Clinical trials: Prediction Model
Pulmonary Arterial Hypertension
Algorithms to Diagnose Pulmonary Arterial Hypertension
The investigators intend to evalute the value of radiomics signature of pulmonary vessels from chest computed tomography (CT) for dianosis and prognosis of pulmonary arterial hypertension.
- Trial name
- NCT05417373
- Testing
- calculated radscore
- Where
- China
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- RenJi Hospital
Bowel Preparation, Colonoscopy
Validation of a Prediction Model for Inadequate Bowel Preparation
We have developed a novel inadequate bowel preparation prediction model based on a systematic review and meta-analysis. The goal of this multicenter observational study is to validate the accuracy of this model.
- Trial name
- NCT06438237
- Testing
- Bowel preparation before colonoscopy
- Where
- China
- Volunteers
- 2,360 people, healthy volunteers welcome
- Sponsor
- General Hospital of Shenyang Military Region
Gait
Development of Fall Prediction Model for Older Adults Based on Multi-faceted Data
This study aimed to develop a fall prediction model for older adults by measuring the multi-faceted biosignal data to classify the walking patterns and by identifying causal relationships with the variables that affect the fall.
- Trial name
- NCT04723927
- Testing
- Older adults
- Where
- South Korea
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Samsung Medical Center
Lung Cancer (Diagnosis), Non-Small Cell Lung Cancer
Lung Cancer Screening in Population Who Had Never Smoked
Study design: prospective, single arm. Objectives: survey lung cancer detection rate of low-dose computed tomography (LDCT) screening in individuals who had never smoked.
- Conditions
- Lung Cancer (Diagnosis), Non-Small Cell Lung Cancer, Small Cell Carcinoma of Lung, Screening Strategy
- Trial name
- NCT07383454
- Testing
- Low dose computed tomography
- Volunteers
- 2,500 people, healthy volunteers welcome
- Sponsor
- Chung Shan Medical University
Cervical Myelopathy
Machine Learning Diagnosis and Prediction for Cervical Myelopathy
DESIGN: Ambispective cohort study (retrospective + prospective). AIMS: The overall aim of this research study is to create two predictive machine learning models that are based on radiological, clinical and biochemical variables…
- Trial name
- MCM (NCT05099627)
- Testing
- The questionnaire "Cervical myelopathy treatment outcome questionnaire", The retrospective questionnaire "CSM early diagnosis questionnaire", JOACMEQ questionnaire and mJOA
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Imperial College Healthcare NHS Trust
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
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
Metachronous Colorectal Adenoma
Construction of a Prediction Model for Metachronous Colorectal Adenoma
The study aimed to explore the independent risk factors for the metachronous colorectal adenoma after endoscopic resection, and construct the prediction model of metachronous colorectal adenoma, in order to provide theoretical…
- Trial name
- NCT05183438
- Where
- China
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
Thyroid Associated Ophthalmopathy
Establishment of Multiparametric Prediction Models for Moderate to SevereThyroid Associated Ophthalmopathy
Thyroid-associated ophthalmopathy (TAO) is an organ-specific autoimmune disease closely related to thyroid disease, which leads the incidence of orbital disease in adults and is the most common cause of diffuse toxic goiter…
- Trial name
- NCT06590220
- Where
- China
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- Shanghai Changzheng Hospital
Anxiety Depression
Development of the Neuroimaging Biomarker-based Prediction Model of Anxiety-related Disorders: Effect of Mindfulness-based Cognitive Therapy Using Neuroscience on the Brain
The purpose of this study designed a randomized clinical trial is to determine the efficacy of an 8-week mindfulness-based cognitive therapy using neuroscience (NMBCT) to reduce anxiety or depressive symptoms among adult…
- Trial name
- NCT05911412
- Testing
- Mindfulness-based cognitive therapy using neuroscience (NMBCT)
- Volunteers
- 64 people, healthy volunteers welcome
- Sponsor
- CHA University
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
Gingival Recessions
AI-Based Prediction of Root Coverage Outcome From Intraoral Photographs
This study evaluates whether the outcome of root coverage surgery can be predicted from a preoperative intraoral photograph. Adults with Cairo RT1,RT2 or RT3 gingival recessions treated with a coronally advanced flap and a…
- Trial name
- NCT07775365
- Testing
- Coronally advanced flap with subepithelial connective tissue graft, Deep learning based prediction of root coverage outcome
- Where
- Turkey (Türkiye)
- Volunteers
- 36 people, healthy volunteers welcome
- Sponsor
- Marmara University
Colonoscopy
A Pre-endoscopic Prediction Model for Inadequate Bowel Preparation in Patients Receiving Split Dose Polyethylene Glycol Preparation
After written consent for participating in clinical research studies, all clinical studies conducted to in the one day. The investigators will ask and record about bowel cleansing state in all patients who performed colonoscopy.
- Trial name
- NCT02174601
- Where
- South Korea
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Yonsei University
Sepsis, Early Diagnosis
The Biomarker Prediction Model of Septic Risk in Infected Patients
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Sepsis is associated with high mortality because of the complex mechanisms.
- Conditions
- Sepsis, Early Diagnosis, Biomarkers
- Trial name
- NCT05095324
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Sepsis
Establishment of Early Diagnosis and Monitoring Model for Sepsis Patients
In recent years, although the clinical treatment of sepsis has been greatly improved, it is still an important cause of death in ICU patients, and seriously threatens human health.
- Trial name
- EDAMMFS (NCT04974411)
- Testing
- infection, sepsis
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Diabetes Mellitus
Prediction to Detect Pre-DM/DM in a Chinese Population
This project will compare the sensitivity and specificity of different screening criteria or recommendations to detect pre-diabetes or diabetes mellitus in a Chinese population, using point-of-care hemoglobin A1c.
- Trial name
- NCT05116319
- Testing
- point-of-care HbA1c
- Where
- Hong Kong
- Volunteers
- 1,901 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Ischemic Stroke, Upper Limb Motor Impairment
Neurophysiological Markers for Prediction of Rehabilitation Outcomes After Ischemic Stroke
The goal of this randomized controlled study is to develop and validate an integrated neurophysiological model for predicting rehabilitation potential in patients with ischemic stroke.
- Trial name
- NCT07520630
- Testing
- Intermittent Theta Burst Stimulation
- Where
- Russia
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Moscow Scientific and Practical Center of Medical Rehabilitation, Restorative and Sports Medicine
Coronary Heart Disease (CHD), Heart Failure
a Foundational Model for Cardiovascular Disease Diagnosis and Prediction
The goal of this observational study is to develop and evaluate the efficacy of a foundational model that integrates multimodal medical data to improve the diagnosis and prediction of cardiovascular diseases in patients aged 18…
- Conditions
- Coronary Heart Disease (CHD), Heart Failure, Arrhythmias, Valvular Heart Disease
- Trial name
- NCT06591923
- Testing
- No Interventions
- Where
- China
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Labor, Induced, Labor, Obstetric
Prediction of Spontaneous Onset of Labor at Term
The study intends to develop a predictive model of spontaneous onset of labor between 39 and 41 weeks of pregnancy in women carrying singletons and without indication of delivery before this date.
- Conditions
- Labor, Induced, Labor, Obstetric, Labor Onset, Predictive Model
- Trial name
- PREDICT (NCT05109247)
- Where
- 3 sites in Switzerland
- Volunteers
- 429 people, healthy volunteers welcome
- Sponsor
- University Hospital, Geneva