoplasms in CP patients with focal pancreatic lesions.
- Conditions
- Chronic Pancreatitis, Pancreatic Neoplasm, Machine Learning
- Trial name
- NCT07045181
- Testing
- XGBoost machine learning
- Where
- China
- Volunteers
- 113 people
- Sponsor
- Changhai Hospital
Peritoneal Dialysis
Predicting Peritoneal Kt/Vurea Based on Single-Exchange Dialysate Effluent
Background: Peritoneal dialysis (PD) adequacy is routinely evaluated using the urea clearance index (Kt/Vurea), a key indicator of small-solute clearance and treatment adequacy.
- Trial name
- NCT07659067
- Testing
- Single-Exchange Dialysate Effluent-Based Prediction of Peritoneal Kt/Vurea
- Volunteers
- 300 people
- Sponsor
- Peking University First Hospital
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
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
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
Bronchopulmonary Dysplasia, Right Ventricular Dysfunction
Right vEntricular Function Prediction mOdel to Identify pReterm infanTs With Early BronchoPulmonary Dysplasia.
Short title REPORT-BPD feasibility study Design A mixed methods observational cohort feasibility study Study Setting Neonatal Intensive Care Unit at University Hospitals Plymouth NHS Trust Aim To explore the feasibility of…
- Conditions
- Bronchopulmonary Dysplasia, Right Ventricular Dysfunction, In the Perinatal Period
- Trial name
- REPORT-BPD (NCT05235399)
- Testing
- Echo scans
- Where
- United Kingdom
- Volunteers
- 40 people
- Sponsor
- University Hospital Plymouth NHS Trust
Genotype
AI-Driven Genotype Prediction Using EHR and Multimodal Data
The goal of this clinical study is to explore the potential of using electronic health records (EHR) and multimodal data (such as imaging, lab results, and clinical history) to predict a patient's genotype.
- Trial name
- NCT06791421
- Testing
- AI-Predictng Model
- Where
- 4 sites in China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Crohn Disease (CD), Dynamic Prediction Model
Development of a Dynamic Prediction Model for Crohn's Disease-Related Intestinal Surgery Using Longitudinal Indices of Routine Blood Tests: A Single-Center Retrospective Cohort Study
This single-center retrospective cohort study aims to develop and internally validate a dynamic prediction model that uses longitudinal data from routinely collected blood tests to continuously assess the risk of Crohn's disease…
- Trial name
- NCT07644390
- Volunteers
- 500 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Kidney Transplantation, Delirium - Postoperative
A Predictive Model for Postoperative Delirium in Kidney Transplant Patients
This study aims to develop and prospectively validate a machine learning-based prediction model for postoperative delirium in kidney transplant recipients, using perioperative clinical data.
- Conditions
- Kidney Transplantation, Delirium - Postoperative, Cognitive
- Trial name
- NCT07078578
- Volunteers
- 4,800 people
- Sponsor
- Hua Zheng