Evaluation of methodologies and additive efficacy on maxillofacial color longevity research: A systematic review and meta-analysis
Bibliographic record
Abstract
STATEMENT OF PROBLEM: The lifespan of maxillofacial silicone elastomer-based prostheses can be as short as 6 months, primarily because of sunlight-induced color degradation. Efforts to enhance color stability have led to incorporating additives that include nanoparticles, opacifiers, and ultraviolet (UV) blockers. However, variability in testing methods and the absence of standardized protocols have led to inconsistent findings, underscoring the need for uniform testing to evaluate the color stability of these materials effectively. PURPOSE: The purpose of this systematic review and meta-analysis was to assess the methodologies used in maxillofacial color longevity research and to synthesize findings on the effectiveness of additives in enhancing the color stability of pigmented silicone formulations exposed to solar radiation. MATERIAL AND METHODS: This systematic review, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, evaluated the impact of additives on color stability under solar radiation. Searches across PubMed, Web of Science, Embase, Scopus, and Cochrane databases (up to October 2024) followed the Population, Intervention, Comparator, Outcomes (PICO) criteria, limited to English-language studies. Articles were evaluated using a modified Consolidated Standards of Reporting Trials (CONSORT) guideline and quality-assessed with the Newcastle-Ottawa Scale, with high-quality studies (scoring 6 to 9) eligible for meta-analysis. A random-effects model in the RevMan Web tool was used, with heterogeneity assessed via the I² test and results presented in forest plots with 95% confidence intervals. RESULTS: A lack of standardized protocols persists in methodologies concerning specimen dimensions and pigmentation formulations, despite established weathering methods for both outdoor and artificial conditions. The meta-analysis demonstrated consistent improvements in color stability with additives under artificial weathering (P<.001), while no significant improvement was observed during a 3-month period of outdoor weathering (P=.120). High heterogeneity across studies was observed, largely associated with variability in silicone pigmentation formulations. CONCLUSIONS: Additives including nanoparticles, opacifiers, and UV blockers enhance the color stability of maxillofacial prostheses; however, the inherent stability of pigments remains a critical factor. Future research should focus on developing standardized testing methods tailored to maxillofacial applications, ensuring representativeness for prostheses and accounting for silicone formulation parameters relative to UV penetration.
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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 | 0.029 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| Bibliometrics | 0.001 | 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".