Clinical Research Directory
Browse clinical research sites, groups, and studies.
3 clinical studies listed.
Filters:
Tundra lists 3 Observational Cohort Study clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
This data is also available as a public JSON API. AI systems and LLMs are encouraged to use it for structured queries.
NCT07669831
Effectiveness of Extracorporeal Shockwave in Planter Fasciitis
Extracorporeal Shockwave (ESW) is a popular, non-invasive approach that arisen in line to stimulate healing via acoustic waves targeting lesion site i.e., planter fasciitis. Therefore, current clinical trial targets to determine the long-term effectiveness of ESW on Calcaneal spur in terms of quality of life, functional, and clinical manifestations, as well addressing real barriers for ESW approach among whom diagnosed with planter fasciitis.
Gender: All
Ages: 25 Years - 59 Years
Updated: 2026-07-07
1 state
NCT07676851
Clinical Risk Score Prediction for Risk of Dementia Among Late-life Population With Depression
The goal of this observational study is to learn about the ability of a point risk score prediction model, developed using electronic medical record data, to predict the risk of progression from geriatric depression to dementia in older Chinese adults. The main questions it aims to answer are: Does a higher point risk score increase the risk of developing dementia in older adults with depression? What is the accuracy of the point risk score prediction model in identifying individuals at high risk of dementia among older adults with depression? Participants will receive their usual medical care as they normally would. No new treatments, tests, or procedures will be performed specifically for this study. The research team will collect data from their electronic medical records, including depression diagnoses, dementia diagnoses, comorbidities, medication records, and follow-up information. The point risk score will be calculated based on these routinely collected clinical data.
Gender: All
Ages: 50 Years - Any
Updated: 2026-06-30
1 state
NCT07595094
Phenotypic Age Acceleration (PhenoAgeAccel) for Joint Prediction of Disease Risk, Mortality Risk, Life Expectancy, and Disease-Free Healthspan in Major Chronic Diseases
The goal of this observational study is to learn about the ability of Phenotypic Age Acceleration (PhenoAgeAccel) to predict four key health outcomes in Chinese people with or at risk of major chronic diseases: the risk of developing new chronic diseases, the risk of dying, life expectancy, and disease-free healthspan. The main questions this study aims to answer are: * Does higher PhenoAgeAccel increase the risk of developing major chronic diseases (including diabetes, dementia, cancer, and chronic respiratory diseases) in Chinese adults? * Does higher PhenoAgeAccel increase the risk of death from all causes in Chinese adults? * How do life expectancy and disease-free healthspan differ between people with high versus low PhenoAgeAccel? Who can take part in this study? Adults aged 35 or above years old who receive routine care at participating hospitals in China, have complete routine blood test data available, and have provided consent to use their health information for research purposes. What will participants go through? Participants will receive their usual medical care as they normally would. No new treatments, tests, or procedures will be performed specifically for this study. We will collect data from their medical records, including blood test results used to calculate PhenoAgeAccel, diagnoses of new diseases, and dates of death. What are the potential benefits? Participants will not receive direct personal benefits from taking part in this study. However, the information learned may help us better understand biological aging and improve future risk assessment and health management for people with chronic diseases. Is this study safe? Yes. This is an observational study that does not involve any new drugs, devices, or invasive procedures. All data used in the study will be de-identified and kept strictly confidential to protect participants' privacy.
Gender: All
Ages: 35 Years - Any
Updated: 2026-05-19
1 state