e28 Audit of the need and access to dental services in inflammatory arthritis patients
Bibliographic record
Abstract
Background: Inflammatory arthritides are chronic conditions which require a multi-disciplinary team approach to management. Rheumatoid arthritis is characterised by flares of joint pain, stiffness and fatigue and can progress to joint deformity and disability. This can affect an individual’s ability both to perform everyday dental hygiene tasks and their ability to access dental services. Previous studies have found an association between gum disease and inflammatory arthritis, specifically rheumatoid arthritis. It is therefore important that patients with inflammatory arthritis have easy access to dental care and information on good dental hygiene. This audit aimed to assess the need and use of dental services in patients with inflammatory arthritis in an inner city tertiary hospital outpatient clinic setting. Methods: Patients with inflammatory arthritis who presented to general rheumatology outpatients over a period of 3 months, were asked to complete a questionnaire. Data was then analysed using excel. Results: 35 participants completed the questionnaire. F: M ratio was 7.75:1 and mean age was 51.8 (Range 24-84). 57% patients had rheumatoid arthritis, 15% had spondyloarthropathy, 14% had psoriatic arthritis, 11% had systemic lupus erythematosus and 3% had juvenile polyarthritis. There was a high prevalence of symptoms of gum disease with 29% reporting a previous gum infection, 31% reporting their gums bled recently, 40% reporting they could see more of the roots of their teeth than in the past, 23% reporting red gums and 23% reporting missing teeth (excluding wisdom teeth). 89% patients were registered with a dentist. 74% patients had been reviewed by a dentist in the last year. 80% patients brushed their teeth at least twice a day. However, only 49% flossed at least once a day and only 40% used mouthwash at least once a day. Four of the 35 patients were awaiting treatment, two of these stated they could not undergo it due to cost constraints.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".