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Establishment of a classified diagnosis model of temporomandibular disorders based on quantitative sensory testing and unsupervised machine learning

Establishment of a classified diagnosis model of temporomandibular disorders based on quantitative sensory testing and unsupervised machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300067540
Enrollment
Unknown
Registered
2023-01-11
Start date
2023-01-11
Completion date
Unknown
Last updated
2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

temporomandibular disorders

Interventions

temporomandibular disorders group:N/A
Healthy control group:N/A

Sponsors

West China Stomatological Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Adult patients aged 18 to 65 years old were in accordance with the diagnosis of TMD The inclusion criteria of the healthy group: 18-55 years old, no TMD symptoms, good overall health, no history of chronic or serious diseases such as cardiovascular, liver, kidney, respiration, blood and lymph, endocrine, immunity, spirit, neuromuscle, gastrointestinal system and so on.

Exclusion criteria

Exclusion criteria: 1. currently receiving medical, physical and other forms of temporomandibular joint disorder treatment.

Design outcomes

Primary

MeasureTime frame
QST Index (PPT);QST Index (2PD);QST Index (OS);—

Countries

China

Contacts

Public Contactxin xiong

West China Stomatological Hospital, Sichuan University

drxiongxin@scu.edu.cn18428367725

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026