Should the use of smoking cessation products be promoted by dental offices? An evidence-based report.
Bibliographic record
Abstract
To address the issue of whether dentists should promote the use of smoking cessation products, an evidence-based methodology was applied to find answers to 3 questions: Does tobacco use affect periodontal health? Are dentists effective cessation counsellors? Do smoking cessation products improve the effectiveness of cessation interventions? MEDLINE and manual searches uncovered relevant evidence to use in developing evidence-based recommendations. There is fair evidence that tobacco use is a major factor in the progression and treatment outcome of adult periodontitis and that quitting tobacco use is beneficial to periodontal health. There is good evidence to recommend that oral health professionals provide cessation counselling. There is good evidence to recommend the use of smoking cessation adjuncts. In view of the strong supporting evidence, dental offices should incorporate systematic smoking cessation services into routine patient care and should promote the use of proven cessation products by patients who are attempting to quit.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".