Comparative Assessment of three Toothpastes and Prophylactic Polishing Paste as a Method of Iron Stain Removal in Primary Teeth: An in-Vitro Study.

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Research ID 6BM2O

Abstract

Aim: To compare and assess the efficacy of three toothpastes compared to prophylactic polishing paste as iron stain removal method in extracted primary teeth. Method: Sixty extracted primary anterior teeth were decoronated at cementoenamel junction, followed by filling the pulp chamber with flowable composite. The teeth were then immersed in ferrous sulphate solution and digital images were obtained. The teeth were subjected to electric tooth brushing using Colgate ?? Visible White (Group A), Himalaya ?? Sparkling White (Group B) and Biomed ?? Superwhite (Group C) toothpastes. Prophylactic polishing paste (Group D) was used as control for stain removal. Post-intervention digital images were obtained and color parameter differences (L*, a*, b *, hue, chroma and ??E) were evaluated using image color summarizer software. The data was then statistically analysed using one way ANOVA test. Intergroup analysis was done using bon ferroni multiple comparison test. Results: Significant differences in L* and b* colour parameters were obtained for Group A, B and D (p < 0.05); however, a* parameter did not show a significant change in values for any group. A significant difference was observed in terms of chroma in groups A, C and D. No significant difference was observed in hue parameter values for all four groups. Intergroup comparison of ??E revealed significant differences between groups D (p < 0.05) and group A, B and C respectively. Conclusion: A regular dental prophylaxis remains the best method for iron stain removal in children. Although newer dentifrices for stain removal are available they are not as efficient as dental prophylaxis.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    FOR CODE: WU 101.5

  • Version of record

    v1.0

  • Issue date

    06 November 2020

  • Language

    English

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