Online self-check to identify your gum disease risk and guide preventive care
Official title: Development and Validation of a Self-assessment Tool for Periodontal Disease Risk Assess Among the Saudi Population Using Semi-supervised Learning
Run by Universiti Sains Malaysia · NCT07410351 · Data updated 2026-11-12
This project will test whether an online questionnaire can accurately identify gum disease risk in adults with natural teeth.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 393 (estimated) |
| Sponsor | Universiti Sains Malaysia Academic / other |
| Locations | 1 site (Abhā, 'Asir Region) |
| Status | Recruiting |
| Started | February 15, 2026 |
| Main results expected | August 15, 2026 |
| Study ends | October 15, 2026 |
| Registry record updated | May 5, 2026 |
| Trial ID | NCT07410351 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 or older who have natural teeth, can complete the online questionnaire independently, and can attend the Abha site for a same-visit clinical periodontal exam are ideal candidates.
✕Probably not a fit
People without natural teeth, those currently receiving periodontal therapy or who recently took systemic antibiotics, individuals unable to complete the questionnaire or attend the clinical exam, and those unwilling to tolerate the exam are unlikely to benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project enrolls adults who complete an online periodontal questionnaire about symptoms, dental history, and oral hygiene. Each participant then receives a standardized clinical periodontal examination during the same visit that is used as the reference standard and categorized as low, medium, or high risk. Questionnaire-based risk labels will be compared with the clinical findings to measure accuracy and agreement. The labeled data will also be used to inform semi-supervised machine-learning models to improve the self-assessment tool.
Why it matters
Potential benefit: If successful, the tool could help people recognize gum disease risk earlier and prompt timely dental care to prevent progression and tooth loss.
How similar studies have gone: Prior questionnaire-based self-assessments for periodontal disease have shown mixed accuracy, while applying semi-supervised machine learning to this task is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult aged 18 years or older * Able to read and understand the study information and provide informed consent * Able to complete the online questionnaire independently (on a smartphone/tablet/computer) * Willing to undergo a same-visit clinical periodontal examination * Has natural teeth present (dentate) Exclusion Criteria: * Completely edentulous (no natural teeth) * Currently undergoing active periodontal treatment (e.g., scaling and root planing) or received periodontal therapy within the past \[6 months\] * Took systemic antibiotics within the past \[3 months\] * Unable to complete the questionnaire or examination due to cognitive impairment, severe illness, or communication barriers that prevent informed consent * Refuses or is unable to tolerate the periodontal clinical examination
Where it's running
-
Abha Specialized Dental Center
Abhā, 'Asir Region, Saudi Arabia Recruiting
Study contacts
- Principal investigator: Abdulrahman Ahmed Alshehri, MS — Universiti Sains Malaysia
- Study coordinator: Abdulrahman Ahmed Alshehri, MS
- Email: alshehriabdulrahman3@student.usm.my
- Phone: 00966507090251
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Blood and saliva markers to track gum disease and healing after non-surgical cleaning
This project tries to see if a blood score (HALP), other blood inflammation markers, and salivary MMP-8 can help identify gum disease stage and predict healing after non-surgical periodontal cleaning in adults aged 18–65.
-
Examining Salivary Cytokine Levels in Different Periodontal Conditions
This study is trying to see if the levels of certain proteins in saliva can help us understand the differences in gum health between people with healthy gums, gingivitis, and periodontitis.
-
High BMI and periodontitis in Thai adults under 60
This study tests how common high BMI and periodontitis are among Thai adults aged 18–59 and what factors are linked to them.
-
Bacterial Diversity in Gum Health With Fixed vs Removable Retainers After Braces
This study tests the gum microbiome and gum health in adults after braces, comparing fixed lingual retainers to removable Essix retainers.
-
See if periodontal treatment improves chewing ability and oral quality of life
This study tests whether treating periodontitis improves how well people can chew and how they feel about their oral health.
-
Vitamin D and the body's anti-inflammatory response in gum disease
This study tests whether vitamin D can modulate the body's anti-inflammatory response in people with gum disease.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.