Drug Profile of Adult Patients Attending Five General Dental Practices in Merseyside
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the drug profile of patients attending general dental practice and to assess the significance of this for the provision of dental care. DESIGN AND SETTING: Prospective study of adult patients attending five general dental practices in Merseyside. MATERIALS AND METHODS: Patients were questioned about prescribed medication. The data were analysed to assess any potential oral side-effects, pertinent drug interactions, or potential complications of dental treatment. RESULTS: A total of 1103 patients were recruited; of these, 287 (26%) were taking systemic medication. CONCLUSION: Approximately a quarter of dental patients attending for routine dental care were taking prescribed medication. The majority of these drugs have significant implications for the general dental practitioner.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it