Clinical trials: Prediction Model
Newly-diagnosed Crohn's Disease
Development and Validation of a Nomogram for Predicting Surgery in Newly-diagnosed Crohn's Disease: a Retrospective Cohort Study
A majority of patients with Crohn's disease undergo surgery during the disease course. We aimed to develop an easily available nomogram to predict the risk of surgery at diagnosis.
- Trial name
- NCT06457035
- Testing
- immunosuppressant
- Volunteers
- 490 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen 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
Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's…
- Conditions
- Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
- Trial name
- NCT06088134
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Mingzhao Xiao
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
Traumatic Brain Injury (TBI)
Prognostic Model for Predicting Outcome After Moderate to Severe Paediatric Traumatic Brain Injury
Due to ethical and logistical challenges related to paediatric research, there is limited age-appropriate evidence for managing paediatric traumatic brain injury (pTBI).
- Trial name
- PROMPT (NCT07538440)
- Where
- United Kingdom
- Volunteers
- 2,000 people
- Sponsor
- Cambridge University Hospitals NHS Foundation Trust
Hepatocellular Carcinoma
Construction of a Recurrence Risk Prediction Model for Liver Resection Based on Drug Sensitivity of Patient-derived Hepatocellular Carcinoma Organoid
Liver cancer is the sixth most common malignant tumor worldwide and the third leading cause of cancer-related deaths. China is a high-risk area for liver cancer, accounting for approximately 55% of primary liver cancer worldwide.
- Trial name
- NCT06699524
- Testing
- in vitro （chemotherapy）, Adjuvant TACE（Adjuvant Transarterial Chemoembolization）
- Where
- China
- Volunteers
- 122 people
- Sponsor
- Shen Feng
Surgical Site Infection (SSI), Central Nervous System Tumor
A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery
1. Study Background For patients undergoing brain or spinal tumor surgery, postoperative surgical wound infection (known as "surgical site infection," SSI) is a recognized risk.
- Trial name
- NCT07378683
- Testing
- ML-Based Enhanced Intervention Package for SSI Prevention, Standard Postoperative Care
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Ming Yang
Neonatology
Optimization and Clinical Study of Early Prediction Model for Neonatal Acute Respiratory Distress Syndrome
The goal of this observational study is to learn about neonatal acute respiratory distress syndrome in describe participant population.
- Trial name
- NCT05647850
- Testing
- No intervention
- Where
- 2 sites in China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- University-Town Hospital of Chongqing Medical University
Plasticizers
Develop a Risk Prediction Model for Phthalate-ester-induced Diseases
This exploratory study collected basic demographic and laboratory data from the Taiwan Biobank using artificial intelligence algorithms and applied data mining to identify the correlations between phthalate esters…
- Trial name
- NCT05892029
- Where
- 2 sites in Taiwan
- Volunteers
- 1,136 people, healthy volunteers welcome
- Sponsor
- National Taipei University of Nursing and Health Sciences
Real-world Study
AI-Assisted Medical Decision-Making
The study builds and applies an AI model to help doctors predict patient diagnoses and outcomes, such as survival or hospital stay.
- Trial name
- NCT06846229
- Testing
- AI-associated strategy
- Where
- 2 sites in China
- Volunteers
- 50,000,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Obesity, Type 2 Diabetes Mellitus
Radiomics of Intra-abdominal and Subcutaneous Adipose Tissue Predict the Efficacy of Bariatric Surgery (RISABS)
Using radiomics of intra-abdominal and subcutaneous adipose tissue and clinical features to predict the weight loss efficacy and remission of type 2 diabetes mellitus after bariatric surgery.
- Conditions
- Obesity, Type 2 Diabetes Mellitus, Bariatric Surgery
- Trial name
- NCT06169033
- Where
- China
- Volunteers
- 800 people
- Sponsor
- China-Japan Friendship Hospital
Anemia, Bariatric Surgery
Prediction Model for Anemia After Bariatric Surgery
To develop and validate a prediction model for estimating the short and long-term risk of anemia after bariatric surgery.
- Trial name
- NCT06170749
- Where
- China
- Volunteers
- 600 people
- Sponsor
- China-Japan Friendship Hospital
Machine Learning, Cardiovascular Outcome
PACT Involvement in Cardiology Patients
The goal of this trial is to determine the effectiveness of a machine-learning (ML) model predicting a serious cardiac event within the next three months, when compared pre- versus post-deployment, in pediatric cardiac…
- Conditions
- Machine Learning, Cardiovascular Outcome, Pediatric Palliative Care, Pediatric Cardiology
- Trial name
- NCT06886529
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 1,000 people
- Sponsor
- The Hospital for Sick Children
Attention Deficit Hyperactivity Disorder
Event Rate and Effects of Stimulants in ADHD
Stimulants alleviate information processing and task performance deficits in Attention Deficit/Hyperactivity Disorder (ADHD). Long acting formulations of amphetamines such as lisdexamphetamine dimesylate (LDX) are especially…
- Trial name
- ERESA (NCT01913912)
- Testing
- LDX., sugar pill, computer task (Go/No-Go task)
- Where
- 2 sites in Belgium
- Volunteers
- healthy volunteers welcome
- Sponsor
- University Ghent
In-Hospital Cardiac Arrest
Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit
Current studies have shown that hospitalized ICU patients have a high risk of IHCA, with an incidence of about 0.6-7.8%. Early prediction of the occurrence of IHCA in severe patients can provide early intervention, prevent the…
- Trial name
- NCT04670458
- Testing
- no intervention
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Qilu Hospital of Shandong University
Preeclampsia, Fullpairs
fullPIERS Model in the Prediction of Adverse Maternal Outcomes in Preeclampsia
Apredictive formula, fullPIERS (Pre-eclampsia Integrated Estimate of Risk Score), can be used to estimate the risk of suffering an adverse outcome using information obtained within 48 hours of admission with pre-eclampsia.
- Trial name
- Aprospective (NCT07316140)
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Sohag University
Crohn's Disease, Intestinal Tuberculosis
Development of a Prediction Model for Differential Diagnosis Between Intestinal Tuberculosis and Crohn's Disease
The aim of this study is to develop a scoring system and a prediction model for differential diagnosis between intestinal tuberculosis and Crohn's disease.
- Trial name
- NCT01392365
- Where
- South Korea
- Volunteers
- 117 people
- Sponsor
- Asan Medical Center
Renal Transplanted Recipients, Kidney Function
Renal Function Prediction in Living Donor Transplant Using Baseline Data
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients.
- Trial name
- NCT06728995
- Where
- South Korea
- Volunteers
- 3,500 people
- Sponsor
- Seoul National University Hospital
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
Postoperative Death
Descriptive and Risk Factors Analysis of All-cause Postoperative Death in Patients Undergoing Cardiovascular Surgery
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after cardiac and vascular surgery.
- Trial name
- NCT04926012
- Where
- 5 sites in China
- Volunteers
- 100,000 people
- Sponsor
- Huazhong University of Science and Technology