NCT06686147 AI-Assisted Analysis of Range of Motion in Patients With Low Back Pain
| NCT ID | NCT06686147 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Pamukkale University |
| Condition | Low Back Pain |
| Study Type | OBSERVATIONAL |
| Enrollment | 100 participants |
| Start Date | 2024-12-20 |
| Primary Completion | 2025-12-16 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 100 participants in total. It began in 2024-12-20 with a primary completion date of 2025-12-16.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
Low back pain (LBP) is a common musculoskeletal problem that is frequently encountered in the population and can occur at any age. Responsible for the loss of a full healthy year in both the 10-24 and 50-74 age groups, LBP causes significant personal and social losses and increases healthcare costs. In the classification of low back pain, pain that persists for up to 6 weeks is defined as acute, pain that lasts between 6-12 weeks is subacute, and pain that persists for more than 12 weeks is considered chronic low back pain (CLBP). Chronic LBP (CLBP) leads to fear of movement, causing patients to limit their daily activities and social participation to avoid pain. A sedentary lifestyle in LBP patients is a factor that contributes to the chronicity of the disease. While most acute LBP patients recover well within a few weeks or months, the prognosis for patients with chronic low back pain is generally poor. Approximately one-quarter of patients visiting primary care facilities develop chronic LBP. Therefore, identifying the risk factors for chronic LBP, understanding the population at risk of developing chronic LBP, identifying high-risk individuals, and implementing appropriate preventive and therapeutic measures are important. Several musculoskeletal problems have played a role as risk factors in the development of LBP, and identifying and validating these risk factors can provide a potential mechanism through which LBP can be effectively treated. Accurately identifying musculoskeletal problems and risk factors can provide a mechanism to prevent the development of LBP and reduce the socioeconomic burden associated with the condition. Machine learning (ML) is a scientific discipline that uses computer algorithms to identify patterns in large amounts of data and make predictions on new datasets based on these patterns. ML creates models to predict unknown data from historical data and allows us to select the most appropriate algorithm. Additionally, ML algorithms can extract variables that contribute to the prediction of the target variable, and differ from traditional statistical methods in enhancing the accuracy of future data predictions. ML has shown excellent performance in increasing the predictive value of medical imaging and postoperative clinical outcomes. The aim of this study is to compare the joint range of motion in patients with low back pain and healthy individuals, and to detect differences in these ranges using artificial intelligence-supported analysis methods.
Eligibility Criteria
Inclusion Criteria: * Ages 18-65 * Individuals who have experienced lower back pain for at least 3 months * Individuals who have consulted a doctor at least once due to lower back pain * Individuals who agree to participate in the study and have signed the informed consent form Exclusion Criteria: * Individuals who have undergone surgical intervention due to lower back pain * Individuals with acute traumatic injuries * Individuals with neurological or systemic diseases unrelated to the musculoskeletal system * Individuals who have received physiotherapy or surgical treatment for lower back pain in the last three months * Pregnancy
Contact & Investigator
Frequently Asked Questions
Who can join the NCT06686147 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, up to 65 Years, studying Low Back Pain. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT06686147 currently recruiting?
Yes, NCT06686147 is actively recruiting participants. Contact the research team at altugsd@gmail.com for enrollment information.
Where is the NCT06686147 trial being conducted?
This trial is being conducted at Denizli, Turkey (Türkiye).
Who is sponsoring the NCT06686147 clinical trial?
NCT06686147 is sponsored by Pamukkale University. The trial plans to enroll 100 participants.