Clinical trials: Prediction Model
Post Partum Hemorrhage
A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
This research project aims to enhance the safety of childbirth by using advanced computer models to predict the risk of postpartum hemorrhage (PPH). PPH is a significant concern for mothers during and after delivery.
- Trial name
- NCT06513351
- Testing
- Novel PPH Risk Prediction Model - Comparator Arm B
- Where
- United States
- Volunteers
- 12,500 people
- Sponsor
- Holly Ende
Bleeding Peptic Ulcer
Multicenter Validation on Predicting Mortality for Patients With Bleeding Peptic Ulcers
This study aimed to validate CU prediction model on mortality for patients with high risk bleeding peptic ulcers after therapeutic endoscopy.
- Trial name
- NCT02245802
- Where
- China
- Volunteers
- 785 people
- Sponsor
- Chinese University of Hong Kong
Pancreatic Ductal Adenocarcinoma
Prediction of Neoadjuvant Chemotherapy Response in Pancreatic Cancer
This study aims to develop and validate a predictive microRNA (miRNA) panel to assess the response to neoadjuvant chemotherapy (NACT) in patients with resectable and borderline resectable pancreatic ductal adenocarcinoma (PDAC).
- Trial name
- PRECEPT (NCT07226154)
- Testing
- Small RNA sequencing, PRECEPT assay (qRT-PCR validation)
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- City of Hope Medical Center
Inflammatory Response
Persistent Readiness Through Early Prediction Immunization Study
This study will enroll volunteers in an open-format (outside hospital) setting, to complete novel data collection/analysis of biomarkers, facial images, and audio-recording to establish an optimal set of parameters to predict…
- Trial name
- PREP DOD (NCT05346302)
- Testing
- Pneumovax 23, Typhim VI, Saline
- Where
- United States
- Volunteers
- 249 people, healthy volunteers welcome
- Sponsor
- Texas A&M University
Thyroid Cancer
Influencing Factors and Prediction Model of False-negative Central Lymph Nodes in Thyroid Cancer Patients
The problem of false-negative lymph nodes in the central region (CLN) refers to the inability to detect lymph nodes (LN) metastasis during preoperative ultrasound examination but is confirmed by surgical and postoperative…
- Trial name
- NCT06423105
- Volunteers
- 6,369 people
- Sponsor
- Ningning Ren
Delirium, Cognitive Dysfunction
Prediction Model of Long-term Cognitive Dysfunction and Delirium After Cardiac Surgery
Delirium is a clinical syndrome caused by normal dysfunction of the brain, characterized by reduced awareness and responsiveness to the environment, as well as orientation disorders, incoherent thinking and memory disorders.
- Trial name
- NCT05972057
- Testing
- cardiac surgery
- Where
- China
- Volunteers
- 200 people
- Sponsor
- RenJi Hospital
Trauma Injury, Mortality Prediction
Fall Injury Mortality Prediction
This retrospective, multicenter, registry-based cohort study used data from the Pan-Asian Trauma Outcomes Study registry between January 2016 and December 2024.
- Conditions
- Trauma Injury, Mortality Prediction, Fall
- Trial name
- NCT07643051
- Testing
- Prediction model development
- Volunteers
- 58,353 people, healthy volunteers welcome
- Sponsor
- Mackay Memorial Hospital
In-stent Restenosis
In-stent Restenosis and Pericoronary Fat Attenuation Index
This study aims to investigate the predictive value of fat attenuation index (FAI) and related radiomics characteristics of pericoronary fat in patients after percutaneous coronary intervention (PCI) for the occurrence of…
- Trial name
- NCT05512832
- Where
- China
- Volunteers
- 126 people
- Sponsor
- RenJi 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)
Hypoxemia, Obstructive Sleep Apnea
The Prediction Model of Hypoxemia for Safe Bronchoscopy
The purpose of this study is to develop the hypoxemia prediction model during fiberoptic bronchoscopy under MAC(monitored anesthesia care) anesthesia.
