A randomised controlled trial investigating efficacy of a novel toothpaste containing calcium silicate and sodium phosphate in dentine hypersensitivity pain reduction compared to a fluoride control toothpaste

Journal of Dentistry(2020)

引用 12|浏览5
暂无评分
摘要
Objectives To compare a calcium silicate and sodium phosphate toothpaste (CSSP) with a fluoride negative control toothpaste for dentine hypersensitivity (DH) pain reduction after 14, 28 and 29 days. Methods This was a double blind, parallel study in 247 healthy adults with DH (Schiff score >2, tactile 10−20 g) in 2 teeth in different quadrants of the mouth. After acclimatisation, participants were randomised to CSSP or control toothpaste. After measuring baseline sensitivity products were applied twice-daily by toothbrushing, and once daily massaging into the sensitive teeth. Sensitivity was assessed following airblast (Schiff and VAS) and tactile (Yeaple probe) stimuli at baseline, 14 and 28 days, and at 29 days, 12 h after last product application. Participants completed a quality of life questionnaire at each study visit up to day 28. Results After 14, 28 and 29 days the CSSP group had significantly lower Schiff, lower VAS and higher Yeaple probe scores compared to control (VAS at 14 days, p < 0.04; all other comparisons, p < 0.001). Quality of life scores improved in both groups, but no significant differences between groups were observed. Conclusions The CSSP toothpaste was more effective than the fluoride control toothpaste at reducing DH pain with benefit persisting 12 h following application. Clinical Significance This novel calcium silicate and sodium phosphate toothpaste (CSSP) toothpaste is an effective twice-daily treatment when brushed on the teeth for dentine hypersensitivity sufferers compared to brushing with a conventional fluoride paste. Twice-daily brushing provides a sustained effect for long-lasting pain relief from dentine hypersensitivity.
更多
查看译文
关键词
Dentine hypersensitivity,Calcium silicate and sodium phosphate,Occlusion,Toothpaste,Pain
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要