Clinical trials: Prediction Models
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
Headache, Comorbidities
Headache Registration and Followup Initiated by Tongji Hospital, HUST
Headache is one of the most common chief complaints in clinical practice, with a high global prevalence rate. It may originate from a primary headache disorder or manifest as a clinical symptom of various diseases due to the…
- Trial name
- HEALTH (NCT07269561)
- Where
- China
- Volunteers
- 50,000 people
- Sponsor
- Tongji Hospital
Traumatic Brain Injury (TBI)
Prognostic Model for Predicting Outcome After Moderate to Severe Paediatric Traumatic Brain Injury
Due to ethical and logistical challenges related to paediatric research, there is limited age-appropriate evidence for managing paediatric traumatic brain injury (pTBI).
- Trial name
- PROMPT (NCT07538440)
- Where
- United Kingdom
- Volunteers
- 2,000 people
- Sponsor
- Cambridge University Hospitals NHS Foundation Trust
Heart Failure
Future Innovations in Novel Detection of Heart Failure FIND-HF
Heart failure (HF) is increasingly common and associated with excess morbidity, mortality and healthcare costs. New medications are now available which can alter the disease trajectory and reduce clinical events.
- Trial name
- FIND-HF (NCT05756127)
- Testing
- Observational - no intervention given
- Where
- United Kingdom
- Volunteers
- 14,000 people
- Sponsor
- University of Leeds
Brain Injuries, Pulmonary Embolism
Improving the Stewardship of Diagnostic Imaging Resources in Alberta Emergency Departments
Utilization of diagnostic imaging in the Emergency Department has increased dramatically over the past two decades, driven by an increased availability of advanced imaging, legal pressures to exclude serious diagnoses in low-risk…
- Trial name
- NCT02410941
- Testing
- Clinical decision support
- Where
- 16 sites in Canada
- Volunteers
- 52,058 people, healthy volunteers welcome
- Sponsor
- University of Calgary
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
Preeclampsia, Fullpairs
fullPIERS Model in the Prediction of Adverse Maternal Outcomes in Preeclampsia
Apredictive formula, fullPIERS (Pre-eclampsia Integrated Estimate of Risk Score), can be used to estimate the risk of suffering an adverse outcome using information obtained within 48 hours of admission with pre-eclampsia.
- Trial name
- Aprospective (NCT07316140)
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Sohag University
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
Fever, Triage
Triage Performance and Physiological Predictors of Serious Illness in Febrile Children in the Pediatric Emergency Department
This multicenter prospective observational cohort study evaluates how well the initial triage category assigned by the Turkish Ministry of Health three-level color-coded triage system (Red-Yellow-Green) predicts serious clinical…
- Conditions
- Fever, Triage, Pediatric Emergency Medicine, Serious Bacterial Infection
- Trial name
- PEDTRIAGE (NCT07739004)
- Testing
- Ministry of Health three-level color-coded triage
- Where
- 10 sites in Turkey (Türkiye)
- Volunteers
- 3,000 people
- Sponsor
- TC Erciyes University
Critical Illness
Predicting Early Circulatory Deterioration After Short-Acting Beta-Blocker Treatment in Intensive Care Patients
This retrospective observational study used existing intensive care records to examine whether heart rate and blood pressure measured before short-acting beta-blocker treatment could help predict early signs of worsening…
- Trial name
- NCT07846995
- Testing
- Esmolol, Landiolol
- Where
- China
- Volunteers
- 2,541 people
- Sponsor
- Shanghai Zhongshan Hospital
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
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)
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
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
Crohn's Disease, Intestinal Tuberculosis
Development of a Prediction Model for Differential Diagnosis Between Intestinal Tuberculosis and Crohn's Disease
The aim of this study is to develop a scoring system and a prediction model for differential diagnosis between intestinal tuberculosis and Crohn's disease.
- Trial name
- NCT01392365
- Where
- South Korea
- Volunteers
- 117 people
- Sponsor
- Asan Medical Center
Bronchopulmonary Dysplasia
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data from the First Three Postnatal Weeks with Large Language Models: A Retrospective Study This retrospective, observational study aims to evaluate…
- Trial name
- NCT07525167
- Testing
- Artificial Intelligence-Based Risk Prediction
- Where
- Turkey (Türkiye)
- Volunteers
- 108 people
- Sponsor
- Konya City Hospital
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
Glioma
Development and Validation of a Deep Learning-Based Survival Prediction Model for Pediatric Glioma Patients: A Retrospective Study Using the SEER Database and Chinese Data
Accurately predicting the survival of pediatric glioma patients is crucial for informed clinical decision-making and selecting appropriate treatment strategies.
- Trial name
- NCT06199388
- Testing
- Survival state
- Where
- China
- Volunteers
- 9,532 people
- Sponsor
- Tang-Du Hospital
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
Metastatic Hormone-Sensitive Prostate Cancer, Prostate Cancer
PSMA PET/CT-Based Multimodal Model for Predicting Response to First-Line Therapy in mHSPC.
This multicenter retrospective study developed and validated a prediction model based on PSMA PET/CT and routine clinical information to estimate early treatment response in patients with metastatic hormone-sensitive prostate…
- Trial name
- NCT07428642
- Testing
- Androgen Deprivation Therapy, Apalutamide, Enzalutamide
- Where
- China
- Volunteers
- 168 people
- Sponsor
- First Affiliated Hospital of Wenzhou Medical University