Clinical trials: Risk Prediction Model
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
Diabetes Mellitus, Pre Diabetes
Development and Validation of DM and Pre-DM Risk Prediction Model
Many DM and pre-DM remain undiagnosed. The aim is to develop and validate a risk prediction function to detect DM and pre-DM in Chinese adults aged 18-84 in primary care (PC). The objectives are to: 1.
- Trial name
- NCT04881383
- Testing
- OGTT and HbA1c
- Where
- Hong Kong
- Volunteers
- 1,014 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Diabetes Mellitus, Cardiovascular Diseases
10-year Risk Prediction Models of Complications and Mortality of DM in Hong Kong
Diabetes Mellitus (DM) is a well-recognized public health issue worldwide. DM can lead to many complications resulting in morbidity and mortality, approximately 70% of DM related deaths were attributed to cardiovascular diseases…
- Conditions
- Diabetes Mellitus, Cardiovascular Diseases, Mortality, Primary Health Care
- Trial name
- NCT03299010
- Where
- 2 sites in China, Hong Kong
- Volunteers
- 141,516 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Age-related Hearing Loss
Prediction of Age-Related Hearing Loss Based on Comprehensive Risk Factors
This study aims to develop a predictive model for age-related hearing loss (ARHL) based on multi-source risk factors and artificial intelligence techniques.
- Trial name
- NCT07612618
- Testing
- Not applicable- observational study
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Chinese PLA General Hospital
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
Accidental Fall, Fall
Development of a Multivariable Prognostic PREdiction Model for 1-year Risk of FALLing in Community-dwelling Older Adults in a Non-clinical Setting
Falls in community-dwelling older adults is a frequent problem with an incidence of 30 % in over-65s and 50 % in over-80s. Incidences are expected to increase significantly in the future due to population aging.
- Trial name
- PREFALL (NCT03608709)
- Where
- 5 sites in Denmark
- Volunteers
- 241 people, healthy volunteers welcome
- Sponsor
- Aalborg University Hospital
Chronic Disease, Risk Assessment
Adult Disease Risk Prediction Using Wearables, Hearing, and Health Data
This prospective cohort study aims to develop and validate a personalized disease risk prediction model for adults by integrating multiple sources of health data.
- Trial name
- NCT07541547
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Health Research Institutes, Taiwan
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
Prediction of High-risk Populations for Sarcopenia
Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App
We evaluated a model for the prediction of high-risk populations for sarcopenia in home settings, developed a sarcopenia nursing guidance mobile application, and assessed the effectiveness of this application in influencing…
- Trial name
- NCT05363033
- Testing
- sarcopenia nursing guidance mobile application was developed
- Where
- Taiwan
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- National Taipei University of Nursing and Health Sciences
Heart Failure, Heart Failure With Reduced Ejection Fraction
AI-ECG for Time-Resolved Prediction of HFrEF
This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF).
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Left Ventricular Dysfunction, Cardiac Remodeling
- Trial name
- NCT07519434
- Where
- China
- Volunteers
- 286,709 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Chronic Heart Failure, Heart Failure With Reduced Ejection Fraction (HFrEF)
Precision Subtyping and Prognostic Study of Heart Failure Based on Multi-Omics Integration and Clinical Indicators: A Prospective Single-Center Cohort Study
This is a prospective single-center cohort study conducted at The First Affiliated Hospital of Xinjiang Medical University, aiming to enroll 400 patients with chronic heart failure (including HFrEF, HFmrEF, HFpEF) and 200 healthy…
- Conditions
- Chronic Heart Failure, Heart Failure With Reduced Ejection Fraction (HFrEF), Heart Failure With Preserved Ejection Fraction (HFPEF), Heart Failure With Mildly Reduced Ejection Fraction (HFmrEF)
- Trial name
- HF-MultiOmics (NCT07355088)
- Where
- China
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Xinjiang Medical University
Cervical Cancer Screening, Risk Assessment
Model Study on Cervical Cancer Screening Strategies and Risk Prediction
By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a…
- Conditions
- Cervical Cancer Screening, Risk Assessment, Artificial Intelligence, Machine Learning
- Trial name
- NCT06204133
- Testing
- Artificial intelligence model building
- Where
- 7 sites in China
- Volunteers
- 1,112,846 people, healthy volunteers welcome
- Sponsor
- Fujian Maternity and Child Health Hospital
High-risk, Bipolar Disorder
A Cohort Study of Disease Prediction Model for High-risk Population With Bipolar Disorder
Bipolar disorder (BD) is a serious, complicated, familial aggregation onset of mental illness, which has the characteristics of five-low and one-high, namely high prevalence, high recurrence rate, high morbidity and mortality…
- Conditions
- High-risk, Bipolar Disorder, Atypical Depression
- Trial name
- DPM-rBD (NCT07031661)
- Testing
- This was an observational study with no intervention.
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
Sport Injury, Hamstring Injury
System Dynamics Model for Acute Non-contact Lower Extremity Injuries Prediction
Despite the extensive research on prevention and prediction strategies, hamstrings strains injury (HSI) persists at a high rate in team sports and specifically in football.
- Conditions
- Sport Injury, Hamstring Injury, Risk Factors, Interaction
- Trial name
- SDLE (NCT05425303)
- Testing
- Exposure to risk for injury
- Where
- Greece
- Volunteers
- 99 people, healthy volunteers welcome
- Sponsor
- University of Patras
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
Gastric Cancer (GC), Premalignant Lesion
AI-Based Risk Prediction Model for Upper Digestive Tract Cancer
Upper digestive tract cancers are often preceded by pre-malignant lesions, but there is limited evidence regarding optimal risk prediction models and screening strategies for disease progression and cancer development.
- Conditions
- Gastric Cancer (GC), Premalignant Lesion, Gastric Intestinal Metaplasia, Atrophic Gastritis
- Trial name
- NCT07605312
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
HIV Infections, Preexposure Prophylaxis (PrEP)
Clinical Decision Support for PrEP
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the federal initiative to end the HIV epidemic. However, healthcare providers lack tools to identify patients who are at increased risk for HIV infection and…
- Trial name
- PrEDICT (NCT05245201)
- Testing
- Standard of care, Clinical decision support for PrEP
- Where
- 3 sites in United States
- Volunteers
- 4 people, healthy volunteers welcome
- Sponsor
- Harvard Pilgrim Health Care
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
Hypopharyngeal Cancer, Laryngeal Cancer
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions
This study aims to develop and validate a clinical prediction model for the risk of head and neck cancerous lesions using deep learning combined with AI algorithms, based on multi-center clinical data.
- Conditions
- Hypopharyngeal Cancer, Laryngeal Cancer, Head and Neck Cancer
- Trial name
- ML-HNC-Risk (NCT07532538)
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
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