Clinical trial Recruiting at 1 site Observational Ages 18 and up

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.

More Periodontitis trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment393 (estimated)
SponsorUniversiti Sains Malaysia
Academic / other
Locations1 site (Abhā, 'Asir Region)
StatusRecruiting
StartedFebruary 15, 2026
Main results expectedAugust 15, 2026
Study endsOctober 15, 2026
Registry record updatedMay 5, 2026
Trial IDNCT07410351 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.