Brave Dexter R, Langaliya Akshayraj K, Rai Jasuma S, Buch Aastha, Mahendra Muktishree, Patel Saloni
Department of Conservative Dentistry and Endodontics, K M Shah Dental College and Hospital, Sumandeep Vidyapeeth, Vadodara, Gujarat, India.
Department of Conservative Dentistry and Endodontics, AMC Dental College and Hospital, Ahmedabad, Gujarat, India.
J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S2935-S2937. doi: 10.4103/jpbs.jpbs_284_24. Epub 2024 Jun 20.
To assess the overall impact of chlorhexidine, when used as an endodontic irrigant/medicament, on post-obturation pain following endodontic treatment by the application of Bayes methods of meta-analysis. This study aimed to combine recently documented evidence using rigorous and specific search criteria. The available data were analyzed using Bayesian methods, which have the advantage of accounting for uncertainties in estimates. This is in contrast to commonly used frequentist meta-analysis methods, which are not able to model uncertainties as effectively, particularly when there is heterogeneity present. A preliminary search was conducted in the Pubmed, Cochrane, and Scielo databases using appropriate keywords. The search aimed to identify human randomized clinical studies that evaluated post-operative endodontic pain and involved the use of chlorhexidine as an endodontic irrigant or medicament. The preliminary Bayesian meta-analysis produced a more accurate estimate compared to a frequentist random effect meta-analysis model, with a narrower credible interval. The frequentist model demonstrated a detrimental impact of chlorhexidine on post-obturation pain, while the Bayesian model indicated a somewhat favorable effect of chlorhexidine on post-obturation pain. Based on the scope of this investigation, it can be inferred that a Bayesian random effects meta-analysis model demonstrated a somewhat favorable impact of chlorhexidine on post-endodontic pain, which carries significant therapeutic significance.
通过应用贝叶斯荟萃分析方法,评估洗必泰作为牙髓冲洗剂/药物在牙髓治疗后根管充填后疼痛方面的总体影响。本研究旨在使用严格且特定的检索标准整合最近记录的证据。使用贝叶斯方法分析现有数据,该方法具有考虑估计值不确定性的优势。这与常用的频率主义荟萃分析方法形成对比,后者无法有效模拟不确定性,尤其是在存在异质性的情况下。使用适当的关键词在PubMed、Cochrane和Scielo数据库中进行了初步检索。该检索旨在识别评估牙髓术后疼痛且涉及使用洗必泰作为牙髓冲洗剂或药物的人类随机临床研究。与频率主义随机效应荟萃分析模型相比,初步的贝叶斯荟萃分析产生了更准确的估计值,可信区间更窄。频率主义模型显示洗必泰对根管充填后疼痛有不利影响,而贝叶斯模型表明洗必泰对根管充填后疼痛有一定的有利影响。基于本研究的范围,可以推断贝叶斯随机效应荟萃分析模型显示洗必泰对牙髓治疗后疼痛有一定的有利影响,具有重要的治疗意义。