Effectiveness of Silver Diamine Fluoride for Early Childhood Caries Among Children Aged 24 to 72 Months: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Dental caries is a serious public health issue globally. It is one of the most prevalent chronic disease in children worldwide. An important public health concern is the existence of one or more decayed, missing, or filled tooth surfaces in any primary teeth of preschool children. Early childhood caries (ECC) can be halted with the use of silver diamine fluoride (SDF) solution. Previous research has indicated that it may have a preventive impact in the treatment of ECC. It is well known that 38% silver diamine fluoride (SDF) is helpful at preventing dental caries. On the other hand, there is not enough evidence on SDF's ability to prevent caries in primary teeth. To date, no well-planned clinical study has been carried out to investigate SDF's impact on caries protection. OBJECTIVE: The study's objective is to evaluate and compare the efficacy of 12%, 30%, and 38% silver diamine fluoride in preventing ECC in children aged 24 to 72 months in Mangaluru Taluk. METHODS: This is a single-center, randomized, active-controlled, parallel-group pragmatic trial. Children attending preschool in Mangalore Taluk aged 24 to 72 months will be included in the study. There will be three study groups: group 1 will receive 12% SDF semiannually; group 2 will receive 30% SDF semiannually; and group 3 will receive 38% SDF semiannually. After 6 and 12 months, the principal examiner will conduct a clinical examination of the teeth with a visual and tactile assessment. The effectiveness of the various concentrations of SDF will be determined after 12 months. RESULTS: The research was funded in September 2020, and data collection started in September 2022. As of February 2023, 150 participants have enrolled in the study. The project is still underway, and it is expected to be completed in December 2023. CONCLUSIONS: Uncertainty surrounds the efficacy of 38% SDF in preventing ECC. Consensus-Based Clinical Case Reporting (CARE) guidelines recommending the use of SDF for ECC prevention will be modified if the findings are as expected. Additionally, since the findings will be broadly disseminated, more nations will implement the use of SDF, easing the burden of ECC on the entire world. Future research on the treatment and prevention of ECC will benefit from the study results. If SDF is successful in preventing caries in a classroom or community context, it will mark an important turning point for preventive dentistry. TRIAL REGISTRATION: Clinical Trial Registry of India CTRI/2020/02/023420; https://tinyurl.com/3ju2apab. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/46144.
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 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 | 0.029 | 0.026 |
| Meta-epidemiology (narrow) | 0.007 | 0.003 |
| Meta-epidemiology (broad) | 0.015 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.067 | 0.008 |
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".