Department of Preventive Dentistry, Periodontology and Implant Biology, Faculty of Dentistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Cretan District Health Directorate, Agia Foteini Health Center, Rethymnon, Greece.
Clin Oral Investig. 2022 Jan;26(1):823-836. doi: 10.1007/s00784-021-04061-w. Epub 2021 Jul 15.
To assess RANKL and OPG levels, as well as RANKL/OPG ratio, in peri-implant crevicular fluid (PICF), in dental implants presenting peri-implantitis (PI) in comparison to healthy implants (H) and to implants with peri-implant mucositis (MU).
An electronic search based on the PICO framework, supplemented by hand searching, was conducted in MEDLINE and EMBASE, using the Ovid interface from 1996 up to and including the 17 of December 2019 in order to identify relevant clinical studies. A combination of MeSH terms and text words was utilized for this purpose. Sequential screenings at the title, abstract, and full-text levels were performed independently and in duplicate. A random-effects meta-analysis was conducted and mean value standardized differences, between PI and H groups, were utilized as effect sizes.
Out of 1961 titles, which were revealed by the search strategy, 11 articles fulfilled the inclusion criteria and were incorporated in the systematic review. Meta-analytical processing was performed for RANKL (4 articles), OPG (5 articles), and RANKL/OPG ratio (5 articles) in PI and H groups. The total effect for RANKL mean differences between PI and H groups indicated a tendency but not a statistical significance (P = 0.078) in favor of the PI group, while no statistically significant differences were found for OPG and the ratio levels in the examined groups.
There is limited evidence that levels of the examined biomarkers, RANKL, and OPG as well as the RANKL/OPG ratio, in PICF, may be considered strong indicators for distinguishing between healthy and inflamed peri-implant sites.
Biomarker identification in PICF, which could differentiate between healthy and diseased dental implants, might represent a valuable non-invasive method suitable for implant pathology and implant therapy prognosis.
评估种植体周围炎（PI）和种植体周围黏膜炎（MU）患者的种植体周围龈沟液（PICF）中 RANKL 和 OPG 水平以及 RANKL/OPG 比值，并与健康种植体（H）进行比较。
基于 PICO 框架进行电子搜索，并辅以手工搜索，通过 Ovid 界面在 MEDLINE 和 EMBASE 中进行搜索，检索时间从 1996 年到 2019 年 12 月 17 日，以确定相关的临床研究。为此目的，使用了 MeSH 术语和文本词的组合。在标题、摘要和全文层面进行了独立和重复的连续筛选。进行了随机效应荟萃分析，并使用 PI 和 H 组之间的均值标准化差异作为效应量。
通过搜索策略共显示 1961 篇标题，其中 11 篇文章符合纳入标准并纳入系统评价。对 PI 和 H 组的 RANKL（4 篇文章）、OPG（5 篇文章）和 RANKL/OPG 比值（5 篇文章）进行了荟萃分析处理。PI 和 H 组之间 RANKL 均值差异的总效应倾向于 PI 组，但无统计学意义（P=0.078），而在检查的组中，OPG 和比值水平没有统计学差异。
有限的证据表明，PICF 中检查的生物标志物 RANKL、OPG 以及 RANKL/OPG 比值可能被认为是区分健康和炎症种植体部位的有力指标。
在 PICF 中识别生物标志物，能够区分健康和患病的种植体，可能代表一种有价值的非侵入性方法，适用于种植体病理学和种植体治疗预后。
