Clinical trials: Prediction Model
Neck Pain, Chronic Neck Pain
Prediction of Recovery in Patients With Neck Pain
This prognostic prediction model will be a reference for the health care professionals in clinical decision making and subsequent outcomes in dealing with patients having sub-acute and chronic neck pain, as well as, it will be a…
- Conditions
- Neck Pain, Chronic Neck Pain, Cervical Radiculopathy
- Trial name
- NCT04924764
- Testing
- Conventional physical therapy.
- Where
- Pakistan
- Volunteers
- 84 people
- Sponsor
- Riphah International University
Osteoporosis
AI Model for Bone Mineral Density Prediction From X-Ray Images
Osteoporosis, a pervasive skeletal disorder characterized by diminished bone strength predisposing individuals to an increased risk of fractures, presents a substantial public health challenge globally.
- Trial name
- NCT06652061
- Testing
- Dual Energy X-Ray Absorptiometry Scan (DEXA Scan), X-Ray (Hip and Spine)
- Where
- Bangladesh
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Predictive Model
Development and Validation of a Prediction Model for Depression and Anxiety in Perioperative Elderly Adults
Anxiety and depression in later life are highly prevalent, often appear as comorbid disorders, and have many adverse consequences for both the individual and society.
- Trial name
- NCT05600504
- Testing
- no intervention
- Where
- China
- Volunteers
- 6,386 people
- Sponsor
- Chinese PLA General Hospital
Non-Attendance, Patient, No-Show Patients
Non-attendance Prediction Models to Pediatric Outpatient Appointments
Non-attendance to pediatric outpatient appointments is a frequent and relevant public health problem. Using different approaches it is possible to build non-attendance predictive models and these models can be used to guide…
- Trial name
- NCT06077630
- Testing
- No intervention
- Volunteers
- 300,000 people
- Sponsor
- Hospital General de Niños Pedro de Elizalde
Aortic Valve Disease
Aortic Valve Diseases RISk facTOr assessmenT and Prognosis modeL Construction
This study is a multicenter cohort study including patients diagnosed with aortic valve disease during hospitalization, including aortic insufficiency and aortic valve stenosis.
- Trial name
- ARISTOTLE (NCT06069232)
- Where
- 7 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Sun Yat-sen University
Abdominal Injuries, Wounds and Injuries
Predictors of In-Hospital Mortality in Severe Abdominal Trauma
Severe abdominal trauma is a leading cause of early death from bleeding and of later death from sepsis and organ failure. Clinicians use scoring systems to estimate the risk of dying, but most of these scores were developed and…
- Conditions
- Abdominal Injuries, Wounds and Injuries, Wounds, Nonpenetrating, Wounds, Penetrating
- Trial name
- NCT07843628
- Where
- Egypt
- Volunteers
- 430 people
- Sponsor
- Minia University
Multiple Pulmonary Nodules
Prediction Model for Multiple Pulmonary Nodules
This study compares the sensitivity, specificity and accuracy of radiologists, thoracic surgeons and a predictive model (PKUM model) to discriminate malignancy from benign nodules in patients with multiple pulmonary nodules.
- Trial name
- NCT03795181
- Where
- China
- Volunteers
- 59 people
- Sponsor
- Peking University People's Hospital
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
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
COVID19, Pneumonia, Viral
Predictive Models for Intensive Care Admission and Death of COVID-19
To build simple and reliable predictive scores for intensive care admissions and deaths in COVID19 patients. These scores adhere to the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or…
- Conditions
- COVID19, Pneumonia, Viral, Inflammatory Response
- Trial name
- NCT04401228
- Testing
- predict admission of covid-19 patients to ICU and death with routine and quickly avalaible clinical, biological and radiological variables?
- Where
- Belgium
- Volunteers
- 60 people
- Sponsor
- Clinique Saint Pierre Ottignies
Stroke Acute, Encephalitis
Inflammatory and Metabolic Prognostic Assessment in Critically Ill Neurological Patients
The study aims to develop and validate a prognostic prediction model for adverse outcomes in neurocritical patients receiving enteral nutrition based on key inflammatory and metabolic markers.
