Basketball PerformanceNCT07677371
Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players
An observational study of Basketball Performance and Sports Injury Risk, run by Istanbul Gelisim University at 1 site in Turkey (Türkiye).
Trial summary
This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence (AI)-based analysis. Read more about this study
- Who is it for?
- Ages 12 to 18 years, men onlyHealthy volunteers can take part
- Conditions the study is for
- Basketball Performance, Sports Injury Risk, Lower Extremity Performance
- What is being tested?
- Lower Extremity Performance Assessment
- How many people
- 81 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 15 May 2026to 22 May 2026
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 12 to 18 years
- Men only
- Healthy volunteers accepted
- Child, Adult
Study population: The study population consists of youth male basketball players competing at the developmental level. Participants are recruited from basketball clubs and youth training programs and are classified according to their primary playing position, including point guard, shooting guard/small forward, power forward, and center.
Who may be able to join
- Male basketball players aged 12 to 18 years.
- Registered youth basketball athletes.
- Participation in regular basketball training for at least 1 year.
- Participation in basketball training at least 3 times per week.
- No acute lower extremity injury affecting performance testing within the previous 6 months.
- Ability to understand and follow testing instructions.
- Written informed consent provided by a parent or legal guardian and assent provided by the participant.
Who cannot join
- Lower extremity surgery within the previous 6 months.
- Acute musculoskeletal injury affecting test performance.
- Neurological, vestibular, or severe orthopedic conditions affecting balance, coordination, or motor performance.
- Pain, illness, fatigue, or any health condition that could affect performance on the assessment day.
- Cardiovascular or systemic conditions preventing completion of the testing protocol.
- Incomplete performance testing data or technically invalid measurements.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Position-Specific Lower Extremity Performance and Artificial Intelligence-Based Injury Risk Analysis in Young Male Basketball Players
This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence (AI)-based analysis. Basketball requires frequent jumping, sprinting, rapid changes of direction, acceleration, deceleration, and single-leg movements, all of which place significant demands on lower extremity function.
Participants will undergo a single assessment session including anthropometric measurements and performance tests such as countermovement jump, reactive strength testing, single-leg performance tests, and agility assessments. Information regarding previous lower extremity injuries, training history, and playing position will also be collected.
Read more
The study will compare performance characteristics among different basketball positions, including guards, forwards, and centers. In addition, AI and machine learning techniques will be used to analyze the collected performance data and identify patterns associated with injury risk. The purpose of the AI analysis is not to diagnose injuries but to investigate whether combinations of performance variables can help identify athletes who may demonstrate higher-risk movement or performance profiles.
The findings may contribute to the development of position-specific training strategies, individualized performance monitoring, and evidence-based injury prevention approaches in youth basketball players.
- Conditions
- Basketball Performance, Sports Injury Risk, Lower Extremity Performance, Athletic Performance, Injury Prevention, Youth Basketball Players
- Being tested
- Lower Extremity Performance Assessment
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Lower Extremity Performance AssessmentDiagnostic test
Participants will complete lower extremity performance tests including countermovement jump, reactive strength index testing, single-leg performance tests, and agility/change-of-direction assessments. Performance data will be analyzed using artificial intelligence-based methods to explore injury risk patterns.
| Study group | Role | What they receive |
|---|---|---|
| Point Guard Players | Young male basketball players whose primary playing position is point guard. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. Receives: Diagnostic Test: Lower Extremity Performance Assessment | |
| Shooting Guard / Small Forward Players | Young male basketball players whose primary playing position is shooting guard or small forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysi Receives: Diagnostic Test: Lower Extremity Performance Assessment | |
| Power Forward Players | Young male basketball players whose primary playing position is power forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. Receives: Diagnostic Test: Lower Extremity Performance Assessment | |
| Center Players | Young male basketball players whose primary playing position is center. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. Receives: Diagnostic Test: Lower Extremity Performance Assessment |
What is being measured
The primary outcome is the main question the study is designed to answer.
Countermovement Jump Height
Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.
Measured: Baseline assessment (single session)
Reactive Strength Index (RSI)
Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
Measured: Baseline assessment (single session)
AI-Based Injury Risk Classification Score
Injury risk profile generated using artificial intelligence and machine learning algorithms based on lower extremity performance variables, asymmetry measures, agility performance, and injury history.
Measured: Baseline assessment (single session)
Secondary outcomes (6)
Single-Leg Hop Performance
Distance and performance outcomes obtained from right and left single-leg hop tests used to evaluate unilateral lower extremity function and limb asymmetry.
Measured: Baseline assessment (single session)
Time to Complete the T-Test Agility Assessment (seconds)
Time required to complete the standardized T-Test agility assessment. Lower completion times indicate superior agility and change-of-direction ability in young basketball players.
Measured: Baseline assessment (single session)
Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)
Limb Symmetry Index (LSI) calculated as the ratio between dominant and non-dominant lower extremity performance during the single-leg countermovement jump test. Values closer to 100% indicate greater inter-limb symmetry.
Measured: Baseline assessment (single session)
Previous Lower Extremity Injury History
Self-reported history of lower extremity injuries occurring within the previous 12 months.
Measured: At study enrollment
Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)
Countermovement jump height obtained from the D-Wall Athlete Performance System and compared among point guards, shooting guards/small forwards, power forwards, and centers.