- Trial name
- NCT01370993
- Where
- South Korea
- Volunteers
- 150 people
- Sponsor
- Seoul National University Bundang Hospital
Psoriasis
Prediction Model for Osteopenia in Patients With Psoriasis
This study aims to develop a clinical prediction model for osteopenia in patients with psoriasis. By retrospectively analyzing demographic, laboratory, and lifestyle variables, the investigators will identify risk factors…
- Trial name
- NCT07112755
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Chongli Yu
Heart Block, Risk Factor
New-onset Heart Blocks After Noncardiac Surgery: a Retrospective Study of More Than 280,000 Patients
This study aimed to investigate new-onset heart blocks after noncardiac surgery, identify risk factors, and develop a prediction model.
- Trial name
- NCT06119009
- Testing
- non interventions
- Volunteers
- 281,497 people
- Sponsor
- Chinese PLA General Hospital
Carcinoma, Hepatocellular
A Retrospective Study on the Treatment of Intermediate and Advanced Liver Cancer.
To evaluate the effectiveness of TACE combined with immunotherapy and targeted therapy versus TACE alone in patients with intermediate and advanced liver cancer.
- Trial name
- NCT06205732
- Testing
- Immunotherapy, targeted therapy.
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Qianfoshan Hospital
Prostate Cancer
Predicting Prostate Biopsy Results With Biomarkers and mpMRI.
Current standard prostate biopsy techniques, used to definitively diagnose prostate cancer (PC), utilises an ultrasound guided biopsy approach, that offers unsatisfactory specificity and sensitivity for clinical significant PC.
- Trial name
- ProBioM (NCT03730324)
- Testing
- mpMRI, Urine and plasma biomarkes.
- Where
- Denmark
- Volunteers
- 261 people
- Sponsor
- Torben Brøchner Pedersen
Trauma
Can Prediction Models Triage Trauma Patients More Accurately Than Clinicians?
Using a prospective cohort design, the aim of this study is to compare the performance of clinicians with prediction models in triaging trauma patients.
- Trial name
- NCT02838459
- Where
- India
- Volunteers
- 5,155 people
- Sponsor
- Karolinska Institutet
Oxygen Consumption, Cardiorespiratory Fitness
A Study on Cardiopulmonary Exercise Tolerance Standards for Healthy Chinese Population
This project intends to conduct a large-sample, prospective, multicenter clinical cohort study in healthy populations. By utilizing a digital cardiopulmonary rehabilitation clinical data research platform, The investigators aim…
- Trial name
- MCCS-CCPETS (NCT07108296)
- Testing
- cardiopulmonary exercise testing (CPET)
- Where
- 15 sites in China
- Volunteers
- 4,620 people, healthy volunteers welcome
- Sponsor
- Affiliated Hospital of Changchun University of Chinese Medicine
Ovarian Cancer
Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids
The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict…
- Trial name
- NCT06317610
- Testing
- growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Chongqing University Cancer Hospital
Venous Thromboembolism, Prediction Models
Development and Validation of an Interpretable Machine Learning Model for Predicting Venous Thromboembolism（VTE）in Intensive Care Unit (ICU) Patients
Venous thromboembolism remains a leading cause of preventable mortality in intensive care unit (ICU) patients. Existing risk-stratification tools were developed in general medical populations and lack ICU-specific predictors.
- Trial name
- NCT07596264
- Testing
- no intervention
- Where
- China
- Volunteers
- 12,061 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Ovarian Cyst
Assessment of Ovarian Cysts Using Machine Learning
The study aims at creating a prediction model using machine learning algorithms that is capable of predicting malignant potential of ovarian cysts/masses based on patient characteristics, sonographic findings, and biochemical…
- Trial name
- OCID (NCT05342298)
- Testing
- prediction model
- Where
- 2 sites in Egypt
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Assiut University
Risk Factors
Establishment of Risk Factors Model of Drug-induced Coagulation Disorder Caused by Cefoperazone Sulbactam Sodium
The incidence rate of drug-induced blood diseases accounts for about 10% of all drug-induced diseases, most of which are serious at the time of onset, and the mortality rate can be as high as 32.5%.
- Trial name
- NCT05535309
- Testing
- cefoperazone sulbactam sodium
- Where
- China
- Volunteers
- 8,000 people
- Sponsor
- Qianfoshan Hospital