Scoping review on the association between early childhood caries and responsible resource consumption and production: exploring Sustainable Development Goal 12
Bibliographic record
Abstract
BACKGROUND: The Sustainable Development Goal 12 (SDG12) promotes patterns that minimize waste and maximize resource utilization. It is therefore plausible that preventing Early Childhood Caries (ECC) and promoting oral health can contribute to sustainable consumption. In addition, sustainable consumption and production can contribute to the control of ECC. This scoping review aimed to explore the possible evidence on the link between ECC and the SDG12 targets. METHODS: This scoping review identified articles on the link between resource consumption and production and caries according to the PRISMA-ScR guidelines. Three electronic databases (PubMed, Web of Science, and Scopus) were systematically searched in August 2023, using specific search terms. Studies written in English, with full text available, addressing dental caries and linked with waste minimization and resource utilization maximisation, with results that could be extrapolated to ECC in children less than 6 years of age) were included. Descriptive statistics were planned to summarize the categories of retrieved papers. RESULTS: The initial search yielded 904 articles, with 863 screened for eligibility after the removal of duplicates. No studies were identified that reported data on an association between responsible consumption and production of resources factors and ECC. CONCLUSION: This scoping review did not identify any articles published in English on evidence of the direct associations between ECC and SDG12 targets. However, there is a plausibility of such a link using minimum intervention dentistry for ECC management as a waste prevention and resource utilisation maximization strategy.
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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 | 0.019 | 0.079 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.022 | 0.020 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".