Clinical trials: Prediction Model
Type2diabetes
Validation of Existing Diabetes Risk Models in a Swedish Population
The goal of this observational study is to validate existing non-invasive diabetes clinical prediction models in a Swedish population.
- Trial name
- NCT05609266
- Volunteers
- 115,642 people, healthy volunteers welcome
- Sponsor
- Umeå University
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 Hypothermia
Research on Intraoperative Hypothermia Risk Prediction Model and Temperature Management Strategy for Elderly Patients During Surgery Based on Dynamic Incremental Training
With the support of partial dual temperature monitoring (comparing the specific difference between standardized axillary temperature monitoring and esophageal temperature), this trial is divided into the following three parts: 1.
- Trial name
- NCT06676735
- Testing
- Inflatable warming system, Prediction of intraoperative hypothermia risk, The difference between axillary temperatature and core temperature in elderly patients
- Where
- China
- Volunteers
- 1,323 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital of Chongqing Medical University
Hypertensive Disorder of Pregnancy, Pregnancy Complications
The Investigation of the Prediction Model and Prevention Strategy of Serious Pregnancy Complications in Hypertensive Disorders of Pregnancy Based on the Chinese Population
1. Evaluation of the efficacy of aspirin in preventing preeclampsia and its serious complications during pregnancy and postpartum. 2.
- Trial name
- HDP-RPP (NCT05089175)
- Testing
- Low-dose aspirin
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Women's Hospital School Of Medicine Zhejiang University
Pre-Exposure Prophylaxis
Leveraging Electronic Health Record Data in a Risk Prediction Model to Increase HIV PrEP Intake in Primary Care
Kaiser Permanente Northern California (KPNC) has been a national leader in implementation of HIV preexposure prophylaxis (PrEP), a daily antiretroviral pill that is more than 99% effective in preventing HIV acquisition.
- Trial name
- NCT05991869
- Testing
- Point-of-care decision support intervention
- Where
- United States
- Volunteers
- 121 people, healthy volunteers welcome
- Sponsor
- Kaiser Permanente
Multiple Sclerosis, Multiple Sclerosis Lesion
Artificial Intelligence in Predicting Progression in Multiple Sclerosis Study
The study proposal focuses on multiple sclerosis (MS), a chronic incurable disease of the central nervous system (CNS). The MS disease is characterised by recurrent transient disability progression, quantified by increase in the…
- Conditions
- Multiple Sclerosis, Multiple Sclerosis Lesion, Multiple Sclerosis Brain Lesion
- Trial name
- AI ProMiS (NCT05426980)
- Where
- 4 sites in Slovenia
- Volunteers
- 654 people, healthy volunteers welcome
- Sponsor
- University of Ljubljana
Liver Transplantation
A New Prediction Mode for Predicting the Risk of Pressure Injury in Patients Undergoing Liver Transplantation
Pediatric population is at a high-risk of pressure injury (PI). Patients undergoing liver transplantation are more prone to PIs compared with other types of surgery.
- Trial name
- PMPRPIULT (NCT05588271)
- Testing
- Exposures
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- RenJi Hospital
Depression
The Quantitative Study of the Habenula Based on Multi-channel Cascaded Neural Network and the Establishment of the Prediction Model of the Curative Effect in Patients With Depression
Depression is the second leading cause of disease burden in our country. It has serious effects on the physical and mental health of human beings, and about 30% of patients with depression are unresponsive or respond poorly to…
- Trial name
- NCT05872607
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The First Hospital of Jilin University
Postoperative Complications, Elderly
Elderly Patients Undergoing Surgery During Perioperative Period
The elderly patients have poorer overall conditions and have lower tolerance to trauma, anesthesia, and surgery. Therefore, the incidence of postoperative complications is relatively higher.
- Conditions
- Postoperative Complications, Elderly, Postoperative Delirium (POD), Risk Prediction Model
- Trial name
- NCT07314762
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Wenzhou Medical University
Postoperative Sore Throat
Establishment of Prediction Model for Postoperative Sore Throat
This observational study aims to identify the risk factors associated with postoperative sore throat (POST) and to develop a clinical prediction model for patients undergoing thyroid surgery under general anesthesia.
- Trial name
- NCT07088224
- Testing
- Observational studies without intervention
- Volunteers
- 375 people, healthy volunteers welcome
- Sponsor
- Nanjing First Hospital, Nanjing Medical University
AKI - Acute Kidney Injury
Risk Factors and Deep Learning Model for CI-AKI
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
- Trial name
- NCT06596785
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xiao Li，MD
Knowledge, Attitudes, Practice
Determinants of Knowledge About and Use of Dietary Supplements
This study aims to evaluate (1) the level of knowledge about dietary supplements (KaDS) among people potentially interested in health issues in Poland and (2) the fraction of these people using dietary supplements (UoDS).
- Trial name
- NCT04184219
- Where
- Poland
- Volunteers
- 7,632 people, healthy volunteers welcome
- Sponsor
- Medical University of Lodz
Extubation Success, Extubation Failure
Combined RSBI, TOF, and BIS for Prediction of Extubation Success
This prospective observational study aims to evaluate the predictive value of the combined use of the rapid shallow breathing index, train-of-four ratio, and bispectral index for extubation success after general anesthesia.
- Conditions
- Extubation Success, Extubation Failure, Postoperative Respiratory Complications
- Trial name
- NCT07577453
- Testing
- Combined pre-extubation assessment using RSBI, TOF ratio, and BIS
- Where
- Turkey (Türkiye)
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Gaziantep City Hospital
Military Activity
Body Fat Percentage Prediction Model After Basic Combat Training on Army Candidate in Indonesia
This research is a quantitative study using the Pre-Experimental Model One-Group Pretest-Posttest Design with total sampling from the Republic of Indonesia Defense University batch 4 cadets that fullfiled criteria.
- Trial name
- NCT06134427
- Testing
- basic combat training (investigator did not design the intervention)
- Where
- Indonesia
- Volunteers
- 258 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Delirium
With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlying Patterns, and Predict Future Trends. In Recent Years, Machine Learning Has Been Widely Used in
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly…
- Trial name
- POD (NCT07121309)
- Where
- China
- Volunteers
- 901 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Soochow University
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
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
Adverse Drug Events
Eliminating Risk of Preventable Adverse Drug Events at the Hospital-community Interface of Care
This initiative aims to decrease the risk of medication errors at the hospital-community interface as well as health system utilization following hospital discharge by implementing a pharmacist-led medication reconciliation in…
- Trial name
- CMR (NCT01164137)
- Testing
- Medication Reconciliation
- Where
- Canada
- Volunteers
- 156 people, healthy volunteers welcome
- Sponsor
- Westview Physician Collaborative
Coronary Artery Disease
Prediction of Coronary Artery Disease Based on Multimodal, Non-contact Information With Artificial Intelligence
The goal of this observational study are 1) to assess the effectiveness of modalities and/or their combination of multimodal non-contact information in predicting coronary artery disease; 2) to prospectively validate the…
- Trial name
- NCT06092801
- Testing
- No intervention
- Where
- China
- Volunteers
- 2,978 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Posterior Chamber Phakic Intraocular Lens, Vault
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study
- Conditions
- Posterior Chamber Phakic Intraocular Lens, Vault, Deep Neural Network, Myopia
- Trial name
- NCT06669728
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 326 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University