- Conditions
- Stroke Acute, Encephalitis, Non-traumatic Brain Injury
- Trial name
- IMPACT-NEURO (NCT06849011)
- Where
- 19 sites in China
- Volunteers
- 1,185 people
- Sponsor
- Yan Zhang
Stroke
Development of a Genomics-based Multimodal Prediction Model for Post-stroke Vascular Dementia
To collect large-scale multimodal data, including genomic information, neuroimaging, neurophysiological measures, cognitive assessments, and clinical characteristics from stroke survivors and healthy controls.
- Trial name
- NCT07660263
- Where
- South Korea
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Seyoung Shin
Septic Shock
A Prediction Model of 28-day Mortality in Septic Shock
This clinical study adopts the design of cohort research, selects the sepsis shock patients admitted to our hospital ICU as the research object, takes the 28-day mortality rate as the outcome index, collects the baseline data of…
- Trial name
- NCT04915625
- Where
- China
- Volunteers
- 530 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Myocardial Infarction (MI)
Enhanced Prediction Model for Major Adverse Events Following Acute Myocardial Infarction
Acute myocardial infarction (AMI) remains a leading cause of mortality worldwide. Although early revascularization has markedly improved short-term outcomes, the incidence of major adverse cardiovascular events after the index…
- Trial name
- NCT07250152
- Testing
- Percutaneous coronary intervention
- Where
- China
- Volunteers
- 1,544 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Chronic Disease
Evaluation of AI Cost Prediction Model to Enroll Patients in Complex Care Management Program
Currently, UCLA Health (specifically the Office of Population Health and Accountable Care, or OPHAC) runs a complex care management program called Proactive Care (goal is to reduce care utilization by providing personalized care…
- Trial name
- NCT06916247
- Testing
- Complex care management program
- Where
- United States
- Volunteers
- 4,962 people
- Sponsor
- University of California, Los Angeles
Acute Ischemic Stroke, Reperfusion Injury
Wet and Dry Biomarkers to Predict Secondary Injury in Stroke: From Bench to Bedside - The NIMBLE Study
Infarct growth (IG), Hemorrhagic Transformation (HT) and Cerebral Edema (CE) can be considered pivotal phenomena of clinical deterioration following an acute ischemic stroke.
- Conditions
- Acute Ischemic Stroke, Reperfusion Injury, Cerebral Edema, Hemorrhagic Transformation Due to Acute Stroke
- Trial name
- NIMBLE (NCT07422636)
- Where
- Italy
- Volunteers
- 213 people
- Sponsor
- University of Florence
Musculoskeletal Injury, Spinal Injuries
Predictive Models for Spine and Lower Extremity Injury After Discharge From Rehab
The purpose of this study is to develop algorithms that will help predict future injury and/or re-injury after being returned to duty from a musculoskeletal injury.
- Conditions
- Musculoskeletal Injury, Spinal Injuries, Leg Injuries
- Trial name
- MP3-RD (NCT02776930)
- Where
- 4 sites in United States
- Volunteers
- 480 people
- Sponsor
- Brooke Army Medical Center
Machine Learning, Acute Kidney Injury
Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality.
- Conditions
- Machine Learning, Acute Kidney Injury, Renal Replacement Therapy, Prediction Models
- Trial name
- NCT04977687
- Where
- China
- Volunteers
- 2,108 people
- Sponsor
- Chinese PLA General Hospital
Osteoporosis Risk, Fracture of Femur
Prediction Model of Hip Fragility Fracture Realistic Data From a Traumatology Department and Orthogeriatric Ward.
The aim of the project is to build a prediction model of hip fragility fracture using hospital data routinely collected in the traumatology department from the last 12 years and up to date Explainable Artificial Intelligence…
- Conditions
- Osteoporosis Risk, Fracture of Femur, Fragility
- Trial name
- NCT06545487
- Testing
- BLOOD SAMPLE
- Where
- Chile
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Universidad de Valparaiso
Chronic Hepatitis C
Exploration of Chronic Hepatitis C Infection Receiving 24-week Interferon-α With Ribavirin Treatments
The aims of this three-year study are to explore symptom experience and its related factors for the patients with chronic hepatitis C Infection receiving interferon-α with ribavirin for 24 weeks and further to predict the…
- Trial name
- NCT01178749
- Where
- Taiwan
- Volunteers
- 390 people
- Sponsor
- National Taiwan University Hospital