Measured: Baseline
Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)
Acceleration and deceleration performance scores generated by the D-Wall Athlete Performance System during athletic performance testing. These scores quantify the athlete's ability to rapidly increase and decrease movement velocity.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted30 Jun 2026
- Study start15 May 2026
- Primary completion22 May 2026
- Study completion22 May 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Basketball PerformanceStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 81 participants (actual)
Sponsor and investigators
- Lead sponsor
- Istanbul Gelisim University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07677371
- Sponsor's protocol ID
- IGU-SINTECH-BASKET-AI-2026-01
- Status last verified
- Jun 2026
- First submitted
- 18 Jun 2026
- Last updated
- 30 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Guven E, Seyhan S, Tasman GA, Acar G, Bilici MF. Position-specific lower extremity performance and machine learning-based injury-risk screening classification in adult male basketball players: a random forest and SHAP approach. BMC Sports Sci Med Rehabil. 2026 Sep 9;18(1):446. doi: 10.1186/s13102-026-02033-9.
PubMed 42800880
Study at a glance
From the registry record, last updated by the sponsor on 30 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Position-Specific Lower Extremity Performance and Artificial Intelligence-Based Injury Risk Analysis in Young Male Basketball Players
- ClinicalTrials.gov ID
- NCT07677371
- Acronym / sponsor ID
- IGU-SINTECH-BASKET-AI-2026-01
- Conditions
- Basketball Performance, Sports Injury Risk, Lower Extremity Performance, Athletic Performance, Injury Prevention, Youth Basketball Players
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 81 participants (actual)
- Lead sponsor
- Istanbul Gelisim UniversityUniversity, hospital or other
- Study start
- 15 May 2026 (actual)
- Primary completion
- 22 May 2026 (actual)
- Study completion
- 22 May 2026 (actual)
- First posted
- 30 Jun 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence (AI)-based analysis. Basketball requires frequent jumping, sprinting, rapid changes of direction, acceleration, deceleration, and single-leg movements, all of which place significant demands on lower extremity function.
Participants will undergo a single assessment session including anthropometric measurements and performance tests such as countermovement jump, reactive strength testing, single-leg performance tests, and agility assessments. Information regarding previous lower extremity injuries, training history, and playing position will also be collected.
The study will compare performance characteristics among different basketball positions, including guards, forwards, and centers. In addition, AI and machine learning techniques will be used to analyze the collected performance data and identify patterns associated with injury risk. The purpose of the AI analysis is not to diagnose injuries but to investigate whether combinations of performance variables can help identify athletes who may demonstrate higher-risk movement or performance profiles.
The findings may contribute to the development of position-specific training strategies, individualized performance monitoring, and evidence-based injury prevention approaches in youth basketball players.
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Point Guard Players | – | Diagnostic Test: Lower Extremity Performance AssessmentYoung male basketball players whose primary playing position is point guard. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. |
| Shooting Guard / Small Forward Players | – | Diagnostic Test: Lower Extremity Performance AssessmentYoung male basketball players whose primary playing position is shooting guard or small forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysi |
| Power Forward Players | – | Diagnostic Test: Lower Extremity Performance AssessmentYoung male basketball players whose primary playing position is power forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. |
| Center Players | – | Diagnostic Test: Lower Extremity Performance AssessmentYoung male basketball players whose primary playing position is center. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis. |
Who may qualify
- Ages
- 12 to 18 years
- Sex
- Male only
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult
- Study population
- The study population consists of youth male basketball players competing at the developmental level. Participants are recruited from basketball clubs and youth training programs and are classified according to their primary playing position, including point guard, shooting guard/small forward, power forward, and center.
Key inclusion criteria (7 listed)
- Male basketball players aged 12 to 18 years.
- Registered youth basketball athletes.
- Participation in regular basketball training for at least 1 year.
- Participation in basketball training at least 3 times per week.
- No acute lower extremity injury affecting performance testing within the previous 6 months.
Key exclusion criteria (6 listed)
- Lower extremity surgery within the previous 6 months.
- Acute musculoskeletal injury affecting test performance.
- Neurological, vestibular, or severe orthopedic conditions affecting balance, coordination, or motor performance.
- Pain, illness, fatigue, or any health condition that could affect performance on the assessment day.
- Cardiovascular or systemic conditions preventing completion of the testing protocol.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Lower Extremity Performance AssessmentParticipants will complete lower extremity performance tests including countermovement jump, reactive strength index testing, single-leg performance tests, and agility/change-of-direction assessments. Performance data will be analyzed using artificial intelligence-based methods to explore injury risk patterns. | Diagnostic test | Center Players, Point Guard Players, Power Forward Players, Shooting Guard / Small Forward Players |
Primary outcome
Countermovement Jump Height
Time frame: Baseline assessment (single session)
Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.
Reactive Strength Index (RSI)
Time frame: Baseline assessment (single session)
Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
AI-Based Injury Risk Classification Score
Time frame: Baseline assessment (single session)
Injury risk profile generated using artificial intelligence and machine learning algorithms based on lower extremity performance variables, asymmetry measures, agility performance, and injury history.
6 secondary outcomes
Single-Leg Hop Performance
Time frame: Baseline assessment (single session)
Time to Complete the T-Test Agility Assessment (seconds)
Time frame: Baseline assessment (single session)
Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)
Time frame: Baseline assessment (single session)
Previous Lower Extremity Injury History
Time frame: At study enrollment
Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)
Time frame: Baseline
Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)
Time frame: Baseline
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 30 Jun 2026.
- Derived from this study: PubMed 42800880Guven E, Seyhan S, Tasman GA, Acar G, Bilici MF. Position-specific lower extremity performance and machine learning-based injury-risk screening classification in adult male basketball players: a random forest and SHAP approach. BMC Sports Sci Med Rehabil. 2026 Sep 9;18(1):446. doi: 10.1186/s13102-026-02033-9.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Basketball Performance and Sports Injury Risk, run by Istanbul Gelisim University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 30 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Countermovement Jump Height (time frame: Baseline assessment (single session)). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07677371, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 30 Jun 2026.