Silicone toothbrushes: A scoping review of an underutilized tool in global oral health
Bibliographic record
Abstract
Oral diseases are the most prevalent non-communicable diseases worldwide, affecting 3.5 billion people, with a disproportionate impact on those living in low- and middle-income countries. Despite being largely preventable through proper oral hygiene, current oral health promotion strategies rely heavily on plastic and nylon toothbrushes, which present both environmental and accessibility challenges. In response to the growing need for sustainable and affordable preventive oral health solutions, there has been increasing interest in alternatives to conventional toothbrushes. This scoping review aimed to summarize the global literature on silicone toothbrushes, an underutilized tool in preventive oral care. A systematic search of five databases, supplemented by reference screening, identified ten English-language studies investigating silicone toothbrushes. Findings suggest that silicone toothbrushes are effective in plaque removal, have a lower risk of gingival trauma, are well-suited for specific populations, and perform better in environmental impact assessments. This review also demonstrated that silicone toothbrushes remain under-researched and underutilized, highlighting the need for further high-quality studies to evaluate their effectiveness, safety, and broader implementation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.005 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".